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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python
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收录时间:2021-03-11
文档个数:224
文档大小:8.2 GB
最近下载:2025-05-11
人气:1152
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2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4 113.1 MB
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- 【影视】 TTC - The Learning Brain
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收录时间:2018-07-25
文档个数:25
文档大小:8.2 GB
最近下载:2025-05-16
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01. Learning 101.mp4 331.6 MB
02. What Amnesia Teaches Us about Learning.mp4 325.1 MB
03. Conscious, Explicit Learning.mp4 313.0 MB
04. Episodic Memory and Eyewitness Testimony.mp4 312.5 MB
05. Semantic Memory.mp4 351.0 MB
06. The Neural Basis of Explicit Learning.mp4 343.9 MB
07. Strategies for Effective Explicit Learning.mp4 350.7 MB
08. Controversies in Explicit Learning Research.mp4 343.6 MB
09. Unconscious, Implicit Learning.mp4 351.2 MB
10. The Psychology of Skill Learning.mp4 337.8 MB
11. Language Acquisition.mp4 381.5 MB
12. The Neural Basis of Implicit Learning.mp4 334.0 MB
13. Strategies for Effective Skill Learning.mp4 322.9 MB
14. Learning Bad Habits Addiction.mp4 318.8 MB
15. Introduction to Working Memory.mp4 375.2 MB
1569_LearningBrain.pdf 5.6 MB
16. Components of Working Memory.mp4 327.2 MB
17. The Neural Basis of Working Memory.mp4 357.9 MB
18. Training Your Working Memory.mp4 355.0 MB
19. How Motivation Affects Learning.mp4 326.5 MB
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- 【影视】 Machine Learning, Data Science and Deep Learning with Python
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收录时间:2022-03-09
文档个数:3262
文档大小:8.0 GB
最近下载:2025-05-13
人气:739
磁力链接
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/7. [Activity] Decision Trees in Spark.mp4 202.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 2.mp4 180.7 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/8. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/11. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/10. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
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- 【影视】 Learn Python for Data Science & Machine Learning from AZ
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收录时间:2023-12-25
文档个数:457
文档大小:8.0 GB
最近下载:2025-05-11
人气:3937
磁力链接
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/19 - PCA/127 - PCA Image Compression.mp4 262.1 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/16 - Ensemble Learning and Random Forests/100 - Implementing Random Forests from scratch Part 1.mp4 212.4 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/85 - ID3 Putting Everything Together.mp4 191.3 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/14 - K Nearest Neighbors/68 - EDA on Iris Dataset.mp4 169.7 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/81 - What is Entropy and Information Gain.mp4 142.7 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/19 - PCA/129 - PCA Biplot and the Screen Plot.mp4 142.2 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/1 - Introduction/6 - How To Get a Data Science Job.mp4 137.6 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/1 - Introduction/5 - What is a Data Scientist.mp4 133.6 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/17 - Support Vector Machines/113 - SVM Kernel Types.mp4 132.5 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/80 - EDA on Adult Dataset.mp4 129.2 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/86 - Evaluating our ID3 implementation.mp4 127.9 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/19 - PCA/128 - PCA Data Preprocessing.mp4 126.3 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/15 - Decision Trees/91 - Pruning.mp4 118.5 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/17 - Support Vector Machines/115 - SVM with Nonlinear Dataset.mp4 117.0 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/13 - Linear and Logistic Regression/63 - Linear Regression Correlation Methods.mp4 115.7 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/18 - Kmeans/120 - Data Standardization.mp4 114.9 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/3 - Python For Data Science/28 - Python Dictionaries.mp4 109.2 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/17 - Support Vector Machines/114 - SVM with Linear Dataset Iris.mp4 106.5 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/18 - Kmeans/118 - Unsupervised Machine Learning Intro.mp4 105.8 MB
[TutsNode.net] - Learn Python for Data Science & Machine Learning from AZ/9 - Machine Learning/56 - Introduction To Machine Learning.mp4 103.5 MB
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- 【影视】 DP-100 A-Z Machine Learning using Azure Machine Learning
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收录时间:2021-04-07
文档个数:680
文档大小:8.0 GB
最近下载:2025-05-15
人气:6057
磁力链接
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/15. DesignerClassic Studio Vs Pandas and Scikit-learn/14. Data Normalization.mp4 128.4 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/15. DesignerClassic Studio Vs Pandas and Scikit-learn/20. Build Logistic Regression using Python - Part 2.mp4 122.9 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/6. Access Workspace, Datastore and Datasets using SDK.mp4 116.1 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/20. Train and Run a Model Script in AzureML Part 3.mp4 115.4 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/29. Automate Model Training - Create Dataprep Step.mp4 115.0 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/15. DesignerClassic Studio Vs Pandas and Scikit-learn/18. Split The Data for training and testing.mp4 112.7 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/4. Create and Register a Datastore using AzureML SDK.mp4 106.2 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/20. Azure Fundamentals/5. Azure Storage hands on.mp4 102.3 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/8. Upload local data to storage account via datastore.mp4 101.8 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/5. Create and Register a Dataset using SDK.mp4 100.7 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/14. Azure Machine Learning with Studio Designer/13. Create a Pipeline using AzureML Designer.mp4 98.9 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/11. Run a sample experiment using AzureML SDK - Part 2.mp4 98.7 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/22. Train and Run a Model Script in AzureML Part 5.mp4 97.0 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/7. