"Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see practical examples of machine learning concepts such as semi-supervised learning, deep learning, computer vision and NLP. Practical Data Analytics with Python also covers important traditional data analysis techniques such as time series, principal component analysis through examples from real industry projects. After reading this book you will have experience of every technical aspect of an industrial analytics project. You'll get to know the concepts using Python code, thoroughly explained in each case."-- Provided by publisher.
New Computer Collection Materials
Advanced data analytics using Python : with machine learning, deep learning and NLP examples / Sayan Mukhopadhyay.
Java 9 modularity : patterns and practices for developing maintainable applications / Sander Mak and Paul Bakker.
The upcoming Java 9 module system will affect existing applications and offer new ways of creating modular and maintainable applications. With this hands-on book, Java developers will learn not only about the joys of modularity, but also about the patterns needed to create truly modular and reliable applications. Authors Sander Mak and Paul Bakker teach you the concepts behind the Java 9 module system, along with the new tools it offers. You’ll also gain learn how to modularize existing code and how to build new Java applications in a modular way.
Investigating the cyber breach : the digital forensics guide for the network engineer / Joseph Muniz, Aamir Lakhani.
The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python.
"Prepare for the CompTIA Cloud+ certification exam with 700+ accurate practice questions and in-depth answer explanations. CompTIA Cloud+ Certification Practice Exams (Exam CV0-002) is filled with more than 700 realistic practice questions--including performance-based questions--to prepare you for this challenging exam. To help you understand the material, in-depth explanations of both the correct and incorrect answers are included for every question. This practical guide covers all official objectives for Exam CV0-002 and is the perfect companion to CompTIA Cloud+ Certification Study Guide, Second Edition."--provided by Amazon.com.
"This highly effective self-study guide covers all six domains of the challenging Certified Cloud Security Professional exam as well as the CCSP Common Body of Knowledge, developed by the International Information Systems Security Certification Consortium (ISC)2. To reinforce important skills and facilitate retention, every question is accompanied by in-depth explanations for both correct and incorrect answers. Designed to help you pass the test with ease, this book is also an ideal companion to the bestselling CCSP Certified Cloud Security Professional All-in-One Exam Guide."--provided by Amazon.com.
"CWTS Certified Wireless Technology Specialist Study Guide is your number-one resource for comprehensive exam preparation. Updated to study in 2017 and beyond, this book takes a multi-modal approach to ensure your complete confidence and ability for the big day: full coverage of all CWTS exam objectives reinforces your conceptual knowledge, hands-on exercises help hone your practical skills, and the Sybex online learning environment provides flashcards, a glossary, and review questions to help you test your understanding along the way. An objective map and pre-assessment test allow for more efficient preparation by showing you what you already know and what you need to review—and the companion website's complete practice exams give you a "dry run" so you can pinpoint weak areas while there's still time to improve. If you're serious about earning your CWTS certification, this book is your ideal companion for complete and thorough preparation."--Provided by publisher.
Cisco Firepower Threat Defense (FTD) : configuration and troubleshooting best practices for the Next-Generation Firewall (NGFW), Next-Generation Intrusion Prevention System (NGIPS), and Advanced Ma...
This is the definitive guide to best practices and advanced troubleshooting techniques for the Cisco flagship Firepower Threat Defense (FTD) system running on Cisco ASA platforms, Cisco Firepower security appliances, Firepower eXtensible Operating System (FXOS), and VMware virtual appliances. -- Back cover.
"Learn to code with Python introduces you to the world of writing computer programs without drowning you in confusing jargon or theory that make getting started harder than it should be. Filled with practical examples and step-by-step lessons using the easy-on-the-brain Python language, this book will get you programming in no time! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology: Let's face it. The only way to learn computer programming is to do it. Whether you want to skill up for your next job interview or just get a few pet projects done, programming can be an amazing tool. This book is designed especially for beginners, helping them learn to program hands on, step by step, project by project. It's time to get programming! About the Book: Get Programming: Learn to code with Python teaches you the basics of computer programming using the Python language. In this exercise-driven book, you'll be doing something on nearly every page as you work through 38 compact lessons and 7 engaging capstone projects. By exploring the crystal-clear illustrations, exercises that check your understanding as you go, and tips for what to try next, you'll start thinking like a programmer in no time. What's Inside: Programming skills you can use in any language -- Learn to code-no experience required -- Learn Python, the language for beginners -- Dozens of exercises and examples help you learn by doing. About the Reader: No prior programming experience needed." -- ONIX annotation.
Machine learning with clustering : a visual guide for beginners with examples in Python 3 / Artem Kovera.
Mastering Unity scripting : learn advanced C♯ tips and techniques to make professional-grade games with Unity / Alan Thorn.
Learning Drupal 8 : create complex websites quickly and easily using the building blocks of Drupal 8, the most powerful version of Drupal yet / Nick Abbott, Richard Jones.
The book takes you step by step through building a Drupal 8 website. Start with the basics, such as setting up a local 'stack' development environment and installing your first Drupal 8 site, then move on to image and media handling, and extending Drupal modules. Push your knowledge by getting to grips with the modular nature of Drupal, and learning to extend it by adding new functionalities to create your new modules. By the end of the book, you will be able to develop and manage a modern and responsive website using Drupal. This is an absolute beginners' guide, providing step-by-step instructions to help you learn Drupal 8 from scratch.
With the idea of deep learning having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitised data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.
OCP Java SE 8 programmer II exam guide (Exams 1Z0-809) / Kathy Sierra, Bert Bates, Elisabeth Robson.
Python is a computer programming language that is rapidly gaining popularity throughout the sciences. This fully updated edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including: Basic Python programming and scripting -- Numerical arrays -- Two- and three-dimensional graphics -- Monte Carlo simulations -- Numerical methods, including solving ordinary differential equations -- Image processing -- Animation. Numerous code samples and exercises--with solutions—illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more. This current edition brings the discussion of the Python language, Spyder development environment, and Anaconda distribution up to date. In addition, a new appendix introduces Jupyter notebooks. -- Provided by publisher.