Numsense! Data Science For The Layman: No Math 19 !!BETTER!!
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An affordable and informative introduction to data science. A must for anyone who is interested in learning more about data science. ”The goal of this book is to focus on the elements that make up the data science process as a business process and get people thinking about their data,” says reviewer Lisa Barnes.
This book introduces the reader to the world of data science and machine learning through a fun, approachable, and understandable style. The author begins by introducing the reader to the world of data science, and then delves into topics such as using Python for data science, and then the increasingly popular R language. ”Wealthy people have been using data science for years, but they haven’t been talking about it, and the rest of us have been living in the dark,” the author explains. ”The real benefit of ’data science’ is how it can help people make better, smarter decisions.”
Data Science for Dummies is a short book for anyone who is curious about the basics of data science. Written by a data scientist, this book does a good job of explaining the various processes that go into applying data science. The book includes an intuitive introduction to the R programming language and its functions, which is helpful for those new to the topic. The final chapters focus on key takeaways.
A well-written, thoughtfully-written, engaging book that will introduce you to the world of data science and machine learning. It’s a great introduction and primer to the fascinating field of data science and machine learning.”
This book is one of the most comprehensive books on the subject of data science and machine learning for the beginner. It is a great introduction to the world of data science. ”In contrast with the earlier books, this one is more accessible,” says reviewer Boris Kofman. ”In the previous two books, the authors made a series of seemingly mundane decisions, creating what some might say was a hard to digest book. This book has no such flaws.” And reviewer Adam Finn calls the book ”a joyous, fun read, with lessons that can help anyone take advantage of the huge opportunity that data science represents.”
In the restricted three-body problem, the stability of the triangular configuration is analyzed. In particular, the stability of the figure-8 configuration and triangular configuration with masses mA and mB equal to the mass of the third body are considered. It is proved that the triangular configuration with mB=0 is always unstable.
A two-body problem with equal masses is considered, where the two bodies rotate about their center of mass with equal angular velocity. The stability of solutions with a circular trajectory is investigated. It is shown that, in general, there are no stable circular orbits in the conservative case and the collisional case. However, circular orbits with constant angular momentum may exist in the collisional case and the restricted three-body problem. The stability of the circular solutions is also investigated numerically. In the collisional case, some exact circular solutions were found. 827ec27edc