DS, AI, ML, Books Available

DS, AI, ML, Books/ Guide/ Reports/ Presentations Available

All these books are available in pdf format at this link. I update this page less frequently but keep adding books in the repo. The list below may not contain the name you are looking for. Therefore, it is suggested to visit the link mentioned earlier. This link contains excellent presentations Book, (PPT), Handbook, Report, Articles (ARTC), Book, Booklet, eBook, Notebook, Notes, PAPER, GUIDE, TOC, Syllabus, LINKS, Handbook, Chapter, Tool, BROC – Broacher on Machine Learning, Deep Learning, NLP, Statistics, Reinforcement Learning, GAN. Approx 800 pdf files which inclues 350+ books.

If you want to search all the books on above link then in the search box at above link you can enter “Book”. Similarly if you looking for research paper you can type Paper”. This repository also has some important AI/ML research paper.

Books

  1. 100 Numpy Exercises-NOTEBOOK.pdf
  2. 100 Pandas Exercises-NOTEBOOK.pdf
  3. 11 Data Science Books for Beginners-LINKS.pdf
  4. 97-Things-Every-Data-Engineer-should-know-BOOK.pdf
  5. A Brief Review of Machine Learning Models & Explainability-eBook.pdf
  6. A Collection of 10 free ‘Springer’ Books-LINKS.pdf
  7. A Comprehensive Guide to Machine Learning-BOOK.pdf
  8. A Concrete Introduction to Higher Algebra-BOOK.pdf
  9. A course in Time Series Analysis-eBook.pdf
  10. A practical guide for testing for DEVOPS-eBook.pdf
  11. A Programmers Guide to Data Mining-BOOK.pdf
  12. A-Brief-Introduction-NeuralNetwork-by-DavidKriesel-BOOK.pdf
  13. A-Gentle-Introduction-to-Optimization-eBook.pdf
  14. Advanced Analytics with Spark-BOOK.pdf
  15. Advanced Data Analysis from an Elementary Point of View-BOOK.pdf
  16. Advanced Deep Learning with TensorFlow2-BOOK.pdf
  17. Advanced Python Tips-BOOK.pdf
  18. Agile Glossary-Handbook.pdf
  19. Agile-Handbook.pdf
  20. AI for Data Science-eBOOK.pdf
  21. AI for Everyone-eBook.pdf
  22. Algorithmic-Aspects-of-Machine-Learning-Book.pdf
  23. Algorithms for Decision Making-eBOOK.pdf
  24. All-Of-Statistics-A-Concise-Course-in-Statistical-Inference_by_Larry-BOOK.pdf
  25. An Introduction to Data - Everything You Need to Know about AI and Bigdata-eBOOK.pdf
  26. An Introduction to Statistical Learning with Application in R-BOOK.pdf
  27. An-Introduction-To-Machine-Learning-byMiroslav-BOOK.pdf
  28. An-Introduction-to-Python-Programming-by-ByteSize-eBook.pdf
  29. An-Introduction-to-the-Philosophy-of-Time-and-Space-eBook.pdf
  30. Analytics in a Big Data World The Essential Guide to Data Science and its Applications-BOOK.pdf
  31. An_Introduction_to_Genetic_Algorithms-BOOK.pdf
  32. API lifecycle-eBook.pdf
  33. API Terminology-Handbook.pdf
  34. API_Penetration_Examples-WorkBook.pdf
  35. Approaching (Almost) Any Machine Learning Problem-eBOOK.pdf
  36. Architecture-eBook.pdf
  37. Artificial Intelligence for a Better Future- An Ecosystem Perspective on the Ethics of AI-BOOK.pdf
  38. Artificial Neural Networks with Java - Tools for Building Neural Network Applications-eBook.pdf
  39. Automated Machine Learning Methods, Systems, Challenges-BOOK.pdf
  40. Awesome Visualization Techniques for every dataset-NOTEBOOK.pdf
  41. AWS Admin-HANDBOOK.pdf
  42. AZ 900-NOTEBOOK.pdf
  43. Azure ML-NOTEBOOK.pdf
  44. Azure-ComputerVision_Jun2021-eBOOK.pdf
  45. A_Course_in_Machine_Learning_byHalDaume-BOOK.pdf
  46. Basic Statistics using SQL-NOTEBOOK.pdf
  47. Bayes theorem_A_Visual_Introduction_for_Beginner-eBOOK.pdf
  48. Bayesian Reasoning and Machine Learning-BOOK.pdf
  49. BAYESUVIUS-A_Visual_Dictionary_of_Bayesian _Networks_and_Causal_Inference-BOOK.pdf
  50. Baysian Reasoning & Machine Learning-BOOK.pdf
  51. BD-Planning-for-big-data-CIO-HANDBOOK.pdf
  52. Be the Outlier-eBOOK.pdf
  53. BigBook-Experimentation-Casestudies-PPT.pdf
  54. Bug Bounty Hunting for Web Security-eBook.pdf
  55. Building Intelligent Apps with Cognitive APIs-BOOK.pdf
  56. Business Analyst-HANDBOOK.pdf
  57. Cambridge_International_AS__A_Level_Mathematics_Probability_and_Statistics_1-BOOK.pdf
  58. Chapter1-KocovicRadenkovic-doi-BOOK.pdf
  59. Chatbot-HANDBOOK.pdf
  60. Classic Machine Learning With PyTorch-WorkBook.pdf
  61. Cloud Native Infrastructure with Azure-eBook.pdf
  62. Competitive Programming-in-Python-eBook.pdf
  63. Complete_Machine_learning_Notes_from_Andrew_Ng-NOTEBOOK.pdf
  64. Computer Age Statistical Inference-BOOK.pdf
  65. Computer Vision Algo & Applications-by-Szeliski-BOOK.pdf
  66. Computer Vision Model, Learning and Inference-BOOK.pdf
  67. Data Analysis with Microsoft Excel-eBook.pdf
  68. Data Mesh Book-TOC.pdf
  69. Data Science & Big Data Analytics-eBook.pdf
  70. Data Science and Analytics with Python-eBook.pdf
  71. Data Science Course for beginners-eBOOK.pdf
  72. Data Science for Busines_by_FosterProvost_TomFawcett-BOOK.pdf
  73. Data Science from Scratch-BOOK.pdf
  74. Data Science in Marketing Analytics-BOOK.pdf
  75. Data Structures And Algorithms With Python-BOOK.pdf
  76. Data Visualization in Society-BOOK.pdf
  77. Data-Science-from-Scratch-First-Principles-with-Python-By-Jeol-Grus-eBook.pdf
