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【压缩文件】 Machine Learning In The Cloud With Azure Machine Learning.rar

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Machine Learning In The Cloud With Azure Machine Learning.rar 555.6 MB

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【影视】 Machine Learning Real World projects in Python

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[TutsNode.com] - Machine Learning Real World projects in Python/3. Project 3-- Predict Prices of Airline Tickets/15. How to Cross Validate your model.mp4 129.5 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/7. Select Important features using Machine learning.mp4 125.1 MB
[TutsNode.com] - Machine Learning Real World projects in Python/3. Project 3-- Predict Prices of Airline Tickets/7. How to Perform Label Encoding on dataset.mp4 113.9 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/4. Analysing Home country of guests.mp4 111.0 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/5. Analysing Prices of Hotels across year.mp4 106.3 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/9. How to handle Categorical data.mp4 95.9 MB
[TutsNode.com] - Machine Learning Real World projects in Python/3. Project 3-- Predict Prices of Airline Tickets/6. Handle Categorical Data & Feature Encoding.mp4 89.6 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/11. Applying Techniques of Feature Importance.mp4 89.6 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/29. Applying Multiple algorithms on data.mp4 89.2 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/16. Applying logistic regression on data & cross-validate it.mp4 86.1 MB
[TutsNode.com] - Machine Learning Real World projects in Python/3. Project 3-- Predict Prices of Airline Tickets/13. Intuition Behind Linear Regression- Part 3.mp4 85.8 MB
[TutsNode.com] - Machine Learning Real World projects in Python/3. Project 3-- Predict Prices of Airline Tickets/4. How to extract Derived features from data.mp4 84.4 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/23. Intuition Behind Random Forest Part-1.mp4 81.5 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/3. Prepare your data for Analysis & Modelling.mp4 78.9 MB
[TutsNode.com] - Machine Learning Real World projects in Python/3. Project 3-- Predict Prices of Airline Tickets/10. Apply Random Forest on Data & Automate your predictions.mp4 78.6 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/20. Intuition Behind Decision Tree- Part 4.mp4 77.1 MB
[TutsNode.com] - Machine Learning Real World projects in Python/3. Project 3-- Predict Prices of Airline Tickets/3. Understand your data.mp4 73.8 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/15. Idea Behind Cross Validation- Part 2.mp4 70.6 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/8. How to extract Derived features from data.mp4 69.6 MB
[TutsNode.com] - Machine Learning Real World projects in Python/2. Project 1-- Predict status of Hotel Booking/18. Intuition Behind Decision Tree- Part 2.mp4 66.2 MB

猜你喜欢： Real Python Machine Learning World projects

【压缩文件】 [ DevCourseWeb.com ] Skillshare - Mind Mapping Course - Accelerate Learning w - Keywords.zip

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[ DevCourseWeb.com ] Skillshare - Mind Mapping Course - Accelerate Learning w - Keywords.zip 266.6 MB

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【影视】 Lynda - Learning Functional Programming with JavaScript ES6+ [AhLaN]

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6 - 5. Code Conversion Challenges/41 - Solution - Anagrams.mp4 21.2 MB
4 - 3. JavaScript - The Functional Parts/31 - Combining functions.mp4 18.8 MB
6 - 5. Code Conversion Challenges/43 - Solution - Error messages.mp4 17.3 MB
4 - 3. JavaScript - The Functional Parts/26 - Filtering.mp4 15.8 MB
3 - 2. First-Class Functions/15 - Arrow functions in ES6.mp4 15.3 MB
4 - 3. JavaScript - The Functional Parts/24 - The spread operator.mp4 14.7 MB
3 - 2. First-Class Functions/22 - Higher-order functions.mp4 13.5 MB
3 - 2. First-Class Functions/21 - Implement private variable.mp4 13.4 MB
5 - 4. Advanced Functional Concepts/37 - Functions as objects.mp4 13.0 MB
4 - 3. JavaScript - The Functional Parts/30 - Reducing.mp4 13.0 MB
4 - 3. JavaScript - The Functional Parts/27 - Every_some.mp4 12.5 MB
6 - 5. Code Conversion Challenges/39 - Solution - Convert array.mp4 12.5 MB
5 - 4. Advanced Functional Concepts/35 - Currying and partial application.mp4 12.3 MB
3 - 2. First-Class Functions/16 - Functions as data.mp4 11.6 MB
3 - 2. First-Class Functions/17 - Functions as data, continued.mp4 11.2 MB
4 - 3. JavaScript - The Functional Parts/25 - Mapping.mp4 10.9 MB
4 - 3. JavaScript - The Functional Parts/29 - Sorting.mp4 10.5 MB
3 - 2. First-Class Functions/19 - Returning functions.mp4 10.2 MB
4 - 3. JavaScript - The Functional Parts/33 - Solution - Recreate the map function.mp4 8.3 MB
3 - 2. First-Class Functions/18 - Passing functions as arguments.mp4 8.1 MB

