mp4 [OTUS] Промышленный Machine Learning на больших данных (2020)
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01 Introduction & Inductive learning/10. A Framework for Studying Inductive Learning.mp4 201.81 MB
05 Bayesian Learning/2. Bayes' Theorem and MAP Hypotheses.mp4 193.26 MB
05 Bayesian Learning/7. The Naive Bayes Classifier.mp4 187.05 MB
03 Rule Induction/6. Learning First Order Rules Using FOIL.mp4 186.93 MB
01 Introduction & Inductive learning/9. The Essence of Inductive Learning.mp4 182.51 MB
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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 335.65 MB
2.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4 323.61 MB
2.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4 312.61 MB
1.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4 282.26 MB
2.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4 276.57 MB
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1 Introduction/Tools – Android Studio and Emulators - Learning Android N Application Development [Video].mp4 33.29 MB
1 Introduction/Tools Overview - Learning Android N Application Development [Video].mp4 26.91 MB
1 Introduction/Basics of Android - Learning Android N Application Development [Video].mp4 21.9 MB
1 Introduction/The Course Overview - Learning Android N Application Development [Video].mp4 16.96 MB
1 Introduction/Anatomy of Our app - Learning Android N Application Development [Video].mp4 6.39 MB
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4. Building a Reproducible Machine Learning Pipeline/3. Designing a Custom Pipeline.mp4 152.88 MB
2. Machine Learning Pipeline - Research Environment/6. Data Analysis - Demo.mp4 135.44 MB
2. Machine Learning Pipeline - Research Environment/7. Feature Engineering - Demo.mp4 98.16 MB
13. A Deep Learning Model with Big Data/3. Building a CNN in the Research Environment.mp4 88.8 MB
4. Building a Reproducible Machine Learning Pipeline/2. Procedural Programming Pipeline.mp4 86.19 MB
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To keep us going please read.txt 232 B
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