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【影视】 Pearson - Learning Path Scrum Practitioner

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29 - 5.4 Agile Engineering Practices.mp4 123.7 MB
30 - 5.5 Quality Assurance In Agile.mp4 116.2 MB
88 - 11.1 Why, What, And When To Automate.mp4 103.0 MB
72 - 7.2 Issues With Traditional Approaches To Quality Assurance.mp4 99.3 MB
67 - 6.3 Creating Output Documentation.mp4 87.4 MB
58 - 4.4 Product Backlog Grooming.mp4 84.9 MB
19 - 4.4 User Stories.mp4 74.8 MB
42 - 1.3 Agile Scrum Values And Principles Around Requirements Management.mp4 74.1 MB
12 - 3.1 Roles.mp4 73.7 MB
08 - 2.1 Underlying Agile Concepts.mp4 63.8 MB
57 - 4.3 Gathering More Detail.mp4 63.5 MB
89 - 11.2 Dealing With Test Data, Hardware And External Integrations.mp4 63.3 MB
55 - 4.1 Product Backlog Overview.mp4 60.6 MB
153 - 9.2 Determining Value.mp4 59.3 MB
157 - 10.1 Success Stories.mp4 58.6 MB
23 - 4.8 Agile Estimation.mp4 57.5 MB
96 - 13.1 Regression Testing In The Sprint.mp4 57.4 MB
108 - 1.2 Origins In Japan.mp4 55.4 MB
28 - 5.3 Holding The Daily Scrum.mp4 55.3 MB
98 - 13.3 Hardening Sprints.mp4 52.8 MB

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【影视】 Introduction to Machine Learning for Data Science

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Introduction to Machine Learning for Data Science/3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 270.2 MB
Introduction to Machine Learning for Data Science/1. Introduction/5. Secret sauce inside! How to get the most out of this course..mp4 231.6 MB
Introduction to Machine Learning for Data Science/1. Introduction/4. Course Overview.mp4 127.4 MB
Introduction to Machine Learning for Data Science/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
Introduction to Machine Learning for Data Science/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
Introduction to Machine Learning for Data Science/12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
Introduction to Machine Learning for Data Science/13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
Introduction to Machine Learning for Data Science/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
Introduction to Machine Learning for Data Science/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 100.9 MB
Introduction to Machine Learning for Data Science/9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
Introduction to Machine Learning for Data Science/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
Introduction to Machine Learning for Data Science/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
Introduction to Machine Learning for Data Science/2. Core Concepts/9. What is Artificial Intelligence (AI).mp4 94.9 MB
Introduction to Machine Learning for Data Science/12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
Introduction to Machine Learning for Data Science/2. Core Concepts/3. What's Data I can see data everywhere!.mp4 88.6 MB
Introduction to Machine Learning for Data Science/11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
Introduction to Machine Learning for Data Science/4. The Machine Learning Process/4. 2 - Identifying, obtaining, and preparing the right data.mp4 82.3 MB
Introduction to Machine Learning for Data Science/7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
Introduction to Machine Learning for Data Science/4. The Machine Learning Process/5. 3 - Identifying and applying a ML Algorithm.mp4 80.9 MB
Introduction to Machine Learning for Data Science/10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Learning Zoom.zip

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[ FreeCourseWeb.com ] Lynda - Learning Zoom.zip 125.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Statistics for Machine Learning 2020.zip

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[ FreeCourseWeb.com ] Udemy - Statistics for Machine Learning 2020.zip 1.3 GB

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【压缩文件】 Master Linear Algebra for Data Science & Machine Learning DL

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Master Linear Algebra for Data Science & Machine Learning DL.zip 6.9 GB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
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【压缩文件】 Learning French & English listen as RADIO rather watch easy

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Learning French & English listen as RADIO rather watch easy.zip 5.2 GB
Download more courses.url 123 Bytes
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【影视】 [MyFamilyPies] Chloe Temple - Learning Lines With Sis (16.01.2020) rq.mp4

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[MyFamilyPies] Chloe Temple - Learning Lines With Sis (16.01.2020) rq.mp4 331.6 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
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB