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【影视】 [FreeTutorials.Us] Udemy - Feature Engineering for Machine Learning

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13. Assembling a feature engineering pipeline/2. Regression pipeline.mp4 165.2 MB
13. Assembling a feature engineering pipeline/1. Classification pipeline.mp4 142.6 MB
4. Missing Data Imputation/8. Random sample imputation.mp4 107.6 MB
6. Categorical Variable Encoding/3. One-hot-encoding Demo.mp4 95.8 MB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.mp4 92.4 MB
4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.mp4 84.3 MB
8. Discretisation/11. Discretisation with decision trees using Scikit-learn.mp4 84.1 MB
8. Discretisation/3. Equal-width discretisation Demo.mp4 82.9 MB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.mp4 82.3 MB
6. Categorical Variable Encoding/19. Rare label encoding Demo.mp4 72.8 MB
3. Variable Characteristics/5. Linear models assumptions.mp4 72.2 MB
6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.mp4 72.1 MB
6. Categorical Variable Encoding/7. Ordinal encoding Demo.mp4 60.3 MB
6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.mp4 60.0 MB
12. Engineering datetime variables/2. Engineering dates Demo.mp4 56.6 MB
4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.mp4 54.7 MB
4. Missing Data Imputation/3. Mean or median imputation.mp4 54.7 MB
9. Outlier Handling/2. Outlier trimming.mp4 53.6 MB
4. Missing Data Imputation/6. Frequent category imputation.mp4 52.2 MB
7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.mp4 51.8 MB

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【压缩文件】 Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB

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【影视】 MomsTeachSex - Silvia Saige (Mom Makes Learning Fun) NEW 09 November 2020

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MomsTeachSex - Silvia Saige - Mom Makes Learning Fun.mp4 332.7 MB
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【影视】 [FreeCourseWorld.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【压缩文件】 [ DevCourseWeb.com ] Machine Learning & Data Science Foundations Masterclass.zip

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[ DevCourseWeb.com ] Machine Learning & Data Science Foundations Masterclass.zip 1.1 GB

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【其他】 Linkedin.Learning.Help.Yourself.Tech.Tips.UPDATE.20210120-XQZT

收录时间:2021-03-07 文档个数:15 文档大小:584.9 MB 最近下载:2022-01-16 人气:10 磁力链接

linkedin.learning.help.yourself.tech.tips.update.20210120-xqzt.r00 50.0 MB
linkedin.learning.help.yourself.tech.tips.update.20210120-xqzt.r01 50.0 MB
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linkedin.learning.help.yourself.tech.tips.update.20210120-xqzt.r10 34.6 MB
Sample/linkedin.learning.help.yourself.tech.tips.update.20210120-xqzt-sample.mkv 229.4 kB
linkedin.learning.help.yourself.tech.tips.update.20210120-xqzt.sfv 912 Bytes
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【影视】 [Babes] Abella Danger - Hands-on Learning (01.02.2020).mp4

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[Babes] Abella Danger - Hands-on Learning (01.02.2020).mp4 275.1 MB

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【文档书籍】 Teaching English as a Second or Foreign Language, 4th Edition (National Geographic Learning)

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Teaching English as a Second or Foreign Language, 4th Edition (National Geographic Learning).pdf 183.4 MB

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【文档书籍】 Hollemans M., LaPollo C., Tam A. - Machine Learning by Tutorials (2nd Edition) - 2019

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Hollemans M., LaPollo C., Tam A. - Machine Learning by Tutorials (2nd Edition) - 2019.pdf 95.2 MB
Hollemans M., LaPollo C., Tam A. - Machine Learning by Tutorials (2nd Edition) - 2019.epub 70.4 MB

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【影视】 [06-2020] complete-machine-learning-and-data-science-zero-to-mastery

