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【影视】 Reinforcement Learning with Python Explained for Beginners

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[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/10. Q-Learning Implementation for MAPROVER Clipped.mp4 125.6 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/12. Project Frozenlake (Open AI Gym)/2. Frozenlake Implementation.mp4 117.7 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/8. Solving MDP/9. Value Iteration Solution.mp4 86.2 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/2. What is Reinforcement Learning Hiders and Seekers by OpenAI.mp4 75.8 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/3. RL vs Other ML Frameworks.mp4 62.2 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/9. Value Approximation/6. Monte-Carlo Learning Example.mp4 62.0 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/9. Non Stationary Environment.mp4 62.0 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/7. What is Reward.mp4 61.7 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/2. Motivation Reinforcement Learning/6. Limitations of Reinforcement Learning.mp4 55.6 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/3. Setup 3.mp4 54.3 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/10. Summary.mp4 52.4 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/5. Markov Decision Process Prerequisites/16. Modeling Uncertainity of Environment Value Functions.mp4 51.5 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/8. Stochastic Environment 3.mp4 51.1 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/9. Q-Learning.mp4 50.3 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/6. Stochastic Environment.mp4 49.1 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/4. Policy Comparison.mp4 48.4 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/10. Temporal Differencing-Q Learning/2. Learning Rate.mp4 48.3 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/5. State Belongs to Environment and not to Agent.mp4 46.7 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/4. GridWorld Example/5. Deterministic Environment.mp4 46.2 MB
[TutsNode.com] - Reinforcement Learning with Python Explained for Beginners/3. Terminology of Reinforcement Learning/2. What is Environment_2.mp4 45.8 MB

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【影视】 Linear Algebra for Machine Learning

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[TutsNode.com] - Linear Algebra for Machine Learning/50-2.2 Scalars.mp4 1.0 GB
[TutsNode.com] - Linear Algebra for Machine Learning/32-5.1 Matrix-by-Vector Multiplication.mp4 793.4 MB
[TutsNode.com] - Linear Algebra for Machine Learning/16-4.4 Elimination Exercises.mp4 760.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/55-7.3 Eigenvectors in Python.mp4 735.0 MB
[TutsNode.com] - Linear Algebra for Machine Learning/38-7.2 Exercises.mp4 734.7 MB
[TutsNode.com] - Linear Algebra for Machine Learning/13-1.5 Exercise.mp4 682.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/15-4.2 Substitution Exercises.mp4 672.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/07-5.4 Exercises.mp4 660.4 MB
[TutsNode.com] - Linear Algebra for Machine Learning/31-5.2 Matrix-by-Matrix Multiplication.mp4 628.0 MB
[TutsNode.com] - Linear Algebra for Machine Learning/56-8.5 Eigendecomposition.mp4 464.9 MB
[TutsNode.com] - Linear Algebra for Machine Learning/04-3.5 Exercises.mp4 436.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/36-7.1 The Eigenconcept.mp4 422.3 MB
[TutsNode.com] - Linear Algebra for Machine Learning/34-5.5 Machine Learning and Deep Learning Applications.mp4 341.1 MB
[TutsNode.com] - Linear Algebra for Machine Learning/28-2.4 Norms and Unit Vectors.mp4 337.0 MB
[TutsNode.com] - Linear Algebra for Machine Learning/30-4.3 The Elimination Strategy.mp4 322.8 MB
[TutsNode.com] - Linear Algebra for Machine Learning/09-6.2 Matrix Inversion.mp4 319.6 MB
[TutsNode.com] - Linear Algebra for Machine Learning/41-8.3 Exercises.mp4 308.7 MB
[TutsNode.com] - Linear Algebra for Machine Learning/44-9.4 Regression via Pseudoinversion.mp4 302.0 MB
[TutsNode.com] - Linear Algebra for Machine Learning/25-2.3 Vectors and Vector Transposition.mp4 299.1 MB
[TutsNode.com] - Linear Algebra for Machine Learning/14-4.1 The Substitution Strategy.mp4 283.9 MB

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babes.20.02.01.abella.danger.hands-on.learning.mp4 1.4 GB
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【影视】 [Tutorialsplanet.NET] Udemy - 2019 AWS SageMaker and Machine Learning - With Python

