• Title: One Two Three ... Infinity: Facts and Speculations of Science
• Author(s) George Gamow
• Publisher: Dover Publications; Revised ed. edition (September 1, 1988); eBook (Internet Archive)
• Paperback: 204 pages
• eBook: PDF, ePub, and Kindle, etc.
• Language: English
• ISBN-10: 0486256642
• ISBN-13: 978-0486256641
• Share This:  

Book Description

One Two Three ... Infinity is one of the most memorable popular books on physics, mathematics, and science generally ever written, famous for having, directly or indirectly, launched the academic and/or scientific careers of many young people whose first real encounter with the wonders and mysteries of mathematics and science was through reading this book as a teenager. Untypically for popular science books, this one is enhanced by the author's own delightful sketches.

Whatever your level of scientific expertise, chances are you'll derive a great deal of pleasure, stimulation, and information from this unusual and imaginative book. It belongs in the library of anyone curious about the wonders of the scientific universe.

• George Gamow was a Russian-American theoretical physicist and cosmologist.

• Amazon

• General Science (Physics, Chemistry, Biology, etc.)
• Physics
• Applied Mathematics
• Miscellaneous and Uncategorized Books

• One Two Three ... Infinity: Facts and Speculations of Science (George Gamow)
• The Mirror Site (1) - PDF

• Introduction to Classical and Quantum Computing (Tom Wong)

  This book is for students who want to learn quantum computing beyond a conceptual level, but who lack advanced training in mathematics. The only prerequisite is trigonometry, and mathematics beyond that will be covered.

• Principles of Mechanics: Fundamental University Physics

  This textbook takes the reader step-by-step through the concepts of mechanics in a clear and detailed manner. Many proofs and examples are included to help the reader grasp the fundamentals fully, paving the way to deal with more advanced topics.

• Structure and Interpretation of Classical Mechanics

  This innovative textbook concentrates on developing general methods for studying the behavior of classical systems. It focuses on the phenomenon of motion and makes extensive use of computer simulation in its explorations of the topic.

• Relativity: The Special and General Theory (Albert Einstein)

  The great physicist himself disclaimed this exclusionary view, and in this book, he explains both theories in their simplest and most intelligible form for the layman not versed in the mathematical foundations of theoretical physics.

• Foundations of Machine Learning (Mehryar Mohri, et al)

  This book is a general introduction to machine learning. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms.

• Machine Learning Yearning (Andrew Ng)

  You will learn how to align on ML strategies in a team setting, as well as how to set up development (dev) sets and test sets. After finishing this book, you will have a deep understanding of how to set technical direction for a machine learning project.

• Understanding Machine Learning: From Theory to Algorithms

  Explains the principles behind the automated learning approach and the considerations underlying its usage. Provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations.

• Reinforcement Learning: An Introduction, Second Edition

  It provides a clear and simple account of the key ideas and algorithms of reinforcement learning that is accessible to readers in all the related disciplines. Focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes.

• Probabilistic Machine Learning: An Introduction (Kevin Murphy)

  This book is a comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. It is written in an informal, accessible style, complete with pseudo-code for the most important algorithms.