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【影视】 [DesireCourse.Com] Udemy - Deep Learning GANs and Variational Autoencoders

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05 Appendix/037 How to How to install Numpy Theano Tensorflow etc....mp4 46.0 MB
04 Generative Adversarial Networks GANs/035 Theano Implementation.mp4 30.8 MB
04 Generative Adversarial Networks GANs/033 Tensorflow Implementation.mp4 29.0 MB
03 Variational Autoencoders/020 Tensorflow Implementation pt 3.mp4 28.7 MB
02 Generative Modeling Review/009 Why do we care about generating samples.mp4 25.1 MB
02 Generative Modeling Review/007 Gaussian Mixture Model Review.mp4 19.2 MB
03 Variational Autoencoders/024 Bayesian Perspective.mp4 18.6 MB
03 Variational Autoencoders/022 Theano Implementation.mp4 16.1 MB
04 Generative Adversarial Networks GANs/031 Fractionally-Strided Convolution.mp4 15.9 MB
03 Variational Autoencoders/015 Parameterizing a Gaussian with a Neural Network.mp4 15.7 MB
05 Appendix/040 How to Code by Yourself part 2.mp4 15.5 MB
04 Generative Adversarial Networks GANs/029 DCGAN.mp4 14.3 MB
05 Appendix/039 How to Code by Yourself part 1.mp4 14.3 MB
03 Variational Autoencoders/017 Cost Function.mp4 13.7 MB
04 Generative Adversarial Networks GANs/027 GAN Cost Function pt 1.mp4 13.5 MB
04 Generative Adversarial Networks GANs/034 Theano Implementation Notes.mp4 13.3 MB
03 Variational Autoencoders/018 Tensorflow Implementation pt 1.mp4 13.2 MB
04 Generative Adversarial Networks GANs/032 Tensorflow Implementation Notes.mp4 12.7 MB
03 Variational Autoencoders/014 Variational Autoencoder Architecture.mp4 10.4 MB
05 Appendix/038 How to Succeed in this Course Long Version.mp4 10.0 MB

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【影视】 [FreeCourseSite.com] 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】林軒田(Hsuan-Tien Lin) - [機器學習基石]Machine Learning Foundations

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P10 3-1-Learning with Different Output Space @ Machine Learning Foundations (機器學習基石).mp4 67.7 MB
P11 3-2-Learning with Different Data Label @ Machine Learning Foundations (機器學習基石).mp4 61.7 MB
P13 3-4-Learning with Different Input Space @ Machine Learning Foundations (機器學習基石).mp4 48.8 MB
P30 8-1-Noise and Probabilistic Target @ Machine Learning Foundations (機器學習基石).mp4 47.5 MB
P2 1-2-What Is Machine Learning @ Machine Learning Foundations (機器學習基石).mp4 46.1 MB
P46 12-1-Quadratic Hypotheses @ Machine Learning Foundations (機器學習基石).mp4 45.3 MB
P3 1-3-Applications of Machine Learning @ Machine Learning Foundations (機器學習基石).mp4 44.2 MB
P54 14-1-Regularized Hypothesis Set @ Machine Learning Foundations (機器學習基石).mp4 43.1 MB
P55 14-2-Weight Decay Regularization @ Machine Learning Foundations (機器學習基石).mp4 42.8 MB
P19 5-2-Effective Number of Lines @ Machine Learning Foundations (機器學習基石).mp4 42.7 MB
P12 3-3-Learning with Different Protocol @ Machine Learning Foundations (機器學習基石).mp4 41.7 MB
P9 2-4-Non-Separable Data @ Machine Learning Foundations (機器學習基石).mp4 41.5 MB
P58 15-1-Model Selection Problem @ Machine Learning Foundations (機器學習基石).mp4 40.6 MB
P42 11-1-Linear Models for Binary Classification @ Machine Learning Foundations (機器學習基石).mp4 40.4 MB
P18 5-1-Recap and Preview @ Machine Learning Foundations (機器學習基石).mp4 39.8 MB
P16 4-3-Connection to Learning @ Machine Learning Foundations (機器學習基石).mp4 39.7 MB
P17 4-4-Connection to Real Learning @ Machine Learning Foundations (機器學習基石).mp4 39.5 MB
P14 4-1-Learning is Impossible @ Machine Learning Foundations (機器學習基石).mp4 39.5 MB
P41 10-4-Gradient Descent @ Machine Learning Foundations (機器學習基石).mp4 39.4 MB
P52 13-3-Deterministic Noise @ Machine Learning Foundations (機器學習基石).mp4 39.3 MB

