I didn't like the first 60% of the book. We’d love your help.

Often times more technical details would have aided proper understanding of the subject.As a data scientist, I enjoyed the non-technical aspects of this book more than the technical (though the review was welcome). This book attempts to explain the basis of statistical theory and equip the reader to understand concepts such as confidence intervals, legally permissible statistical evidence, and some of the deceptions used by journalists (and academics) to "big up" their findings. Spiegelhalter is an engaging writer; he peppers his explanations of core concepts with pleasing anecdotes, exemplifying the principles of honest, yet exciting storytelling from data that he propounds. It gives a good grounding in the correlation vs causation, algorithms, probability and critical thinking that gives the lay reader the tools to assess and appraise the figures shouted at us in the news, on social media, in government decision-makingThis is an undeniably interesting book and there werechunks that I thoroughly enjoyed, but as someone not blessed with most statistical brain, I found swathes of it largely unintelligible.This was exceptional! In less than four hundred pages it summarizes all the important aspects of statistics, uncertainty, randomness, variability, and all those intangible things that rule our lives and shape our beliefs.

This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is a pleasure to read. by Basic Books When I read books like this I’m reminded of how the media, the government and I guess everybody else distorts what the statistics are really saying. And lastly, the book is a helpful adjunct for anyone working to transition to the field of data science. Great examples and explanation of how we can trip up when it comes to stats and probability. From standard deviation to machine learning, it looks at a range of areas in statistics, and also features a glossary at the end going over key terms.The Art of Statistics is a book about the basics of statistics and how to draw information and conclusions from data. 1541618513 I can't really complain, and I'm only really giving it a harsh four stars because.. well.. it's a book about statistics.

Concepts like the 6 principles of P values, types of uncertainty, bootstrapping as an equivalent of sampling with replacement, bagging as a bootstrapping method using multiple decision trees and a consensus prediction are explained very well.
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In The Art of Statistics , David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Many students are using our Free Statistics Lab Manual\rwhich loads into most spreadsheets.\rIt is really a Quick way to learn.\rIt is a stand alone but was designed to use with our free\rQuick Notes Statistics textbooks.\rThis textbook had 90,000 free pd\ Statistical training should include more courses and resources like this that remind us there is more to the practical use of statistics than just the mathematics. And I do believe it is helping me in my work. Spiegelhalter is an engaging writer; he peppers his explanations of core concepts with pleasing anecdotes, exemplifying the principles of honest, yet exciting storytelling from data that he propounds. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. Thus the book is well suited for experts with year-long experience, college students of all fields, but especially science writers or people tThis amazing piece can somewhat be seen as the equivalent of Angrist&Pischke's "Mastering Metrics" for bread and butter statistical problems instead of intuitive econometrics.

In fact, I’ve added the book to my “should read” bibliography for the We see statistics everywhere we look. Armed with a clear understanding of statistical concepts, we can better question the numbers we encounter in our daily lives.I particularly appreciated the topics covered in the book that touch on important parts of the I greatly enjoyed reading this book, and used a number of Spiegelhalter’s concepts in my data science classes in order to clarify important points that only a world-renowned statistician can convey.

Highly recommended for all newbie data scientists!In this special guest feature, Hari Miriyala, VP Software Engineering at cPacket Networks, discusses how many enterprises are considering or deploying AI/ML tools to make their IT team more efficient, reduce troubleshooting time, or improve their organization’s security. Free Book See Reviews I read a lot of pop-maths books and enjoy them (Hannah Fry, Du Sautoy, Simon Singh, and pervious books by Spiegelhalter). I even gave this feedback to the author. Good for nonscientists.The book dealt with the spirit of applying statistics. In The Art of Statistics, world-renowned statistician David Spiegelhalter shows readers how to derive knowledge from raw data by focusing on the concepts and connections behind the math.


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