猜你喜欢： Python Science Machine 2021 Learning Hands Data

【压缩文件】 Accelerated Learning & Productivity The Compact Guide.rar

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Accelerated Learning & Productivity The Compact Guide.rar 649.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2021

收录时间:2021-04-15 文档个数:841 文档大小:20.8 GB 最近下载:2025-05-13 人气:754 磁力链接

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
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. 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)/8. Feature Engineering.mp4 166.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

猜你喜欢： Complete FreeCourseSite Data Udemy Machine 2021 Learning Science Bootcamp com

【压缩文件】 [ FreeCourseWeb.com ] Lynda - Learning OneNote Online (Office 365) (2020).zip

收录时间:2021-04-15 文档个数:1 文档大小:177.2 MB 最近下载:2025-05-11 人气:1680 磁力链接

[ FreeCourseWeb.com ] Lynda - Learning OneNote Online (Office 365) (2020).zip 177.2 MB

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【影视】 BigButtsLikeItBig.19.01.30.Lela.Star.Learning.The.Hard.Way.XXX.SD.MP4-KLEENEX

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BigButtsLikeItBig.19.01.30.Lela.Star.Learning.The.Hard.Way.XXX.SD.MP4-KLEENEX.mp4 304.2 MB
RARBG_DO_NOT_MIRROR.exe 99 Bytes
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【压缩文件】 [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

收录时间:2021-04-15 文档个数:571 文档大小:6.8 GB 最近下载:2025-05-15 人气:2825 磁力链接

1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Secrets to Learning Bachata Musicality with Guided Practice!.zip

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[ FreeCourseWeb.com ] Udemy - Secrets to Learning Bachata Musicality with Guided Practice!.zip 2.2 GB

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【影视】 Silvia Saige - Mom Makes Learning Fun - S14E3 110920.mp4

收录时间:2021-04-15 文档个数:1 文档大小:579.8 MB 最近下载:2022-02-27 人气:13 磁力链接

Silvia Saige - Mom Makes Learning Fun - S14E3 110920.mp4 579.8 MB

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【影视】 Deep Learning by CloudxLab

收录时间:2021-04-15 文档个数:65 文档大小:10.2 GB 最近下载:2024-07-12 人气:76 磁力链接

41. Introduction to Modern NLP U-bNFXLEnXgqo.mp4 698.6 MB
35. Forecasting a Time Series-MFrK6S1jf88.mp4 603.5 MB
53. Introduction to GANs U-8JFB2OSiq6g.mp4 543.0 MB
57. Introduction to OpenAI Gym U-YjWy062osvU.mp4 434.9 MB
52. Overcomplete autoencoders U-LBYu0ZcezUc.mp4 423.6 MB
19. Faster Optimizers Part 2 (U)-Mn1Gdj4qMMM.mp4 419.6 MB
40. Finding Related Posts using scikit learn U-fpNWeBuQNqI.mp4 371.0 MB
22. Custom Models and Training Part II (U)-aL0dTQwBRo4.mp4 331.3 MB
36. Forecasting Several Time Steps Ahead-eR-5PfZJS-Q.mp4 300.1 MB
21. Custom Models and Training Part I (U)-9WwFay2mxuA.mp4 272.1 MB
33. YOLO (U)-1ex5mluLBAQ.mp4 264.9 MB
43. Sentiment Analysis U-vOAez42BEzg.mp4 237.6 MB
34. Introduction to RNN-Fkgjue48aLc.mp4 233.6 MB
6. Building an Image Classifier with Keras Part I(U)-OG4p0-kmjC4.mp4 226.5 MB
4. Multi Layer Perceptrons and Backpropagation Part II(U)-3W_hq-QfDbc.mp4 223.7 MB
46. Attention Mechanisms U-_PCZ7nR15sI.mp4 213.4 MB
37. Handling Long Sequences-XMSZI9VDanc.mp4 212.6 MB
3. Multi Layer Perceptrons and Backpropagation Part I U-jkssOTH2sIU.mp4 194.3 MB
24. Loading and Preprocessing of Data Part II U-yXIZsFiw2Ik.mp4 188.2 MB
25. Introduction to CNNs and Filters U-zCFuN8p9ejI.mp4 184.0 MB

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