磁力搜索 BT种子搜索利器 免费下载BT种子,超4000万条种子数据
为您找到约 1222 个磁力链接/BT种子,耗时 1 毫秒。
排序: 相关程度 热度 文件大小 添加时间 最近访问

[FreeCoursesOnline.Me] [Skillshare] Data Science and Machine Learning Prerequisite Mathematics [FCO]

  • 12-Statistical Function in Excel.mp4 78.7 MB
  • 0-Measure of central tendency.mp4 26.8 MB
  • 10-Union Intersection of complement of event.mp4 22.4 MB
  • 8-Combinations.mp4 20.9 MB
  • 6-Permutations.mp4 18.7 MB
  • 3-Quartiles and Interquartile range.mp4 15.0 MB
  • 11-Independent and dependent event.mp4 12.7 MB
  • 1-Mean vs Median.mp4 12.2 MB
  • 2-Measure of Dispersion.mp4 11.2 MB
  • 9-Introduction to Probability.mp4 10.1 MB
  • 5-CoVariance and Pearson correlation.mp4 9.7 MB
  • 4-Correlation vs Causality.mp4 7.7 MB
  • 7-Permutations Exercise.mp4 7.4 MB
  • FreeCoursesOnline.Me.html 110.9 kB
  • FTUForum.com.html 102.8 kB
  • Discuss.FTUForum.com.html 32.7 kB
  • tmp files.zip 12.8 kB
  • How you can help Team-FTU.txt 235 Bytes
  • NulledPremium.com.url 163 Bytes
  • Torrent Downloaded From GloDls.to.txt 84 Bytes
[磁力链接] 添加时间:2021-03-26 大小:253.7 MB 最近下载:2025-05-31 热度:925

[Udemy] Statistics for Data Science and Business Analysis (2020)

  • 05 Practical example descriptive statistics/026 Practical example.mp4 168.3 MB
  • 17 Practical example regression analysis/091 Practical example regression analysis.mp4 135.6 MB
  • 09 Practical example inferential statistics/051 Practical example inferential statistics.mp4 107.6 MB
  • 10 Hypothesis testing Introduction/053 The null and the alternative hypothesis.mp4 96.6 MB
  • 10 Hypothesis testing Introduction/055 Establishing a rejection region and a significance level.mp4 86.5 MB
  • 07 Estimators and estimates/037 Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
  • 03 The fundamentals of descriptive statistics/004 The various types of data we can work with.mp4 76.1 MB
  • 08 Confidence intervals advanced topics/044 Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
  • 12 Practical example hypothesis testing/068 Practical example hypothesis testing.mp4 72.7 MB
  • 01 Introduction/001 What does the course cover.mp4 72.0 MB
  • 06 Distributions/033 Understanding the central limit theorem.mp4 65.9 MB
  • 06 Distributions/029 What is a distribution.mp4 64.6 MB
  • 02 Sample or population data/003 Understanding the difference between a population and a sample.mp4 60.9 MB
  • 07 Estimators and estimates/039 Confidence interval clarifications.mp4 59.9 MB
  • 11 Hypothesis testing Lets start testing/059 What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
  • 03 The fundamentals of descriptive statistics/005 Levels of measurement.mp4 57.0 MB
  • 11 Hypothesis testing Lets start testing/057 Test for the mean. Population variance known.mp4 56.9 MB
  • 13 The fundamentals of regression analysis/072 The linear regression model made easy.mp4 53.5 MB
  • 04 Measures of central tendency asymmetry and variability/018 Measuring how data is spread out calculating variance.mp4 53.4 MB
  • 11 Hypothesis testing Lets start testing/062 Test for the mean. Dependent samples.mp4 52.9 MB
[磁力链接] 添加时间:2021-03-26 大小:3.0 GB 最近下载:2025-06-01 热度:2355

[ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip

  • [ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip 1.9 GB
[磁力链接] 添加时间:2021-03-26 大小:1.9 GB 最近下载:2025-06-01 热度:2621

Complete Data Science Training with Python for Data Analysis.rar

  • Complete Data Science Training with Python for Data Analysis.rar 2.4 GB
[磁力链接] 添加时间:2021-03-25 大小:2.4 GB 最近下载:2025-05-31 热度:277

