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【影视】 FamilyHookups - Emma Hix & Julia Ann - Learning Sex From My Stepmom

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【影视】 [TutorialPace.com] Lynda - Learning C Sharp - [TP]

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4. Advanced Concepts of C Sharp/00037 - Working with enumerators.mp4 31.0 MB
2. Object-Oriented Programming in C Sharp/00024 - Introduction to object-oriented programming.mp4 26.5 MB
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4. Advanced Concepts of C Sharp/00043 - Working with interfaces.mp4 25.8 MB
1. C Sharp Basics/00019 - Functions that take in values.mp4 24.8 MB
5. C Sharp - Top New Features/00048 - Working with lambda expressions.mp4 23.7 MB
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1. C Sharp Basics/00020 - Switch statement.mp4 18.0 MB
1. C Sharp Basics/00023 - Collections.mp4 17.3 MB
2. Object-Oriented Programming in C Sharp/00028 - Working with namespaces.mp4 17.0 MB
3. Errors and Debugging/00036 - Debugging with breakpoints.mp4 16.6 MB
3. Errors and Debugging/00034 - Catching exceptions with try-catch.mp4 16.3 MB
1. C Sharp Basics/00015 - Arrays.mp4 16.0 MB
4. Advanced Concepts of C Sharp/00045 - Understanding abstract classes.mp4 15.8 MB
1. C Sharp Basics/00008 - Work with conditions.mp4 15.6 MB
2. Object-Oriented Programming in C Sharp/00029 - Working with constructors.mp4 14.8 MB
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2. Object-Oriented Programming in C Sharp/00030 - Working with inheritance.mp4 12.3 MB
3. Errors and Debugging/00035 - Throwing exceptions.mp4 12.3 MB

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【影视】 medical-imaging-deep-learning-tutorial-2020

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Medical Imaging Tutorial 2020 - Ch2 - Histology and Segmentation.mp4 15.8 MB
Medical Imaging Tutorial 2020 - Ch1 - Radiology and Multi-View.mp4 14.0 MB
Medical Imaging Tutorial 2020 - Ch5 - GANs in Medical Imaging.mp4 13.8 MB
Medical Imaging Tutorial 2020 - Ch4 - Incorrect Feature Attribution.mp4 10.6 MB
Medical Imaging Tutorial 2020 - Ch3 - Cell Counting.mp4 10.1 MB
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【影视】 [FreeTutorials.Eu] Udemy - building-recommender-systems-with-machine-learning-and-ai

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08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4 190.7 MB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow.mp4 152.5 MB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1.mp4 151.5 MB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4 125.6 MB
10 Scaling it Up/087 DSSTNE in Action.mp4 122.3 MB
01 Getting Started/002 [Activity] Install Anaconda course materials and create movie recommendations.mp4 109.1 MB
08 Introduction to Deep Learning [Optional]/061 [Exercise] Predict Political Parties of Politicians with Keras.mp4 105.1 MB
08 Introduction to Deep Learning [Optional]/055 Introduction to Tensorflow.mp4 97.0 MB
11 Real-World Challenges of Recommender Systems/097 Filter Bubbles Trust and Outliers.mp4 96.9 MB
08 Introduction to Deep Learning [Optional]/059 [Activity] Handwriting Recognition with Keras.mp4 93.0 MB
08 Introduction to Deep Learning [Optional]/051 History of Artificial Neural Networks.mp4 88.3 MB
08 Introduction to Deep Learning [Optional]/064 [Activity] Handwriting Recognition with Convolutional Neural Networks (CNNs).mp4 86.3 MB
08 Introduction to Deep Learning [Optional]/062 Intro to Convolutional Neural Networks (CNNs).mp4 82.0 MB
09 Deep Learning for Recommender Systems/071 [Activity] Recommendations with RBMs part 2.mp4 80.5 MB
09 Deep Learning for Recommender Systems/076 [Activity] Recommendations with Deep Neural Networks.mp4 79.1 MB
10 Scaling it Up/090 SageMaker in Action Factorization Machines on one million ratings in the cloud.mp4 71.7 MB
03 Evaluating Recommender Systems/018 [Activity] Walkthrough of RecommenderMetrics.py.mp4 67.4 MB
09 Deep Learning for Recommender Systems/079 Exercise Results GRU4Rec in Action.mp4 65.7 MB
05 Content-Based Filtering/025 Content-Based Recommendations and the Cosine Similarity Metric.mp4 64.6 MB
07 Matrix Factorization Methods/043 Principal Component Analysis (PCA).mp4 64.2 MB

