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【影视】 [DesireCourse.Net] Udemy - Machine Learning - A-Z™ Full Course

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2. Machine Learning using R/4. Complete Machine Learning Course.mp4 944.4 MB
2. Machine Learning using R/8. Random Forest Tutorial.mp4 540.0 MB
2. Machine Learning using R/10. Sentiment Analysis in R.mp4 422.8 MB
2. Machine Learning using R/5. Machine Learning Algorithms.mp4 393.4 MB
3. Machine Learning using Python/2. Logistic Regression in Python.mp4 382.6 MB
3. Machine Learning using Python/9. Reinforcement Learning.mp4 345.4 MB
3. Machine Learning using Python/3. Decision Tree Algorithm.mp4 331.5 MB
2. Machine Learning using R/3. Machine Learning with R Machine.mp4 315.6 MB
2. Machine Learning using R/11. Data Mining using R.mp4 313.8 MB
3. Machine Learning using Python/6. Time Series Analysis.mp4 283.2 MB
2. Machine Learning using R/9. Support Vector.mp4 231.4 MB
3. Machine Learning using Python/11. Probabilistic Graphical Models.mp4 212.5 MB
3. Machine Learning using Python/4. K Means Clustering Algorithm K Means Example in Python.mp4 211.7 MB
3. Machine Learning using Python/12. Machine Learning Projects.mp4 208.7 MB
3. Machine Learning using Python/5. Naive Bayes Classifier in Python.mp4 208.0 MB
2. Machine Learning using R/6. Linear Regression Algorithm.mp4 196.0 MB
2. Machine Learning using R/7. Linear Regression vs Logistic Regression.mp4 159.8 MB
3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.mp4 149.5 MB
2. Machine Learning using R/13. Boosting Machine Learning.mp4 146.7 MB
2. Machine Learning using R/2. Data Science vs Machine Learning.mp4 132.9 MB

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【影视】 [DesireCourse.Net] Udemy - The Machine Learning Course 2020

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3. Machine Learning Tutorial - Lecture Three.mp4 74.1 MB
4. Machine Learning Tutorial - Lecture Four.mp4 63.3 MB
1. Machine Learning Tutorial - Lecture One.mp4 62.1 MB
5. Machine Learning Tutorial - Lecture Five.mp4 59.3 MB
2. Machine Learning Tutorial - Lecture Two.mp4 53.9 MB
5. Machine Learning Tutorial - Lecture Five.srt 7.2 kB
3. Machine Learning Tutorial - Lecture Three.srt 7.1 kB
1. Machine Learning Tutorial - Lecture One.srt 6.9 kB
4. Machine Learning Tutorial - Lecture Four.srt 6.2 kB
2. Machine Learning Tutorial - Lecture Two.srt 6.0 kB
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【影视】 Machine Learning Data Science and Deep Learning with Python

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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】 [FreeCoursesOnline.Me] AWS Certified Machine Learning – Specialty 2019

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07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
06 Modeling/007 Modeling Lab.mp4 151.0 MB
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
01 Introduction/003 About This Course.mp4 88.5 MB
01 Introduction/002 About The Exam.mp4 65.0 MB
04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
04 Data Preparation/009 Helper Tools.mp4 56.0 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
07 Algorithms/003 Concepts.mp4 49.6 MB
07 Algorithms/004 Regression.mp4 48.5 MB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 47.2 MB
09 Implementation and Operations/006 Security.mp4 45.7 MB
09 Implementation and Operations/002 Concepts.mp4 45.2 MB

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【影视】 [GigaCourse.com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
6. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.srt 39.7 MB
6. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.srt 31.5 MB
6. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.8 MB
6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
4. Random Forest/6. Connection to Deep Learning Dropout.srt 19.9 MB
5. AdaBoost/4. AdaBoost Implementation.srt 19.4 MB
4. Random Forest/1. Random Forest Algorithm.srt 17.7 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.5 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
6. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 15.5 MB

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【影视】 [self-learning] Курс по T-SQL Путь программиста от новичка к профессионалу Уровень 5 (2021)

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06_Урок 3.mp4 163.7 MB
02_Урок 1.mp4 138.4 MB
04_Урок 2.mp4 70.2 MB
01_Введение.mp4 26.0 MB
06_Урок 3-1.pdf 9.3 MB
07_Урок 3-2.pdf 8.4 MB
02_Урок 1.pdf 7.9 MB
04_Урок 2.pdf 6.6 MB
01_Введение.pdf 1.4 MB
08_Урок 3 (Тест).pdf 1.1 MB
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05_Урок 2 (Тест).pdf 496.0 kB

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【影视】 Hurlbut Academy - Learning To Light Night Exteriors

