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Practical Statistics for Data Scientists: 50 Essential Concepts

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Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.

Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.

With this book, you’ll learn:

  • Why exploratory data analysis is a key preliminary step in data science
  • How random sampling can reduce bias and yield a higher quality dataset, even with big data
  • How the principles of experimental design yield definitive answers to questions
  • How to use regression to estimate outcomes and detect anomalies
  • Key classification techniques for predicting which categories a record belongs to
  • Statistical machine learning methods that “learn” from data
  • Unsupervised learning methods for extracting meaning from unlabeled data
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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

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Go Design Patterns
Go Design Patterns

Learn idiomatic, efficient, clean, and extensible Go design and concurrency patterns by using TDD

About This Book

  • A highly practical guide filled with numerous examples unleashing the power of design patterns with Go.
  • Discover an introduction of the CSP concurrency model by explaining...
Defensive Security Handbook: Best Practices for Securing Infrastructure
Defensive Security Handbook: Best Practices for Securing Infrastructure

Despite the increase of high-profile hacks, record-breaking data leaks, and ransomware attacks, many organizations don’t have the budget to establish or outsource an information security (InfoSec) program, forcing them to learn on the job. For companies obliged to improvise, this pragmatic guide provides a security-101 handbook...


The Self-Taught Programmer: The Definitive Guide to Programming Professionally
The Self-Taught Programmer: The Definitive Guide to Programming Professionally

I am a self-taught programmer. After a year of self-study, I learned to program well enough to land a job as a software engineer II at eBay. Once I got there, I realized I was severely under-prepared. I was overwhelmed by the amount of things I needed to know but hadn't learned yet. My journey learning to program, and my experience at my...

Applied Network Security
Applied Network Security

Master the art of detecting and averting advanced network security attacks and techniques

About This Book

  • Deep dive into the advanced network security attacks and techniques by leveraging tools such as Kali Linux 2, MetaSploit, Nmap, and Wireshark
  • Become an expert in cracking WiFi...
Electronics All-in-One For Dummies (For Dummies (Computers))
Electronics All-in-One For Dummies (For Dummies (Computers))

A comprehensive collection of 8 books in 1 offering electronics guidance that can't be found anywhere else!

If you know a breadboard from a breadbox but want to take your hobby electronics skills to the next level, this is the only reference you need. Electronics All-in-One For Dummies has done the legwork for you...

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