  78. Data-Science-Theories-Models-Algorithms-and-Analytics-BOOK.pdf
  79. Data-visualization-made-simple-SosulskiKristen-BOOK.pdf
  80. databricks_dbutils-NOTEBOOK.pdf
  81. Data_Analytics-Practical_Guide-BOOK.pdf
  82. Deep Learning Cookbook-BOOK.pdf
  83. Deep Learning for Dummies-BOOK.pdf
  84. Deep Learning for NLP-eBook.pdf
  85. Deep Learning with Azure-BOOK.pdf
  86. Deep Learning with Python-BOOK.pdf
  87. Deep Learning-by-JohnKelleher-MIT-Press-BOOK.pdf
  88. Deep Reinforcement Learning-BOOK.pdf
  89. Deep-Learning-BOOK.pdf
  90. Deep-Learning-with-PyTorch-BOOK.pdf
  91. Deep_Learning_Methods_and_Applications-BOOK.pdf
  92. DesignPatterns-eBook.pdf
  93. Detecting Damaged And Undamaged During Hurricane-NOTEBOOK.pdf
  94. Developmental Neurobiology-BOOK.pdf
  95. Digital Entrepreneurship Impact on Business and Society-BOOK.pdf
  96. Dive into Deep Learning-BOOK.pdf
  97. Docker for Data Science _ Building Scalable and Extensible Data Infrastructure-eBook.pdf
  98. Dynamical Systems with Applications using Python-BOOK.pdf
  99. eBook-How-to-Build-a-Career-in-AI.pdf
  100. EDA the right way-BOOK.pdf
  101. Efficient Learning Machines-BOOK.pdf
  102. Emotions Detection From Text Using LSTM NLP network-NOTEBOOK.pdf
  103. Employee-attrition-Jypter-NOTEBOOK.pdf
  104. Essentials-of-Business-Analytics-BOOK.pdf
  105. Evaluating ML Model-BOOK.pdf
  106. Excel Data Analysis_ Modeling and Simulation-eBook.pdf
  107. Excel-Advanced_Excel_Charts_byTP-BOOK.pdf
  108. Excel-This-isnt-excel-it-is-magic-BOOK.pdf
  109. Excel2010_byTP-BOOK.pdf
  110. Excel_charts_TP-BOOK.pdf
  111. Excel_Data_Analysis_TP-BOOK.pdf
  112. Excel_macros_byTutorialPoint-BOOK.pdf
  113. Excel_power_pivot_byTP-BOOK.pdf
  114. Explaining decisions made with AI-BOOK.pdf
  115. Exploratory Data Analysis-NOTEBOOK.pdf
  116. Exploring Data Science-BOOK.pdf
  117. Exploring_Cloud_Computing-Book.pdf
  118. Feature Engineering Made Easy-BOOK.pdf
  119. Flask_Web_Development_Developing-BOOK.pdf
  120. fluent-python-BOOK.pdf
  121. Foundation of data Science from Microsoft lab-eBook.pdf
  122. Foundations of Reinforcement Learning with Applications in Finance_by_AswinRao-BOOK.pdf
  123. Fundamental of Power Electronics-eBook.pdf
  124. Fundamentals of Deep Learning-byNikhil-BOOK.pdf
  125. Fundamentals of Deep Learning-eBook.pdf
  126. Fundamentals of Project Management-eBook.pdf
  127. Genetic Algorithms and Machine Learning for Programmers-eBook.pdf
  128. Getting Started With Tensorflow-BOOK.pdf
  129. Git Tutorial Book-GUIDE.pdf
  130. GitLab-NOTEBOOK.pdf
  131. Going Pro in Data Science-eBOOK.pdf
  132. Graph Representation Learning-BOOK.pdf
  133. Graph Theory with Applications by BondyMurty-BOOK.pdf
  134. Graph_Algorithms_Spark & Neo4j-BOOK.pdf
  135. Grokking Algorithms-BOOK.pdf
  136. Hand Gesture Recognition Algorithm-NOTEBOOK.pdf
  137. Handbook_of_Formulae_and_Constants-GUIDE.pdf
  138. Hands On Machine Learning with Scikit Learn and TensorFlow-BOOK.pdf
  139. Hands on Machine Learning with Scikit-Learn, Keras & TensorFlow-BOOK.pdf
  140. Hands on Sentiment Analysis with ChatGPT+Classification-NOTEBOOK.pdf
  141. Hands-On Python Tutorial-BOOK.pdf
  142. Hands-on-machine_Gueron-BOOK.pdf
  143. How to write a professional emails in English-eBOOK.pdf
  144. IIOTIndustry4.0-Book.pdf
  145. Image Classification Using Keras and Tensorflow -NOTEBOOK.pdf
  146. Information Theory, Inference, and Learning Algorithms-BOOK.pdf
  147. Intro to Probability for Data Science-BOOK.pdf
  148. Introducing Microsoft Power BI-BOOK.pdf
  149. Introducing MLOps by Orelly-eBOOK.pdf
  150. Introducing MLOPS-How to Scale Machine Learning in the Enterprise-BOOK.pdf
  151. Introduction to algorithm by MIT Press-BOOK.pdf
  152. Introduction to Machine Learning with Python-BOOK.pdf
  153. Introduction to Machine Learning-eBook.pdf
  154. Introduction to Modern Statistics-eBook.pdf
  155. Introduction to Probability and Statistics for Engineers and Scientists-BOOK.pdf
  156. Introduction to Probability for Data Science-BOOK.pdf
  157. Introduction to Scientific Programming with Python-BOOK.pdf
  158. Introduction-to-JSON-eBook.pdf
  159. Introduction_to_algorithms-3rd Edition-BOOK.pdf
  160. Introduction_to_Applied_Linear_Algebra-BOOK.pdf
  161. Introduction_To_Scientific_Programming-with-Python-BOOK.pdf
  162. Introductory-Business-Statistics-with-Interactive-Spreadsheets-BOOK.pdf
  163. Jumpstart Tableau-BOOK.pdf
  164. Latex for complete novices-eBook.pdf
  165. Learn Keras for Deep Neural Networks-BOOK.pdf
  166. Learn Python in One Day and Learn It Well byJamieChan-BOOK.pdf
  167. Learn Python Simple Way-NOTEBOOK.pdf
  168. Learn Python the hard way-eBook.pdf
  169. Learn-Python-in-One-Day-and-Learn-It-Well-eBook.pdf
  170. Learning Apache Spark with Python-eBook.pdf
  171. Learning OpenCV 3 Computer Vision with Python-BOOK.pdf
  172. Learning Pandas-BOOK.pdf
  173. Learning Predictive Analytics with Python-BOOK.pdf
  174. Learning PySpark-BOOK.pdf
  175. Learning SQL book from Stakeoverlow-eBOOK.pdf
  176. Learning to Love Data Science-BOOK.pdf