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【影视】 [FreeCoursesOnline.Me] [Packt] Hands-On Machine Learning using JavaScript [FCO]

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01.Getting ready!/0104.Setting Up Our Machine Learning Environment.mp4 100.4 MB
05.Finding Hidden Value in Unlabeled Data/0504.Analyzing Plant Species Using K-means Clustering.mp4 79.5 MB
04. Using Support Vector Machine and Random Forests for Complex Problems/0404.Making Better Decision with Decision Trees.mp4 74.0 MB
02.Diving Headfirst into Supervised Learning/0203.Predicting Salaries after College Using Linear Regression.mp4 73.2 MB
06.Deep Neural Networks/0603.Neural Networks in Tensorflow.js.mp4 71.7 MB
06.Deep Neural Networks/0604.Multiclass Classification Using TensorFlow.js.mp4 63.6 MB
01.Getting ready!/0102.Introduction to Machine Learning.mp4 62.0 MB
06.Deep Neural Networks/0602.How a Neural Network Works.mp4 60.9 MB
02.Diving Headfirst into Supervised Learning/0201.Understand Regression with Linear Regression.mp4 49.8 MB
05.Finding Hidden Value in Unlabeled Data/0503.Using Principal Component Analysis to Speed-up Machine Learning Algorithms.mp4 41.4 MB
05.Finding Hidden Value in Unlabeled Data/0502.Grouping Unlabeled Data in Meaningful Ways Using K-means Clustering.mp4 39.4 MB
04. Using Support Vector Machine and Random Forests for Complex Problems/0403.Image Classifier Using SVM.mp4 35.0 MB
03.Improving Models/0302.Better Measures than Accuracy.mp4 31.3 MB
02.Diving Headfirst into Supervised Learning/0204.Understand Classification with Logistic Regression.mp4 31.3 MB
01.Getting ready!/0103.Tour of the JavaScript Machine Learning Landscape.mp4 31.3 MB
05.Finding Hidden Value in Unlabeled Data/0501.Introduction and Advantage of Unsupervised Learning.mp4 27.6 MB
03.Improving Models/0301.Model Evaluation.mp4 27.0 MB
04. Using Support Vector Machine and Random Forests for Complex Problems/0405.Combining Decision Trees to Make Better Predictions.mp4 24.8 MB
03.Improving Models/0304.Improving the Models.mp4 23.7 MB
02.Diving Headfirst into Supervised Learning/0205.Classifying Clothes Using Logistic Regression.mp4 23.6 MB

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

收录时间:2021-05-03 文档个数:87 文档大小:928.3 MB 最近下载:2024-10-26 人气:270 磁力链接

7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
8. Extra Help With Python Coding for Beginners/3. 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
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
9/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9/4. What order should I take your courses in (part 2).mp4 39.5 MB
9/3. What order should I take your courses in (part 1).mp4 30.8 MB
8. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
2. Bias-Variance Trade-Off/7. Suggestion Box.mp4 16.9 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.6 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
8. Extra Help With Python Coding for Beginners/2. 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/3. Bias-Variance Decomposition.mp4 15.0 MB
2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4 14.5 MB
9/1. How to Succeed in this Course (Long Version).mp4 13.6 MB

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【影视】 [Udemy] Deployment of Machine Learning Models (2020) [En]

