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【影视】 [ DevCourseWeb.com ] Udemy - Machine Learning - Data Science Product Management Made Easy

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~Get Your Files Here !/06 - Deep Learning Intro/002 Deep Learning Coding Notebook - Case Study in Predicting Dog and Cat Images!.mp4 228.0 MB
~Get Your Files Here !/04 - Algorithms Overview and Linear Regression Deep Dive/004 Linear Regression Coding Notebook - Case Study in Predicting Housing Prices.mp4 191.3 MB
~Get Your Files Here !/05 - Success Metrics/001 Classification success metrics.mp4 137.3 MB
~Get Your Files Here !/08 - Key Questions to Ask and Roadmap Template for your ML Product/002 Key questions to ask your team.mp4 97.9 MB
~Get Your Files Here !/03 - Data Science Loop/003 Data Science Loop Specifically.mp4 68.9 MB
~Get Your Files Here !/01 - Introduction/003 Main Takeway Preview!.mp4 57.1 MB
~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/005 Demographic and Psychographic Factors to Consider.mp4 54.6 MB
~Get Your Files Here !/03 - Data Science Loop/005 Comparing ML and Data Analysis.mp4 45.5 MB
~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/001 UX Issues in ML.mp4 45.4 MB
~Get Your Files Here !/04 - Algorithms Overview and Linear Regression Deep Dive/002 Linear Regression Overview.mp4 45.3 MB
~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/006 A Research roadmap for you ML Product.mp4 43.5 MB
~Get Your Files Here !/02 - Machine Learning Basics/008 Overfitting and Underfitting.mp4 41.7 MB
~Get Your Files Here !/02 - Machine Learning Basics/001 Major ML Use Cases.mp4 39.9 MB
~Get Your Files Here !/03 - Data Science Loop/006 Limitations of ML.mp4 38.4 MB
~Get Your Files Here !/05 - Success Metrics/002 General success metrics.mp4 35.0 MB
~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/003 Testing mockups of your ML product.mp4 33.3 MB
~Get Your Files Here !/07 - User Experience and Research Considerations for ML Products!/004 Testing concept diagrams of your ML Product.mp4 30.6 MB
~Get Your Files Here !/02 - Machine Learning Basics/005 Unsupervised Learning.mp4 29.3 MB
~Get Your Files Here !/01 - Introduction/002 When ML is not the best approach!.mp4 25.3 MB
~Get Your Files Here !/08 - Key Questions to Ask and Roadmap Template for your ML Product/003 Checklist of Key Sections for you ML Product Roadmap.mp4 24.1 MB

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[2021-11-30] 【MEMBERS ONLY】【NIJISANJI EN - Rosemi Lovelock】【GUERILLA BEDTIME STREAM】LEARNING THE PIANO - LQsI7YE5K64.mp4 1.5 GB
[2021-11-30] 【MEMBERS ONLY】【NIJISANJI EN - Rosemi Lovelock】【GUERILLA BEDTIME STREAM】LEARNING THE PIANO - LQsI7YE5K64.live_chat.json 9.5 MB
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[2021-11-30] 【MEMBERS ONLY】【NIJISANJI EN - Rosemi Lovelock】【GUERILLA BEDTIME STREAM】LEARNING THE PIANO - LQsI7YE5K64.description 471 Bytes

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【压缩文件】 Learning Windows Server 2016 with Hands-On Experience

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【影视】 [FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python

收录时间:2021-03-10 文档个数:297 文档大小:1.5 GB 最近下载:2025-05-14 人气:523 磁力链接

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

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【影视】 [DesireCourse.Net] Udemy - Master Deep Learning with TensorFlow in Python

收录时间:2022-02-07 文档个数:296 文档大小:1.5 GB 最近下载:2025-05-10 人气:656 磁力链接

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

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【压缩文件】 InfiniteSkills.Learning.Adobe.Dreamweaver.CS5.Training.Video