  177. Learning-Jenkins-eBook.pdf
  178. Lecture Notes in_Machine Learning-byKrishnaChandra-BOOK.pdf
  179. Linear Algebra-BOOK.pdf
  180. Little Book of Business Analysis-REPORT.pdf
  181. Logging and Debugging-NOTEBOOK.pdf
  182. Logistic Regression- A Self-learning Text, Third Edition-BOOK.pdf
  183. Machine Learning and Security_ Protecting Systems with Data and Algorithms-BOOK.pdf
  184. Machine Learning Engineering in Action-eBook.pdf
  185. Machine Learning For Absolute Beginners-eBook.pdf
  186. Machine Learning for Humans-BOOK.pdf
  187. Machine Learning God byStefanStavrev-BOOK.pdf
  188. Machine Learning in Python Essential Techniques-BOOK.pdf
  189. Machine Learning plus Intelligent Optimization-full-BOOK.pdf
  190. Machine Learning Projects in Python-NOTEBOOK.pdf
  191. Machine Learning- Step-by-Step Guide To Implement Machine Learning Algorithms with Python-eBook.pdf
  192. Machine-learning-projects-python-eBook.pdf
  193. Machine-Learning-Yearning-by-AndrewNG-BOOK.pdf
  194. Machine_Learning-NOTEBOOK.pdf
  195. Machine_Learning_1s_Course_for_Engineers_and_Scientists-BOOK.pdf
  196. Make-AI-BI-Work-at-Scale-by-15Leaders-BOOK.pdf
  197. Manning Deep Reinforcement Learning in Action-BOOK.pdf
  198. mastering blockchain-eBook.pdf
  199. Mastering Machine Learning with Python in Six Steps-BOOK.pdf
  200. Mastering Machine Learning with scikit-learn-BOOK.pdf
  201. Mastering Pandas for Finance-BOOK.pdf
  202. Mastering Pandas-BOOK.pdf
  203. Mastering Python For Data Science-BOOK.pdf
  204. Mastering Python Regular Expressions-BOOK.pdf
  205. Mathematical Foundations of Data Sciences-BOOK.pdf
  206. Mathematics for Machine Learning-BOOK.pdf
  207. Mathematics_for_Machine_Learning-BOOK.pdf
  208. Math_of_ML-NOTEBOOK.pdf
  209. Matlab and Mathcad-eBook.pdf
  210. Matlab Deep Learning-eBook.pdf
  211. Microsoft .NET Framework 4.5 Quickstart Cookbook-BOOK.pdf
  212. Microsoft Azure Handbook-GUIDE.pdf
  213. Microsoft System Center - Deploying HyperV with Software Defined Storage and Networking-BOOK.pdf
  214. MicrosoftPress-Azure Machine Learning-eBook.pdf
  215. MicrosoftPress-Data Science with Microsoft SQL Server 2016.-eBook.pdf
  216. MicrosoftPress-Developing Business Intelligence Apps for SharePoint-BOOK.pdf
  217. MicrosoftPress_Azure_Automation-eBOOK.PDF
  218. MicrosoftPress_Azure_Web_Apps_for_Developers-eBook.pdf
  219. MicrosoftPress_Building_Cloud_Apps_with Microsoft_Azure-eBook.pdf
  220. MicrosoftPress_CreatingMobileAppswithXamarinForms-eBook.pdf
  221. MicrosoftPress_Introducing_Azure-ebook.pdf
  222. MicrosoftPress_Introducing_HDInsight-eBook.pdf
  223. MicrosoftPress_Introducing_Microsoft_SQL_Server_2014-ebook.pdf
  224. MicrosoftPress_Introducing_Power_BI-ebook.pdf
  225. MicrosoftPress_Introducing_Windows_10-eBook.pdf
  226. MicrosoftPress_Introducing_Windows_ITPro-ebook.pdf
  227. MicrosoftPress_Managing_Agile_Software_Projects-eBook.pdf
  228. MicrosoftPress_Microsoft_Platform_and_Tools_for_Mobile_App_Development-eBook.pdf
  229. MicrosoftPress_NET_Technology_Guide_for_Business_Applications-eBook.pdf
  230. MicrosoftPress_Programming_Windows_8_Apps_HTML_CSS_JavaScript_2E-eBook.pdf
  231. Mining_Of_Massive_Datasets-BOOK.pdf
  232. ML-for-Beginners-eBook.pdf
  233. Models of Learning and Optimization for Data Scientists-NOTEBOOK.pdf
  234. Modern Stats with R-eBook.pdf
  235. Monetizing Machine Learning- Quickly Turn Python ML Ideas Into Web Applications on the Serverless Cloud-eBook.pdf
  236. MongoDB with Python-NOTEBOOK.pdf
  237. MySQL Notes For Professionals-BOOK.pdf
  238. Natural Language Processing Recipes-BOOK.pdf
  239. Natural_Language_Processing_with_Python-BOOK.pdf
  240. Neo4j_Graph_Algorithms-BOOK.pdf
  241. Neural Networks And Deep Learning-BOOK.pdf
  242. NLP using classification ML-Juypter-NOTEBOOK.pdf
  243. NLP-Panini-Perspective-BOOK.pdf
  244. Numerical Python a Practical Techniques Approach for Industry-BOOK.pdf
  245. Open Data Structures-BOOK.pdf
  246. Open Data Structures_ An Introduction-BOOK.pdf
  247. Pandas - Powerful Python data analysis-NOTEBOOK.pdf
  248. Pandas at one place-NOTEBOOK.pdf
  249. Pandas-10min-NOTEBOOK.pdf
  250. Patterns, Predictions, And Action - A story about Machine Learning-BOOK.pdf
  251. PC Architecture-BOOK.pdf
  252. Plotly-NOTEBOOK.pdf
  253. Postman-NOTEBOOK.pdf
  254. Power shell-eBook.pdf
  255. Practical SQL A Beginner’s Guide to Storytelling with Data-BOOK.pdf
  256. Practical Statistics for Data Scientists-BOOK.pdf
  257. Practical Time Series Analysis Prediction with Statistics and Machine Learning-BOOK.pdf
  258. Practical Web Scraping for Data Science-with-Python-eBook.pdf
  259. Principles of Data Wrangling-BOOK.pdf
  260. Pro Python System Administration-BOOK.pdf
  261. Probability & Statistics with Applications to Computing-BOOK.pdf
  262. Probability and Statistics for Data Science-BOOK.pdf
  263. Probability and Statistics for Engineers and Scientists_bySheldonRoss-BOOK.pdf
  264. Production Machine Learning For Dummies-BOOK.pdf
  265. Programmers Guide to Data Mining The Art of the Numerati-BOOK.pdf