收录时间:2021-05-03 文档个数:298 文档大小:3.9 GB 最近下载:2025-05-08 人气:1162 磁力链接

4. Building a Reproducible Machine Learning Pipeline/3. Designing a Custom Pipeline.mp4 160.3 MB
2. Machine Learning Pipeline - Research Environment/6. Data Analysis - Demo.mp4 142.0 MB
2. Machine Learning Pipeline - Research Environment/7. Feature Engineering - Demo.mp4 102.9 MB
13. A Deep Learning Model with Big Data/3. Building a CNN in the Research Environment.mp4 93.1 MB
4. Building a Reproducible Machine Learning Pipeline/2. Procedural Programming Pipeline.mp4 90.4 MB
4. Building a Reproducible Machine Learning Pipeline/5. Third Party Pipeline Create Scikit-Learn compatible Feature Transformers.mp4 88.4 MB
13. A Deep Learning Model with Big Data/4. Production Code for a CNN Learning Pipeline.mp4 83.4 MB
5. Course Setup and Key Tools/9. Section5.5b - Virtualenv Introduction.mp4 83.2 MB
7. Serving the model via REST API/7. 7.6 - API Schema Validation.mp4 81.9 MB
3. Machine Learning System Architecture/5. Building a Reproducible Machine Learning Pipeline.mp4 80.8 MB
6. Creating a Machine Learning Pipeline Application/9. 6.8 - Building the Package.mp4 79.6 MB
13. A Deep Learning Model with Big Data/8. 13.8 - Packaging the CNN.mp4 75.4 MB
6. Creating a Machine Learning Pipeline Application/8. 6.7 - Versioning and Logging.mp4 73.9 MB
8. Continuous Integration and Deployment Pipelines/4. 8.4 - Publishing the Model to Gemfury.mp4 72.5 MB
2. Machine Learning Pipeline - Research Environment/10. Getting Ready for Deployment - Demo.mp4 71.1 MB
2. Machine Learning Pipeline - Research Environment/1. Machine Learning Pipeline Overview.mp4 63.5 MB
12. Deploying to IaaS (AWS ECS)/12. 12.11 - Creating the ECS Cluster with the EC2 Launch Method.mp4 62.8 MB
2. Machine Learning Pipeline - Research Environment/2. Machine Learning Pipeline Feature Engineering.mp4 60.5 MB
4. Building a Reproducible Machine Learning Pipeline/4. Leveraging a Third Party Pipeline Scikit-Learn.mp4 59.4 MB
8. Continuous Integration and Deployment Pipelines/3. 8.3 - Setup Circle CI Config.mp4 53.3 MB

猜你喜欢： En Models Udemy Machine 2020 Learning Deployment

【影视】 [BANGBROS]Bridgette B - Learning To Fuck in Spanish (05.05.19).mp4

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[BANGBROS]Bridgette B - Learning To Fuck in Spanish (05.05.19).mp4 433.0 MB

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【影视】 Data Science using Machine Learning Algorithm with Big Data

收录时间:2021-05-03 文档个数:227 文档大小:5.6 GB 最近下载:2025-05-15 人气:3548 磁力链接

[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/2. Case Study 2 with Scikit Learn Library.mp4 431.8 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/11. Plotly Library Tutorial.mp4 334.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/1. Case Study 1 with Scikit Learn Library.mp4 291.6 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/2. Python Programming Foundation/20. Python Crash Course.mp4 266.8 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/2. Numpy Library Tutorial 1.mp4 228.7 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/3. Matplotlib Library Tutorial 1.mp4 214.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/2. Pandas Tutorial 1.mp4 198.7 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/5. Pandas Tutorial 4.mp4 160.0 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/3. Pandas Tutorial 2.mp4 149.5 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/7. Machine Learning/2. What is Machine Learning.mp4 133.0 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/9. Seaborn Library Tutorial 2.mp4 119.3 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/4. Numpy Library Tutorial 3.mp4 114.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/8. Data Science/1. Collection of Data and Tools to Collect Data.mp4 113.3 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/4. Pandas Tutorial 3.mp4 96.2 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/2. Logistic Regression.mp4 92.5 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/2. How to choose the RIGHT Charts & Graph for your Data.mp4 91.2 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/5. KNN Algorithm.mp4 91.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/8. Seaborn Library Tutorial 1.mp4 86.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/3. Numpy Library Tutorial 2.mp4 82.9 MB
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【影视】 [UdemyCourseDownloader] Learning Cloud Computing Cloud Governance

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04.Goverance Tool Demo/04.17.Governance demonstration.mp4 14.5 MB
02.Introduction to Cloud Governance/02.07.Compliance and governance.mp4 7.8 MB
02.Introduction to Cloud Governance/02.06.Security and governance.mp4 7.5 MB
05.Approaching Cloud Governance/05.18.Understanding your requirements.mp4 7.3 MB
02.Introduction to Cloud Governance/02.08.Introduction to policies.mp4 7.0 MB
02.Introduction to Cloud Governance/02.04.Resource governance.mp4 6.6 MB
02.Introduction to Cloud Governance/02.05.Service governance.mp4 6.1 MB
05.Approaching Cloud Governance/05.19.Finding the right tools.mp4 6.0 MB
03.Governance Tools/03.15.Estimated costs.mp4 6.0 MB
03.Governance Tools/03.11.Identity and access tools.mp4 5.8 MB
03.Governance Tools/03.14.Example of a cloud governance project.mp4 5.7 MB
06.Conclusion/06.22.Next steps.mp4 5.4 MB
03.Governance Tools/03.09.Cloud management platforms (CMPs).mp4 5.4 MB
05.Approaching Cloud Governance/05.21.Cloud governance operations.mp4 5.2 MB
03.Governance Tools/03.13.Compliance and governance tools.mp4 5.1 MB
02.Introduction to Cloud Governance/02.03.The basics.mp4 5.0 MB
03.Governance Tools/03.16.Needed skills.mp4 4.9 MB
05.Approaching Cloud Governance/05.20.Testing cloud governance.mp4 3.8 MB
01.Introduction/01.01.Cloud governance tools.mp4 3.6 MB
03.Governance Tools/03.10.Service governance tools.mp4 3.1 MB

