learning python -移花宫 -武林禁地，闲人禁止入内

[ FreeCourseWeb.com ] Udemy - Python Numpy - Machine Learning & Data Science Course.zip

[ FreeCourseWeb.com ] Udemy - Python Numpy - Machine Learning & Data Science Course.zip 1.4 GB

[磁力链接] 添加时间:2022-02-06 大小:1.4 GB 最近下载:2025-09-09 热度:217

Packt Publishing - Python Machine Learning Solutions

Packt Publishing - Python Machine Learning Solutions.iso 1.4 GB
More_info.txt 287 Bytes

[磁力链接] 添加时间:2017-02-10 大小:1.4 GB 最近下载:2025-05-17 热度:239

[LinkedIn Learning] Advance Your Skills in Python - Complete 7 Courses

3. Python Data Structures and Algorithms/2 - The Stack Data Structure/2. Build a stack class in Python.mp4 43.1 MB
3. Python Data Structures and Algorithms/4 - Depth-First Search Algorithm/4. Code a depth-first search in Python.mp4 38.2 MB
3. Python Data Structures and Algorithms/5 - The Queue Data Structure/2. Build a queue class in Python.mp4 26.4 MB
3. Python Data Structures and Algorithms/6 - The Breadth-First Search Algorithm/3. Code a breadth-first search in Python.mp4 26.1 MB
5. Python GUI Development with Tkinter/0 - Introduction/1. Create a GUI for your Python desktop application.mp4 25.6 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/3. Code the A algorithm in Python.mp4 25.2 MB
3. Python Data Structures and Algorithms/7 - The Priority Queue Data Structure/2. Use the heap module to implement a priority queue.mp4 22.3 MB
1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/1. Reading a CSV file.mp4 20.8 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/2. Visualize the A algorithm.mp4 20.5 MB
3. Python Data Structures and Algorithms/1 - Pathfinding Algorithms in a Maze Game/1. Understand the example application.mp4 17.6 MB
1. Hands-On Introduction Python onehack.us/0 - Introduction/3. Using GitHub Codespaces with this course.mp4 17.4 MB
6. Create an Open-Source Project in Python/3 - Tidy Up Your Code/1. What is PEP 8.mp4 16.9 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/8. How to perform Vader sentiment analysis.mp4 16.8 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/4. How to clean text data.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/9. Solution.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/7. Solution.mp4 16.2 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/10. How to perform topic modeling.mp4 15.8 MB
1. Hands-On Introduction Python onehack.us/4 - Extending a Service/2. Extending a small web server.mp4 15.7 MB
1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/3. Outputting JSON.mp4 15.5 MB
4. Python Automation and Testing/3 - Navigating through Pages/5. Solution.mp4 15.4 MB

[磁力链接] 添加时间:2024-05-26 大小:1.4 GB 最近下载:2025-10-29 热度:8976

LinkedIn Learning - Advance Your Skills in Python - Complete 7 Courses

3. Python Data Structures and Algorithms/2 - The Stack Data Structure/2. Build a stack class in Python.mp4 43.1 MB
3. Python Data Structures and Algorithms/4 - Depth-First Search Algorithm/4. Code a depth-first search in Python.mp4 38.2 MB
3. Python Data Structures and Algorithms/5 - The Queue Data Structure/2. Build a queue class in Python.mp4 26.4 MB
3. Python Data Structures and Algorithms/6 - The Breadth-First Search Algorithm/3. Code a breadth-first search in Python.mp4 26.1 MB
5. Python GUI Development with Tkinter/0 - Introduction/1. Create a GUI for your Python desktop application.mp4 25.6 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/3. Code the A algorithm in Python.mp4 25.2 MB
3. Python Data Structures and Algorithms/7 - The Priority Queue Data Structure/2. Use the heap module to implement a priority queue.mp4 22.3 MB
1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/1. Reading a CSV file.mp4 20.8 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/2. Visualize the A algorithm.mp4 20.5 MB
3. Python Data Structures and Algorithms/1 - Pathfinding Algorithms in a Maze Game/1. Understand the example application.mp4 17.6 MB
1. Hands-On Introduction Python onehack.us/0 - Introduction/3. Using GitHub Codespaces with this course.mp4 17.4 MB
6. Create an Open-Source Project in Python/3 - Tidy Up Your Code/1. What is PEP 8.mp4 16.9 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/8. How to perform Vader sentiment analysis.mp4 16.8 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/4. How to clean text data.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/9. Solution.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/7. Solution.mp4 16.2 MB
7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/10. How to perform topic modeling.mp4 15.8 MB
1. Hands-On Introduction Python onehack.us/4 - Extending a Service/2. Extending a small web server.mp4 15.7 MB
1. Hands-On Introduction Python onehack.us/3 - Let's Build Something!/3. Outputting JSON.mp4 15.5 MB
4. Python Automation and Testing/3 - Navigating through Pages/5. Solution.mp4 15.4 MB

