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【影视】 [FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing

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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.5 MB
4. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 71.2 MB
5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.9 MB
5. Bayesian AB Testing/12. UCB1 Theory.mp4 58.5 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
3. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 57.0 MB
5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.8 MB
5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.mp4 54.5 MB
4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 50.5 MB
7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.srt 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
4. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 48.5 MB
5. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 46.1 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 45.9 MB
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【影视】 [FreeCourseLab.com] Udemy - Scala and Spark for Big Data and Machine Learning

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12. Classification with Spark/4. Spark Classification - Logistic Regression Example - Part 2.mp4 58.8 MB
13. Model Evaluation/2. Spark Model Evaluation - Documentation Example.mp4 56.0 MB
16. DataBricks and Spark/4. Zeppelin Notebooks on AWS Elastic MapReduce.mp4 54.9 MB
13. Model Evaluation/3. Spark - Model Evaluation - Regression Example.mp4 54.8 MB
9. Spark DataFrames with Scala/4. Spark DataFrame Operations.mp4 51.9 MB
16. DataBricks and Spark/1. Databricks Overview.mp4 50.3 MB
12. Classification with Spark/3. Spark Classification - Logistic Regression Example - Part 1.mp4 45.0 MB
9. Spark DataFrames with Scala/10. DataFrame Project - Solutions.mp4 43.4 MB
11. Regression with Spark/8. Linear Regression Project Solutions.mp4 42.7 MB
12. Classification with Spark/6. Classification Project Solutions.mp4 42.0 MB
11. Regression with Spark/5. Linear Regression Walkthrough Part 1.mp4 41.6 MB
9. Spark DataFrames with Scala/3. DataFrames Overview.mp4 37.7 MB
10. Introduction to Machine Learning/2. Machine Learning with Spark.mp4 34.0 MB
3. Windows Scala and Spark Set-up and Installation/3. Windows Scala and Spark Installation.mp4 31.6 MB
9. Spark DataFrames with Scala/5. GroupBy and Aggregate Functions.mp4 30.7 MB
8. Scala Programming Level Two/6. Scala Programming Exercises - Solutions.mp4 30.5 MB
5. Linux (Ubuntu) Setup and Installation/1. Installing Scala and Spark on Linux (Ubuntu).mp4 30.3 MB
16. DataBricks and Spark/3. Spark Recommender System Implementation.mp4 29.6 MB
15. PCA with Spark/4. PCA Spark Exercise - Solutions.mp4 28.4 MB
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【影视】 Data Science Practical Automated Machine Learning(Auto ML)

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[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/3. Image classification using ANN AutoKeras.mp4 156.4 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/3. Data preprocessing and Data visulization.mp4 124.1 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/11. Topic Classifer using Autokeras.mp4 112.8 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/4. Model Building.mp4 109.3 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/9. Text classification using Autokeras.mp4 108.0 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/5. Image classification using CNN Autokeras.mp4 105.7 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/3. Auto Sklearn Part 1/3. Data Preprocessing And Data Visualization.mp4 97.6 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/7. Object recognition using autokeras.mp4 87.1 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/3. Auto Sklearn Part 1/4. Building a model.mp4 79.3 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/1. Image classification using AutoKeras.mp4 72.1 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/2.1 Credit_card_fraud_detection.zip 69.9 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/1. Introduction to credit card fraud detection.mp4 66.2 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/5. TPOT Models Part 1/3. Data preprocessing and visualization.mp4 63.2 MB
[TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/6. TPOT Models Part 2/4. Model building.mp4 60.3 MB
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【影视】 [FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

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4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [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
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
4. 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
3. 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
4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [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
5. 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
8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
4. 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/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
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