Machine

When two hungry dinosaurs jump into a time machine, they're transported to an unbelievable, magical, surreal future: RIGHT HERE, RIGHT NOW! On the T. Rexes' madcap voyage into the unknown, they encoun

Young hockey and ice sports fans will love seeing this big machine in action! Featuring simple facts and colorful illustrations, the text follows a Zamboni machine as it does its honest job to clear a

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

One very hot day, Min, a budding engineer, builds a machine that draws water from a well and into a swimming pool.Min wants to play, but Ann and Bess say it's too hot. Using a pipe, a tube, and some g

One very hot day, Min, a budding engineer, builds a machine that draws water from a well and into a swimming pool.Min wants to play, but Ann and Bess say it's too hot. Using a pipe, a tube, and some g

The course of Machine Elements or Machine Design is one of the most fundamental that students take. It focuses on single components of machines in isolation, but does not frame them in the context of

Text analytics is a field that lies on the interface of information retrieval,machine learning, and natural language processing, and this textbook carefully covers a coherently organized framework dra

An introduction to machine learning that includes the fundamental techniques, methods, and applications Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concept

Machine translation has become increasingly popular, especially with the introduction of neural machine translation in major online translation systems. However, despite the rapid advances in machine

Weaponize Your Will - The Remastered 2nd Edition Radiologic Physics War Machine is programed to seek and destroy trivia questions. The text is designed for mastery and rapid review - totally unique is

AC Machine Design Fundamentals presents a thorough treatment of AC machine design, starting from basic electromagnetic principles and primarily concerning various design aspects of the design of an in

The Anti-Politics Machine (1990) examines how international development projects are conceived, researched, and put into practice. It also looks at what these projects actually achieve. Ferguson criti

Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning systems that can turn massive amounts of data into valuable insights. But when you're

A military machine with a soul, a thinking computer in the form of a man, X-51 is the Machine Man! Abel Stack gave a government-created robot a human face, nurturing the man inside the machine and cal

Focussing on occurrences of unstable vibrations, or Chatter, in machine tools, this book gives important insights into how to eliminate chatter with associated improvements in product quality, surface

This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is pres

The Neo Saitama of the future is a sprawling urban landscape constantly flooded by neon light. And in its shadows lurks a vast criminal world with all sorts of shady characters. Among them are the dea

This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing he

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for a

Machine Trades Print Reading, a combination text and write-in workbook designed to help you develop the skills required to visualize and interpret industrial prints. The text begins with an overview o

Who have YOU hugged today? Open your arms to this delightfully tender, goofy, and sweet tale.Watch out world, here he comes! The Hug Machine!Whether you are big, or small, or square, or long, or spike

In search of the ultimate chilled sensation? Here are the creamiest, tastiest ice cream recipes for dedicated addicts. The Ice Cream Machine Book enables you to create and churn velvety, dreamy ice cr

Focussing on occurrences of unstable vibrations, or Chatter, in machine tools, this book gives important insights into how to eliminate chatter with associated improvements in product quality, surface

As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the mo

Offering sequenced guidance for non-specialists on how to reap the benefits of machine learning in medicine and healthcare, this text harnesses the power of cutting-edge computing to maximize the acce

Machine learning is concerned with the analysis of large data and multiple variables. However, it is also often more sensitive than traditional statistical methods to analyze small data. The first vol

The first edition of The Bread Machine Cookbook was the first, best, and by far the best-selling cookbook for automatic bread machines. This colorful take on the classic cookbook contains recipes for

Written by an experienced machinist and plastic injection mold maker, this groundbreaking manual will have users thinking and producing like experienced machinists. Machine Shop Trade Secrets provides

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and disc

With the MG 34, the German Wehrmacht introduced an entirely new concept in automatic firepower - the general-purpose machine gun (GPMG). In itself the MG 34 was an excellent weapon: an air-cooled, rec

A sweeping survey on an evergreen subject—the relationship between man and machines. Featuring more than sixty international artists, this volume surveys the constantly shifting relationships between

This graduate-level textbook introduces fundamental concepts and methods in machinelearning. It describes several important modern algorithms, provides the theoretical underpinningsof these algorithms

This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, U

From the time he was 15 years old, Joseph-Armand Bombardier pursued, then later realized, his dream of inventing a machine that would “float on snow” to enable people to travel around during the winte

From the time he was 15 years old, Joseph-Armand Bombardier pursued, then later realized, his dream of inventing a machine that would “float on snow” to enable people to travel around during the winte

In this book, weapons experts Maxim Popenker and Anthony Williams present a study of the development of the sub-machine gun and its ammunition, before undertaking a country-by-country survey of the we

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and