[磁力链接] 添加时间:2024-08-19 大小:1.4 GB 最近下载:2025-09-25 热度:940

[ FreeCourseWeb.com ] The Hello World of Machine Learning in Python.zip

[ FreeCourseWeb.com ] The Hello World of Machine Learning in Python.zip 1.4 GB

[磁力链接] 添加时间:2021-03-18 大小:1.4 GB 最近下载:2025-06-17 热度:377

[GigaCourse.com] Udemy - Deep Learning Prerequisites Logistic Regression in Python

7. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
2. Basics What is linear classification What's the relation to neural networks/3. How do we calculate the output of a neuron logistic classifier - Theory.srt 84.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.srt 82.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Practical concerns/11. Practical Section Summary.srt 82.1 MB
1. Start Here/1. Introduction and Outline.mp4 49.2 MB
7. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
7. Appendix FAQ/14. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/13. What order should I take your courses in (part 2).mp4 39.4 MB
7. Appendix FAQ/12. What order should I take your courses in (part 1).mp4 30.7 MB
2. Basics What is linear classification What's the relation to neural networks/5. Interpretation of Logistic Regression Output.mp4 29.2 MB
3. Solving for the optimal weights/7. Maximizing the likelihood.mp4 26.4 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
7. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
7. Appendix FAQ/2. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
3. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB

[磁力链接] 添加时间:2021-04-16 大小:1.3 GB 最近下载:2025-10-29 热度:736

Udemy - Deep Learning Prerequisites Logistic Regression in Python (3.2020)

7. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
2. Basics What is linear classification What's the relation to neural networks/3. How do we calculate the output of a neuron logistic classifier - Theory.srt 84.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.srt 82.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Practical concerns/11. Practical Section Summary.srt 82.1 MB
1. Start Here/1. Introduction and Outline.mp4 49.2 MB
7. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
7. Appendix FAQ/14. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/13. What order should I take your courses in (part 2).mp4 39.4 MB
7. Appendix FAQ/12. What order should I take your courses in (part 1).mp4 30.7 MB
2. Basics What is linear classification What's the relation to neural networks/5. Interpretation of Logistic Regression Output.mp4 29.2 MB
3. Solving for the optimal weights/7. Maximizing the likelihood.mp4 26.4 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
7. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
7. Appendix FAQ/2. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
3. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB

[磁力链接] 添加时间:2025-08-12 大小:1.3 GB 最近下载:2025-10-27 热度:196

[freecourse.pro]-Machine Learning A-Z AI, Python & R + ChatGPT.zip

[freecourse.pro]-Machine Learning A-Z AI, Python & R + ChatGPT.zip 1.3 GB

[磁力链接] 添加时间:2024-07-01 大小:1.3 GB 最近下载:2025-05-17 热度:774

[ FreeCourseWeb.com ] Udemy - Learning Path- Python-Data Visualization with Matplotlib 2.x.zip

[ FreeCourseWeb.com ] Udemy - Learning Path- Python-Data Visualization with Matplotlib 2.x.zip 1.3 GB

[磁力链接] 添加时间:2021-03-17 大小:1.3 GB 最近下载:2025-10-22 热度:789

[DesireCourse.Com] Udemy - Zero to Deep Learning™ with Python and Keras

[DesireCourse.Com] Udemy - Zero to Deep Learning™ with Python and Keras.zip 1.3 GB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