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【影视】 Lily Love - Learning the Hard Way [BDOvrs].mp4

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【影视】 [GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python

收录时间:2021-05-04 文档个数:96 文档大小:1.1 GB 最近下载:2025-05-14 人气:1510 磁力链接

8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
8. Appendix/10. Is Theano Dead.mp4 18.7 MB
8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB

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【影视】 [ FreeCourseWeb ] Udemy - Machine Learning Basics- Building Regression Model in Python

收录时间:2021-05-04 文档个数:122 文档大小:2.9 GB 最近下载:2025-05-15 人气:712 磁力链接

6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 164.2 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
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
3. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.8 MB

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【影视】 Learning Curves Vol 2

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【影视】 Lynda - Learning CentOS Linux [AhLaN]

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5 - 4. Working with Common Services and Applications/28 - Setting up a web server.mp4 20.5 MB
3 - 2. Basic Administration/19 - Installing and updating software.mp4 20.4 MB
2 - 1. Getting Started/05 - Installing CentOS on a virtual machine.mp4 15.3 MB
3 - 2. Basic Administration/21 - Installing packages from other sources.mp4 12.9 MB
3 - 2. Basic Administration/10 - Configuring the network manually.mp4 12.0 MB
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3 - 2. Basic Administration/11 - Configuring the network with NetworkManager.mp4 10.6 MB
2 - 1. Getting Started/04 - Installation options.mp4 10.2 MB
6 - 5. Using a Desktop/34 - Allowing screen-sharing access with VNC.mp4 10.0 MB
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3 - 2. Basic Administration/16 - Transferring files to and from the server.mp4 9.6 MB
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4 - 3. Working with Security-Enhanced Linux (SELinux)/23 - Access control mechanisms and policies.mp4 9.3 MB
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3 - 2. Basic Administration/08 - The Linux file system and the Filesystem Hierarchy Standard.mp4 7.9 MB
2 - 1. Getting Started/07 - Installing CentOS on a physical machine.mp4 7.4 MB
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【影视】 [DesireCourse.Net] Udemy - Complete Machine Learning and Data Science Zero to Mastery

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05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4 238.7 MB
09 Scikit-learn Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4 199.4 MB
09 Scikit-learn Creating Machine Learning Models/102 Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16 Career Advice Extra Bits/257 CWD Git Github.mp4 184.7 MB
09 Scikit-learn Creating Machine Learning Models/133 Tuning Hyperparameters.mp4 184.1 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 Training Your Deep Neural Network.mp4 174.7 MB
16 Career Advice Extra Bits/251 What If I Dont Have Enough Experience.mp4 168.8 MB
12 Milestone Project 2 Supervised Learning (Time Series Data)/170 Feature Engineering.mp4 166.9 MB
09 Scikit-learn Creating Machine Learning Models/139 Putting It All Together.mp4 166.0 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/230 Make And Transform Predictions.mp4 162.5 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/217 Turning Data Into Batches 2.mp4 156.6 MB
12 Milestone Project 2 Supervised Learning (Time Series Data)/171 Turning Data Into Numbers.mp4 153.3 MB
05 Data Science Environment Setup/035 Mac Environment Setup.mp4 151.4 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/233 Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
09 Scikit-learn Creating Machine Learning Models/109 Choosing The Right Model For Your Data.mp4 150.2 MB
12 Milestone Project 2 Supervised Learning (Time Series Data)/183 Feature Importance.mp4 149.2 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/237 Making Predictions On Test Images.mp4 147.7 MB
14 Neural Networks Deep Learning Transfer Learning and TensorFlow 2/236 Training Model On Full Dataset.mp4 146.6 MB
12 Milestone Project 2 Supervised Learning (Time Series Data)/181 Preproccessing Our Data.mp4 146.1 MB
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