  266. Programming for Computations - Python-eBook.pdf
  267. Programming Hive-BOOK.pdf
  268. Proper Clustering Problem using K-means and Hierarchical-NOTEBOOK.pdf
  269. Python - Intermediate-BOOK.pdf
  270. Python 3 for Absolute Beginners-BOOK.pdf
  271. Python AI Projects for Beginners-8 smart and exciting AI applications-BOOK.pdf
  272. Python Data Science Essentials-BOOK.pdf
  273. Python Data Science Handbook-BOOK.pdf
  274. Python for Data Analysis- Wrangling with Pandas, Numpy and IPython-BOOK.pdf
  275. Python For Everybody-BOOK.pdf
  276. Python For Kids-BOOK.pdf
  277. Python Machine Learning and Deep Learning with scikit-learn, and TensorFlow-BOOK.pdf
  278. Python Machine Learning Cookbook_Practical Solutions from Preprocessing to Deep Learning-BOOK.pdf
  279. Python Notes For Professionals-BOOK.pdf
  280. Python Programming for Beginner-by Michael Daswon-BOOK.pdf
  281. Python programming for everyone-BOOK.pdf
  282. Python Tricks-BOOK.pdf
  283. Python-HANDBOOK.pdf
  284. python3.7-eBook.pdf
  285. Quantum Computing-BOOK.pdf
  286. Quantum Computing_Progress and Prospects-BOOK.pdf
  287. Quantum Mechanics-Fall2021 Lecture Notes by BarakShoshany-BOOK.pdf
  288. Regression Models for Data Science in R-eBook.pdf
  289. Regular Expressions Cookbook-BOOK.pdf
  290. Reinforcement Learning2020-BOOK.pdf
  291. Reinforcement-Learning-An-Introduction-BOOK.pdf
  292. Reinforcement-Learning-eBook.pdf
  293. Research-Methods-in-Psychology-BOOK.pdf
  294. Speech and Language Processing-BOOK.pdf
  295. Springer-400+DataScience-Ebooks-LINKS.pdf
  296. SQL API with Python-NOTEBOOK.pdf
  297. SQL for Data Analysis by CathyTanimura-BOOK.pdf
  298. SQL for Data Science by AntoniaBadia-BOOK.pdf
  299. Statistical Analysis-Handbook.pdf
  300. Statistical foundations of machine learning-BOOK.pdf
  301. Statistics Demystified-BOOK.pdf
  302. Statistics & Machine Learning in Python-BOOK.pdf
  303. Statistics and Machine Learning in Python-BOOK.pdf
  304. Statistics and Machine Learning in Python-eBook.pdf
  305. Statistics for Machine Learning-BOOK.pdf
  306. Statistics Machine Learning in Python-BOOK.pdf
  307. Statistics-Essentials-for-Dummies-eBook.pdf
  308. Statistics_Cartoon_Guide-BOOK.pdf
  309. Statistics_With_Julia_Fundamentals for Data Science, Machine Learning and AI-BOOK.pdf
  310. Supervised Machine Learning - Lecture Notes for Statistical Machine Learning-BOOK.pdf
  311. Supervised Machine Learning -eBook.pdf
  312. Supervised Machine Learning-BOOK.pdf
  313. Supplementary Material for _Probabilistic Machine Learning-Advanced Topics-BOOK.pdf
  314. System Design Basics Handbook-NOTES.pdf
  315. TensorFlow in 1 Day Make your own Neural Network-eBook.pdf
  316. The AI Thought Book by Murat Durmus-PPT.pdf
  317. The Analytics Setup Guidebook-BOOK.pdf
  318. The Art of Machine Learning-Algorithms+Data+R-BOOK.pdf
  319. The Comprehensive Guide to DAX-BOOK.pdf
  320. The Data Revolution_Big Data Open Data Infrastructures and Their Consequences-BOOK.pdf
  321. The Data Science Design Manual-BOOK.pdf
  322. The Data Science Handbook-BOOK.pdf
  323. The Definitive Guide to DAX-NOTEBOOK.pdf
  324. The Elements of Statistical Learning Data Mining, Inference, and Prediction-BOOK.pdf
  325. The Elements of Statistical Learning-BOOK.pdf
  326. The Future of Analytics-BOOK.pdf
  327. The LION Way - Machine Learning plus Intelligent Optimization-Part3-BOOK.pdf
  328. The Mathematics of Multiple Linear Regression-NOTEBOOK.pdf
  329. The Matrix Cookbook-GUIDE.pdf
  330. The Product Manager Handbook-BOOK.pdf
  331. The React Beginner’s-HANDBOOK.pdf
  332. The Ultimate Guide to Protect Management-eBook.pdf
  333. The Ultimate Web3 CFO Guide-NOTEBOOK.pdf
  334. The-365-Data-Science-Booklet-PPT.pdf
  335. The-Big-Book-of-MLOps-PPT.pdf
  336. The-Functional-Art-An-Introduction-to-Information-Graphics-and-Visualization-eBook.pdf
  337. The-Python-Apprentice-by_RoberSmallshire-BOOK.pdf
  338. The-Python-Journeyman-byAustin-BOOK.pdf
  339. The-Python-Master-by-RobertSmallshire-BOOK.pdf
  340. The-Hundred-Page_Machine-Learning-BOOK.pdf
  341. Theory of Deep Learning TextBook-eBook.pdf
  342. The_Data_Science-Booklet-PPT.pdf
  343. The_Essentlials of Risk Management-eBook.pdf
  344. Think Complexity-BOOK.pdf
  345. Think Data Structures-Algorithms-in-Java-eBook.pdf
  346. Think Python How to Think Like a Computer Scientist-BOOK.pdf
  347. Think Stats EDA in Python-eBook.pdf
  348. Think_Stats_Probality_and_Stats_for_Programmers-BOOK.pdf
  349. TimeSeries Forecasting Using fbprophet-NOTEBOOK.pdf
  350. Topics in Reinforcement Learning-eBook.pdf
  351. Transfer Learning - VGG19 Model-NOTEBOOK.pdf
  352. Undergraduate-Texts-in-Discrete-Mathematics-BOOK.pdf
  353. Understanding Machine Learning From Theory to Algorithms-BOOK.pdf
  354. Vectors-HANDBOOK.pdf
  355. VIS-ggplot2-NOTEBOOK.pdf
  356. VIS-Visualization in plotly with R-NOTEBOOK.pdf
  357. Visualize And Modeling Joint Behaviors of Categorical Variables-BOOK.pdf
  358. Writing for computer science 3rd edition-BOOK.pdf
  359. Data Engineering Cookbook-GUIDE.pdf
  360. VIS-Know your data with ggplot2-NOTEBOOK.pdf

