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- 【影视】 [DesireCourse.Net] Udemy - Data Science and Machine Learning Bootcamp with R
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收录时间:2021-03-09
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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
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
1. Course Introduction/4.1 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
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.6 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
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- 【影视】 Cluster Analysis & Unsupervised Machine Learning in R
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收录时间:2021-03-10
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[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/9. Applied Example unsupervised K-means learning for mapping applications/2. Import images and their visualization in Earth Engine.mp4 148.8 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/2. Software used in this course/5. Interface of Google Earth Engine Code Editor & Explorer.mp4 133.3 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/5. Unsupervised Learning K-Means Clustering/3. K-means clustering Application to email marketing.mp4 116.1 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/9. Applied Example unsupervised K-means learning for mapping applications/3. Unsupervised K-means satellite image analysis in Earth Engine for mapping.mp4 108.7 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/6. More Unsupervised Clustering techniques Hands-On/1. Starting with Fuzzy K-means in R.mp4 107.1 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/5. Unsupervised Learning K-Means Clustering/5. Model-based Unsupervised Clustering in R.mp4 78.2 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/8. Independent Project in Cluster Analysis based on Case Study/2. Project Assignment.mp4 71.6 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/9. Applied Example unsupervised K-means learning for mapping applications/1. Understanding using satellite images for mapping tasks short introduction.mp4 66.4 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/6. More Unsupervised Clustering techniques Hands-On/2. Entropy Weighted K-Means in R.mp4 64.9 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/7. Performance Evaluation of Unsupervised Learning Clustering Algorithms in R/2. Selecting the number of clusters for unsupervised Clustering methods (K-Means).mp4 62.2 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/8. Independent Project in Cluster Analysis based on Case Study/1. Introduction to Case Study.mp4 60.9 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/3. R Crash Course - get started with R-programming in R-Studio/5. Lab data types and data structures in R.mp4 50.4 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/2. Software used in this course/3. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/1. Introduction/2. What is Machine Leraning and it's main types.mp4 49.1 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/2. Software used in this course/4. Sign up for Google Earth Engine (needed for your projects later in the course).mp4 47.9 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/7. Performance Evaluation of Unsupervised Learning Clustering Algorithms in R/1. How to assess a Clustering Tendency of the dataset.mp4 44.4 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/2. Software used in this course/2. How to install R and RStudio in 2020.mp4 40.6 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/7. Performance Evaluation of Unsupervised Learning Clustering Algorithms in R/3. Assessing the performance of unsupervised learning (clustering) algorithms.mp4 40.3 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/3. R Crash Course - get started with R-programming in R-Studio/7. Functions in R - overview.mp4 34.8 MB
[TutsNode.com] - Cluster Analysis & Unsupervised Machine Learning in R/3. R Crash Course - get started with R-programming in R-Studio/10. Read Data into R.mp4 33.5 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing
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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.5 MB
4. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 71.2 MB
5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.9 MB
5. Bayesian AB Testing/12. UCB1 Theory.mp4 58.5 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
3. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 57.0 MB
5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.8 MB
5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.mp4 54.5 MB
4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 50.5 MB
7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.srt 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
4. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 48.5 MB
5. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 46.1 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 45.9 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
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- 【影视】 2020 AWS SageMaker, AI and Machine Learning - With Python
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2020 AWS SageMaker, AI and Machine Learning - With Python/11 E9 SageMaker HyperParameter Tuning/104 Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/085 Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/03 E9 Machine Learning Concepts/019 E9 Data Types - How to handle mixed data types.mp4 106.9 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/04 E9.7 Model Performance Evaluation/033 Multiclass Classifier.mp4 104.8 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/05 2020 SageMaker Service Overview/037 DataFormat.mp4 97.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/08 SageMaker - Factorization Machines/078 Demo - Movie Recommender Data Preparation.mp4 95.1 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/083 DeepAR Training and Inference Formats.mp4 93.8 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/04 E9.7 Model Performance Evaluation/025 Regression Model Performance.mp4 91.1 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/03 E9 Machine Learning Concepts/020 E9 Introduction to Python Notebook Environment.mp4 89.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/12 2020 Artificial Intelligence (AI) Services/118 7. Amazon Rekognition.mp4 89.0 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/01 Introduction and Housekeeping/008 2020 Configure IAM Users Setup Command Line Interface (CLI).mp4 88.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/10 E9 Integration Options for Model Endpoint/101 Microservice - API Gateway Lambda to Endpoint.mp4 88.2 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/06 E9 XGBoost - Gradient Boosted Trees/044 E9 Lab - Training Simple Regression.mp4 87.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/03 E9 Machine Learning Concepts/021 E9 Introduction to working with Missing Data.mp4 85.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/086 Demo - Bike Rental Model Training.mp4 81.0 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/10 E9 Integration Options for Model Endpoint/097 Client to Endpoint using SageMaker SDK.mp4 80.7 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/09 SageMaker - DeepAR Time Series Forecasting/082 Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/10 E9 Integration Options for Model Endpoint/100 Microservice - Lambda to Endpoint.mp4 77.8 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/15 2020 Storage for Servers/156 2020 Elastic Block Store (EBS).mp4 77.4 MB
