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【压缩文件】 Tensorflow and Keras For Neural Networks and Deep Learning

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【影视】 Pluralsight - Learning Azure Cosmos DB by Leonard Lobel

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4. Global Distribution/2. Demo Global Applications.mp4 38.0 MB
10. Using the Gremlin API for a Graph Data Model/8. Demo Populating the Airport Graph.mp4 30.7 MB
7. Programming with the .NET SDK/2. Demo Getting Started with the .NET SDK.mp4 28.6 MB
8. Advanced Programming Features/6. Demo Creating an Azure Function for Change Feed Processing.mp4 27.1 MB
10. Using the Gremlin API for a Graph Data Model/10. Demo Multi-model Comic Book Catalog.mp4 26.2 MB
4. Global Distribution/3. Demo Global Distribution.mp4 25.2 MB
5. Data Modeling and Migration/5. Demo Migration with Denormalization.mp4 24.4 MB
1. Introduction/10. Demo Simple Notebook.mp4 23.7 MB
7. Programming with the .NET SDK/12. Demo Custom Indexing.mp4 23.2 MB
9. Using the Table API for a Key-value Data Model/4. Demo Migrating from Azure Table Storage to Cosmos DB.mp4 21.4 MB
5. Data Modeling and Migration/4. Demo Simple Data Migration.mp4 20.7 MB
8. Advanced Programming Features/3. Demo Transactional Batch.mp4 20.2 MB
8. Advanced Programming Features/11. Demo Document Validation and Manipulation Stored Procedure.mp4 19.8 MB
7. Programming with the .NET SDK/7. Demo Stateful and Stateless Paging.mp4 19.6 MB
1. Introduction/6. Demo Creating a Cosmos DB Account.mp4 18.5 MB
6. Querying with SQL/5. Demo Querying a Container.mp4 18.3 MB
10. Using the Gremlin API for a Graph Data Model/5. Demo Creating a Simple Graph.mp4 18.3 MB
6. Querying with SQL/2. Demo Simple SQL Query.mp4 17.9 MB
10. Using the Gremlin API for a Graph Data Model/9. Demo Querying the Airport Graph.mp4 17.6 MB
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【压缩文件】 Machine Learning Projects A-Z Kaggle and Real World Pro

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Machine Learning Projects A-Z Kaggle and Real World Pro.zip 4.9 GB
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【压缩文件】 [ DevCourseWeb.com ] Lynda - Learning Bash Scripting.zip

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【影视】 [Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]

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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB

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【影视】 GetFreeCourses.Me-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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【压缩文件】 Advance Android Programming - learning beyond basics

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Advance Android Programming - learning beyond basics.zip 2.4 GB
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【影视】 Udemy - Learn Spanish - Conversational Spanish Rapid-Learning Method

收录时间:2021-03-07 文档个数:97 文档大小:6.8 GB 最近下载:2025-05-15 人气:930 磁力链接

10. Lesson 9 - Public Transportation - Time of Arrival & Departure/1. Lesson 9 - Part A.mp4 336.5 MB
10. Lesson 9 - Public Transportation - Time of Arrival & Departure/2. Lesson 9 - Part B.mp4 297.1 MB
7. Lesson 6 - Booking a Hotel Room/1. Lesson 6 - Part A.mp4 282.7 MB
4. Lesson 3 - Cash Machine (ATM) & Currency Exchange Office/1. Lesson 3 - Part A.mp4 279.3 MB
8. Lesson 7 - Asking For & Following Directions Part 1/2. Lesson 7 - Part A.mp4 270.8 MB
8. Lesson 7 - Asking For & Following Directions Part 1/3. Lesson 7 - Part B.mp4 262.3 MB
9. Lesson 8 - Asking For & Following Directions Part 2/3. Lesson 8 - Part B.mp4 245.3 MB
3. Lesson 2 - Cost of Things & Payment Methods/3. Lesson 2 - Part B.mp4 236.8 MB
9. Lesson 8 - Asking For & Following Directions Part 2/2. Lesson 8 - Part A.mp4 230.2 MB
7. Lesson 6 - Booking a Hotel Room/2. Lesson 6 - Part B.mp4 226.1 MB
5. Lesson 4 - Hotel Amenities & Services/3. Lesson 4 - Part B.mp4 222.4 MB
4. Lesson 3 - Cash Machine (ATM) & Currency Exchange Office/2. Lesson 3 - Part B.mp4 220.9 MB
6. Lesson 5 - Hotel Room Necessities/3. Lesson 5 - Part B.mp4 218.4 MB
5. Lesson 4 - Hotel Amenities & Services/2. Lesson 4 - Part A.mp4 217.5 MB
3. Lesson 2 - Cost of Things & Payment Methods/2. Lesson 2 - Part A.mp4 210.3 MB
6. Lesson 5 - Hotel Room Necessities/2. Lesson 5 - Part A.mp4 187.6 MB
2. Lesson 1 - Meeting People/1. Lesson 1 - Part A.mp4 148.7 MB
10. Lesson 9 - Public Transportation - Time of Arrival & Departure/3. Lesson 9 - Vocab Review (Video Format).mp4 147.6 MB
2. Lesson 1 - Meeting People/3. Lesson 1 - Part C.mp4 144.3 MB
2. Lesson 1 - Meeting People/4. Lesson 1 - Part D.mp4 142.6 MB