Presentations

  1. 10 Keys to AI Success in 2021-by-DataRobot-PPT.pdf
  2. 10 powerful visuals about psychology and life-PPT.pdf
  3. 10-12-design-patterns-PPT.pdf
  4. 13 Data Science Questions for DS Project-PPT.pdf
  5. 19 Slides on AI, AI-Ethics, and XAI - Murat Durmus-PPT.pdf
  6. 33-Ways-to-Tableau-by-Ryan-Sleeper-PPT.pdf
  7. 38 Free Courses on Coursera for Data Science-PPT.pdf
  8. 83+Datasets from Google-PPT.pdf
  9. 9 Best practices every Data Science leader should follow-PPT.pdf
  10. A3-Thinking-Great 40 Infographics for Continuous Improvement-PPT.pdf
  11. Advance Introduction to Machine Learning CMU-PPT.pdf
  12. Advantages & Disadvantages of k-Means and Hierarchical clustering-PPT.pdf
  13. AI_ML_DS_Infographics-BY-Poetter-Compris-PPT.pdf
  14. All about Docker-PPT.pdf
  15. Artificial-Neural-Network-PPT.pdf
  16. A_Comprehensive_Guide_for_Visualization-PPT.pdf
  17. Basics of cloud computing-PPT.pdf
  18. Beginners_guide_to_data_science-_a_twics_guide-PPT.pdf
  19. BigBook-Experimentation-Casestudies-PPT.pdf
  20. Box Plot and Identifying Outliers-PPT.pdf
  21. Certified Kubernetes Security Specialist (CKS)-PPT.pdf
  22. chatGPT for Cybersecurity-Session1-PPT.pdf
  23. CICD-Best-Practices-by-Klokwork-PPT.pdf
  24. Cloud Application Architecture-PPT.pdf
  25. Clustering-and-Machine-Learning-PPT.pdf
  26. Communication Skills for Managers-PPT.pdf
  27. Computer Vision Projects-PPT.pdf
  28. Data Analytics Pipeline-PPT.pdf
  29. Data Integration-Introduction-PPT.pdf
  30. Data Modeling for Data Engineers-PPT.pdf
  31. Data Science Applications & use Cases-PPT.pdf
  32. Data Science Open Toolkit-PPT.pdf
  33. Data science skills-PPT.pdf
  34. Data structures-PPT.pdf
  35. Data Visualization 101-How_to_Design_Charts_and_Graphs-PPT.pdf
  36. Data Visualization in R-PPT.pdf
  37. Data Visualization with R-PPT.pdf
  38. Data Visualization-Advanced_Plotting-PPT.pdf
  39. Data Visualization_Grossberg_lecture1-PPT.pdf
  40. Deep Adversarial Learning for NLP-PPT.pdf
  41. Deep Fake-PPT.pdf
  42. Deep Learning in Medical Image Analysis-PPT.pdf
  43. Deep Learning on Graphs for NLP-PPT.pdf
  44. Designing The SIEM Monitoring Environment-PPT.pdf
  45. Docker & Python-PPT.pdf
  46. DS Portfolio 101-PPT.pdf
  47. Ensemble Learning-PPT.pdf
  48. Feature Engineering-PPT.pdf
  49. Flask API-PPT.pdf
  50. Foundations of Quantum Mechanics-PPT.pdf
  51. GAN-PPT.gslides
  52. GDPR_Developer_Guide-PPT.pdf
  53. Git Vs GitHub-PPT.pdf
  54. GNN-based-Fraud Detection-PPT.pdf
  55. GraphDatabase_ML-PPT.pdf
  56. HypothesisTesting-PPT.pdf
  57. Introduction to Docker and Docker Swarm-PPT.pdf
  58. Introduction to DS-PPT.pdf
  59. Introduction-to-Six-Sigma-PPT.pdf
  60. JavaScript-PPT.pdf
  61. Kaggle State of Machine Learning & Data Science 2021-PPT.pdf
  62. Kubernetes Introduction-PPT.pdf
  63. Kubernetes-PPT.pdf
  64. Lambda-PPT.pdf
  65. Linear Algebra-PPT.pdf
  66. Linear-Regression1-PPT.pdf
  67. Linear-Regression2-PPT.pdf
  68. Loss Functions and Metrics-PPT.pdf
  69. Machine Learning Basic concepts-PPT.pdf
  70. ML applications in marketing-PPT.pdf
  71. ML applications in retail-PPT.pdf
  72. NLI-Tutorial-PPT.pdf
  73. OLAP vs OLTP-PPT.pdf
  74. Outlier Detection-PPT.pdf
  75. Power BI Tutorial-PPT.pdf
  76. Presenting_Data_People_Cant_Ignore-PPT.pdf
  77. PySpark MLLib-PPT.pdf
  78. Python for NLP-PPT.pdf
  79. Query_Optimization_Techniques-PPT.pdf
  80. Severity vs Priority with Examples-PPT.pdf
  81. SGBoost-PPT.pdf
  82. Skewness-PPT.pdf
  83. SQL Nulls-PPT.pdf
  84. State of AI Report-PPT.pdf
  85. Statistical Patterns Recognition-PPT.pdf
  86. Statistics and risk modeling-PPT.pdf
  87. Statistics for Data Analysis-PPT.pdf
  88. STREAMING WITH Publish Subscribe Messaging with Kafka-PPT.pdf
  89. Supply chain cyber security-PPT.pdf
  90. Support Vector Machine-PPT.pdf
  91. Tableau Tips-PPT.pdf
  92. The AI Thought Book by Murat Durmus-PPT.pdf
  93. The Entity Relationship (ER) Model-PPT.pdf
  94. The-365-Data-Science-Booklet-PPT.pdf
  95. The-Big-Book-of-MLOps-PPT.pdf
  96. The-Data-Science-Career-Guide-by365DataScience-PPT.pdf
  97. The_StatQuest_Illustrated_Guide_to_Machine_Learning-PPT.pdf
  98. The_Data_Science-Booklet-PPT.pdf
  99. Top 10 for Data Science-PPT.pdf
  100. Transductive-Learning-Motivation-Model-and-Algorithm-PPT.pdf
  101. Tree Based ML Models-PPT.pdf
  102. TwoPhaseCommitIsEvil-PPT.pdf
  103. Understanding-Life-with-Maths-PPT.pdf
  104. Web3 Glossary-PPT.pdf
  105. What is a Data Warehouse-PPT.pdf
  106. What is Meta Data-PPT.pdf
  107. Word Embedding LSA, Word2Vec, Glove, ELMo-PPT.pdf
  108. XAI - David Gunning (DARPA)-PPT.pdf