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【影视】 [DesireCourse.Net] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
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6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
2. Numpy (New)/3. Dot Product.mp4 27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
5. Scipy (New)/3. Convolution.mp4 22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB

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【影视】 [FreeCoursesOnline.Me] [MANNING] Grokking Deep Learning in Motion [FCO]

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34 - Regularization - Early Stopping and Dropout.mp4 194.5 MB
37 - Softmax and implementation in code.mp4 181.2 MB
25 - Up and down pressure.mp4 144.7 MB
36 - Standard Activation Functions.mp4 133.5 MB
32 - 3-layer network on MNIST.mp4 127.8 MB
17 - How to use a derivative to learn.mp4 111.0 MB
05 - Parametric vs. non-parametric learning.mp4 105.0 MB
24 - Building our neural network.mp4 101.2 MB
08 - Multiple inputs.mp4 99.8 MB
26 - Correlation and backpropagation.mp4 97.2 MB
22 - Visualizing weight values.mp4 97.1 MB
01 - Introduction.mp4 95.4 MB
06 - Making a prediction.mp4 94.7 MB
35 - Activation Function Constraints.mp4 94.3 MB
28 - Our first 'deep' neural network.mp4 93.5 MB
29 - Simplifying.mp4 90.9 MB
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【影视】 [FreeCourseSite.com] Udemy - Machine Learning A-Z Become Kaggle Master

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17. Logistic Regression/4. Case Study.mp4 207.8 MB
7. Data Visualisation/2. Seaborn.mp4 193.7 MB
15. Model Selection Part1/4. Gridsearch Case study Part2.mp4 187.6 MB
7. Data Visualisation/1. Matplotlib.mp4 181.2 MB
2. Numpy/3. Numpy Operations Part2.mp4 178.2 MB
18. Support Vector Machine (SVM)/14. Case Study 4.mp4 172.4 MB
4. Some Fun With Maths/1. Linear Algebra Vectors.mp4 170.3 MB
23. Dimension Reduction/1. Introduction.mp4 164.3 MB
20. Ensembling/16. Case Study Part1.mp4 148.4 MB
9. Simple Linear Regression/7. LR Case Study Part1.mp4 144.2 MB
26. Project Kaggle/2. Playing With The Data.mp4 143.7 MB
20. Ensembling/17. Case Study Part2.mp4 143.3 MB
26. Project Kaggle/17. Building Machine Learning model part2.mp4 141.7 MB
10. Multiple Linear Regression/9. Case Study Part4.mp4 138.6 MB
2. Numpy/2. Numpy Operations Part1.mp4 135.0 MB
19. Decision Tree/9. DT Case Study Part1.mp4 131.5 MB
15. Model Selection Part1/3. Gridsearch Case study Part1.mp4 130.3 MB
26. Project Kaggle/16. Building Machine Learning model part1.mp4 130.0 MB
23. Dimension Reduction/5. Case Study Part2.mp4 129.0 MB
26. Project Kaggle/5. Train, Test And Cross Validation Split.mp4 121.9 MB

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【影视】 The.Learning.Curve.2001.1080p.WEBRip.x264-RARBG

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【影视】 [CourseClub.ME] AppliedAICourse - Applied Machine Learning Course