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02_Moonlight Grey/Part 01_The Shoot/Part 01_The Shoot.mp4 537.1 MB
02_Moonlight Grey/Part 02_The Shoot/Part 02_The Shoot.mp4 320.9 MB
01_Moonlight Blue/Part 02_The Setup (DIY)/Part 02_The Setup (DIY).mp4 301.0 MB
01_Moonlight Blue/Part 01_The Scout/Part 01_The Scout.mp4 279.3 MB
01_Moonlight Blue/Part 03_The Shoot/Part 03_The Shoot.mp4 264.7 MB
01_Moonlight Blue/Part 02_The Setup (DIY)/Part 02_The Setup (DIY).pdf 15.5 MB
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01_Moonlight Blue/Part 03_The Shoot/Part 03_The Shoot.pdf 9.8 MB
01_Moonlight Blue/Part 01_The Scout/Part 01_The Scout.pdf 6.0 MB
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【影视】 Learning.to.Breathe.2016.1080p.WEBRip.x264-RARBG

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Learning.to.Breathe.2016.1080p.WEBRip.x264-RARBG.mp4 1.9 GB
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【影视】 [Tutorialsplanet.NET] Udemy - Practical Machine Learning by Example in Python

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4. Foundations NumPy/6. Linear Regression Example.mp4 67.8 MB
2. Python Quick Start/12. Classes.mp4 65.5 MB
7. Foundations Pandas/2. Loading and inspecting data example.mp4 61.9 MB
3. Example Logistic Regression/3. Data analysis.mp4 61.8 MB
9. Example Sentiment Analysis/11. Transfer Learning Example.mp4 60.6 MB
6. Example Image recognition/14. Hyperparameter tuning example.mp4 55.0 MB
2. Python Quick Start/3. String formatting.mp4 54.9 MB
4. Foundations NumPy/5. Introduction to Linear Regression.mp4 54.8 MB
6. Example Image recognition/8. Model training.mp4 52.7 MB
10. Example Fraud detection/9. Making predictions.mp4 51.8 MB
3. Example Logistic Regression/8. Gradient descent.mp4 48.5 MB
9. Example Sentiment Analysis/5. Data Preparation.mp4 46.5 MB
8. Example Recommendations/8. Model definition.mp4 44.3 MB
10. Example Fraud detection/2. Data analysis.mp4 43.8 MB
3. Example Logistic Regression/12. Making predictions.mp4 42.3 MB
7. Foundations Pandas/5. Sorting and transforming data example.mp4 41.8 MB
9. Example Sentiment Analysis/12. Fine Tuning and Prediction.mp4 41.5 MB
6. Example Image recognition/2. Data analysis.mp4 40.2 MB
3. Example Logistic Regression/6. The forward function.mp4 39.7 MB
8. Example Recommendations/5. Data preparation.mp4 37.9 MB

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WankzVR - Higher Learning - Adria Rae, Kali Roses_1920p.mp4 17.6 GB

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【影视】 [FCO] AppliedAICourse - Applied Machine Learning Course

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1.1 - How to Learn from Appliedaicourse/1.1 - How to Learn from Appliedaicourse.mp4 465.1 MB
34.2 - Productionization and deployment of Machine Learning Models/34.2 - Productionization and deployment of Machine Learning Models.mp4.mkv 280.3 MB
1.2 - How the Job Guarantee program works/1.2 - How the Job Guarantee program works.mp4 255.7 MB
5.1 - Numpy Introduction/5.1 - Numpy Introduction.mp4 164.7 MB
5.2 - Numerical operations on Numpy/5.2 - Numerical operations on Numpy.mp4 163.6 MB
45.9 - Univariate AnalysisGene feature/45.9 - Univariate AnalysisGene feature.mp4 151.2 MB
3.1 - Lists/3.1 - Lists.mp4 148.1 MB
49.6 - Softmax Classifier on MNIST dataset/49.6 - Softmax Classifier on MNIST dataset..mp4 146.9 MB
57.26 - Data Control Language GRANT, REVOKE/57.26 - Data Control Language GRANT, REVOKE.mp4 145.4 MB
51.6 - LSTM/51.6 - LSTM..mp4 143.8 MB
54.4 - Char-RNN with abc-notation Data preparation/54.4 - Char-RNN with abc-notation Data preparation..mp4 138.1 MB
41.9 - EDA Advanced Feature Extraction/41.9 - EDA Advanced Feature Extraction.mp4 137.7 MB
51.10 - Code example IMDB Sentiment classification/51.10 - Code example IMDB Sentiment classification.mp4 128.7 MB
23.5 - Naive Bayes algorithm/23.5 - Naive Bayes algorithm.mp4 122.4 MB
42.13 - Code for bag of words based product similarity/42.13 - Code for bag of words based product similarity.mp4 122.0 MB
50.2 - ConvolutionEdge Detection on images/50.2 - ConvolutionEdge Detection on images..mp4 121.6 MB
23.6 - Toy example Train and test stages/23.6 - Toy example Train and test stages.mp4 121.5 MB
45.13 - Baseline Model Naive Bayes/45.13 - Baseline Model Naive Bayes.mp4 121.0 MB
53.12 - Test and visualize the output/53.12 - Test and visualize the output..mp4 119.3 MB
17.1 - Dataset overview Amazon Fine Food reviews(EDA)/17.1 - Dataset overview Amazon Fine Food reviews(EDA).mp4 116.4 MB