Guides

  1. 10 Useful Way To Visualize Your Data-GUIDE.pdf
  2. 100+ AI Use-Cases & Applications-In-depth-Guide.pdf
  3. 14 Powerful Visuals About Psychology & Life-GUIDE.pdf
  4. 180 Days Data Science Study Plan-GUIDE.pdf
  5. 20 Python Libraries-GUIDE.pdf
  6. 2021 Executive Guide to Data Science and AI-GUIDE.pdf
  7. 60 ChatGPT prompts for Data Science-GUIDE.pdf
  8. 9 Googling tips-GUIDE.pdf
  9. 9 HTTP Methods-GUIDE.pdf
  10. A brief guide for Data Cleaning-NOTE.pdf
  11. A Comprehensive Guide to Machine Learning-BOOK.pdf
  12. A Framework For The Ethical Use Of Advanced Data Science in Humanitarian Sector-GUIDE.pdf
  13. A Guide for Ethical Data Science-GUIDE.pdf
  14. A guide to using AI in the public sector-GUIDE.pdf
  15. A practical guide for testing for DEVOPS-eBook.pdf
  16. A Practical Guide to Getting Started with DevOps-REPORT.pdf
  17. A Practical Introduction to Python Programming-GUIDE.pdf
  18. A Programmers Guide to Data Mining-BOOK.pdf
  19. A Visual Introduction to Deep Learning-GUIDE.pdf
  20. Advanced Analytics PowerBI-GUIDE.pdf
  21. Advanced Excel-GUIDE.pdf
  22. Agile estimation-GUIDE.pdf
  23. Amazon Machine Learning-Developer Guide-TOOL.pdf
  24. Analytics in a Big Data World The Essential Guide to Data Science and its Applications-BOOK.pdf
  25. AWS Certified Solutions Architect Associate Exam-GUIDE.pdf
  26. Azure Developer-GUIDE.pdf
  27. A_Comprehensive_Guide_for_Visualization-PPT.pdf
  28. Basic Data Science Termonology-GUIDE.pdf
  29. Basic Guide to SQL-GUIDE.pdf
  30. Beginners Guide to Analytics-GUIDE.pdf
  31. Beginners_guide_to_data_science-_a_twics_guide-PPT.pdf
  32. Blockchain-GUIDE.pdf
  33. Blockchain-Reference-GUIDE.pdf
  34. Bright Data’s Solution Diagram-GUIDE.pdf
  35. Build E2E Data Driven Apps on AWS-GUIDE.pdf
  36. Business Analysis Techniques-GUIDE.pdf
  37. Business-Writing-Style-Guide.pdf
  38. Career guide for product managers-GUIDE.pdf
  39. chatGPT-3 best practices-GUIDE.pdf
  40. chatGPT-PROMPTs-GUIDE.pdf
  41. CICD-GUIDE.pdf
  42. Communications Skills for Managers-GUIDE.pdf
  43. Complete-Guide-to-Next-Level User-GUIDE.pdf
  44. Comprehensive & Practical Inferential Statistics Guide-GUIDE.pdf
  45. Container Technology-GUIDE.pdf
  46. Core Principle of Data Visualization-GUIDE.pdf
  47. Cybersecurity Checklist-GUIDE.pdf
  48. Data Analysis From Scratch With Python-Step-by-Step-GUIDE.pdf
  49. Data Cleaning Resource-GUIDE.pdf
  50. Data Science Tools-GUIDE.pdf
  51. Data Structure and Algorithms1-GUIDE.pdf
  52. Data Visualization-GUIDE.pdf
  53. Data Warehouse-GUIDE.pdf
  54. Data-Career-Skills-Checklist-GUIDE.pdf
  55. Data_Analytics-Practical_Guide-BOOK.pdf
  56. DevOps Complete Package-GUIDE.pdf
  57. Devops Tools-GUIDE.pdf
  58. Digital Image Processing Introduction-GUIDE.pdf
  59. DSI Guide - 15 Key Pandas Concepts For Data Science-GUIDE.pdf
  60. Easy and Quick guide to Statistics of Machine Learning-GUIDE.pdf
  61. Email Sentences and Phrases in Different Situations-GUIDE.pdf
  62. Email Writing Basic Tips for Beginners-GUIDE.pdf
  63. Email-Writing-Tipis-GUIDE.pdf
  64. Enterprise Architecture Practice on a Page-GUIDE.pdf
  65. Ethics & Governance of Artificial Intelligence for Health by WHO-GUIDE.pdf
  66. Evaluation Metrics for Regression Models-GUIDE.pdf
  67. Executive Data Science-GUIDE.pdf
  68. Financial Modeling-GUIDE.pdf
  69. GDPR_Developer_Guide-PPT.pdf
  70. Git Tutorial Book-GUIDE.pdf
  71. Google Cloud Adoption Framework-GUIDE.pdf
  72. Graph Database for Beginners-GUIDE.pdf
  73. Guide to Crack Product Based Companies-GUIDE.pdf
  74. Guide to Machine Learning Pipelines-GUIDE.pdf
  75. Handbook_of_Formulae_and_Constants-GUIDE.pdf
  76. How to Choose the Right Data Visualization-GUIDE.pdf
  77. How to integrate Jenkins with docker-GUIDE.pdf
  78. How to Read the abstract-GUIDE.pdf
  79. How to Write A Business Plan-GUIDE.pdf
  80. How to Write a Thesis- A Working-GUIDE.pdf
  81. How+to-Read-a-Paper-GUIDE.pdf
  82. Introduction to Information Security-Generated by ChatGPT-GUIDE.pdf
  83. Keyboard Shortcuts for Data Scientists-GUIDE.pdf
  84. LaTex-Emoji-Printing-GUIDE.pdf
  85. Latex-Maths-for-Undergrad-GUIDE.pdf
  86. Machine Learning for Everyone-GUIDE.pdf
  87. Machine learning with limited data-GUIDE.pdf
  88. Machine Learning with Python for Everyone-GUIDE.pdf
  89. Machine Learning With Python-GUIDE.pdf
  90. Machine Learning- Step-by-Step Guide To Implement Machine Learning Algorithms with Python-eBook.pdf
  91. Microsoft Azure Handbook-GUIDE.pdf
  92. Microsoft MLOps Maturity Models-GUIDE.pdf
  93. Microsoft Security Best Practices-GUIDE.pdf
  94. MicrosoftPress_NET_Technology_Guide_for_Business_Applications-eBook.pdf
  95. MLOps Guide from Google-GUIDE.pdf
  96. Policy Guide on AI for Children-GUIDE.pdf
  97. PowerBI-Step by step training-GUIDE.pdf
  98. Practical SQL A Beginner’s Guide to Storytelling with Data-BOOK.pdf
  99. Practitioners Guide for MLOPS - Google Cloud-GUIDE.pdf
  100. Practitioners Guide to MLOPS by GoogleCloud-GUIDE.pdf
  101. Probability-GUIDE.pdf
  102. Problem Solving and Critical Thinking-GUIDE.pdf
  103. Product-Backlog-Management-GUIDE.pdf
  104. Programmers Guide to Data Mining The Art of the Numerati-BOOK.pdf
  105. Project Management Methodologies and Frameworks-GUIDE.pdf
  106. Python Tips-GUIDE.pdf
  107. QC Paulinesia - Quantum Computing-GUIDE.pdf
  108. Quick Guide to Commonly Used Statistical Tests-GUIDE.pdf
  109. Reference for choosing right data visualization-GUIDE.pdf
  110. Resume-CoverLetter-Guide-HarvardUniversity-GUIDE.pdf
  111. Resumes and Cover Letters-GUIDE.pdf
  112. ROC Graphs- Notes and Practical Considerations for Researchers-GUIDE.pdf
  113. SCRUMstudy-SBOK-Guide-4th-edition-GUIDE.pdf
  114. ServiceNow-AzureDevops Integration-GUIDE.pdf
  115. Shell-Script-GUIDE.pdf
  116. SQL Tutorial-GUIDE.pdf
  117. Stakeholder Needs Elicitation-GUIDE.pdf
  118. Standard Normal Probabilities-GUIDE.pdf
  119. Statistics_Cartoon_Guide-BOOK.pdf
  120. Super-study-guide-data-science-tools-REPORT.pdf
  121. Supervised Learning-GUIDE.pdf
  122. Tableau-GUIDE.pdf
  123. Talend_DefinitiveGuide_DataGovernance-GUIDE.pdf
  124. The Analytics Setup Guidebook-BOOK.pdf
  125. The Complete Guide to Data Storytelling-GUIDE.pdf
  126. The Comprehensive Guide to DAX-BOOK.pdf
  127. The Data Scientist’s Guide to Spark-GUIDE.pdf
  128. The Definitive Guide to DAX-NOTEBOOK.pdf
  129. The Difference Between Boss VS Leader-GUIDE.pdf
  130. The Field Guided to Data Science-REPORT.pdf
  131. The Matrix Cookbook-GUIDE.pdf
  132. The Ultimate Guide to Effective Data Collection-REPORT.pdf
  133. The Ultimate Guide to Protect Management-eBook.pdf
  134. The Ultimate Web3 CFO Guide-NOTEBOOK.pdf
  135. The Unicode® Standard Version 12.0-Core Specification-GUIDE.pdf
  136. The-Data-Science-Career-Guide-by365DataScience-PPT.pdf
  137. The-Official-Kanban-GUIDE.pdf
  138. The_StatQuest_Illustrated_Guide_to_Machine_Learning-PPT.pdf
  139. Ultimate Guide to Data Cleaning-ARTC.pdf
  140. VSCode Cheetsheet-GUIDE.pdf
  141. Data Engineering Cookbook-GUIDE.pdf
  142. Ultimate Guide to AI, Data Science & Machine Learning-LINKS.pdf