[ FreeCourseWeb.com ] Udemy - Data Science - Complete Alteryx Bootcamp (Hands-on Alteryx).zip

  • [ FreeCourseWeb.com ] Udemy - Data Science - Complete Alteryx Bootcamp (Hands-on Alteryx).zip 2.7 GB
[磁力链接] 添加时间:2021-03-25 大小:2.7 GB 最近下载:2025-05-27 热度:746

[FreeCourseSite.com] Udemy - Data Science Natural Language Processing (NLP) in Python

  • 10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 9. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 146.3 MB
  • 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 82.0 MB
  • 4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 81.5 MB
  • 9. Machine Learning Basics Review/2. (Review) What is Classification.mp4 74.1 MB
  • 9. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 72.7 MB
  • 9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 56.2 MB
  • 9. Machine Learning Basics Review/4. (Review) What is Regression.mp4 52.0 MB
  • 9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 47.0 MB
  • 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 45.7 MB
  • 9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 42.8 MB
  • 3. Build your own spam detector/4. Naive Bayes Concepts.mp4 41.6 MB
  • 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4 39.8 MB
  • 10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 7. Write your own article spinner/2. More about Language Models.mp4 38.4 MB
  • 3. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 32.1 MB
  • 10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
[磁力链接] 添加时间:2021-03-25 大小:1.8 GB 最近下载:2025-05-11 热度:743

[DesireCourse.Net] Udemy - R Programming for Statistics and Data Science 2020

  • 11. Hypothesis Testing/1. Distributions.mp4 112.1 MB
  • 11. Hypothesis Testing/3. Hypothesis testing.mp4 86.2 MB
  • 11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 68.8 MB
  • 11. Hypothesis Testing/7. The P-value.mp4 63.6 MB
  • 11. Hypothesis Testing/5. Test for the mean - population variance known.mp4 61.5 MB
  • 12. Linear Regression Analysis/1. The linear regression model.mp4 60.3 MB
  • 11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4 57.4 MB
  • 6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4 54.3 MB
  • 12. Linear Regression Analysis/5. How to interpret the regression table.mp4 52.7 MB
  • 5. Matrices/18. Lists in R.mp4 52.7 MB
  • 11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4 51.6 MB
  • 12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4 51.6 MB
  • 1. Introduction/1. Ten Things You Will Learn in This Course.mp4 51.3 MB
  • 11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4 46.5 MB
  • 3. The building blocks of R/1. Creating an object in R.mp4 46.1 MB
  • 11. Hypothesis Testing/4. Type I and Type II errors.mp4 43.7 MB
  • 12. Linear Regression Analysis/4. First regression in R.mp4 39.8 MB
  • 12. Linear Regression Analysis/8. R-squared.mp4 36.1 MB
  • 6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4 33.3 MB
  • 5. Matrices/14. Categorical data.mp4 32.3 MB
[磁力链接] 添加时间:2021-03-25 大小:1.9 GB 最近下载:2025-06-01 热度:3381

[FreeCoursesOnline.Me] [Pluralsight] Boost Data Science Productivity with PyCharm [FCO]

  • 06.Exploring Data/0602.Exploring a Dataset.mp4 27.4 MB
  • 06.Exploring Data/0605.SQL Queries.mp4 27.1 MB
  • 04.Writing Better Code/0405.Testing.mp4 23.8 MB
  • 06.Exploring Data/0604.R Scripts.mp4 23.3 MB
  • 03.Understanding Code/0307.Running Code.mp4 23.1 MB
  • 04.Writing Better Code/0403.Demo.mp4 21.6 MB
  • 04.Writing Better Code/0406.Version Control with Git.mp4 19.9 MB
  • 03.Understanding Code/0308.Running Tests.mp4 17.9 MB
  • 06.Exploring Data/0603.Jupyter Notebooks.mp4 17.2 MB
  • 05.Debugging Code/0501.Breakpoints.mp4 16.9 MB
  • 06.Exploring Data/0606.Summary.mp4 16.7 MB
  • 01.Course Overview/0101.Course Overview.mp4 16.1 MB
  • 05.Debugging Code/0505.Remote Debugging.mp4 15.0 MB
  • 04.Writing Better Code/0404.Inspections.mp4 14.1 MB
  • 06.Exploring Data/0601.Scientific Mode.mp4 13.8 MB
  • 03.Understanding Code/0301.Projects.mp4 13.7 MB
  • 02.Getting Started/0204.Customizing PyCharm.mp4 13.2 MB
  • 03.Understanding Code/0302.Searching.mp4 13.2 MB
  • 02.Getting Started/0201.Setting Expectations.mp4 13.1 MB
  • 05.Debugging Code/0503.Stepping.mp4 12.7 MB
[磁力链接] 添加时间:2021-03-25 大小:447.7 MB 最近下载:2025-05-30 热度:899

[DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
  • 29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
  • 37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
  • 43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
  • 17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
  • 23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
  • 27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
  • 13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
  • 26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
  • 16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
  • 37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
  • 39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
  • 43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
  • 36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
  • 21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
  • 29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
  • 37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
  • 18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
  • 34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
  • 40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB
[磁力链接] 添加时间:2021-03-25 大小:12.3 GB 最近下载:2025-05-26 热度:1168

[NulledPremium.com] Big Data Science & Analytics

  • Big Data Analytics - A Hands-On Approach.pdf 113.7 MB
  • Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url 328 Bytes
  • Websites you may like/5. (Discuss.FTUForum.com) FTU Discussion Forum.url 294 Bytes
  • Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286 Bytes
  • Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url 239 Bytes
  • Websites you may like/How you can help Team-FTU.txt 237 Bytes
  • NulledPremium.com.url 163 Bytes
  • Websites you may like/3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url 163 Bytes
[磁力链接] 添加时间:2021-03-25 大小:113.7 MB 最近下载:2025-05-31 热度:1194

[DesireCourse.Net] Udemy - R Programming A-Z™ R For Data Science With Real Exercises!

  • 7. Homework Solutions/2. Homework Solution Section 3 Financial Statement Analysis.mp4 331.4 MB
  • 7. Homework Solutions/4. Homework Solution Section 5 World Trends.mp4 229.1 MB
  • 3. Fundamentals Of R/7. Functions in R.mp4 209.5 MB
  • 4. Matrices/4. Building Your First Matrix.srt 183.0 MB
  • 4. Matrices/4. Building Your First Matrix.mp4 183.0 MB
  • 4. Matrices/12. Basketball Insights.mp4 180.7 MB
  • 4. Matrices/8. Visualizing With Matplot().mp4 180.3 MB
  • 7. Homework Solutions/5. Homework Solution Section 6 Movie Domestic % Gross (Part 1).mp4 171.3 MB
  • 6. Advanced Visualization With GGPlot2/14. Perfecting By Adding Themes.mp4 160.3 MB
  • 7. Homework Solutions/6. Homework Solution Section 6 Movie Domestic % Gross (Part 2).mp4 160.0 MB
  • 6. Advanced Visualization With GGPlot2/13. Coordinates.mp4 158.0 MB
  • 5. Data Frames/4. Exploring your dataset.mp4 156.2 MB
  • 5. Data Frames/10. Building Dataframes.mp4 154.6 MB
  • 6. Advanced Visualization With GGPlot2/11. Statistical Transformations.mp4 150.0 MB
  • 5. Data Frames/6. Basic operations with a Data Frame.mp4 146.6 MB
  • 1. Hit The Ground Running/5. Exercise - Get Excited!.mp4 142.5 MB
  • 4. Matrices/9. Subsetting.mp4 142.3 MB
  • 5. Data Frames/7. Filtering a Data Frame.mp4 135.6 MB
  • 6. Advanced Visualization With GGPlot2/12. Using Facets.mp4 134.5 MB
  • 4. Matrices/11. Creating Your First Function.mp4 130.6 MB
[磁力链接] 添加时间:2021-03-25 大小:7.7 GB 最近下载:2024-07-04 热度:128

[FreeCourseLab.com] Udemy - Tableau 10 A-Z Hands-On Tableau Training For Data Science!

