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【影视】 Learning Functional Programming with ES6+

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05 - Code Conversion Challenges/5026559_05_04_XR30_SO30_solution2.mp4 15.5 MB
03 - JS The functional Parts/5026559_03_09_XR30_chaining.mp4 14.0 MB
03 - JS The functional Parts/5026559_03_04_XR30_filter.mp4 13.0 MB
05 - Code Conversion Challenges/5026559_05_06_XR30_SO30_solution3.mp4 12.6 MB
03 - JS The functional Parts/5026559_03_08_XR30_reduce.mp4 11.0 MB
04 - Advanced Functional Concepts/5026559_04_04_XR30_objects.mp4 10.9 MB
03 - JS The functional Parts/5026559_03_05_XR30_everysome.mp4 10.5 MB
04 - Advanced Functional Concepts/5026559_04_02_XR30_partial.mp4 10.2 MB
05 - Code Conversion Challenges/5026559_05_02_XR30_SO30_solution.mp4 9.4 MB
02 - First-Class functions/5026559_02_01_XR15_arrows.mp4 9.3 MB
03 - JS The functional Parts/5026559_03_03_XR30_map.mp4 9.3 MB
02 - First-Class functions/5026559_02_05_XR30_returning.mp4 9.1 MB
03 - JS The functional Parts/5026559_03_07_XR30_sort.mp4 9.0 MB
03 - JS The functional Parts/5026559_03_02_XR15_spread.mp4 8.8 MB
02 - First-Class functions/5026559_02_08_XR15_higher.mp4 8.5 MB
02 - First-Class functions/5026559_02_07_XR15_closure_Pt2.mp4 8.2 MB
02 - First-Class functions/5026559_02_02_XR15_funcdata.mp4 7.0 MB
02 - First-Class functions/5026559_02_03_XR15_funcdata2.mp4 6.8 MB
01 - Introductory Functional Concepts/5026559_01_03_XR30_immutability.mp4 6.5 MB
01 - Introductory Functional Concepts/5026559_01_01_XR30_goal.mp4 6.5 MB

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【影视】 [FreeTutorials.Eu] Udemy - Deep Learning Advanced NLP and RNNs

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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 202.6 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 174.5 MB
2. Review/6. CNN Code (part 1).mp4 155.8 MB
8. Appendix/10. What order should I take your courses in (part 2).mp4 128.6 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 121.5 MB
5. Attention/5. Attention Code 1.mp4 104.8 MB
8. Appendix/9. What order should I take your courses in (part 1).mp4 92.3 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4 88.4 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4 86.6 MB
8. Appendix/6. How to Code by Yourself (part 1).mp4 86.1 MB
6. Memory Networks/3. Memory Networks Code 1.mp4 83.5 MB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Attention/8. Building a Chatbot without any more Code.mp4 79.9 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4 69.8 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.3 MB
2. Review/4. What is a CNN.mp4 65.0 MB
5. Attention/2. Attention Theory.mp4 64.8 MB
2. Review/7. CNN Code (part 2).mp4 62.2 MB
2. Review/2. What is a word embedding.mp4 60.3 MB
2. Review/10. Different Types of RNN Tasks.mp4 59.5 MB

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【影视】 [FreeCourseLab.com] Udemy - Learning Dynamic Website Design - PHP MySQL and JavaScript

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6. Functions, Arrays, And Strings/18. Assignment 4 - Solution.mp4 23.9 MB
10. PHP With CSS, JavaScript And Ajax/12. Assignment 8 - Solution - Part 2.mp4 22.5 MB
4. PHP Programming Fundamentals/17. Assignment 2 - Solution.mp4 20.6 MB
5. Advanced PHP Constructs/5. Displaying A Data From A File Into An HTML Table.mp4 20.2 MB
5. Advanced PHP Constructs/8. Assignment 3 - Solution.mp4 19.6 MB
8. PHP With MySQL/15. Assignment 6 - Solution - Part 2.mp4 19.2 MB
8. PHP With MySQL/14. Assignment 6 - Solution - Part 1.mp4 19.2 MB
8. PHP With MySQL/1. 0801 Connecting To MySQL Within A PHP Program.mp4 18.2 MB
8. PHP With MySQL/3. 0803 Adding Rows To A Table.mp4 17.2 MB
2. Interface/5. Using A Hosting Service.mp4 17.1 MB
8. PHP With MySQL/12. 0812 Debugging Techniques - Part 6.mp4 16.9 MB
10. PHP With CSS, JavaScript And Ajax/11. Assignment 8 - Solution - Part 1.mp4 16.0 MB
8. PHP With MySQL/11. 0811 Common Database Functions.mp4 15.7 MB
10. PHP With CSS, JavaScript And Ajax/5. Using Simple AJAX.mp4 15.1 MB
10. PHP With CSS, JavaScript And Ajax/1. Basic JavaScript Syntax.mp4 14.8 MB
6. Functions, Arrays, And Strings/16. Debugging Techniques - Part 4.mp4 14.7 MB
4. PHP Programming Fundamentals/15. Debugging Techniques - Part 2.mp4 14.7 MB
6. Functions, Arrays, And Strings/12. Recursive Programming.mp4 14.5 MB
10. PHP With CSS, JavaScript And Ajax/9. Debugging Techniques - Part 8.mp4 14.5 MB
4. PHP Programming Fundamentals/8. Comparison Operators.mp4 14.5 MB