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16 Career Advice + Extra Bits/261 CWD_ Git + Github.mp4 380.9 MB
05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4 366.1 MB
09 Scikit-learn_ Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4 353.9 MB
09 Scikit-learn_ Creating Machine Learning Models/102 Optional_ Debugging Warnings In Jupyter.mp4 338.8 MB
16 Career Advice + Extra Bits/255 What If I Don't Have Enough Experience_.mp4 328.1 MB
09 Scikit-learn_ Creating Machine Learning Models/135 Tuning Hyperparameters.mp4 326.6 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/232 Training Your Deep Neural Network.mp4 313.1 MB
09 Scikit-learn_ Creating Machine Learning Models/142 Putting It All Together.mp4 298.5 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/234 Make And Transform Predictions.mp4 294.0 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/175 Turning Data Into Numbers.mp4 280.0 MB
09 Scikit-learn_ Creating Machine Learning Models/110 Choosing The Right Model For Your Data.mp4 275.4 MB
05 Data Science Environment Setup/035 Mac Environment Setup.mp4 275.4 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/185 Preproccessing Our Data.mp4 272.4 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/237 Visualizing And Evaluate Model Predictions 2.mp4 267.6 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/187 Feature Importance.mp4 267.4 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/172 Exploring Our Data.mp4 265.1 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/240 Training Model On Full Dataset.mp4 264.9 MB
11 Milestone Project 1_ Supervised Learning (Classification)/154 Finding Patterns 3.mp4 262.3 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/215 Preparing The Images.mp4 256.6 MB
09 Scikit-learn_ Creating Machine Learning Models/109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 254.4 MB

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【压缩文件】 [ CourseWikia.com ] Udemy - Onboarding Employees - Learning & Development Strategies.zip

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[ CourseWikia.com ] Udemy - Onboarding Employees - Learning & Development Strategies.zip 534.2 MB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Learning Java (2020).zip

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[ FreeCourseWeb.com ] Lynda - Learning Java (2020).zip 359.0 MB

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【影视】 [FreeCoursesOnline.Me] Udacity - Deep Reinforcement Learning Nanodegree v1.0.0

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Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4 40.4 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4 34.8 MB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4 31.8 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4 30.7 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif 29.7 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4 28.2 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 27.9 MB
Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif 27.8 MB
Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4 26.9 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB

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【影视】 [FTUForum.com] [UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]

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9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
9. Appendix/11. What order should I take your courses in (part 2).mp4 129.0 MB
9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.4 MB
2. Beginner_s Corner/3. Spam Detection with SVMs.mp4 106.4 MB
9. Appendix/10. What order should I take your courses in (part 1).mp4 92.7 MB
7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.mp4 87.7 MB
9. Appendix/6. How to Code by Yourself (part 1).mp4 86.6 MB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4 83.4 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.mp4 75.8 MB
4. Linear SVM/5. Linear and Quadratic Programming.mp4 67.3 MB
7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).mp4 61.6 MB
5. Duality/2. Duality and Lagrangians (part 1).mp4 61.5 MB
9. Appendix/7. How to Code by Yourself (part 2).mp4 59.4 MB
2. Beginner_s Corner/6. Cross-Validation.mp4 57.3 MB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4 54.5 MB
2. Beginner_s Corner/5. Regression with SVMs.mp4 53.4 MB
4. Linear SVM/4. Linear SVM Objective.mp4 51.6 MB
2. Beginner_s Corner/4. Medical Diagnosis with SVMs.mp4 50.2 MB

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【影视】 [FreeCourseSite.com] Udemy - The Ultimate Guide To Memory And Learning Skills

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2. Theoretical Framework/3. Types Of Memory.mp4 64.0 MB
2. Theoretical Framework/1. Implicit vs Explicit Memory.mp4 53.8 MB
3. Childhood/2. The Early Years.mp4 49.4 MB
3. Childhood/1. Baby Memories.mp4 49.3 MB
5. Adulthood/5. Remembering Names.mp4 38.8 MB
4. Teenagers/2. To Help Them Remember.mp4 38.0 MB
3. Childhood/3. Infantile Amnesia.mp4 37.8 MB
5. Adulthood/1. The Biology Of Memory.mp4 37.5 MB
3. Childhood/4. The Age Of Reason.mp4 33.9 MB
4. Teenagers/1. Teenagers.mp4 32.6 MB
2. Theoretical Framework/2. A 3 Step Memory.mp4 32.1 MB
5. Adulthood/6. Sing A Song.mp4 30.9 MB
3. Childhood/5. Memory Games.mp4 30.1 MB
7. Conclusion/1. Conclusion.mp4 26.1 MB
5. Adulthood/2. Memory Lifestyle.mp4 24.5 MB
6. Old age/2. What To Do.mp4 20.9 MB
6. Old age/1. The Autumn Of Memory.mp4 20.3 MB
5. Adulthood/3. 3 Memory Laws.mp4 14.9 MB
1. Introduction/1. Introduction.mp4 14.1 MB
5. Adulthood/7. Remembering Numbers.mp4 14.0 MB

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girlsgonepink.19.05.04.molly.stewart.and.scarlett.mae.learning.to.get.along.mp4 3.0 GB
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