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10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 133.4 MB
8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4 107.2 MB
5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 104.5 MB
5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 101.8 MB
5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4 100.8 MB
7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4 95.1 MB
8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4 93.8 MB
3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4 89.7 MB
9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4 88.2 MB
5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 85.8 MB
3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4 85.7 MB
8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4 81.0 MB
9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4 80.7 MB
8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4 77.8 MB
5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4 76.1 MB
3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 73.6 MB
7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4 72.3 MB

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【影视】 Udemy - Complete Machine Learning and Data Science Zero to Mastery

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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
17. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
17. Career Advice + Extra Bits/3. What If I Don_t Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Binary Classification)/9. Finding Patterns 3.mp4 144.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4 144.5 MB
9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
17. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 136.6 MB
11. Milestone Project 1 Supervised Learning (Binary Classification)/20. Finding The Most Important Features.mp4 133.7 MB
5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 131.6 MB

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【影视】 Learning From Mom 4K.mp4

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Learning From Mom 4K.mp4 2.6 GB

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【影视】 [Drilled.XXX] - 2020.06.01 - Casey Calvert - Learning To Love Ass Fucking (2160p).mp4

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[Drilled.XXX] - 2020.06.01 - Casey Calvert - Learning To Love Ass Fucking (2160p).mp4 6.1 GB

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【影视】 [TeamSkeetXLuxuryGirl] Luxury Girl - Learning By Doing (2020) 1080p.mp4

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[TeamSkeetXLuxuryGirl] Luxury Girl - Learning By Doing (2020) 1080p.mp4 3.2 GB

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【影视】 [DesireCourse.Net] 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
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 128.6 MB
20. Effective Learning Strategies for Machine Learning/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 96.7 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
20. Effective Learning Strategies for Machine Learning/3. 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 90.6 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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【影视】 Lynda - Learning Ubuntu Desktop [AhLaN]

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Ex_Files_Ubuntu_Desktop_Linux/Exercise Files/Video/Commercial2.mp4 81.8 MB
Ex_Files_Ubuntu_Desktop_Linux/Exercise Files/Docs/Recipes.docx 66.4 MB
Ex_Files_Ubuntu_Desktop_Linux/Exercise Files/Video/Commercial1.mov 25.9 MB
4 - 3. Common Tasks and Actions/19 - Working with documents, spreadsheets, and presentations.mp4 24.9 MB
1 - Introduction/04 - Introducing Ubuntu.mp4 23.9 MB
1 - Introduction/01 - Welcome.mp4 22.4 MB
4 - 3. Common Tasks and Actions/15 - Working with files and folders.mp4 20.0 MB
3 - 2. Using the GNOME Desktop/11 - Hardware and system settings.mp4 19.8 MB
2 - 1. Getting Started with Ubuntu/06 - Installing Ubuntu in a virtual machine.mp4 17.2 MB
4 - 3. Common Tasks and Actions/21 - Working with photos.mp4 15.5 MB
Ex_Files_Ubuntu_Desktop_Linux/Exercise Files/Docs/MarketingReview.pptx 15.0 MB
5 - 4. Managing Your Linux Computer/24 - Backing up data.mp4 13.8 MB
4 - 3. Common Tasks and Actions/17 - Adding new software.mp4 13.7 MB
3 - 2. Using the GNOME Desktop/10 - Exploring the GNOME shell.mp4 13.1 MB
4 - 3. Common Tasks and Actions/18 - Updating software.mp4 12.0 MB
4 - 3. Common Tasks and Actions/20 - Listening to audio.mp4 11.5 MB
4 - 3. Common Tasks and Actions/12 - Connecting to an Ethernet network.mp4 10.3 MB
5 - 4. Managing Your Linux Computer/25 - Adding another user.mp4 10.3 MB
6 - 5. More Advanced Topics/29 - Using the Terminal.mp4 9.9 MB
2 - 1. Getting Started with Ubuntu/09 - Installing Ubuntu directly on a computer.mp4 9.0 MB

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【影视】 Linkedin Learning - C Essential Training 1 The Basics

