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【影视】 [ CourseMega.com ] Udemy - Speed Reading MACHINE 3.1 - How To Read 307 Books In 2021

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~Get Your Files Here !/02 - Your Curriculum/003 3 Types of Books that Make You Smarter.mp4 142.4 MB
~Get Your Files Here !/01 - Introduction/005 How to Read One Book Per Day.mp4 122.5 MB
~Get Your Files Here !/01 - Introduction/002 Today a reader, Tomorrow a leader.mp4 121.0 MB
~Get Your Files Here !/02 - Your Curriculum/004 The Best Way to Find More Time to Read.mp4 108.6 MB
~Get Your Files Here !/03 - Your Reading Mindset/006 Dale Carnegie on reading books.mp4 102.7 MB
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~Get Your Files Here !/02 - Your Curriculum/002 2 Steps On Choosing Your Next Book To Read.mp4 93.3 MB
~Get Your Files Here !/03 - Your Reading Mindset/002 Find out the right mindset while reading.mp4 73.7 MB
~Get Your Files Here !/05 - Your Reading Habits/003 Each morning before i start work I take 30 minutes to read whatever non-fiction.mp4 67.1 MB
~Get Your Files Here !/03 - Your Reading Mindset/003 The multi-step reading strategy.mp4 64.7 MB
~Get Your Files Here !/05 - Your Reading Habits/001 How to self-motivate yourself to read.mp4 64.6 MB
~Get Your Files Here !/04 - Your Reading Strategies/004 Note taking.mp4 48.3 MB
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【影视】 [FreeCoursesOnline.Me] MANNING - Machine Learning for Mere Mortals

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【影视】 [ FreeCourseWeb.com ] Udemy - Mathematical Foundations of Machine Learning (Update)

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~Get Your Files Here !/1. Data Structures for Linear Algebra/7. Norms and Unit Vectors.mp4 112.6 MB
~Get Your Files Here !/6. Limits/7. Calculating Limits.mp4 107.3 MB
~Get Your Files Here !/4. Eigenvectors and Eigenvalues/1. Segment Intro.mp4 106.5 MB
~Get Your Files Here !/5. Matrix Operations for Machine Learning/4. The Moore-Penrose Pseudoinverse.mp4 102.5 MB
~Get Your Files Here !/5. Matrix Operations for Machine Learning/3. Data Compression with SVD.mp4 101.7 MB
~Get Your Files Here !/4. Eigenvectors and Eigenvalues/8. Determinants and Eigenvalues.mp4 93.7 MB
~Get Your Files Here !/4. Eigenvectors and Eigenvalues/9. Eigendecomposition.mp4 88.0 MB
~Get Your Files Here !/1. Data Structures for Linear Algebra/9. Matrix Tensors.mp4 86.1 MB
~Get Your Files Here !/1. Data Structures for Linear Algebra/6. Vectors and Vector Transposition.mp4 86.0 MB
~Get Your Files Here !/3. Matrix Properties/9. Orthogonal Matrix Exercises.mp4 82.4 MB
~Get Your Files Here !/5. Matrix Operations for Machine Learning/2. Singular Value Decomposition.mp4 80.4 MB
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【影视】 End-to-End Machine Learning with TensorFlow on GCP

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06. Operationalize the model/04. Lab 4 demo and review.mp4 62.1 MB
06. Operationalize the model/09. Lab 5 demo and review.mp4 61.0 MB
05. Build the Model/04. Lab 3 -demo and review.mp4 59.7 MB
04. Create the dataset/04. Lab 2-demo and review.mp4 49.7 MB
07. Summary/01. Summary.mp4 39.6 MB
06. Operationalize the model/12. Lab Solution BigQuery ML.mp4 37.0 MB
06. Operationalize the model/16. Lab 6 -demo and review.mp4 35.1 MB
01. Welcome to the Course/02. Course Introduction.mp4 33.9 MB
06. Operationalize the model/18. Lab 7 -demo and review.mp4 30.7 MB
03. Explore the Data/07. Lab 1 demo and review.mp4 30.3 MB
03. Explore the Data/01. Exploring the dataset.mp4 27.6 MB
05. Build the Model/01. Build the model.mp4 27.5 MB
05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.mp4 26.8 MB
01. Welcome to the Course/01. Intro to Specialization.mp4 19.2 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.mp4 18.0 MB
03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.mp4 17.7 MB
04. Create the dataset/01. Creating a dataset.mp4 17.6 MB
06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.mp4 16.6 MB
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[TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
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25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
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25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
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