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1.1 - How to Learn from Appliedaicourse/1.1 - How to Learn from Appliedaicourse.mp4 465.1 MB
34.2 - Productionization and deployment of Machine Learning Models/34.2 - Productionization and deployment of Machine Learning Models.mp4.mkv 280.3 MB
1.2 - How the Job Guarantee program works/1.2 - How the Job Guarantee program works.mp4 255.7 MB
5.1 - Numpy Introduction/5.1 - Numpy Introduction.mp4 164.7 MB
5.2 - Numerical operations on Numpy/5.2 - Numerical operations on Numpy.mp4 163.6 MB
45.9 - Univariate AnalysisGene feature/45.9 - Univariate AnalysisGene feature.mp4 151.2 MB
3.1 - Lists/3.1 - Lists.mp4 148.1 MB
49.6 - Softmax Classifier on MNIST dataset/49.6 - Softmax Classifier on MNIST dataset..mp4 146.9 MB
57.26 - Data Control Language GRANT, REVOKE/57.26 - Data Control Language GRANT, REVOKE.mp4 145.4 MB
51.6 - LSTM/51.6 - LSTM..mp4 143.8 MB
54.4 - Char-RNN with abc-notation Data preparation/54.4 - Char-RNN with abc-notation Data preparation..mp4 138.1 MB
41.9 - EDA Advanced Feature Extraction/41.9 - EDA Advanced Feature Extraction.mp4 137.7 MB
51.10 - Code example IMDB Sentiment classification/51.10 - Code example IMDB Sentiment classification.mp4 128.7 MB
23.5 - Naive Bayes algorithm/23.5 - Naive Bayes algorithm.mp4 122.4 MB
42.13 - Code for bag of words based product similarity/42.13 - Code for bag of words based product similarity.mp4 122.0 MB
50.2 - ConvolutionEdge Detection on images/50.2 - ConvolutionEdge Detection on images..mp4 121.6 MB
23.6 - Toy example Train and test stages/23.6 - Toy example Train and test stages.mp4 121.5 MB
45.13 - Baseline Model Naive Bayes/45.13 - Baseline Model Naive Bayes.mp4 121.0 MB
53.12 - Test and visualize the output/53.12 - Test and visualize the output..mp4 119.3 MB
17.1 - Dataset overview Amazon Fine Food reviews(EDA)/17.1 - Dataset overview Amazon Fine Food reviews(EDA).mp4 116.4 MB

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【影视】 [FreeTutorials.Eu] Udemy - Deep Learning & Computer Vision - Build a Self-Driving Car

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14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 399.4 MB
12. Classifying Road Symbols/3. Preprocessing Images.mp4 346.5 MB
14. Behavioural Cloning/2. Collecting Data.mp4 296.1 MB
11. Convolutional Neural Networks/8. Code Implementation I.mp4 266.9 MB
14. Behavioural Cloning/13. Fit Generator.mp4 260.5 MB
9. Multiclass Classification/4. Implementation.mp4 257.2 MB
11. Convolutional Neural Networks/3. Convolutional Layer.mp4 241.0 MB
11. Convolutional Neural Networks/9. Code Implementation II.mp4 223.8 MB
8. Deep Neural Networks/7. Code Implementation.mp4 214.2 MB
14. Behavioural Cloning/7. Defining Nvidia Model.mp4 208.2 MB
10. MNIST Image Recognition/5. Implementation Part 1.mp4 203.4 MB
7. Keras/4. Keras Models.mp4 183.8 MB
14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4 174.0 MB
5. Computer Vision Finding Lane Lines/11. Optimizing.mp4 172.5 MB
11. Convolutional Neural Networks/5. Pooling.mp4 169.8 MB
14. Behavioural Cloning/6. Preprocessing Images.mp4 169.6 MB
12. Classifying Road Symbols/8. Fit Generator.mp4 167.6 MB
10. MNIST Image Recognition/6. Implementation Part 2.mp4 163.5 MB
7. Keras/5. Keras - Predictions.mp4 151.5 MB
9. Multiclass Classification/2. Softmax.mp4 148.6 MB

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【影视】 Lynda - Learning VPN [AhLaN]

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6 - 5. VPN Implementations/21 - Planning a VPN solution.mp4 20.5 MB
3 - 2. IKEv2 and WireGuard with Algo/10 - Working with IKEv2 and WireGuard VPN with Algo.mp4 11.6 MB
1 - Introduction/01 - What is a VPN.mp4 10.5 MB
1 - Introduction/02 - How VPN works.mp4 9.4 MB
2 - 1. VPN Protocols/03 - Terms and basics.mp4 8.4 MB
5 - 4. SSH Forwarding/15 - Forwarding an SSH connection.mp4 6.8 MB
5 - 4. SSH Forwarding/16 - Using SSH as a SOCKS proxy.mp4 6.4 MB
4 - 3. OpenVPN/12 - Set up an OpenVPN server.mp4 6.2 MB
2 - 1. VPN Protocols/08 - SSTP, WireGuard, and SoftEther.mp4 5.7 MB
2 - 1. VPN Protocols/05 - L2TP over IPSec.mp4 5.7 MB
6 - 5. VPN Implementations/20 - Commercial VPN providers.mp4 5.7 MB
6 - 5. VPN Implementations/19 - Connecting from mobile.mp4 4.6 MB
6 - 5. VPN Implementations/17 - Appliances and multifunction devices.mp4 4.2 MB
6 - 5. VPN Implementations/18 - Connecting from a desktop or laptop.mp4 3.7 MB
2 - 1. VPN Protocols/09 - SSH.mp4 3.4 MB
2 - 1. VPN Protocols/04 - PPTP.mp4 3.4 MB
5 - 4. SSH Forwarding/14 - Configuring an SSH server.mp4 3.3 MB
7 - Conclusion/22 - Troubleshooting tips.mp4 3.2 MB
3 - 2. IKEv2 and WireGuard with Algo/11 - Connecting to Algo from a mobile device.mp4 3.2 MB
2 - 1. VPN Protocols/07 - OpenVPN.mp4 2.9 MB