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【影视】 Machine Learning for Red Team Hackers

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5. Adversarial Machine Learning/4. Black-Box Attack On Clarif.AI.mp4 188.0 MB
2. Hacking CAPTCHA Systems/4. Preprocessing The Dataset.mp4 180.2 MB
6. Deepfake/3. Deepfake Dry Run.mp4 155.4 MB
3. Smart Fuzzing/4. How To Write Your Own Evolutionary Fuzzer.mp4 132.0 MB
3. Smart Fuzzing/5. Fuzzing With AFL.mp4 119.0 MB
4. Evading Machine Learning Malware Classifiers/4. Evading A Machine Learning Malware Classifier.mp4 96.3 MB
2. Hacking CAPTCHA Systems/5. Training A Deep Neural Network.mp4 91.1 MB
6. Deepfake/4. Setting Up Your Deepfake Rig.mp4 89.0 MB
4. Evading Machine Learning Malware Classifiers/2. Meet A Machine Learning Malware Classifier.mp4 81.3 MB
2. Hacking CAPTCHA Systems/3. Constructing A Dataset.mp4 67.0 MB
3. Smart Fuzzing/3. Mutation.mp4 63.4 MB
3. Smart Fuzzing/2. Basic Fuzzing And Code Coverage.mp4 59.5 MB
7. Hacking Machine Learning/2. Machine Learning Poisoning.mp4 57.6 MB
5. Adversarial Machine Learning/2. White-Box Attacks On Machine Learning.mp4 55.9 MB
2. Hacking CAPTCHA Systems/6. Building A CAPTCHA Breaking Bot.mp4 43.3 MB
6. Deepfake/1. Intro - What Is Deepfake.mp4 40.3 MB
1. Introduction/1. Introduction to Course Content.mp4 38.7 MB
7. Hacking Machine Learning/1. Model Stealing Attacks On ML.mp4 36.1 MB
5. Adversarial Machine Learning/3. Getting Started With Clarif.AI.mp4 32.8 MB
2. Hacking CAPTCHA Systems/2. Reconnaissance.mp4 29.8 MB

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【影视】 Humble Bundle - Artificial Intelligence & Machine Learning by Packt

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Mathematical Foundation for AI and Machine Learning/video3_5.mp4 539.2 MB
Hands-On AI for Finance/Supplement/Section 4/source/data/transactions.csv 493.5 MB
Hands-On Python Deep Learning/Supplement/summary.tar/summary.tar 322.0 MB
Deep Learning Architecture for Building Artificial Neural Networks/video1_2.mp4 135.4 MB
The Complete Machine Learning Course with Python/video3_17.mp4 96.0 MB
Deep Learning Architecture for Building Artificial Neural Networks/video1_1.mp4 95.1 MB
The Complete Machine Learning Course with Python/video10_5.mp4 86.1 MB
The Complete Machine Learning Course with Python/video3_18.mp4 85.7 MB
The Complete Machine Learning Course with Python/video5_2.mp4 85.5 MB
Hands-On AI for Finance/video2_3.mp4 83.7 MB
The Complete Machine Learning Course with Python/video3_3.mp4 83.1 MB
The Complete Machine Learning Course with Python/video2_1.mp4 82.9 MB
The Complete Machine Learning Course with Python/video3_4.mp4 82.4 MB
The Complete Machine Learning Course with Python/video3_12.mp4 82.2 MB
The Complete Machine Learning Course with Python/video3_8.mp4 79.6 MB
The Complete Machine Learning Course with Python/video3_9.mp4 78.9 MB
The Complete Machine Learning Course with Python/video4_7.mp4 76.7 MB
The Complete Machine Learning Course with Python/video3_11.mp4 76.1 MB
The Complete Machine Learning Course with Python/video3_20.mp4 75.8 MB
The Complete Machine Learning Course with Python/video2_3.mp4 72.5 MB

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