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  1. Diving into Deep Learning.zip 1.6 GB
  2. Haskell Data Analysis Cookbook: Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes.pdf 2.6 MB
  3. Open Source For You: Improving the IQ of Computing Systems - Understanding the Basics of Machine Learning - An Introduction to H2O December 2016.pdf 25.3 MB
  4. Practical Machine Learning: Tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques.pdf 11.9 MB
  5. What You Need to Know about Machine Learning: Leveraging data for future telling and data analysis.pdf 4.0 MB
  6. Oracle Business Intelligence with Machine Learning: Artificial Intelligence Techniques in OBIEE for Actionable BI.pdf 4.1 MB
  7. Dynamic Fuzzy Machine Learning.pdf 10.2 MB
  8. Deep Learning Prerequisites: Logistic Regression in Python.zip 312.5 MB
  9. Open Source For You: How do Machines Learn - Data Science and Machine Learning October 2017.pdf 25.8 MB
  10. A Gentle Introduction to Deep Learning Using Keras.zip 110.1 MB
  11. Deep Learning with Python.zip 296.0 MB
  12. Machine Learning Projects for .NET Developers.pdf 6.9 MB
  13. Machine Learning, Optimization, and Big Data 2017.pdf 44.8 MB
  14. Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R.pdf 57.0 MB
  15. Machine Learning for Designers.pdf 17.1 MB
  16. Deep Learning Prerequisites: The Numpy Stack in Python.zip 197.7 MB
  17. Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making.pdf 4.8 MB
  18. Machine Learning for Email: Spam Filtering and Priority Inbox.pdf 9.8 MB
  19. Machine Learning with R.pdf 3.3 MB
  20. Machine Learning: A Constraint-Based Approach.pdf 6.7 MB
  21. Visual Knowledge Discovery and Machine Learning.pdf 16.5 MB
  22. Data Science: Deep Learning in Python.zip 554.6 MB
  23. Mastering Machine Learning with R: Master machine learning techniques with R to deliver insights for complex projects.pdf 4.3 MB
  24. Supervised and Unsupervised Learning with Python.zip 382.4 MB
  25. Practical Machine Learning: Innovations in Recommendation.pdf 5.1 MB
  26. Clojure for Machine Learning: Successfully leverage advanced machine learning techniques using the Clojure ecosystem.pdf 16.5 MB
  27. Apache Mahout Essentials: Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout.pdf 8.1 MB
  28. Advanced Statistics for Machine Learning.zip 400.2 MB
  29. Machine Learning: Hands-On for Developers and Technical Professionals.pdf 8.0 MB
  30. Machine Learning, Optimization, and Big Data 2016.pdf 27.0 MB
  31. Machine Learning in Python: Essential Techniques for Predictive Analysis.pdf 13.4 MB
  32. Machine Learning with Spark: Develop intelligent machine learning systems with Spark 2.x 2nd Edition.pdf 20.0 MB
  33. Scaling up Machine Learning: Parallel and Distributed Approaches.pdf 7.8 MB
  34. Machine Learning and Intelligent Communications Part II 2017.pdf 62.9 MB
  35. Machine Learning and Cognition in Enterprises: Business Intelligence Transformed.pdf 5.9 MB
  36. Evaluating Machine Learning Models: A Beginner's Guide to Key Concepts and Pitfalls.pdf 3.7 MB
  37. Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data.pdf 13.5 MB
  38. An Introduction to Machine Learning 2nd Edition.pdf 4.5 MB
  39. Machine Learning and Intelligent Communications Part I 2017.pdf 64.1 MB
  40. Machine Learning Classification Algorithms using MATLAB.zip 708.5 MB
  41. Scala Data Analysis Cookbook: Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes.pdf 17.5 MB
  42. Mastering Machine Learning with MATLAB.zip 579.7 MB
  43. Data Science on the Google Cloud Platform: Implementing Real-Time Data Pipelines, From Ingest to Machine Learning.epub 13.1 MB
  44. Machine Learning for Developers: Uplift your regular applications with the power of statistics, analytics, and machine learning.pdf 24.0 MB