Reports on Usecases

  1. 100+ AI Use-Cases & Applications-In-depth-Guide.pdf
  2. 30 Use Cases for the Metaverse - Q4 2022-REPORT.pdf
  3. A Primer to the 42 Most commonly used ML Algorithms-REPORT.pdf
  4. Computer Vision Projects-PPT.pdf
  5. Data Science Applications & use Cases-PPT.pdf
  6. Data Science Projects-in-Python-REPORT.pdf
  7. Machine Learning Projects in Python-NOTEBOOK.pdf
  8. Machine-learning-projects-python-eBook.pdf
  9. Manual For Data Science Projects-NOTES.pdf
  10. ML Projects-270+Projects-REPORT.pdf
  11. ML Projects-817-Projects-REPORT.pdf
  12. Python AI Projects for Beginners-8 smart and exciting AI applications-BOOK.pdf
  13. Quantum computing Emerging ecosystem & Industry use cases-REPORT.pdf

Books/PPTs/Guides on Ethics in AI

  1. 19 Slides on AI, AI-Ethics, and XAI - Murat Durmus-PPT.pdf
  2. A Framework For The Ethical Use Of Advanced Data Science in Humanitarian Sector-GUIDE.pdf
  3. A Guide for Ethical Data Science-GUIDE.pdf
  4. AI An Introduction to the Legal, Policy & Ethical Issues-REPORT.pdf
  5. Artificial Intelligence for a Better Future- An Ecosystem Perspective on the Ethics of AI-BOOK.pdf
  6. Ethical Considerations and Statistical Analysis of Industry Involvement in ML Research-REPORT.pdf
  7. Ethics & Governance of Artificial Intelligence for Health by WHO-GUIDE.pdf

Some Useful Articles

  1. Advancing mathematics by guiding human intuition with AI-ARTC.pdf
  2. Cloud Choices for Microsoft Project 2013 and 2010-F-3.2013-ARTC.pdf
  3. Data Driven Creating a Data Culture-ARTC.pdf
  4. Data Mining Process, Techniques, Tools-ARTC.pdf
  5. Data Warehouse Concepts-ARTC.pdf
  6. How to forecast Time Series Data using Deep Learning-ARTC.pdf
  7. How-data-science-is-transforming-health-care-ARTC.pdf
  8. How-to-Create-an-AI-Center-of-Excellence-for-Enterprise-ARTC.pdf
  9. Learning the parts of Objects by Non-negative Matrix Factorization-ARTC.pdf
  10. Linear Algebra- a Powerful Tool in Data Science-ARTC.pdf
  11. MLOps and data versioning in ML Projects-ARTC.pdf
  12. OLTP vs OLAP-ARTC.pdf
  13. Over 100 Data and Analytics Predictions Through 2025-ARTC.pdf
  14. Practical Statistics_Visualization With Python _ Plotly-ARTC.pdf
  15. The 5 Feature Selection Algorithms every Data Scientist should know-ARTC.pdf
  16. The Art of Effective Visualization of Multi-dimensional Data-ARTC.pdf
  17. The Next Level of Data Visualization in Python-ARTC.pdf
  18. Ultimate Guide to Data Cleaning-ARTC.pdf
  19. VIS-Introducing Plotly Express - Plotly-ARTC.pdf
  20. What Is Data Warehousing-ARTC.pdf
  21. What is Dimensional Model-ARTC.pdf
  22. What is Exploratory Data Analysis-ARTC.pdf
  23. What is OLAP-ARTC.pdf