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【影视】 [FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. 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/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB

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【影视】 [FTUForum.com] [UDEMY] Machine Learning Basics Building Regression Model in Python [FTU]

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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 264.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
1. Introduction/2. Course contents.mp4 67.0 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB

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【影视】 Higher Learning (1995) [BluRay] [720p] [YTS.AM]

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Higher.Learning.1995.720p.BluRay.x264-[YTS.AM].mp4 1.1 GB
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【影视】 Artificial Intelligence - Full course with Deep learning

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Artificial Intelligence - Full course with Deep learning/1. Full course in single section/24. Deep Learning Using TensorFlow Deep Learning.mp4 678.7 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/18. Deep Learning Tutorial.mp4 601.6 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/20. TensorFlow Tutorial Deep Learning.mp4 412.2 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/25. TensorFlow Explained Deep Learning Using TensorFlow.mp4 352.6 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/28. TensorFlow Object Detection Realtime Object Detection with TensorFlow.mp4 315.4 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/21. Artificial Neural Network Tutorial Deep Learning With Neural Networks.mp4 291.7 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/26. Keras Tutorial For Beginners Creating Deep Learning Models.mp4 261.9 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/22. Recurrent Neural Networks (RNN) RNN LSTM Deep Learning.mp4 234.5 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/10. Artificial Intelligence Tutorial for Beginners.mp4 233.5 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/9. Top 10 Applications Of Artificial Intelligence.mp4 205.7 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/16. What is Deep Learning Deep Learning.mp4 202.7 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/8. What is Artificial Intelligence Artificial Intelligence.mp4 189.3 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/15. Top 10 Benefits Of Artificial Intelligence.mp4 181.3 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/6. Introduction to Artificial Intelligence Deep Learning Edureka.mp4 179.2 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/23. Convolutional Neural Network (CNN) Convolutional Neural Networks.mp4 177.1 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/14. What is Machine Learning.mp4 175.8 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/13. What Is Artificial Intelligence.mp4 153.3 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/11. Q Learning Explained Reinforcement.mp4 149.5 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/4. Artificial Intelligence.mp4 149.4 MB
Artificial Intelligence - Full course with Deep learning/1. Full course in single section/17. AI vs Machine Learning vs Deep Learning Machine Learning.mp4 147.8 MB

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【影视】 Nikki Hill - Learning A Valuable Lesson 16.12.19.mp4

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Nikki Hill - Learning A Valuable Lesson 16.12.19.mp4 1.9 GB

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【影视】 Lynda - Get Ahead in DevSecOps Learning-path [AhLaN]

