Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills
A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills

Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios...

Ghost in the Wires: My Adventures as the World's Most Wanted Hacker
Ghost in the Wires: My Adventures as the World's Most Wanted Hacker

The thrilling memoir of the world's most wanted computer hacker

"Mitnick manages to make breaking computer code sound as action-packed as robbing a bank." -- NPR

Kevin Mitnick was the most elusive computer break-in artist in history. He accessed
...

Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research / Computer Science Interfaces Series)
Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research / Computer Science Interfaces Series)

Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications focuses on discrete mathematics and combinatorial algorithms interacting with real world problems in computer science, operations research, applied mathematics and engineering. The book contains eleven chapters written by...

Internetworking with TCP/IP Volume One (6th Edition)
Internetworking with TCP/IP Volume One (6th Edition)

An internationally best-selling, conceptual introduction to the TCP/IP protocols and Internetworking, this book interweaves a clear discussion of fundamentals and scientific principles with details and examples drawn from the latest technologies. Leading author Douglas Comer covers layering and packet formats for all the...

Deep Learning Cookbook: Practical Recipes to Get Started Quickly
Deep Learning Cookbook: Practical Recipes to Get Started Quickly

Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve...

IoT Security Issues
IoT Security Issues

IoT Security Issues looks at the burgeoning growth of devices of all kinds controlled over the Internet of all varieties, where product comes first and security second. In this case, security trails badly. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problem, investigating the stack...

A Practical Guide to Fedora and Red Hat Enterprise Linux (6th Edition)
A Practical Guide to Fedora and Red Hat Enterprise Linux (6th Edition)

“I have found this book to be a very useful classroom text, as well as a great Linux resource. It teaches Linux using a ground-up approach that gives students the chance to progress with their skills and grow into the Linux world. I have often pointed to this book when asked to recommend a solid...

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

Hacking Exposed Mobile: Security Secrets & Solutions
Hacking Exposed Mobile: Security Secrets & Solutions

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Proven security tactics for today's mobile apps,devices, and networks

"A great overview of the new threats created...

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural...

Introduction to Machine Learning with R: Rigorous Mathematical Analysis
Introduction to Machine Learning with R: Rigorous Mathematical Analysis

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more...

Result Page: 249 248 247 246 245 244 243 242 241 240 
©2018 LearnIT (support@pdfchm.net) - Privacy Policy