Reports on AI Topics

  1. 2018 - Namami-Digitiation-REPORT.pdf
  2. 2022-AI-Index-Report_Master-REPORT.pdf
  3. 23 Augmented Reality Trends to Keep an Eye on for 2023-REPORT.pdf
  4. 30 Use Cases for the Metaverse - Q4 2022-REPORT.pdf
  5. 50 YearsDataScience-REPORT.pdf
  6. 50-Ways-Impact-Business-AI-RapidMiner-REPORT.pdf
  7. A list with over 150 Biases (Cognitive, Social, & Memory)-REPORT.pdf
  8. A Practical Guide to Getting Started with DevOps-REPORT.pdf
  9. A Primer to the 42 Most commonly used ML Algorithms-REPORT.pdf
  10. Agile-AI-REPORT.pdf
  11. AI An Introduction to the Legal, Policy & Ethical Issues-REPORT.pdf
  12. AI and Education-REPORT.pdf
  13. AI, Human Rights, Democracy, and the Rule of Law-REPORT.pdf
  14. An Introduction to Cloud Databases-REPORT.pdf
  15. Attacks on TCP-REPORT.pdf
  16. Baseline Cyber Security Controls-REPORT.pdf
  17. Beauty in Mathematics-REPORT.pdf
  18. benefits of metaverse-REPORT.pdf
  19. Best Practices for ML Engineering-REPORT.pdf
  20. Big Data Analytics Overview-REPORT.pdf
  21. Big Data and AI Strategies-Machine Learning and Alternative Data Approach to Investing-REPORT.pdf
  22. Big Data-Casestudy Collection-REPORT.pdf
  23. Bigdata-Hadoop and Spark-Performance-for-the-enterprise-REPORT.pdf
  24. Building Data Science Teams-REPORT.pdf
  25. Cloud Design Patterns-REPORT.pdf
  26. Comet-Standardizing-ML-Experiment-REPORT.pdf
  27. Communication Skills-REPORT.pdf
  28. Complete-Data Structures and Algorithms Roadmap-REPORT.pdf
  29. Computing Neural Network Gradients-REPORT.pdf
  30. Cost of Data Breach Study 2020 byIBMSecurity-REPORT.pdf
  31. Cyber Incident Response Plan Security Risk Management-REPORTS.pdf
  32. Data Governance Clinic-REPORT.pdf
  33. Data Quality Fundamentals-REPORT.pdf
  34. Data Science Projects-in-Python-REPORT.pdf
  35. Data Visualization-storytelling-REPORT.pdf
  36. Data Visualization1- How to Pick the Right Chart Type-REPORT.pdf
  37. Data Visualization2- How to Pick the Right Chart Type-REPORT.pdf
  38. Demo Model Card-REPORT.pdf
  39. ENISA Good Practices for Security of IoT-REPORT.pdf
  40. Ethical Considerations and Statistical Analysis of Industry Involvement in ML Research-REPORT.pdf
  41. Foundations of Data Science-REPORT.pdf
  42. Fundamental Value in Crypto-REPORT.pdf
  43. fundamentals-of-mlops-REPORT.pdf
  44. Getting Analytics Right-REPORT.pdf
  45. Getting Your First Job in Data Science-REPORT.pdf
  46. Getting_Started-with-Artificial_Intelligence-REPORT.pdf
  47. Git Notes For Professionals-REPORT.pdf
  48. Governing The Metaverse-REPORT.pdf
  49. Hierarchical Clustering Dendrograms-REPORT.pdf
  50. Improving ICS Cybersecurity with Defense-In-Depth Strategies-REPORT.pdf
  51. Intech-Machine Learning Algorithms, Models and Applications-REPORT.pdf
  52. Introduction-to-Data-Science-REPORT.pdf
  53. Knowledge_Graphs_Data_in_Context_Responsive-REPORT.pdf
  54. Little Book of Business Analysis-REPORT.pdf
  55. Machine Learning From Scratch-REPORT.pdf
  56. Machine Learning Observability Checklist-REPORT.pdf
  57. Machtematics for Machine Learning-REPORT.pdf
  58. Math of Deep Learning Neural Networks-REPORT.pdf
  59. Metaverse-MarketReport-REPORT.pdf
  60. Microsoft Power BI-REPORT.pdf
  61. Migrating BigData Analytics into the Cloud-REPORT.pdf
  62. ML for Absolute Beginners-REPORT.pdf
  63. ML Projects-270+Projects-REPORT.pdf
  64. ML Projects-817-Projects-REPORT.pdf
  65. MLOps in Microsoft-REPORT.pdf
  66. Move your data science to production-Saturn Cloud-REPORT.pdf
  67. National AI Strategies and Human Rights- A Review-REPORT.pdf
  68. Policy-brief-Crypto-web3-and-the-metaverse-REPORT.pdf
  69. Principles of Data Analysis By Prasenjit Saha-REPORT.pdf
  70. Quality Measuring Tools-REPORT.pdf
  71. Quantum computing Emerging ecosystem & Industry use cases-REPORT.pdf
  72. R Programming for ANY Team-REPORT.pdf
  73. Real Time BigData Analytics Emerging Architecture-REPORT.pdf
  74. Regulate to Innovate-REPORT.pdf
  75. Relevance and impact of AI for company law-REPORT.pdf
  76. Review of Probability Theory-REPORT.pdf
  77. Robustness and Explainability of Artificial Intelligence-REPORT.pdf
  78. Semantic Layer for Data Analytics-REPORT.pdf
  79. Social-Anxiety-And-Social-PhobiaIn-REPORT.pdf
  80. Starting a Career in Data Science-REPORT.pdf
  81. State of AI Report-PPT.pdf
  82. Statistical Modeling- The Two Cultures-REPORT.pdf
  83. Super-study-guide-data-science-tools-REPORT.pdf
  84. TGN-Temporal Graph Networks for Dynamic Graphs-REPORT.pdf
  85. The AI revolution in scientific research-REPORT.pdf
  86. The Field Guided to Data Science-REPORT.pdf
  87. The state of DevOps Tools-REPORT.pdf
  88. The Ultimate Guide to Effective Data Collection-REPORT.pdf
  89. The_5_most_influential_visuals-REPORT.pdf
  90. Tokenization of Infrastructure A blockchain-REPORT.pdf
  91. Top 12 AI Tools & Frameworks You Need to Know-REPORT.pdf
  92. Top 17 Must-Read AI Papers of 2022-REPORT.pdf
  93. Top IT Companies list-REPORT.pdf
  94. Towards Responsible Data Practices for Machine Learning in India-Health and Agriculture-REPORT.pdf
  95. Understanding bias in facial recognition technologies-REPORT.pdf
  96. Use of Sanskrit for Natural Language Processing-REPORT.pdf
  97. Value-creation-in-the-metaverse-REPORT.pdf
  98. VIS-Building_effective_dashboards-REPORT.pdf
  99. Web3 beyond the hype-REPORT.pdf
  100. Web3.0-Internet-of-the-New-Era-REPORT.pdf

Free Online Books

  1. Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville (05/07/2015)
  2. Neural Networks and Deep Learning by Michael Nielsen (Dec 2014)
  3. Deep Learning by Microsoft Research (2013)
  4. Deep Learning Tutorial by LISA lab, University of Montreal (Jan 6 2015)
  5. neuraltalk numpy-based RNN/LSTM implementation by Andrej Karpathy
  6. Artificial Intelligence: A Modern Approach
  7. Deep Learning in Neural Networks: An Overview
  8. Artificial intelligence and machine learning: Topic wise explanation 
  9. Grokking Deep Learning for Computer Vision
  10. Dive into Deep Learning – numpy based interactive Deep Learning book