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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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【影视】 [FreeCourseSite.com] Udemy - Deep Learning Advanced Computer Vision

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9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
7. Bonus Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
8. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
9. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Basics Review/4. (Review) Keras Neural Network in Code.mp4 69.4 MB
7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
8. Basics Review/5. (Review) Keras Functional API.mp4 40.5 MB
3. VGG and Transfer Learning/3. Transfer Learning.mp4 40.0 MB
9. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
8. Basics Review/3. (Review) Keras Discussion.mp4 29.0 MB
5. Object Detection (SSD)/8. Modifying SSD to work on Video.mp4 26.0 MB
9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
6. Neural Style Transfer/2. Style Transfer Theory.mp4 20.9 MB
2. Review/1. Review of CNNs.mp4 19.4 MB
5. Object Detection (SSD)/7. SSD in Tensorflow.mp4 18.3 MB
6. Neural Style Transfer/5. Code pt 2.mp4 16.5 MB

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【影视】 [OTUS] Deep Learning Engineer (2018)

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lesson9.mp4 438.7 MB
lesson1.mp4 432.3 MB
lesson2.mp4 414.0 MB
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lesson16.mp4 403.4 MB
lesson20.mp4 386.2 MB
lesson14.mp4 381.3 MB
lesson10.mp4 380.9 MB
lesson21.mp4 378.1 MB
lesson3.mp4 377.0 MB
lesson13.mp4 368.4 MB
lesson4.mp4 342.1 MB
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lesson18.mp4 312.0 MB
lesson19.mp4 309.8 MB
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【影视】 [FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R

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18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
15. Data Visualization with R/2. Histograms.mp4 47.8 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
12. R Programming Basics/8. Functions.mp4 36.8 MB
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9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB

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【影视】 [05-2019] learning-data-structures-in-javascript-from-scratch

收录时间:2021-03-09 文档个数:107 文档大小:982.0 MB 最近下载:2025-05-09 人气:1076 磁力链接

01 Introduction to Data Structures and Important Concepts/001 What Are Data Structures and Why Are They Important_.mp4 43.7 MB
03 Binary Search Trees/035 Breadth First Traversal - part 2.mp4 35.5 MB
03 Binary Search Trees/028 Depth First Traversal - In-Order.mp4 34.5 MB
03 Binary Search Trees/024 Insert Method.mp4 31.5 MB
02 Linked Lists/017 Big O Notation and Calculating the Runtime of a Function.mp4 30.8 MB
01 Introduction to Data Structures and Important Concepts/002 Constructor Functions and the _this_ Keyword.mp4 29.0 MB
02 Linked Lists/013 Search Method.mp4 28.0 MB
04 Hash Tables/047 Refactoring Insert Method.mp4 27.7 MB
02 Linked Lists/008 Using Add To Head.mp4 27.7 MB
04 Hash Tables/052 Hash Table - Exercise Review.mp4 26.9 MB
03 Binary Search Trees/021 What is a Binary Search Tree_.mp4 26.1 MB
04 Hash Tables/049 Get Method.mp4 25.7 MB
04 Hash Tables/045 Insert Method.mp4 25.2 MB
05 Next Steps/055 Next Steps.mp4 24.7 MB
02 Linked Lists/007 Add To Head - part 2.mp4 24.6 MB
03 Binary Search Trees/033 Depth First Traversal - Post-Order.mp4 24.6 MB
03 Binary Search Trees/026 Contains Method.mp4 24.0 MB
02 Linked Lists/011 Remove Head.mp4 24.0 MB
03 Binary Search Trees/034 Breadth First Traversal - part 1.mp4 23.9 MB
02 Linked Lists/010 Testing Add To Tail and Add To Head.mp4 23.6 MB

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