Learn IT - Books tags train

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

O'Reilly, 2018

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...

99 Tricks and Traps for Microsoft Project 2013 and 2016

Eastwood Harris Pty Ltd, 2016

The casual users survival guide! For users who understand the basics and want a brief text to demonstrate the less intuitive functions. The book is aimed at Project Management Professionals who are casual or new users and understand the software basics but require a short and snappy guide. It is the sort of book that may be read without a...

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

O'Reilly, 2017

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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Mastering Wireshark

Packt Publishing, 2016

Key Features

Master Wireshark and train it as your network sniffer

Impress your peers and get yourself pronounced as a network doctor

Understand Wireshark and its numerous features with the aid of this fast-paced book packed with numerous screenshots, and become a pro at resolving network...

Spark for Python Developers

Packt Publishing, 2015

Key Features

Set up real-time streaming and batch data intensive infrastructure using Spark and Python
Deliver insightful visualizations in a web app using Spark (PySpark)
Inject live data using Spark Streaming with real-time events

Book Description

Looking...

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

O'Reilly, 2017

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

ITIL Version 3 at a Glance: Information Quick Reference

Springer, 2008

ITIL® Version 3 At a Glance takes a graphical approach to consolidating the information of ITIL® version 3. ITIL® is an internationally-recognized set of best practices for providing IT service management. IT organizations worldwide are implementing ITIL® as a vehicle for improving IT service quality and improve...

R Deep Learning Essentials

Packt Publishing, 2016

Key Features

Harness the ability to build algorithms for unsupervised data using deep learning concepts with R

Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models

Build models relating to neural...

Javascript Programmer's Reference

Wrox Press, 2001

The book is aimed at people who already have some knowledge of JavaScript and need a companion volume to their daily work. It is primarily aimed at the experienced practitioner, and so does not attempt to be a tutorial for the beginner.

For a tutorial book, we suggest Paul Wilton's Beginning...

Pre-Calculus Know-It-ALL (Know It All)

McGraw-Hill, 2009

Master pre-calculus from the comfort of home!

Want to "know it ALL" when it comes to pre-calculus? This book gives you the expert, one-on-one instruction you need, whether you're new to pre-calculus or you're looking to ramp up your skills. Providing easy-to-understand concepts and thoroughly...

Adopting Elixir: From Concept to Production

Pragmatic Bookshelf, 2018

Adoption is more than programming. Elixir is an exciting new language, but to successfully get your application from start to finish, you're going to need to know more than just the language. The case studies and strategies in this book will get you there. Learn the best practices for the whole life of your application, from...

MDA Explained: The Model Driven Architecture-Practice and Promise

Addison Wesley, 2003

Experienced application developers often invest more time in building models than they do in actually writing code. Why? Well-constructed models make it easier to deliver large, complex enterprise systems on time and within budget. Now, a new framework advanced by the Object Management Group (OMG) allows developers to build systems according to...

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