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03-Variables.and.Operators/07.Understanding.variable.scope.mp4 12.6 MB
05-Functions/12.Creating.recursive.functions.mp4 12.1 MB
03-Variables.and.Operators/02.Using.constants.mp4 11.9 MB
01-Introduction/03.Obtaining.and.configuring.the.IDE.mp4 11.6 MB
02-The.Fundamentals.of.C/08.Understanding.header.files.and.libraries.mp4 10.4 MB
04-Decisions.and.Loops/06.Working.with.the.switch-case.structure.mp4 10.0 MB
04-Decisions.and.Loops/02.Exploring.the.possibilities.mp4 9.9 MB
03-Variables.and.Operators/21.Working.with.relational.operators.mp4 9.6 MB
04-Decisions.and.Loops/07.Creating.a.for.loop.mp4 9.5 MB
04-Decisions.and.Loops/12.Breaking.out.of.a.loop.mp4 9.1 MB
04-Decisions.and.Loops/08.Setting.up.a.while.loop.mp4 8.9 MB
03-Variables.and.Operators/22.Using.logical.operators.mp4 8.9 MB
04-Decisions.and.Loops/01.Making.a.decision.mp4 8.7 MB
05-Functions/01.Understanding.functions.mp4 8.6 MB
03-Variables.and.Operators/14.Putting.math.operators.to.work.mp4 8.5 MB
03-Variables.and.Operators/23.Understanding.bitwise.operators.mp4 8.4 MB
05-Functions/11.Retaining.values.in.a.function.mp4 8.4 MB
03-Variables.and.Operators/25.Exploring.unary.operators.mp4 7.7 MB
02-The.Fundamentals.of.C/03.Writing.a.simple.program.mp4 7.6 MB
02-The.Fundamentals.of.C/06.Reviewing.code.structure.mp4 7.5 MB

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【影视】 [GigaCourse.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

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11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 51.5 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 47.1 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4 44.4 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
1. Welcome/1. Introduction.mp4 35.9 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4 35.6 MB

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【影视】 [TutorialPace.com] [LINKEDIN LEARNING] C Essential Training 1 The Basics - [TP]

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03-Variables.and.Operators/07.Understanding.variable.scope.mp4 12.6 MB
05-Functions/12.Creating.recursive.functions.mp4 12.1 MB
03-Variables.and.Operators/02.Using.constants.mp4 11.9 MB
01-Introduction/03.Obtaining.and.configuring.the.IDE.mp4 11.6 MB
02-The.Fundamentals.of.C/08.Understanding.header.files.and.libraries.mp4 10.4 MB
04-Decisions.and.Loops/06.Working.with.the.switch-case.structure.mp4 10.0 MB
04-Decisions.and.Loops/02.Exploring.the.possibilities.mp4 9.9 MB
03-Variables.and.Operators/21.Working.with.relational.operators.mp4 9.6 MB
04-Decisions.and.Loops/07.Creating.a.for.loop.mp4 9.5 MB
04-Decisions.and.Loops/12.Breaking.out.of.a.loop.mp4 9.1 MB
04-Decisions.and.Loops/08.Setting.up.a.while.loop.mp4 8.9 MB
03-Variables.and.Operators/22.Using.logical.operators.mp4 8.9 MB
04-Decisions.and.Loops/01.Making.a.decision.mp4 8.7 MB
05-Functions/01.Understanding.functions.mp4 8.6 MB
03-Variables.and.Operators/14.Putting.math.operators.to.work.mp4 8.5 MB
03-Variables.and.Operators/23.Understanding.bitwise.operators.mp4 8.4 MB
05-Functions/11.Retaining.values.in.a.function.mp4 8.4 MB
03-Variables.and.Operators/25.Exploring.unary.operators.mp4 7.7 MB
02-The.Fundamentals.of.C/03.Writing.a.simple.program.mp4 7.6 MB
02-The.Fundamentals.of.C/06.Reviewing.code.structure.mp4 7.5 MB

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【影视】 GetFreeCourses.Co-Udemy-Become A Learning Machine 2.0 Read 300 Books This Year

