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【压缩文件】 [ FreeCourseWeb.com ] Lynda - 20 Questions to Improve Learning at Your Organization.zip

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【影视】 [ FreeCourseWeb.com ] PluralSight - Build Machine Learning Models with Azure Machine Learning Designer

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【文档书籍】 [ TutSala.com ] Udemy - Learning Cfd With Ansys Fluent (Workbench)

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【压缩文件】 [CourseClub.Me] Pluralsight - Building Machine Learning Solutions With Java - Learning Paths

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2. Exploring Java Machine Learning Environments/exercise.zip 86.3 MB
1. Preparing Data for Machine Learning with Java/5. Data Transformation/4. Demo - Data Transformation Pipeline.mp4 36.0 MB
1. Preparing Data for Machine Learning with Java/6. Data Preparation at Scale/5. Demo - Developing Beam SDK Pipelines.mp4 35.9 MB
2. Exploring Java Machine Learning Environments/4. Implementing a Machine Learning Workflow with DL4J/4. Demo - Data Preprocessing with DL4J.mp4 33.5 MB
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3. Implementing Machine Learning Workflow with Weka/4. Implementing Clustering Models/3. Demo - Visualizing Cluster Assignments.mp4 26.0 MB
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【压缩文件】 [ FreeCourseWeb.com ] Artificial Neural Networks and Machine Learning - ICANN 2019- Workshop and Special Sessions.zip

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【影视】 [FreeCourseSite.com] Udemy - Data Science Supervised Machine Learning in Python

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9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
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3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
9. Appendix/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.0 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
2. K-Nearest Neighbor/7. Effect of K.mp4 37.5 MB
4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
9. Appendix/11. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
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6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
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【影视】 [FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

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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
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Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/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
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
Complete 2020 Data Science & Machine Learning Bootcamp/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
Complete 2020 Data Science & Machine Learning Bootcamp/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
Complete 2020 Data Science & Machine Learning Bootcamp/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
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Complete 2020 Data Science & Machine Learning Bootcamp/5. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
Complete 2020 Data Science & Machine Learning Bootcamp/3. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
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