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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/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. 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/22. 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/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB

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1 - Introduction/01 - Welcome.mp4 18.8 MB
5 - 4. Setting Up an SSH Server/15 - Setting up the SSH service on Linux.mp4 13.7 MB
2 - 1. SSH Basics/04 - What is SSH.mp4 13.0 MB
2 - 1. SSH Basics/06 - Connecting to an SSH server from Mac OS X or Linux.mp4 8.5 MB
2 - 1. SSH Basics/05 - Connecting to an SSH server from Windows.mp4 8.2 MB
3 - 2. Connecting Securely with a Key/08 - Generating a key pair on Mac OS X or Linux.mp4 8.1 MB
4 - 3. Other Uses of SSH/12 - Transferring files with SSH File Transfer Protocol (SFTP).mp4 7.2 MB
4 - 3. Other Uses of SSH/14 - Creating an SSH tunnel.mp4 6.2 MB
3 - 2. Connecting Securely with a Key/10 - Generating a key pair on Windows.mp4 6.1 MB
5 - 4. Setting Up an SSH Server/17 - Windows and SSH servers.mp4 5.0 MB
4 - 3. Other Uses of SSH/13 - Transferring files with secure copy (SCP).mp4 4.4 MB
3 - 2. Connecting Securely with a Key/09 - Connecting to an SSH server from Mac OS X and Linux using a key.mp4 3.7 MB
1 - Introduction/02 - What you should know before starting this course.mp4 3.0 MB
3 - 2. Connecting Securely with a Key/07 - Using a key for more-secure access.mp4 2.8 MB
3 - 2. Connecting Securely with a Key/11 - Connecting to an SSH server from Windows using a key.mp4 2.3 MB
Ex_Files_Understanding_SSH/Exercise Files/art1.jpg 2.1 MB
5 - 4. Setting Up an SSH Server/16 - Setting up the SSH service on Mac OS X.mp4 2.1 MB
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【影视】 [ FreeCourseWeb.com ] Udemy - Maximize Your Learning Potential With Chatgpt

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~Get Your Files Here !/1 - Introduction/1 - Overview of the Course.mp4 63.3 MB
~Get Your Files Here !/4 - Chapter 3 Strategy 2 Active Learning Techniques/19 - Techniques for Active Learning Including Retrieval PracticeSpaced Repetition.mp4 60.3 MB
~Get Your Files Here !/1 - Introduction/3 - Introducing ChatGPT as a Learning Tool.mp4 59.9 MB
~Get Your Files Here !/6 - Chapter 5 Strategy 4 Using ChatGPT for Testing Yourself/25 - The importance of selftesting.mp4 57.0 MB
~Get Your Files Here !/3 - Chapter 2 Strategy 1 Goal Setting and Prioritization/14 - Techniques for Setting SMART Goals with ChatGPT.mp4 54.5 MB
~Get Your Files Here !/3 - Chapter 2 Strategy 1 Goal Setting and Prioritization/16 - Tips for Prioritizing Your Learning Tasks with ChatGPT.mp4 53.3 MB
~Get Your Files Here !/7 - Chapter 6 Avoiding Learning Blockers/28 - Chapter 6 Avoiding Learning Blockers.mp4 50.8 MB
~Get Your Files Here !/5 - Chapter 4 Strategy 3 Mindset and Motivation/23 - Techniques for developing a growth mindset.mp4 46.4 MB
~Get Your Files Here !/4 - Chapter 3 Strategy 2 Active Learning Techniques/20 - How to incorporate active learning into your routine.mp4 44.3 MB
~Get Your Files Here !/1 - Introduction/2 - Importance of Efficient Learning.mp4 44.1 MB
~Get Your Files Here !/5 - Chapter 4 Strategy 3 Mindset and Motivation/22 - The role of mindset and motivation in learning.mp4 40.2 MB
~Get Your Files Here !/4 - Chapter 3 Strategy 2 Active Learning Techniques/18 - Understanding the benefits of active learning.mp4 40.1 MB
~Get Your Files Here !/6 - Chapter 5 Strategy 4 Using ChatGPT for Testing Yourself/27 - Limitations of chatGPT for testing yourself.mp4 37.9 MB
~Get Your Files Here !/2 - Chapter 1 Debunking Common Learning Myths/12 - Myth 7 Technology cannot enhance learning.mp4 37.7 MB
~Get Your Files Here !/3 - Chapter 2 Strategy 1 Goal Setting and Prioritization/13 - The Importance of Setting Goals and Priorities.mp4 36.1 MB
~Get Your Files Here !/3 - Chapter 2 Strategy 1 Goal Setting and Prioritization/17 - How ChatGPT Can Assist in Setting and Tracking Your Goals.mp4 36.0 MB
~Get Your Files Here !/2 - Chapter 1 Debunking Common Learning Myths/6 - Myth 1 Learning Styles Are Fixed.mp4 34.4 MB
~Get Your Files Here !/5 - Chapter 4 Strategy 3 Mindset and Motivation/24 - Tips for staying motivated and overcoming obstacles.mp4 32.9 MB
~Get Your Files Here !/6 - Chapter 5 Strategy 4 Using ChatGPT for Testing Yourself/26 - Using ChatGPT as a tester.mp4 28.5 MB
~Get Your Files Here !/4 - Chapter 3 Strategy 2 Active Learning Techniques/21 - How ChatGPT can Suggest Active Learning Techniques and Provide Feedback.mp4 28.3 MB