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Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/05 - Can security use chaos engineering.mp4 35.5 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/10 - Why is security so hard.mp4 34.5 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/13 - What is the MEASURE of DevSecOps.mp4 34.4 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/11 - Can I fix the perception of security.mp4 34.2 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/08 - Where do I start with DevSecOps.mp4 32.8 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/09 - How does security win.mp4 32.4 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/06 - Are auditors scared of DevSecOps.mp4 32.3 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/07 - How do I build my DevSecOps career.mp4 32.2 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/02 - Does security need to write code.mp4 31.4 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/03 - What is the future of DevSecOps.mp4 30.4 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/04 - Is security irrelevant with serverless.mp4 29.6 MB
Lynda - DevSecOps - Automated Security Testing/3 - 2. Security Automation - Getting Started/09 - Application security attack tools.mp4 26.4 MB
Lynda - DevSecOps - Burning Questions/2 - 1. DevSecOps Questions/12 - Are honeypots dead or are they awesome.mp4 25.8 MB
Lynda - DevSecOps - Burning Questions/1 - Introduction/01 - Dive into DevSecOps.mp4 20.5 MB
Lynda - DevOps Foundations - DevSecOps/3 - 2. Getting Started with DevSecOps/09 - Finding the right toolset.mp4 18.2 MB
Lynda - DevSecOps - Automated Security Testing/4 - 3. Application Security Automation/14 - XSS attack automation refactoring.mp4 18.1 MB
Lynda - DevSecOps - Automated Security Testing/4 - 3. Application Security Automation/13 - XSS attack automation.mp4 16.8 MB
Lynda - DevSecOps - Automated Security Testing/5 - 4. Security Testing in Software Delivery Pipelines/20 - Security testing in CI_CD.mp4 15.8 MB
Lynda - DevOps Foundations - DevSecOps/3 - 2. Getting Started with DevSecOps/12 - Leverage your existing process.mp4 15.4 MB
Lynda - DevSecOps - Continuous Application Security/3 - 2. Continous Application Security/06 - Continuous static testing.mp4 12.4 MB

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【影视】 [FTUForum.com] [UDEMY] Machine Learning Basics Building a Regression model in R [FTU]

收录时间:2021-03-15 文档个数:163 文档大小:3.1 GB 最近下载:2025-05-14 人气:1016 磁力链接

6. Linear Regression Model/20. Ridge regression and Lasso in R.mp4 189.9 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4 123.3 MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 119.3 MB
5. Data Preprocessing/7. EDD in R.mp4 117.7 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 109.5 MB
3. Getting started with R and R studio/3. Packages in R.mp4 103.5 MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4 99.7 MB
6. Linear Regression Model/14. Test-Train Split in R.mp4 95.5 MB
6. Linear Regression Model/16. Subset Selection techniques.mp4 91.3 MB
2. Basics of Statistics/3. Describing the data graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 85.2 MB
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 82.4 MB
6. Linear Regression Model/17. Subset selection in R.mp4 80.3 MB
6. Linear Regression Model/10. Multiple Linear Regression in R.mp4 76.7 MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 72.5 MB
5. Data Preprocessing/17. Variable transformation in R.mp4 71.2 MB
6. Linear Regression Model/8. The F - statistic.mp4 67.3 MB
1. Introduction/2. Course contents.mp4 66.6 MB
6. Linear Regression Model/19. Shrinkage methods - Ridge Regression and The Lasso.mp4 55.5 MB

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【影视】 [DesireCourse.Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

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6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
6. Appendix/13. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.5 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
4. Random Forest/1. Random Forest Algorithm.mp4 15.1 MB
2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4 14.5 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 13.6 MB
6. Appendix/2. Confidence Intervals.mp4 13.2 MB
4. Random Forest/3. Random Forest Classifier.mp4 13.2 MB
5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.mp4 11.7 MB

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【影视】 [GigaCourse.com] Udemy - The Machine Learning Course 2020

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3. Machine Learning Tutorial - Lecture Three.mp4 74.1 MB
4. Machine Learning Tutorial - Lecture Four.mp4 63.3 MB
1. Machine Learning Tutorial - Lecture One.mp4 62.1 MB
5. Machine Learning Tutorial - Lecture Five.mp4 59.3 MB
2. Machine Learning Tutorial - Lecture Two.mp4 53.9 MB
5. Machine Learning Tutorial - Lecture Five.srt 7.2 kB
3. Machine Learning Tutorial - Lecture Three.srt 7.1 kB
1. Machine Learning Tutorial - Lecture One.srt 6.9 kB
4. Machine Learning Tutorial - Lecture Four.srt 6.2 kB
2. Machine Learning Tutorial - Lecture Two.srt 6.0 kB
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【影视】 VideoHive - Online Classes and Learning 30623170

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【影视】 [FreeCourseLab.com] Udemy - Node.Js Learning Koa.Js By Building REST APIs

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6. Adding Documentation In Koa/2. Adding Documentation for Signup.mp4 35.7 MB
5. Authentication In Koa/5. Adding Policy to Routes.mp4 27.2 MB
5. Authentication In Koa/2. Signup New User.mp4 26.5 MB
4. Adding Relationship Between Models/7. Debugging Model.create method.mp4 21.1 MB
4. Adding Relationship Between Models/5. Creating New Application.mp4 19.8 MB
5. Authentication In Koa/3. Encrypt the User Password.mp4 18.4 MB
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