Data Science from Scratch: Intermediate guide for learning Data science and master it like a pro( Comprehensive guide)

Read for FREE with Kindle Unlimited! Data Science from Scratch: Intermediate guide for learning Data science and master it like a pro( Comprehensive guide) Do you want to learn about Data science? There's a joke that says a data scientist is someone who knows more statistics than a computer scientist and more computer science than a statistician.( I didn't say it was a good joke.) In fact, some data scientists are - for all practical purposes - statisticians, while others are pretty much indistinguishable from software engineers. Some are machine-learning experts, while others couldn't machine-learn their way out of kindergarten. Some are PhDs with impressive publication records, while others have never read an academic paper(shame on them, though). In short, pretty much no matter how you define data science, you'll find practitioners from whom the definition is totally, absolutely wrong. Nonetheless, we won't let that stop us from trying. We'll say that a data scientist is someone who extracts insights from messy data. Today's world is full of people trying to turn data into insight. For instance, the dating site OkCupid asks its members to answer thousands of questions in order to find the most appropriate matches for them. But it also analyses these results to figure out innocuous-sounding questions you can ask someone to find out how likely someone is to sleep with you on the first date. Facebook asks you to list your hometown and your current location, ostensibly to make it easier for your friends to find and connect with you. But it also analyzes these locations to identify global migration patterns and where the fanbases of different football teams live. Here Is A Preview Of What You'll Learn... Getting started on you data science toolbox What is structured data? How to get started with data science How to identify data problems Combining different models for ensemble learning Text mining and text analytics Applications for machine learning in data science Much, much, more! ACT NOW! Click the orange BUY button at the top of this page!Then you can begin reading Data Science from Scratch: Intermediate guide for learning Data science and master it like a pro( Comprehensive guide) on your Kindle device, computer, tablet or smartphone.

Author: Samuel Harris

Publisher: CreateSpace Independent Publishing Platform

Publication Date: Jul 16, 2018

Number of Pages: 100 pages

Language: English

Binding: Paperback

ISBN-10: 1723238376

ISBN-13: 9781723238376