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5. PART 4 Learn The Insider Reading Tools/2. Tool #1 How To Cut Your Reading Time In Half.mp4 155.5 MB
6. PART 5 The Five Step Reading Framework/4. Step 3.mp4 140.1 MB
4. PART 3 Create Your Curriculum/2. Warren Buffett On What To Read.mp4 124.8 MB
1. INTRODUCTION Why To Read 300 Books This Year/1. You CAN Read 300 Books This Year.mp4 118.8 MB
7. PART 6 Ingrain What You Learn/2. 5 Simple Steps To Taking Notes On Any Book.mp4 111.1 MB
6. PART 5 The Five Step Reading Framework/5. Step 4 Microwave Books.mp4 104.0 MB
4. PART 3 Create Your Curriculum/4. The 3 Types of Books You Need To Read.mp4 103.7 MB
2. PART 1: The Monster Myth Sabotaging Any Chance of Reading More Books/5. Why Your Book Is A Tool.mp4 95.4 MB
5. PART 4 Learn The Insider Reading Tools/4. Tool #3 How To Double Your Reading Speed.mp4 93.2 MB
2. PART 1: The Monster Myth Sabotaging Any Chance of Reading More Books/3. How A Study On Cab Drivers Shows You EVERYTHING You Need To Know About Reading.mp4 89.0 MB
3. PART 2 Develop Your Reading Ritual/2. 4 Steps To Creating Your Reading Ritual.mp4 88.8 MB
2. PART 1: The Monster Myth Sabotaging Any Chance of Reading More Books/4. The Single Mindset Shift That Permanently Transforms Your Reading.mp4 88.1 MB
9. Final Thoughts/1. What To Do Now.mp4 85.9 MB
4. PART 3 Create Your Curriculum/3. The Father of Modern Medicine on What To Read.mp4 81.8 MB
6. PART 5 The Five Step Reading Framework/3. Steps 1 & 2.mp4 77.1 MB
8. PART 7 Turn Your Reading Into Action/2. How To Turn On The Flow of Action.mp4 75.8 MB
6. PART 5 The Five Step Reading Framework/2. What You Need To Know First.mp4 74.1 MB
7. PART 6 Ingrain What You Learn/1. How To Powerfully Ingrain What You Learn.mp4 71.1 MB
4. PART 3 Create Your Curriculum/5. How To Keep Track of What You Read.mp4 68.9 MB
7. PART 6 Ingrain What You Learn/3. How To Review ANY Book In 20 Minutes or Less.mp4 58.9 MB

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【影视】 Learning.to.Skateboard.in.a.Warzone.If.You're.a.Girl.2019.1080p.WEBRip.x264.AAC.HORiZON-ArtSubs.mkv

收录时间:2021-04-13 文档个数:1 文档大小:1.2 GB 最近下载:2025-05-14 人气:4234 磁力链接

Learning.to.Skateboard.in.a.Warzone.If.You're.a.Girl.2019.1080p.WEBRip.x264.AAC.HORiZON-ArtSubs.mkv 1.2 GB

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【影视】 Complete Machine Learning & Data Science Bootcamp 2021

收录时间:2021-04-14 文档个数:1163 文档大小:21.0 GB 最近下载:2025-05-15 人气:7258 磁力链接

[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

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【影视】 Learning VMware NSX

收录时间:2021-04-14 文档个数:52 文档大小:299.3 MB 最近下载:2022-05-03 人气:18 磁力链接

01 Introduction/001 Welcome.mp4 23.5 MB
05 Expanding the Environment/003 Understanding SNAT.mp4 22.3 MB
05 Expanding the Environment/001 Configuring static routing.mp4 17.9 MB
02 Software-Defined Data Center/005 NSX component overview.mp4 16.8 MB
03 Components of NSX/005 Configuring a distributed logical router.mp4 14.6 MB
05 Expanding the Environment/004 Understanding DNAT.mp4 13.1 MB
03 Components of NSX/004 Configuring logical switches.mp4 12.3 MB
05 Expanding the Environment/002 Configuring OSPF routing.mp4 12.2 MB
02 Software-Defined Data Center/002 Initial requirements and installation.mp4 11.7 MB
02 Software-Defined Data Center/004 Virtual network concepts.mp4 11.2 MB
03 Components of NSX/001 Configuring a controller cluster.mp4 11.1 MB
02 Software-Defined Data Center/003 Leveraging what we already have.mp4 10.7 MB
04 Network Advantages Realized/004 Services available on an Edge.mp4 10.3 MB
03 Components of NSX/002 Confirming controller status on the CLI.mp4 10.0 MB
02 Software-Defined Data Center/001 A software-defined data center (SDDC).mp4 10.0 MB
04 Network Advantages Realized/002 Packet flow with a DLR.mp4 10.0 MB
05 Expanding the Environment/007 Understanding VPN connectivity to NSX.mp4 9.7 MB
03 Components of NSX/003 Preparing the hosts for VXLAN networking.mp4 9.6 MB
05 Expanding the Environment/005 Configuring load balancing.mp4 9.2 MB
04 Network Advantages Realized/003 Understanding Layer 2 bridging.mp4 9.1 MB

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