2020 AWS SageMaker, AI and Machine Learning - With Python/01 Introduction and Housekeeping/003 2020 - Overview - AWS Machine Learning Specialty Exam.mp4 73.6 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python
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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB
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- 【影视】 Hot Little Sexy Teen Fucking Learning Threesome Hardcore From Grandparents XXX 1811 Porn Movies WEBRip x264 with sample ~ rDX ~
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Hot Little Sexy Teen Fucking Learning Threesome Hardcore From Grandparents XXX 1811 Porn Movies WEBRip.mkv 719.0 MB
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- 【影视】 [FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass
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5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
4. NumPy/2. NumPy Arrays.mp4 115.0 MB
5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB
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- 【影视】 VIPissy.21.03.09.Amaris.And.Leidy.De.Leon.Learning.From.Leidy.XXX.1080p.MP4-WRB[rarbg]
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vipissy.21.03.09.amaris.and.leidy.de.leon.learning.from.leidy.mp4 1.5 GB
vipissy.21.03.09.amaris.and.leidy.de.leon.learning.from.leidy.nfo 543 Bytes
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- 【影视】 Lynda - Learning Windows Terminal [AhLaN]
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2 - 1. Working with Windows Terminal/5 - Customizing your profiles.mp4 19.5 MB
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1 - Introduction/1 - Windows Terminal.mp4 4.7 MB
2 - 1. Working with Windows Terminal/3 - Interacting with Windows Terminal.mp4 4.2 MB
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3 - Conclusion/7 - Next steps.mp4 1.5 MB
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- 【影视】 Learn Deep Learning Practical Real World Projects
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[TutsNode.com] - Learn Deep Learning Practical Real World Projects/3. Leaf Disease Detector- Deep learning/6. Compile the model.mp4 116.5 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/5. Car Brand Detector - Deep learning/6. Train the model.mp4 93.4 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/4. Traditional dance classification- Deep learning/6. Creating the model.mp4 85.6 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/5. Car Brand Detector - Deep learning/4. Creating the model.mp4 84.3 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/3. Leaf Disease Detector- Deep learning/2.1 Tomato disease dataset.zip 79.5 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/6. Tweet Analysis Using RNN - Deep learning/7. Creating the model.mp4 79.2 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/5. Car Brand Detector - Deep learning/5. Compile the model.mp4 78.7 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/2. Live Video To Sketch - Deep learning/5. Completing the function.mp4 77.7 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/3. Leaf Disease Detector- Deep learning/5. Data processing and creating model.mp4 75.7 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/3. Leaf Disease Detector- Deep learning/4. Creating inception layer.mp4 69.1 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/6. Tweet Analysis Using RNN - Deep learning/6. Data Preprocessing.mp4 61.0 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/6. Tweet Analysis Using RNN - Deep learning/4. Understanding the data.mp4 60.3 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/2. Live Video To Sketch - Deep learning/4. Write function to capture video.mp4 55.4 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/3. Leaf Disease Detector- Deep learning/7. Training the model.mp4 53.7 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/2. Live Video To Sketch - Deep learning/3. Understanding the code.mp4 50.9 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/3. Leaf Disease Detector- Deep learning/3. Importing Libraries and dataset.mp4 50.6 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/4. Traditional dance classification- Deep learning/8. Train the model.mp4 47.9 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/5. Car Brand Detector - Deep learning/3. Importing the data.mp4 46.1 MB
[TutsNode.com] - Learn Deep Learning Practical Real World Projects/4. Traditional dance classification- Deep learning/7. Complile the model.mp4 45.2 MB
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- 【影视】 SAP Web Dynpro for ABAP - The Learning Guide
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04 Web Dynpro User Interface/001 Defining the View Layout Part 1.mp4 97.6 MB
04 Web Dynpro User Interface/003 Data Binding and Controlling UI Element Behavior.mp4 73.3 MB
02 Web Dynpro Controllers/002 Explaining Web Dynpro Controllers Part 2.mp4 71.9 MB
04 Web Dynpro User Interface/002 Defining the View Layout Part 2.mp4 62.7 MB
04 Web Dynpro User Interface/004 Using Composite UI Elements.mp4 59.1 MB
06 Internationalization and Messages/004 Reporting Messages.mp4 59.0 MB
12 Bonus Section/004 Bonus Demo Implement an Online Adobe Interactive Form with Web Dynpro Part 2.mp4 57.2 MB
03 Web Dynpro Context/003 Context Mapping.mp4 55.4 MB
01 Introduction to Web Dynpro/006 Using View Assemblies.mp4 54.6 MB
01 Introduction to Web Dynpro/005 Navigating Between Views.mp4 54.0 MB
03 Web Dynpro Context/002 Setting Context Node Properties.mp4 53.9 MB
07 Value Help, Semantic Help and Keyboard Access/004 Providing Semantic Help.mp4 51.7 MB
01 Introduction to Web Dynpro/004 Explaining Web Dynpro Architecure Part 2.mp4 51.3 MB
01 Introduction to Web Dynpro/002 Outlining the Benefits of Web Dynpro.mp4 51.3 MB
10 Adaptation Techniques/007 Modifying the UI at Runtime.mp4 49.9 MB
04 Web Dynpro User Interface/005 Demo Table and Service Calls.mp4 49.0 MB
01 Introduction to Web Dynpro/007 Explaining Web Dynpro Architecture and Relationships Between Entities.mp4 46.6 MB
04 Web Dynpro User Interface/007 Demo Develop Static Context Menus.mp4 43.7 MB
11 Additional Topics/001 Using SAP List Viewer ALV in Web Dynpro for ABAP.mp4 42.8 MB
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- 【影视】 [FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB
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- 【影视】 [FreeCoursesOnline.Me] UDACITY - Machine Learning Scholarship Program for Microsoft Azure
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Part 01-Module 01-Lesson 03_Model Training/04. 2 01 11983 Udacity ML Course FINAL V2-2UF0Lo3NDt0.mp4 277.4 MB
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