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【影视】 Bblib.19.01.30.lela.star.learning.the.hard.way

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【影视】 [FreeCoursesOnline.Me] [Packt] Hands-On Deep Q-Learning [FCO]

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02.Fundamentals of Deep Q-Learning/0202.Temporal Difference.mp4 42.5 MB
04.Deep Convolutional Q-Learning Intuition/0401.Convolutional Neural Network.mp4 39.3 MB
03.Build Self Driving Car with Deep Q-Learning/0302.Self Driving Car – Part 1.mp4 37.8 MB
04.Deep Convolutional Q-Learning Intuition/0403.Eligibility Trace.mp4 35.7 MB
03.Build Self Driving Car with Deep Q-Learning/0304.Self Driving Car – Part 3.mp4 33.2 MB
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01.Getting started with Reinforcement Learning/0103.The Bellman Equation.mp4 26.5 MB

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【影视】 Infinite Skills - Learning Bootstrap 2

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0303 Coding Columns In HTML.mp4 27.1 MB
0703 Styling The Featured Icons.mp4 23.8 MB
0704 Tabbed Content.mp4 21.3 MB
0805 Modal Lightbox - Part 2.mp4 20.1 MB
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【影视】 Skillshare - Machine Learning on AWS SageMaker for Beginners

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30-lab_018a_univariate_and_multivariate_analysis.mkv 88.1 MB
10-009___supervised_learning.mkv 70.4 MB
38-lab_25___accessing_pca_model_attributes.mkv 66.1 MB
29-lab_017___exploratory_data_analysis.mkv 65.1 MB
35-lab_22___problem_statement_and_data_import.mkv 65.1 MB
04-003_cloud_computing_services.mkv 57.9 MB
31-lab_018b_univariate_and_multivariate_analysis.mkv 55.3 MB
28-lab__016___problem_statement_and_data_import.mkv 54.9 MB
23-lab_11b___data_cleaning___part___ii.mkv 50.6 MB
36-lab_23___exploratory_data_analysis.mkv 49.5 MB
41-lab_28__accessing_k_means_model_attributes.mkv 48.8 MB
15-lab_003___create_a_notebook_instance.mkv 43.3 MB
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25-lab_13___training_model_in_sagemaker.mkv 38.7 MB
21-lab_10___exploratory_data_analysis.mkv 37.3 MB
39-lab_26___model_deployment_and_conclusion_analysis.mkv 36.6 MB
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【文档书籍】 Alasdair Allan - Learning iOS Programming (3rd edition) - 2013

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【压缩文件】 [ FreeCourseWeb.com ] SkillShare - Data Science and Machine Learning Prerequisite - Mathematics.zip

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[ FreeCourseWeb.com ] SkillShare - Data Science and Machine Learning Prerequisite - Mathematics.zip 151.0 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Beginners Guide To Deep Learning 2022

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~Get Your Files Here !/4 - Getting started with Neural Network/17 - Movie Review Classification Problem.mp4 144.2 MB
~Get Your Files Here !/2 - Building Theoretical Concept/5 - Introduction to neural network.mp4 140.2 MB
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~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4 132.9 MB
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【其他】 A Question of Freedom A Memoir of Learning Survival and Coming of Age in Prison.m4b

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【影视】 [GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python

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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
8. Appendix/10. Is Theano Dead.mp4 18.7 MB
8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB

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【影视】 [TeamSkeet- DaughterSwap] (Yumi Sin, Penelope Woods) Learning For Our Stepdads XXX (2021) (1080p HEVC)

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【影视】 [ CourseWikia.com ] Applied Machine Learning - Feature Engineering (2024)

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~Get Your Files Here !/05 - 4. Temporal Features/04 - Solution Temporal features.mp4 22.4 MB
~Get Your Files Here !/03 - 2. Categorical Encoding/01 - One hot encoding.mp4 21.5 MB
~Get Your Files Here !/06 - 5. Feature Evaluation/01 - Importance and weights.mp4 20.9 MB
~Get Your Files Here !/04 - 3. Feature Extraction/03 - TFIDF.mp4 16.8 MB
~Get Your Files Here !/05 - 4. Temporal Features/02 - Seasonality and trend decomposition.mp4 15.7 MB
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【影视】 [PaidCoursesForFree.com] - Udemy - Applied Deep Learning Build a Chatbot - Theory, Application

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6. Practical Part 4 - Building the Model/2. Defining the Encoder.mp4 254.0 MB
6. Practical Part 4 - Building the Model/6. Designing the Decoder Part 2.mp4 167.9 MB
6. Practical Part 4 - Building the Model/4. Designing the Attention Model.mp4 158.8 MB
7. Practical Part 5 - Training the Model/3. Visualize Training Part 1.mp4 138.3 MB
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7. Practical Part 5 - Training the Model/5. Training.mp4 128.8 MB
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5. Practical Part 3 - Data Preperation/5. Preparing the Data for Model Part 4.mp4 109.4 MB
4. Practical Part 2 - Processing the Dataset/8. Processing the Text Part 2.mp4 100.3 MB
4. Practical Part 2 - Processing the Dataset/7. Processing the Text.mp4 100.3 MB
4. Practical Part 2 - Processing the Dataset/6. Processing the Words.mp4 93.5 MB
5. Practical Part 3 - Data Preperation/4. Preparing the Data for Model Part 3.mp4 92.9 MB
5. Practical Part 3 - Data Preperation/1. Preparing the Data for Model Part 1.mp4 91.3 MB
4. Practical Part 2 - Processing the Dataset/10. Getting Rid of Rare Words.mp4 86.5 MB
4. Practical Part 2 - Processing the Dataset/1. The Dataset.mp4 85.8 MB
1. Theory Part 1 - RNNs and LSTMs/2. Introduction to RNNs Part 1.mp4 83.3 MB
3. Practical Part 1 - Introduction to PyTorch/2. Torch Tensors Part 1.mp4 81.5 MB
4. Practical Part 2 - Processing the Dataset/4. Processing the Dataset Part 3.mp4 79.4 MB
4. Practical Part 2 - Processing the Dataset/3. Processing the Data Part 2.mp4 77.4 MB
3. Practical Part 1 - Introduction to PyTorch/1. Installing PyTorch and an Introduction.mp4 76.5 MB

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【压缩文件】 Curso completo de Machine Learning Data Science con RStudio.rar

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【影视】 GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp

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04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4 215.3 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
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12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
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【影视】 [FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

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5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

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