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4 95.5 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/12. Text Analytics and Natural Language Processing/6. [Hands On] - Classify Customer Complaints using Text Analytics.mp4 95.4 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/19. Train and Run a Model Script in AzureML Part 2.mp4 94.9 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/14. Azure Machine Learning with Studio Designer/14. Submit the Designer Pipeline run.mp4 94.3 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/14. Azure Machine Learning with Studio Designer/7. Create and Register a Datastore.mp4 94.2 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/25. Automate Model Training - Define Pipeline Steps.mp4 93.7 MB
[TutsNode.com] - DP-100 A-Z Machine Learning using Azure Machine Learning/16. Azure Machine Learning with AzureML SDK/7. Pandas Dataframe and AzureML Dataset conversions.mp4 93.3 MB
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- 【影视】 [Udemy][YouRa Allakhverdov] Data Science и Machine Learning на Python 3 с нуля (2022)
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收录时间:2024-06-27
文档个数:220
文档大小:8.0 GB
最近下载:2025-04-29
人气:281
磁力链接
Раздел 13 Machine Learning. Линейная регрессия/[SW.BAND] 5 Задание по линейной регрессии. Решение.mp4 211.7 MB
Раздел 17 Decision Trees и Random Forests/[SW.BAND] 4 Решение задания.mp4 202.6 MB
Раздел 11 Data Science Final Project/[SW.BAND] 2 Задание US Shootings. Решение.mp4 195.6 MB
Раздел 3 Основы Python/[SW.BAND] 8 Форматирование строк в Python.mp4 184.7 MB
Раздел 4 Функции Python/[SW.BAND] 3 args _ kwargs.mp4 171.3 MB
Раздел 4 Функции Python/[SW.BAND] 2 Создание функций в Python.mp4 165.2 MB
Раздел 7 Анализ данных. Библиотека Pandas/[SW.BAND] 10 Input Output.mp4 159.4 MB
Раздел 15 Machine Learning. Логистическая регрессия/[SW.BAND] 6 Решение задания.mp4 158.2 MB
Раздел 15 Machine Learning. Логистическая регрессия/[SW.BAND] 2 Множество данных “Титаник”. Исследование данных.mp4 156.0 MB
Раздел 3 Основы Python/[SW.BAND] 4 Переменные в Python.mp4 154.8 MB
Раздел 16 Метод k-ближайших соседей/[SW.BAND] 4 Решение задания.mp4 152.6 MB
Раздел 4 Функции Python/[SW.BAND] 4 Лямбда выражения в функциях.mp4 152.4 MB
Раздел 9 Визуализация данных. Библиотека Seaborn/[SW.BAND] 2 Dataset Distribution.mp4 147.0 MB
Раздел 16 Метод k-ближайших соседей/[SW.BAND] 2 Метод k-ближайших соседей.mp4 146.6 MB
Раздел 3 Основы Python/[SW.BAND] 20 Dictionary Comprehension _ Set Comprehension и Nested loops.mp4 141.9 MB
Раздел 13 Machine Learning. Линейная регрессия/[SW.BAND] 3 Линейная регрессия. Создание модели.mp4 135.4 MB
Раздел 12 Знакомство с Machine Learning/[SW.BAND] 3 Оценка производительности модели. Классификация.mp4 135.1 MB
Раздел 6 Анализ данных. Библиотека NumPy/[SW.BAND] 1 NumPy массивы.mp4 134.8 MB
Раздел 8 Визуализация данных. Библиотека Matplotlib/[SW.BAND] 6 Задание по разделу Matplotlib. Решение.mp4 134.1 MB
Раздел 10 Визуализация данных. Встроенная визуализация библиотеки Pandas/[SW.BAND] 1 Встроенная визуализация библиотеки Pandas.mp4 133.9 MB
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- 【影视】 Machine Learning Data Science and Deep Learning with Python
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收录时间:2021-05-27
文档个数:205
文档大小:8.0 GB
最近下载:2025-05-15
人气:1634
磁力链接
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/7. [Activity] Decision Trees in Spark.mp4 202.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 2.mp4 180.7 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/8. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/11. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/10. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
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- 【影视】 [Udemy] Practical AI with Python and Reinforcement Learning (07.2021)
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收录时间:2022-02-26
文档个数:251
文档大小:7.9 GB
最近下载:2025-05-15
人气:3970
磁力链接
11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4 101.4 MB
04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4 100.9 MB
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- 【影视】 [Udemy] Practical AI with Python and Reinforcement Learning (07.2021)
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收录时间:2024-01-22
文档个数:251
文档大小:7.9 GB
最近下载:2025-05-13
人气:1255
磁力链接
11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4 101.4 MB
04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4 100.9 MB
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- 【影视】 2021 Python for Data Science & Machine Learning from A-Z
-
收录时间:2021-03-09
文档个数:429
文档大小:7.9 GB
最近下载:2025-05-15
人气:2095
磁力链接
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/7. PCA - Image Compression.mp4 262.1 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/13. Pruning.mp4 118.5 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/18. K-means/3. Representing Clusters.mp4 114.9 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
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8. Apache Spark Machine Learning on Big Data/8. [Activity] Decision Trees in Spark.mp4 202.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 180.7 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
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9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 402.9 MB
8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 214.0 MB
11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 183.8 MB
6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 177.7 MB
4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 175.0 MB
9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 158.6 MB