  • 1. It's super easy to get Started/4. Updates on Udemy Reviews.mp4 51.6 MB
  • 7. Advanced Data Preparation/3. Data Interpreter.mp4 39.9 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 29.2 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/6. Data Blending in Tableau.mp4 25.5 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 24.9 MB
  • 8. What's new in Tableau 10/2. The Challenge Startup Expansion Analytics.mp4 24.4 MB
  • 8. What's new in Tableau 10/8. Modeling With Clusters.mp4 24.4 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/5. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 23.7 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 23.1 MB
  • 6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 22.1 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 21.9 MB
  • 8. What's new in Tableau 10/3. Custom Territories Via Groups.mp4 21.9 MB
  • 5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 21.7 MB
  • 9. Conclusion/1. Course overview and roadmap download.mp4 20.9 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 20.1 MB
  • 6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard .mp4 19.7 MB
  • 3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 19.5 MB
  • 4. Maps, Scatterplots, and Your First Dashboard/4. Creating a Scatter Plot, Applying Filters to Multiple Worksheets.mp4 19.4 MB
  • 2. Tableau Basics Your First Bar chart/6. Adding Labels and Formatting.mp4 18.8 MB
  • 3. Time series, Aggregation, and Filters/4. Understanding Aggregation, Granularity, and Level of Detail.mp4 17.6 MB
[磁力链接] 添加时间:2021-03-25 大小:1.0 GB 最近下载:2025-05-06 热度:599

[FreeCourseLab.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/5.1 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!/6. 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
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-25 大小:6.5 GB 最近下载:2024-11-21 热度:58

Курс Data Science и нейронные сети на Python [2020] [Дмитрий Романов]

  • № 1 Введение в нейронные сети/Занятие № 1 Введение в нейронные сети НС PRO июль 2020.mp4 1.6 GB
  • Бонусы.rar 1.5 GB
  • № 8 Прямые и свёрточные нейронные сети для обработки аудиосигналов/genres.rar 1.3 GB
  • № 2 Полносвязные сети, обучающая и тестовая выборки/Занятие № 2 Полносвязные сети, обучающая и тестовая выборки НС PRO июль 2020.mp4 1.3 GB
  • № 6 Нейронные сети для решения задачи регрессии/hh_fixed.csv 615.7 MB
  • № 18 Object Detection (обнаружение объектов)/Занятие № 18 Object Detection (обнаружение объектов) _ PRO июль.mkv 456.5 MB
  • № 21 Интеграция нейронной сети в Production. Часть 1/Занятие № 21 Интеграция нейронной сети в Production. Часть 1 _ НС Pro июль 2020.mkv 441.4 MB
  • № 6 Нейронные сети для решения задачи регрессии/Занятие № 6 Нейронные сети для решения задач регресии НС PRO июль 2020.mkv 414.2 MB
  • № 8 Прямые и свёрточные нейронные сети для обработки аудиосигналов/Занятие № 8 Прямые и свёрточные нейронные сети для обработки аудиосигнало.mkv 400.2 MB
  • № 11 Генеративные состязательные сети/Занятие № 11 Генеративные состязательные сети НС PRO июль 2020.mkv 389.7 MB
  • № 5 Рекуррентные нейронные сети и одномерные свёрточные сети для обработки текстов/Занятие № 5 Рекуррентные НС и одномерные свёрточные сети для обработки текстов НС PRO июль 2020.mkv 387.8 MB
  • № 26 Написание нейронных сетей с библиотекой PyTorch. Часть 2/PRO июль 2020 Занятие № 26 Написание нейронных сетей с библиотекой PyTorch. Часть 2.mkv 381.0 MB
  • № 4 Обработка текстов с помощью нейросетей/Занятие № 4 Обработка текстов с помощью нейронных сетей НС PRO июль 2020.mkv 374.2 MB
  • № 3 Свёрточные нейронные сети/Занятие № 3 Сверточные нейронные сети НС PRO июль 2020.mkv 371.2 MB
  • № 25 Написание нейронных сетей с библиотекой PyTorch. Часть 1/Занятие № 25 Написание нейронных сетей с библиотекой PyTorch. Часть 1 PRO НС июль 2020.mkv 364.3 MB
  • № 7 Полносвязные и рекуррентные нейронные сети для прогнозирования временных рядов/Занятие № 7 Полносвязные и рекуррентные сети для прогнозирования временных рядов НС PRO июль 2020.mkv 364.2 MB
  • № 19 Обучение с подкреплением/Занятие № 19 Обучение с подкреплением НС PRO июль 2020.mkv 363.8 MB
  • № 13 Генерация текста/Занятие № 13 Генерация текста НС PRO июль 2020.mkv 353.4 MB
  • № 10 Вариационные автокодировщики, генеративные модели на базе автокодировщиков/Занятие № 10 Вариационные автокодировщики, генеративные модели на их базе НС PRO июль 2020.mkv 341.3 MB
  • № 15 Введение в генетические алгоритмы/Занятие № 15 Введение в генетические алгоритмы НС PRO июль 2020.mkv 340.2 MB
[磁力链接] 添加时间:2021-03-24 大小:24.3 GB 最近下载:2025-05-31 热度:12518