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【影视】 [ CourseLala.com ] Connecting LinkedIn Learning with Your Organization's Systems (2021)

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~Get Your Files Here !/[2] 1. Authentication/[2] How to configure SAML.mp4 11.1 MB
~Get Your Files Here !/[4] 3. Content Discovery in Third-Party Systems/[3] Packages.mp4 8.1 MB
~Get Your Files Here !/[4] 3. Content Discovery in Third-Party Systems/[4] Linking.mp4 5.4 MB
~Get Your Files Here !/[3] 2. Automate Managing Learners/[4] Automate provisioning groups using HTTP.mp4 4.7 MB
~Get Your Files Here !/[5] 4. Reporting/[4] Enable xAPI.mp4 4.6 MB
~Get Your Files Here !/[7] Conclusion/[1] Help and support.mp4 4.5 MB
~Get Your Files Here !/[4] 3. Content Discovery in Third-Party Systems/[2] Automatic course sync.mp4 4.5 MB
~Get Your Files Here !/[1] Introduction/[2] Benefits and options overview.mp4 4.4 MB
~Get Your Files Here !/[2] 1. Authentication/[5] SSO and connected profile user experience.mp4 4.0 MB
~Get Your Files Here !/[2] 1. Authentication/[1] Overview.mp4 3.5 MB
~Get Your Files Here !/[3] 2. Automate Managing Learners/[2] Automate provisioning, groups, and more using SAML.mp4 3.1 MB
~Get Your Files Here !/[3] 2. Automate Managing Learners/[3] Automate provisioning groups using SFTP.mp4 3.1 MB
~Get Your Files Here !/[5] 4. Reporting/[1] Overview.mp4 2.8 MB
~Get Your Files Here !/[1] Introduction/[1] Connecting LinkedIn Learning with your systems.mp4 2.5 MB
~Get Your Files Here !/[4] 3. Content Discovery in Third-Party Systems/[5] Content API.mp4 2.4 MB
~Get Your Files Here !/[2] 1. Authentication/[3] How to configure LTI authentication.mp4 2.4 MB
~Get Your Files Here !/[4] 3. Content Discovery in Third-Party Systems/[1] Overview.mp4 2.4 MB
~Get Your Files Here !/[6] 5. Learning Hub/[1] Learning Hub Content integration.mp4 2.3 MB
~Get Your Files Here !/[1] Introduction/[3] Prerequisites.mp4 1.9 MB
~Get Your Files Here !/[5] 4. Reporting/[5] Reporting API.mp4 1.7 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning with 2 Capstone ML Projects