11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 157.9 MB
3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 153.8 MB
2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 153.0 MB
5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 148.4 MB
4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 141.9 MB
10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 141.1 MB
9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 134.0 MB
8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 125.5 MB
9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 125.5 MB
4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 124.5 MB
5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 122.7 MB
8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 122.5 MB
4. Computer Vision Basics Part 1/8. Color Spaces.mp4 119.2 MB
9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 117.0 MB
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9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 402.9 MB
8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 214.0 MB
11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 183.8 MB
6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 177.7 MB
4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 175.0 MB
9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 158.6 MB
11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 157.9 MB
3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 153.8 MB
2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 153.0 MB
5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 148.4 MB
4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 141.9 MB
10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 141.1 MB
9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 134.0 MB
8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 125.5 MB
9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 125.5 MB
4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 124.5 MB
5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 122.7 MB
8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 122.5 MB
4. Computer Vision Basics Part 1/8. Color Spaces.mp4 119.2 MB
9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 117.0 MB
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18. Setting up your Environment (FAQ by Student Request)/2. Windows-Focused Environment Setup 2018.mp4 189.5 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.5 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.5 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
1. Introduction/2. Overview and Outline.mp4 83.5 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.7 MB
3. Machine Learning and Neurons/10. Classification Notebook.mp4 82.1 MB
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19. PCA/7. PCA - Image Compression.mp4 262.1 MB
16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
15. Decision Trees/13. Pruning.mp4 118.5 MB
17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
18. K-means/3. Representing Clusters.mp4 114.9 MB
3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB
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收录时间:2022-01-13
文档个数:292
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最近下载:2025-05-11
人气:1159
磁力链接
19. PCA/7. PCA - Image Compression.mp4 262.1 MB
16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
15. Decision Trees/13. Pruning.mp4 118.5 MB
17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
18. K-means/3. Representing Clusters.mp4 114.9 MB
3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
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收录时间:2022-04-10
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磁力链接
19. PCA/7. PCA - Image Compression.mp4 262.1 MB
16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
15. Decision Trees/13. Pruning.mp4 118.5 MB
17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
18. K-means/3. Representing Clusters.mp4 114.9 MB
3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB
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收录时间:2022-01-10
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19. PCA/7. PCA - Image Compression.mp4 262.1 MB
16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
15. Decision Trees/13. Pruning.mp4 118.5 MB
17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
18. K-means/3. Representing Clusters.mp4 114.9 MB
3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB
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[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 189.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 113.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.8 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 83.5 MB
[CourseRecap.Com] - PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.8 MB
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PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 189.4 MB
PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
PyTorch - Deep Learning and Artificial Intelligence/18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 113.5 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 111.5 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.8 MB
PyTorch - Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 97.1 MB
PyTorch - Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 96.6 MB
PyTorch - Deep Learning and Artificial Intelligence/2. Google Colab/2. Uploading your own data to Google Colab.mp4 94.9 MB
PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.9 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.6 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 90.9 MB
PyTorch - Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 85.1 MB
PyTorch - Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 84.1 MB
PyTorch - Deep Learning and Artificial Intelligence/1. Introduction/2. Overview and Outline.mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/19. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 83.5 MB
PyTorch - Deep Learning and Artificial Intelligence/3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 82.8 MB
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