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Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Advanced Analytics with Spark: Patterns for Learning from Data at Scale

In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.

You’ll start with an...

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

The Book of R: A First Course in Programming and Statistics
The Book of R: A First Course in Programming and Statistics

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical...

Beginning Programming with Python For Dummies (For Dummies Series)
Beginning Programming with Python For Dummies (For Dummies Series)

Learn Python—the fun and easy way—and get in the programming game today!

Python is one of the fastest growing programming languages, and no wonder. It requires three to five times less time than developing in Java, is a great building block for learning both procedural and object-oriented programming concepts,...

Understanding Network Hacks: Attack and Defense with Python
Understanding Network Hacks: Attack and Defense with Python

This book explains how to see one's own network through the eyes of an attacker, to understand their techniques and effectively protect against them. Through Python code samples the reader learns to code tools on subjects such as password sniffing, ARP poisoning, DNS spoofing, SQL injection, Google harvesting and Wifi hacking. Furthermore...

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.

...
Agile Application Security: Enabling Security in a Continuous Delivery Pipeline
Agile Application Security: Enabling Security in a Continuous Delivery Pipeline

Agile continues to be the most adopted software development methodology among organizations worldwide, but it generally hasn't integrated well with traditional security management techniques. And most security professionals aren’t up to speed in their understanding and experience of agile development. To help bridge the...

Mastering Wireless Penetration Testing for Highly-Secured Environments
Mastering Wireless Penetration Testing for Highly-Secured Environments

Scan, exploit, and crack wireless networks by using the most advanced techniques from security professionals

About This Book

  • Conduct a full wireless penetration test and implement defensive techniques that can be used to protect wireless systems
  • Crack WEP, WPA, and even WPA2 wireless...
Python Geospatial Analysis Cookbook
Python Geospatial Analysis Cookbook

Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python

About This Book

  • Explore the practical process of using geospatial analysis to solve simple to complex problems with reusable recipes
  • Concise step-by-step instructions to teach you...
Building Machine Learning Systems with Python
Building Machine Learning Systems with Python

As the Big Data explosion continues at an almost incomprehensible rate, being able to understand and process it becomes even more challenging. With Building Machine Learning Systems with Python, you'll learn everything you need to tackle the modern data deluge - by harnessing the unique capabilities of Python and its extensive range of...

Getting Started with Kubernetes - Second Edition
Getting Started with Kubernetes - Second Edition

Learn how to schedule and run application containers using Kubernetes.

About This Book

  • Get well-versed with the fundamentals of Kubernetes and get it production-ready for deployments
  • Confidently manage your container clusters and networks using Kubernetes
  • This practical...
Python Data Visualization Cookbook - Second Edition
Python Data Visualization Cookbook - Second Edition

Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization

About This Book

  • Learn how to set up an optimal Python environment for data visualization
  • Understand how to import, clean and organize your data
  • Determine...
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