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~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.mp4 103.6 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.mp4 100.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.mp4 92.7 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.mp4 85.2 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.mp4 83.1 MB
~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.mp4 81.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.mp4 79.2 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.mp4 77.3 MB
~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.mp4 77.0 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.mp4 75.1 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.mp4 74.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.mp4 74.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.mp4 70.3 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.mp4 68.4 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/18. Difference between PCA, t-SNE, and LDA.mp4 68.0 MB
~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.mp4 66.7 MB
~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.mp4 64.8 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.mp4 60.6 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/2. Methods to solve the problem of High Dimensionality.mp4 59.8 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.mp4 59.5 MB

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【影视】 Udemy - Introduction to Machine Learning & Face Detection in Python (2015)

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08 Neural Networks/005 Applications of neural networks.mp4 24.5 MB
08 Neural Networks/007 Neural network example - XOR problem.mp4 26.2 MB
08 Neural Networks/002 Simple example - logical AND table.mp4 11.8 MB
08 Neural Networks/001 Neural network introduction.mp4 16.2 MB
08 Neural Networks/003 Training a neural network.mp4 34.9 MB
08 Neural Networks/004 Complex neural networks.mp4 34.0 MB
08 Neural Networks/006 Deep learning.mp4 11.1 MB
06 Tree Based Algorithms/008 Random forests example II - enhance decision trees.mp4 9.2 MB
06 Tree Based Algorithms/007 Random forests example I.mp4 9.3 MB
06 Tree Based Algorithms/004 Pruning and bagging.mp4 14.1 MB
06 Tree Based Algorithms/002 Decision trees example I.mp4 6.1 MB
06 Tree Based Algorithms/003 Decision trees example II - iris data.mp4 52.1 MB
06 Tree Based Algorithms/001 Decision trees introduction.mp4 40.1 MB
06 Tree Based Algorithms/006 Boosting.mp4 11.9 MB
06 Tree Based Algorithms/005 Random forests introduction.mp4 10.1 MB
02 Regression/005 Logistic regression example I - sigmoid function.mp4 48.3 MB
02 Regression/003 Logistic regression introduction.mp4 44.7 MB
02 Regression/004 Cross validation.mp4 19.8 MB
02 Regression/001 Linear regression introduction.mp4 31.4 MB
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【影视】 Machine Learning & Data Science A-Z Hands-on Python 2021

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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/12. Normalization.mp4 195.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
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【影视】 [FreeTutorials.Us] from-0-1-machine-learning

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03-solving-classification-problems/attached_files/009-random-variables/Random-Variable.pdf 973.0 kB
03-solving-classification-problems/attached_files/010-bayes-theorem/Bayes-Theorem.pdf 944.5 kB
03-solving-classification-problems/attached_files/011-naive-bayes-classifier/Nb-1.pdf 1.4 MB
03-solving-classification-problems/attached_files/012-naive-bayes-classifier-an-example/Nb-2.pdf 1.9 MB
03-solving-classification-problems/attached_files/013-knearest-neighbors/Knn-1.pdf 835.5 kB
03-solving-classification-problems/attached_files/014-knearest-neighbors-a-few-wrinkles/Knn-2.pdf 924.4 kB
03-solving-classification-problems/attached_files/015-support-vector-machines-introduced/Svm-1.pdf 856.8 kB
03-solving-classification-problems/attached_files/016-support-vector-machines-maximum-margin-hyperplane-and-kernel-trick/Svm-2.pdf 2.1 MB
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04-clustering-as-a-form-of-unsupervised-learning/attached_files/018-clustering-introduction/Ml-Clustering.pdf 973.9 kB
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【影视】 Infinite Skills - Learning Windows PowerShell

