Data Analytics for Absolute Beginners O Theobald 9781521159453 Books
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A marketing professional, financial analyst, politician, CEO, professional coach, student or a decision maker in an organization. This book is the start of the road to becoming a data scientist or data literate professional. In today's modern world it’s vital t to understand data analytics. This includes the various processes, resources, advantages and limitations of data analytics. It's important that you can grasp the terminology and basic concepts of data analytics just as much as you need to understand basic accounting and financial literacy to be a successful decision maker in the business world. This book is ideal for anyone who is interested in making sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages.Topics covered
Regression Analysis Data Mining Machine Learning Data Reduction Clustering Anomaly Detection Text Mining Association Analysis Data VisualizationData Analytics for Absolute Beginners O Theobald 9781521159453 Books
I am a layman as it relates to this field. I have no education or training in any of the components of data analytics. Although at times the book gets a little too technical overall it provides a wonderful overview of this field. An excellent read for a college student evaluating career options.Product details
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Data Analytics for Absolute Beginners O Theobald 9781521159453 Books Reviews
Awesome book, with great industry insight and knowledge, well worth a read
One of several similar titles I've sampled recently, and the least useful. Of course, what can you expect from someone who says "most experts would agree that we are already living in an era of ‘true AI’ where machines can legitimately simulate human thinking." He doesn't say experts AT WHAT, but nobody with any AI expertise would make such a statement with a straight face.
I've worked in AI for over 30 years, and while lots of progress has been made, outside of a relatively narrow range of tasks we're still a long way from a human-like artificially intelligent entity.
Don't buy into the hype about IBM Watson and other "Deep Learning" systems playing Go is fundamentally no different from playing chess, a highly artificial task that requires nothing in the way of true intelligence -- no reasoning, just massive amounts of raw computing power and enough memory to sink an Imperial Cruiser.
When a computer program can solve a totally unstructured, novel problem, one that an average ten-year-old human solves every day, THEN let's start talking about 'true ai.' For that matter, let's see a program figure out how to make an "antsicle" -- use a stick to get ants out of a hole, the way chimps have done when faced with the problem of how to eat them -- without ever having been trained to do anything remotely similar.
For someone completely new to the tech industry, this book explains web scraping, data mining, machine learning, big data and other key concepts for data science. The writing is simple, easy to understand- definitely one of those "data science for dummies" reads. Would recommend/ ideal for people who are interested in data analytics but unsure how to apply it in their careers... don't worry this book will give you some insights )
Good for people like me starting out.
It is if you already bought Machine Learning by the same author. About 70% is a repeat of that other book.
I am a layman as it relates to this field. I have no education or training in any of the components of data analytics. Although at times the book gets a little too technical overall it provides a wonderful overview of this field. An excellent read for a college student evaluating career options.
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