[磁力链接] 添加时间:2018-12-04 大小:1.3 GB 最近下载:2025-10-29 热度:2424

[ DevCourseWeb.com ] Udemy - Learning Python Flask and SQL Alchemy ORM

~Get Your Files Here !/04 - Database Operations/004 Updating Database Data.mp4 142.0 MB
~Get Your Files Here !/04 - Database Operations/002 Models and DB Operations.mp4 124.6 MB
~Get Your Files Here !/05 - Implementing the Core Functions of the Web Application/004 Displaying All the History Records.mp4 111.6 MB
~Get Your Files Here !/05 - Implementing the Core Functions of the Web Application/002 The Random Function.mp4 103.6 MB
~Get Your Files Here !/05 - Implementing the Core Functions of the Web Application/003 Creating the Histories Model.mp4 92.9 MB
~Get Your Files Here !/05 - Implementing the Core Functions of the Web Application/001 Jinja 2 Filter.mp4 89.1 MB
~Get Your Files Here !/04 - Database Operations/001 SQLite DB & SQLAlchemy.mp4 78.0 MB
~Get Your Files Here !/04 - Database Operations/003 Reading Database Data.mp4 76.3 MB
~Get Your Files Here !/05 - Implementing the Core Functions of the Web Application/005 Sorting the Top 5 Most Visited Restaurants.mp4 72.5 MB
~Get Your Files Here !/03 - Creating the Frontend/001 Jinja2 Template.mp4 70.1 MB
~Get Your Files Here !/06 - Final Touch Up/002 Showing the Current Page in Navigation Bar.mp4 69.9 MB
~Get Your Files Here !/03 - Creating the Frontend/002 Create a New Restaurant.mp4 54.7 MB
~Get Your Files Here !/03 - Creating the Frontend/003 Getting Data from Input Form.mp4 45.1 MB
~Get Your Files Here !/04 - Database Operations/005 Deleting Database Data.mp4 37.3 MB
~Get Your Files Here !/02 - Environment Setup/002 PyCharm Setup.mp4 36.6 MB
~Get Your Files Here !/01 - Learning Resources/001 Getting the tools and additional learning resources needed.mp4 32.9 MB
~Get Your Files Here !/02 - Environment Setup/003 Installing Flask.mp4 31.4 MB
~Get Your Files Here !/06 - Final Touch Up/001 Auto Delete the Obsolete History Records.mp4 30.8 MB
~Get Your Files Here !/07 - Download the Source Code Here/001 Where to download source code through git repository.mp4 17.2 MB
~Get Your Files Here !/02 - Environment Setup/001 Python Installation.mp4 7.9 MB

[磁力链接] 添加时间:2022-01-10 大小:1.3 GB 最近下载:2025-10-22 热度:1128

[ FreeCourseWeb.com ] Udemy - Deep Learning- Recurrent Neural Networks in Python (Updated 8-2019).zip

[ FreeCourseWeb.com ] Udemy - Deep Learning- Recurrent Neural Networks in Python (Updated 8-2019).zip 1.3 GB

[磁力链接] 添加时间:2021-05-04 大小:1.3 GB 最近下载:2025-10-29 热度:3213

[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
4. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Return of the Multi-Armed Bandit/7. Bayesian Thompson Sampling.mp4 54.4 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
1. Introduction and Outline/2. What is Reinforcement Learning.mp4 23.0 MB
4. Markov Decision Proccesses/5. Value Function Introduction.mp4 20.7 MB
9. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
9. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
8. Approximation Methods/9. Course Summary and Next Steps.mp4 13.9 MB
3. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4 13.3 MB
5. Dynamic Programming/3. Iterative Policy Evaluation in Code.mp4 12.7 MB
5. Dynamic Programming/2. Gridworld in Code.mp4 12.0 MB
8. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4 11.1 MB
2. Return of the Multi-Armed Bandit/8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB

