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Machine Learning: Deep Learning, Text Analytics, and Reinforcement Learning with Big Data

4 דירוג

3

משך
3H 51דקות
שפות
אנגלית
Format
קטגוריה

עיון

Book 1: The lofty expectations about machine learning and deep studies and projects have skyrocketed, and yet, there is so much left to be said about the methods that trigger the higher-functioning corners of the human neural networks. With so many data and investments on the line, how can we deepen our understanding of these subjects? That is where this guide will take you to the next level. It touches on exactly those problems and methods that optimize your financing and comprehension of the little details that often get overlooked.

Book 2: Big data can tremendously improve a company’s performance. Many company owners or accountants don’t look at all the numbers, misread the numbers, or don’t know how to scale faster and more effectively.

Book 3: Dive deeper into the world of mining for or analyzing text. Become more acquainted with the guiding principles of writing in a certain way, understanding language and tone in specific texts, and using existing models to analyze each and every word in relation to each other.

© 2020 A to Z Publishing (ספר מוקלט ): 9781094231723

תאריך הוצאה

ספר מוקלט : 11 במרץ 2020

תגיות

אחרים גם נהנו...

  1. Deep Learning: Guide to Machine Learning and Artificial Intelligence David Feldspar
  2. Advances in Financial Machine Learning Marcos Lopez de Prado
  3. Machine Learning Introbooks Team
  4. Deep Learning: Machine Learning and Data Analytics Explained David Feldspar
  5. Machine Learning: Understanding Big Data, Text Analytics, and Deep Learning David Feldspar
  6. The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity Byron Reese
  7. Machine Learning: Artificial Intelligence and Deep Learning in a Big Data Driven Society David Feldspar
  8. Data Science John D. Kelleher
  9. Artificial Intelligence: Machine Learning, Deep Learning, and Automation Processes John Adamssen
  10. The Creativity Code: How AI is learning to write, paint and think Marcus du Sautoy
  11. The Formula: How Algorithms Solve all our Problems... and Create More Luke Dormehl
  12. Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns Rob Thomas
  13. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World Karim R. Lakhani
  14. Python Machine Learning for Beginners: Perfect guide on How to Become a Successful Data Scientist Alex Campbell
  15. Artificial Intelligence: Data Analytics and Robot Learning in Practice and Theory John Cobar
  16. Uberland: How Algorithms Are Rewriting the Rules of Work Alex Rosenblat
  17. Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics Gary Smith
  18. Python Machine Learning: Complete and Clear Introduction to the Basics of Machine Learning with Python. Comprehensive Guide to Data Science and Analytics. Alex Campbell
  19. What We Cannot Know: Explorations at the Edge of Knowledge Marcus du Sautoy
  20. Deep Learning John D. Kelleher
  21. Coding for Beginners Using Python: A HANDS-ON, PROJECT-BASED INTRODUCTION TO LEARN CODING WITH PYTHON MARK MATTHES AND ERIC LUTZ
  22. The Deep Learning Revolution Terrence J. Sejnowski
  23. Python: - The Bible- 3 Manuscripts in 1 book: Python Programming for Beginners - Python Programming for Intermediates - Python Programming for Advanced Maurice J. Thompson
  24. How Smart Machines Think Sean Gerrish
  25. Artificial Intelligence For Dummies Luca Massaron
  26. Coders: Who They Are, What They Think and How They Are Changing Our World Clive Thompson
  27. Computational Thinking Peter J. Denning
  28. Robot-Proof: Higher Education in the Age of Artificial Intelligence Joseph E. Aoun
  29. The AI Delusion Gary Smith
  30. Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence Jerry Kaplan
  31. 97 Principles for Software Architects: Axioms for software architecture and development written by industry practitioners Multiple Authors
  32. Algorithms Panos Louridas
  33. Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World Mo Gawdat
  34. Ten Short Lessons in Artificial Intelligence and Robotics Peter J. Bentley
  35. The Emperor's New Mind: Concerning Computers, Minds, and the Laws of Physics Roger Penrose
  36. On the Future: Prospects for Humanity Martin Rees
  37. Human Universe Professor Brian Cox
  38. The Pleasure of Finding Things Out: The Best Short Works of Richard P. Feynman Richard P. Feynman
  39. Homo Deus: A Brief History of Tomorrow Yuval Noah Harari
  40. The Technology Trap: Capital, Labor, and Power in the Age of Automation Carl Benedikt Frey
  41. Free Will Sam Harris
  42. Astrophysics for People in a Hurry Neil deGrasse Tyson
  43. Sapiens: A Brief History of Humankind Yuval Noah Harari
  44. Thinking: The New Science of Decision-Making, Problem-Solving, and Prediction John Brockman
  45. “What Do You Care What Other People Think?”: Further Adventures of a Curious Character Richard P. Feynman
  46. The World According to Physics Jim Al-Khalili
  47. Influence, New and Expanded: The Psychology of Persuasion Robert B. Cialdini

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