[Stepik] Big Data для Data Science (2021)

  • 2 Введение в Big Data/2.9 Вебинар №1/1.mp4 221.7 MB
  • 5 Workflow/5.7 Вебинар №4/1.mp4 207.9 MB
  • 3 Apache Hadoop/3.8 Вебинар №2/2.mp4 178.3 MB
  • 4 Apache Spark/4.7 Вебинар №3/1.mp4 171.4 MB
  • 6 Spark ML/6.6 Вебинар №5/1.mp4 165.0 MB
  • 7 BI Tools/7.4 Вебинар №6/1.mp4 72.8 MB
  • Исходные файлы курса/stepik-ds-course-master.zip 44.4 MB
  • 2 Введение в Big Data/2.1 Зачем в Data Science изучать Big Data/2.mp4 38.3 MB
  • 4 Apache Spark/4.1 Архитектура Spark/4.mp4 35.0 MB
  • 2 Введение в Big Data/2.3 Обработка данных/1.mp4 32.9 MB
  • 2 Введение в Big Data/2.1 Зачем в Data Science изучать Big Data/1.mp4 30.7 MB
  • 5 Workflow/5.2 Архитектура хранилищ Data Warehouse vs Data Lake/2.mp4 29.0 MB
  • 5 Workflow/5.2 Архитектура хранилищ Data Warehouse vs Data Lake/1.mp4 27.9 MB
  • 4 Apache Spark/4.2 Spark Core/2.mp4 27.7 MB
  • 4 Apache Spark/4.3 Data Streaming/7.mp4 26.7 MB
  • 2 Введение в Big Data/2.2 Хранение данных/1.mp4 24.6 MB
  • 4 Apache Spark/4.1 Архитектура Spark/3.mp4 23.4 MB
  • 3 Apache Hadoop/3.6 Hadoop - Практика/1.mp4 20.7 MB
  • 5 Workflow/5.3 Облачные решения/2.mp4 20.3 MB
  • 2 Введение в Big Data/2.3 Обработка данных/2.mp4 20.3 MB
[磁力链接] 添加时间:2021-03-24 大小:2.5 GB 最近下载:2025-05-31 热度:7221

[FreeAllCourse.Com] Udemy - Statistics for Data Science and Business Analysis

  • 5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
  • 17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
  • 9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
  • 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
  • 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
  • 7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
  • 3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
  • 8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
  • 12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
  • 1. Introduction/1. What does the course cover.mp4 72.0 MB
  • 6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
  • 6. Distributions/2. What is a distribution.mp4 64.6 MB
  • 2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
  • 7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
  • 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.srt 58.6 MB
  • 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
  • 3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
  • 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
  • 13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
  • 4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
[磁力链接] 添加时间:2021-03-24 大小:3.1 GB 最近下载:2025-06-01 热度:1088

R Programming A-Z R For Data Science With Real Exercises!