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02. PowerShell Basics/0203 .NET Integration - Part 1.MP4 8.0 MB
02. PowerShell Basics/0204 .NET Integration - Part 2.MP4 8.7 MB
02. PowerShell Basics/0205 Backwards Compatability.MP4 9.2 MB
03. Getting Set Up With PowerShell/0301 Getting PowerShell.MP4 6.0 MB
03. Getting Set Up With PowerShell/0302 Installing PowerShell.MP4 7.9 MB
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03. Getting Set Up With PowerShell/0304 Post Installation.MP4 9.0 MB
03. Getting Set Up With PowerShell/0305 Configuring The Console.MP4 10.0 MB
03. Getting Set Up With PowerShell/0306 PowerShell IDEs.MP4 14.7 MB
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【影视】 Machine Learning Deep Learning Model Deployment

收录时间:2021-03-20 文档个数:180 文档大小:1.8 GB 最近下载:2025-05-14 人气:2280 磁力链接

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[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/020 Building and deploying PyTorch models.mp4 67.6 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/08 Model as a mathematical formula/044 Deriving formula from a Linear Regression Model.mp4 67.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/016 Serverless Machine Learning API using Cloud Functions.mp4 57.9 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/014 Hosting the Machine Learning REST API on the Cloud.mp4 54.7 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/036 Serving TensorFlow models serverless.mp4 47.4 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/04 Creating a REST API for the Machine Learning Model/012 Creating a REST API for the Model.mp4 46.0 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/024 Creating a REST API using TensorFlow Model Server.mp4 44.4 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/030 Deploying tf-idf and text classifier models for Twitter sentiment analysis.mp4 42.2 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/06 Deploying NLP models for Twitter sentiment analysis/033 Twitter sentiment analysis with PyTorch REST API.mp4 42.1 MB
[TutsNode.com] - Machine Learning Deep Learning Model Deployment/05 Deploying Deep Learning Models/022 Saving & loading TensorFlow Keras models.mp4 40.6 MB
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收录时间:2022-05-15 文档个数:42 文档大小:2.6 GB 最近下载:2025-05-13 人气:1133 磁力链接

~Get Your Files Here !/2. Polynomials and Theory of Equations/7. Contest Problems.mp4 282.9 MB
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~Get Your Files Here !/2. Polynomials and Theory of Equations/1. Introduction to Polynomials.mp4 129.1 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/9. Proof of Perron's Criterion.mp4 121.4 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/8. Irreducible Polynomials.mp4 108.6 MB
~Get Your Files Here !/3. Inequalities/7. Majorization and Muirhead Inequality.mp4 105.8 MB
~Get Your Files Here !/3. Inequalities/2. Weighted AM-GM & Cauchy-Schwarz.mp4 96.7 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/4. Symmetric and Homogeneous Polynomials.mp4 93.1 MB
~Get Your Files Here !/2. Polynomials and Theory of Equations/3. Problem Solving Session.mp4 92.6 MB
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~Get Your Files Here !/3. Inequalities/8. Problem Solving I.mp4 80.8 MB
~Get Your Files Here !/3. Inequalities/6. Schur's, Jensen and Minkowski's Inequalities.mp4 76.4 MB
~Get Your Files Here !/1. Intoduction to the Course/1. Welcome to the Olympiad Algebra Course.mp4 73.8 MB
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【影视】 [FreeCoursesOnline.Me] [Coursera] Applied Machine Learning in Python - [FCO]

收录时间:2021-03-10 文档个数:76 文档大小:924.2 MB 最近下载:2025-05-13 人气:1700 磁力链接

003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
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002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4 41.0 MB
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
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004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4 31.5 MB
005.Optional Unsupervised Machine Learning/034. Clustering.mp4 28.5 MB
004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4 27.7 MB
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004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4 22.4 MB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4 21.8 MB

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