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【其他】 Python for Data Science and Machine Learning Bootcamp

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19. Decision Trees and Random Forests/4. Decision Trees and Random Forest Solutions Part 1.srt 209.9 MB
26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 96.4 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/4. MNIST with Multi-Layer Perceptron - Part 3.srt 95.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
5. Python for Data Analysis - NumPy/3. Numpy Arrays.srt 76.1 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 74.0 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.srt 71.7 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 65.7 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 64.7 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 63.4 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 61.7 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
24. Natural Language Processing/6. NLP Project Solutions.srt 60.5 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 60.5 MB

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【其他】 Anki Japanese Learning Decks

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Core 2k_6k Optimized Japanese Vocabulary.apkg 257.5 MB
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【影视】 LEARNING CURVE HOT MOM AVA ADDAMS TEEN SHAE SUMMERS THREESOME.mp4

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【影视】 [DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing

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7. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
7. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
7. Appendix FAQ/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
7. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.8 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB
6. Practice Makes Perfect/2. Intro to Exercises on Conjugate Priors.mp4 28.9 MB
7. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Bayesian AB Testing/7. Bayesian AB Testing in Code.mp4 20.4 MB
3. Bayes Rule and Probability Review/9. Suggestion Box.mp4 16.9 MB
3. Bayes Rule and Probability Review/7. Confidence Intervals.mp4 16.1 MB

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【影视】 [CourseClub.NET] Coursera - Bayesian Methods for Machine Learning

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007.Latent Dirichlet Allocation/036. LDA M-step & prediction.mp4 98.0 MB
006.Variational inference/028. Mean field approximation.mp4 81.1 MB
007.Latent Dirichlet Allocation/034. LDA E-step, theta.mp4 79.2 MB
011.Gaussian Processes and Bayesian Optimization/062. Derivation of main formula.mp4 73.3 MB
006.Variational inference/029. Example Ising model.mp4 71.5 MB
004.Expectation Maximization algorithm/017. E-step details.mp4 69.5 MB
004.Expectation Maximization algorithm/020. Example EM for discrete mixture, M-step.mp4 68.6 MB
005.Applications and examples/022. General EM for GMM.mp4 65.6 MB
008.MCMC/041. Gibbs sampling.mp4 64.4 MB
001.Introduction to Bayesian methods/004. Example thief & alarm.mp4 62.8 MB
007.Latent Dirichlet Allocation/035. LDA E-step, z.mp4 62.1 MB
004.Expectation Maximization algorithm/019. Example EM for discrete mixture, E-step.mp4 59.1 MB
001.Introduction to Bayesian methods/005. Linear regression.mp4 52.5 MB
009.Variational autoencoders/052. Scaling variational EM.mp4 50.1 MB
008.MCMC/040. Markov Chains.mp4 49.3 MB
008.MCMC/039. Sampling from 1-d distributions.mp4 49.3 MB
008.MCMC/047. MCMC for LDA.mp4 49.0 MB
008.MCMC/038. Monte Carlo estimation.mp4 46.7 MB
008.MCMC/044. Metropolis-Hastings choosing the critic.mp4 44.0 MB
005.Applications and examples/025. Probabilistic PCA.mp4 40.9 MB

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