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InfiniteSkills.Learning.Adobe.Dreamweaver.CS5.Training.Video.part4.rar 47.4 MB
InfiniteSkills.Learning.Adobe.Dreamweaver.CS5.Training.Video.part3.rar 500.0 MB
InfiniteSkills.Learning.Adobe.Dreamweaver.CS5.Training.Video.part2.rar 500.0 MB
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teenslovehugecocks.20.07.12.kendra.heart.learning.curve.mp4 1.5 GB
teenslovehugecocks.20.07.12.kendra.heart.learning.curve.nfo 5.2 kB
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Joy.Of.Learning.1969.FRENCH.1080p.BluRay.x265-VXT.mp4 1.5 GB
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【影视】 [FreeCourseLab.com] Udemy - Data Science Deep Learning in Python

收录时间:2022-03-18 文档个数:165 文档大小:1.5 GB 最近下载:2025-02-23 人气:174 磁力链接

10. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/2. Where does this course fit into your deep learning studies.mp4 56.7 MB
5. Training a neural network/8. Backpropagation in code.mp4 48.6 MB
10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.mp4 45.4 MB
10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. Review/4. Neuron Training.mp4 40.4 MB
10. Appendix/15. What order should I take your courses in (part 2).mp4 39.4 MB
5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp4 39.1 MB
4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).mp4 31.8 MB
10. Appendix/14. What order should I take your courses in (part 1).mp4 30.8 MB
2. Review/2. What does machine learning do.mp4 26.9 MB
6. Practical Machine Learning/4. Neural Networks for Regression.mp4 26.6 MB
8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).mp4 26.4 MB
10. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. Review/3. Neuron Predictions.mp4 25.6 MB
8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).mp4 24.6 MB
1. Welcome/3. Where to get the code.mp4 24.5 MB
9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.mp4 23.9 MB

猜你喜欢： Python com Deep Udemy Learning Science FreeCourseLab Data

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【压缩文件】 InfiniteSkills - Learning Autodesk Inventor 2015

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01. Autodesk Inventor 2015/01_01-Introduction To Autodesk Inventor 2015.mp4 2.2 MB
01. Autodesk Inventor 2015/01_02-About The Author.mp4 1.3 MB
01. Autodesk Inventor 2015/01_03-Getting Started.mp4 14.7 MB
01. Autodesk Inventor 2015/01_04-Feature Based Modelling.mp4 24.3 MB
01. Autodesk Inventor 2015/01_05-Parametric Features.mp4 12.1 MB
01. Autodesk Inventor 2015/01_06-Associative Files.mp4 11.6 MB
01. Autodesk Inventor 2015/01_07-Assembly Management.mp4 13.3 MB
01. Autodesk Inventor 2015/01_08-Model Documentation.mp4 10.0 MB
01. Autodesk Inventor 2015/01_09-User Interface.mp4 20.8 MB
01. Autodesk Inventor 2015/01_10-Model Manipulation.mp4 17.4 MB
01. Autodesk Inventor 2015/01_11-Inventor Project Files.mp4 9.4 MB
01. Autodesk Inventor 2015/01_12-Mouse And Selection Interaction.mp4 6.9 MB
01. Autodesk Inventor 2015/01_13-How To Access Your Working Files.mp4 13.8 MB
02. Basic Sketching/0201.mp4 8.7 MB
02. Basic Sketching/0202.mp4 15.9 MB
02. Basic Sketching/0203.mp4 10.5 MB
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【压缩文件】 [ DevCourseWeb.com ] Udemy - Machine Learning 2021 - Practical Regression Analysis in R.zip

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【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python

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8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
8. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.6 MB
8. Appendix FAQ/14. What order should I take your courses in (part 2).mp4 39.4 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
8. Appendix FAQ/13. What order should I take your courses in (part 1).mp4 30.8 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.7 MB
8. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB

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