[磁力链接] 添加时间:2021-03-16 大小:1.3 GB 最近下载:2025-10-28 热度:3172

Machine Learning with Python - Data Science for Beginners

02 Introduction to Data Scientists Toolbox/022 Data Visualization.mp4 63.6 MB
01 Introduction/002 Overview of Contents.mp4 3.4 MB
01 Introduction/003 The Bigger Picture.mp4 12.0 MB
01 Introduction/004 The Problem Landscape.mp4 22.6 MB
01 Introduction/005 Defining Data Science.mp4 12.8 MB
01 Introduction/006 Demystifying AI-ML-Data Science.mp4 8.1 MB
01 Introduction/007 Exploring the Data Scientists Toolbox.mp4 19.7 MB
01 Introduction/attached files/001 Module-1.pptx 1.0 MB
02 Introduction to Data Scientists Toolbox/008 Download PPT and Code.html 890 Bytes
02 Introduction to Data Scientists Toolbox/009 Overview of Contents.mp4 3.4 MB
02 Introduction to Data Scientists Toolbox/010 Quick recap of Python.mp4 9.0 MB
02 Introduction to Data Scientists Toolbox/011 Python 2.7 vs Python 3.5.mp4 8.3 MB
02 Introduction to Data Scientists Toolbox/012 Installation Setup.mp4 21.4 MB
02 Introduction to Data Scientists Toolbox/013 Datatypes Overview.mp4 10.3 MB
02 Introduction to Data Scientists Toolbox/014 Spyder tour.mp4 6.2 MB
02 Introduction to Data Scientists Toolbox/015 Datatypes demo.mp4 43.7 MB
02 Introduction to Data Scientists Toolbox/016 Datatypes- Numpy.mp4 20.2 MB
02 Introduction to Data Scientists Toolbox/017 Datatypes-Pandas.mp4 19.2 MB
02 Introduction to Data Scientists Toolbox/018 Data Engineering.mp4 52.2 MB
02 Introduction to Data Scientists Toolbox/019 Data Engineering 2.mp4 13.5 MB

[磁力链接] 添加时间:2018-07-28 大小:1.3 GB 最近下载:2025-10-26 热度:4368

tutsgalaxy.-com-udemy-deep-learning-prerequisites-linear-regression-in-python

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. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 62.3 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).srt 49.7 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
4. Practical machine learning issues/3. Generalization error, train and test sets.srt 40.9 MB
6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).srt 30.8 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
6. Appendix FAQ/6. How to Code by Yourself (part 2).srt 20.5 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB

[磁力链接] 添加时间:2023-12-17 大小:1.3 GB 最近下载:2025-09-04 热度:204

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

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. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 62.3 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).srt 49.7 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
4. Practical machine learning issues/3. Generalization error, train and test sets.srt 40.9 MB
6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).srt 30.8 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
6. Appendix FAQ/6. How to Code by Yourself (part 2).srt 20.5 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB

[磁力链接] 添加时间:2023-12-21 大小:1.3 GB 最近下载:2025-02-06 热度:139

Cluster Analysis and Unsupervised Machine Learning in Python

Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.mp4 65.8 MB
Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.mp4 52.8 MB
Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.mp4 47.8 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 43.6 MB
Chapter 5 Hierarchical Clustering/004. Application Evolution.mp4 39.5 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.mp4 37.2 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.mp4 31.9 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.mp4 30.6 MB
Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.mp4 30.4 MB
Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.mp4 29.9 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).mp4 29.5 MB
Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.mp4 25.9 MB
Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).mp4 24.5 MB
Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).mp4 23.2 MB

[磁力链接] 添加时间:2024-07-27 大小:1.3 GB 最近下载:2025-10-27 热度:4387

[DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing

7. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
7. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
7. Appendix FAQ/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
7. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.8 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB
6. Practice Makes Perfect/2. Intro to Exercises on Conjugate Priors.mp4 28.9 MB
7. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Bayesian AB Testing/7. Bayesian AB Testing in Code.mp4 20.4 MB
3. Bayes Rule and Probability Review/9. Suggestion Box.mp4 16.9 MB
3. Bayes Rule and Probability Review/7. Confidence Intervals.mp4 16.1 MB

[磁力链接] 添加时间:2021-03-07 大小:1.2 GB 最近下载:2025-06-04 热度:99

[GigaCourse.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

[磁力链接] 添加时间:2022-02-09 大小:1.2 GB 最近下载:2025-09-09 热度:232

[FreeCourseSite.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

[磁力链接] 添加时间:2021-04-02 大小:1.2 GB 最近下载:2025-10-28 热度:1743