  • R Programming A-Z R For Data Science With Real Exercises!.zip 7.1 GB
  • [TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
  • TutsNode.com.txt 63 Bytes
[磁力链接] 添加时间:2021-03-24 大小:7.1 GB 最近下载:2025-06-01 热度:4488

[DesireCourse.Net] Udemy - Statistics for Data Science and Business Analysis

  • 5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
  • 17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
  • 9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
  • 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
  • 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
  • 7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
  • 3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
  • 8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
  • 12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
  • 1. Introduction/1. What does the course cover.mp4 72.0 MB
  • 6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
  • 6. Distributions/2. What is a distribution.mp4 64.6 MB
  • 2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
  • 7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
  • 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
  • 3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
  • 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
  • 13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
  • 4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
  • 11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB
[磁力链接] 添加时间:2021-03-24 大小:3.0 GB 最近下载:2025-05-31 热度:1544

Machine Learning & Data Science Foundations Masterclass

  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/2. What Linear Algebra Is.mp4 139.5 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/3. Matrix Multiplication.mp4 135.4 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/5. Scalars.mp4 100.7 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/6. Matrix Inversion.mp4 92.9 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/6. Vectors and Vector Transposition.mp4 75.3 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/7. Norms and Unit Vectors.mp4 73.9 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/9. Matrix Tensors.mp4 50.6 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/8. Tensor Elimination.mp4 43.0 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/10. Generic Tensor Notation.mp4 41.6 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/7. Tensor Substitution.mp4 39.7 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/3. Linear Algebra Exercise.mp4 39.3 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/3. Basic Tensor Arithmetic, incl. the Hadamard Product.mp4 35.6 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/5. The Dot Product.mp4 34.5 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/5. Exercises on Matrices.mp4 31.3 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/8. Orthogonal Matrices.mp4 31.0 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/1. Data Structures for Algebra/8. Basis, Orthogonal, and Orthonormal Vectors.mp4 29.1 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/4. Symmetric Matrices.mp4 25.0 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/2. Tensor Transposition.mp4 24.6 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/3. Matrix Properties/2. Frobenius Norm.mp4 23.6 MB
  • [TutsNode.com] - Machine Learning & Data Science Foundations Masterclass/2. Common Tensor Operations/4. Tensor Reduction.mp4 19.3 MB
[磁力链接] 添加时间:2021-03-23 大小:1.2 GB 最近下载:2025-05-31 热度:1405

COVID-19 - Viral Issue Crucial Update - the Science, Logic and Data Explained! (08Sep2020)

  • COVID-19 - Viral Issue Crucial Update - the Science, Logic and Data Explained! (08Sep2020).mp4 68.1 MB
  • The Transmission of Epidemic Influenza/The Transmission of Epidemic Influenza - R. Edgar Hope-Simpson.pdf 24.4 MB
  • Lockdown Efficacy Analysis Papers/1. LOCKDOWN ADDED LITTLE OR NOTHING Woods Hole Analysis.pdf 5.5 MB
  • Lockdown Efficacy Analysis Papers/5. LOCKDOWN ADDED LITTLE OR NOTHING R NUMBER Inferring COVID-19 spreading rates and potential change points.pdf 1.5 MB
  • Lockdown Efficacy Analysis Papers/3. LOCKDOWN ADDED LITTLE OR NOTHING NIH Impact of non-pharmaceutical interventions against COVID-19 in Europe.pdf 870.0 kB
  • Lockdown Efficacy Analysis Papers/6. LOCKDOWN ADDED LITTLE OR NOTHING PROF BEN ISRAEL.pdf 620.4 kB
  • Lockdown Efficacy Analysis Papers/4. LOCKDOWN ADDED LITTLE OR NOTHING BRISTOL Did COVID-19 infections decline before UK lockdown.pdf 335.2 kB
  • Lockdown Efficacy Analysis Papers/7. LOCKDOWN ADDED LITTLE OR NOTHING GERMAN KOCH R0 to 1 before lockdown.pdf 275.1 kB
  • Lockdown Efficacy Analysis Papers/2. LOCKDOWN ADDED LITTLE OR NOTHING HOMBURG 2020-Comment-Flaxman Preprint SAGE Neil Ferguson Sham Paper on Lives Saved.pdf 259.6 kB
  • Subs/COVID-19 - Viral Issue Crucial Update - the Science, Logic and Data Explained! (08Sep2020).srt 68.5 kB
[磁力链接] 添加时间:2021-03-23 大小:101.8 MB 最近下载:2025-01-06 热度:324


共62页 上一页 40 41 42 43 44 45 46 47 48 下一页