Learn IT - Books tags machines

Weight Training-4th Edition: Steps to Success (Steps to Success Activity Series)

Human Kinetics, 2011

Take the guesswork out of strength training and understand the details of proper exercise technique, weight loads, and reps. The no-nonsense approach of Weight Training: Steps to Success has guided more than 200,000 readers to their strength training goals and it will do the same for you.

Combining the experience of strength...

Computer Science: Notable Research and Discoveries (Frontiers of Science)

Facts on File, 2010

No one is certain how much more powerful and possibly intelligent computers will become in the 21st century. Exploring six prominent topics in computer science research, this title describes how computer scientists conduct research and attempt to formulate answers to important questions. Research published in journals, presented at conferences,...

Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Packt Publishing, 2018

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

Discover high-performing machine learning algorithms and understand how they work in depth

One-stop solution to mastering supervised, unsupervised, and...

Who's Afraid of AI?: Fear and Promise in the Age of Thinking Machines

The Experiment, 2019

A penetrating guide to artificial intelligence: what it is, what it does, and how it will change our lives

At a breathtaking pace, artificial intelligence is getting better and faster at making complex decisions. AI can already identify malignant tumors on CT scans, give legal advice, out-bluff the best...

A Second Course in Formal Languages and Automata Theory

Cambridge University Press, 2008

Intended for graduate students and advanced undergraduates in computer science, A Second Course in Formal Languages and Automata Theory treats topics in the theory of computation not usually covered in a first course. After a review of basic concepts, the book covers combinatorics on words, regular languages, context-free languages, parsing and...

Web Security Testing Cookbook: Systematic Techniques to Find Problems Fast

O'Reilly, 2008

Among the tests you perform on web applications, security testing is perhaps the most important, yet it's often the most neglected. The recipes in the Web Security Testing Cookbook demonstrate how developers and testers can check for the most common web security issues, while conducting unit tests, regression tests, or exploratory tests. Unlike ad...

The Design and Analysis of Efficient Learning Algorithms (ACM Doctoral Dissertation Award)

MIT Press, 1992

Approaches to building machines that can learn from experience abound - from connectionist learning algorithms and genetic algorithms to statistical mechanics and a learning system based on Piaget's theories of early childhood development. This monograph describes results derived from the mathematically oriented framework of computational...

Machine Learning with R - Second Edition

Packt Publishing, 2015

Key Features

Harness the power of R for statistical computing and data science
Explore, forecast, and classify data with R
Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned...

Administering VMware Site Recovery Manager 5.0 (VMware Press Technology)

Prentice Hall, 2012

The Complete, Hands-On Guide to Installing and Configuring VMware Site Recovery Manager 5.0

Administering VMware Site Recovery Manager 5.0 is the complete, technical, hands-on guide to VMware Site Recovery Manager (SRM) 5.0...

Ansible Configuration Management

Packt Publishing, 2013

Configuring your Linux infrastructure using Ansible is made logical and highly accessible when you follow this step-by-step tutorial. Combining a clear overview with the deeper details, it gives a solid grounding to managing your systems.

Overview

Starts with the most simple usage of Ansible and builds on...

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Manning Publications, 2016

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

...

Machine Learning for Adaptive Many-Core Machines - A Practical Approach (Studies in Big Data)

Springer, 2014

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise...

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