|Browse by Catagory:
Civil Rights & Liberties
War & Peace
Cajun & Creole Cooking
Caribbean & West Indian Cooking
Diabetic & Sugar-Free Cooking
Low Fat Cooking
Middle Eastern Cooking
Pacific Rim Cooking
Home & Garden
Literature & Fiction
Sheet Music & Scores
Environmental & Natural Resources Law
Ethics & Professional Responsibility
Procedures & Litigation
Water Supply & Land Use
Lawyer and Crimal Humor
Outdoors & Nature
Hiking & Camping
Hunting & Fishing
Beer & Beer Making
Health & Fitness
Diets & Weight Loss
Children's Science & Nature
Vitamins & Supplements
Psychology and Counseling
Philosophy of Psychology
Physiological Aspects of Psychology
Psychology of Sexuality
Psychology Testing & Measurement
Chaos & Systems
Geometry & Topology
Logic & Brain Teasers
Chaos & Systems
Geometry & Topology
Probability & Statistics
Experiments, Instruments & Measurement
Chaos & Systems
Fusion & Fission
Nuclear Magnetic Resonance
Waves & Wave Mechanics
Administration & Policy
Allied Health Professions
Medical Education & Training
Endocrinology & Metabolism
Physician & Patient
Insects & Spiders
Fish & Aquariums
Mobile & Wireless Computing: Programming
Linux Kernel & Peripherals
Linux Networking & Administration
State & Local History
Sci Fi Calendars
Bujold, Lois McMaster
Card, Orson Scott
Chalker, Jack L.
Heinlein, Robert A.
McKillip, Patricia A.
Nye, Jody Lynn
|Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
Lowest new price: $20.88
Lowest used price: $20.19
List price: $39.99
Author: Nathan Yau
Practical data design tips from a data visualization expert of the modern age
Data doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.
- Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau
- Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers
- Contains numerous examples and descriptions of patterns and outliers and explains how to show them
Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.
From the Author: Telling Stories with Data
A common mistake in data design is to approach a project with a visual layout before looking at your data. This leads to graphics that lack context and provide little value. Visualize This teaches you a data-first approach. Explore what your data has to say first, and you can design graphics that mean something.
|Author Nathan Yau |
Visualization and data design all come easier with practice, and you can advance your skills with every new dataset and project. To begin though, you need a proper foundation and know what tools are available to you (but not let them bog you down). I wrote Visualize This with that in mind.
You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing, and most importantly be able to apply what you learn to your own data.
Three Data Visualization Steps:
1) Ask a Question
(Click Graphic to See Larger Version)
When you get a dataset, it sometimes is a challenge figuring out where to start, especially when it's a large dataset. Approach your data with a simple curiosity or a question that you want answered, and go from there.
2) Explore Your Data
(Click Graphic to See Larger Version)
A simple curiosity often leads to more questions, which are a good guide for what stories to dig into. What variables are related to each other? Can you see changes over time? Are there any features in the data that stand out? Find out all you can about your data, because the more you know what's behind the numbers, the better story you can tell.
3) Visualize Your Data
(Click Graphic to See Larger Version)
Once you know the important parts of your data, you can design graphics the best way you see fit. Use shapes, colors, and sizes that make sense and help tell your story clearly to readers. While the base of your charts and graphs will share many of the same properties – bars, slices, dots, and lines – the final design elements will and should vary by your unique dataset.
|Making Things Move DIY Mechanisms for Inventors, Hobbyists, and Artists
Lowest new price: $14.44
Lowest used price: $14.38
List price: $30.00
Author: Dustyn Roberts
A unique guide to practical mechanical design principles and their applications
In Making Things Move, you'll learn how to build moving mechanisms through non-technical explanations, examples, and do-it-yourself projects--from art installations to toys to labor-saving devices. The projects include a drawing machine, a mini wind turbine, a mousetrap powered car, and more, but the applications of the examples are limited only by your imagination. A breadth of topics is covered ranging from how to attach couplers and shafts to a motor, to converting between rotary and linear motion.
Each chapter features photographs, drawings, and screenshots of the components and systems involved. Emphasis is placed on using off-the-shelf components whenever possible, and most projects also use readily available metals, plastics, wood, and cardboard, as well as accessible fabrication techniques such as laser cutting. Small projects in each chapter are designed to engage you in applying the material in the chapter at hand. Later in the book, more involved projects incorporate material from several chapters.
Making Things Move:
Hands-on coverage of moving mechanisms
- Focuses on practical applications and results, not abstract engineering theories
- Contains more than a dozen topic-focused projects and three large-scale projects incorporating lessons from the whole book
- Features shopping lists and guides to off-the-shelf components for the projects
- Incorporates discussions of new fabrication techniques such as laser cutting and 3D printing, and how you can gain access
- Includes online component for continuing education with the book's companion website and blog (makingthingsmove.com)
Introduction to Mechanisms and Machines; Materials and Where to Find Them; Screwed or Glued? On Fastening and Joining Parts; Forces, Friction and Torque (Oh My); Mechanical and Electrical Power, Work, and Energy; Eeny, Meeny, Miny, Motor? - Creating and Controlling Motion; The Guts: Bearings, Bushings. Couplers, and Gears; Rotary vs. Linear Motion; Automatons and Mechanical Toys; Making Things and Getting Them Made; Projects
|How to Create a Mind: The Secret of Human Thought Revealed
Lowest new price: $8.89
Lowest used price: $9.21
List price: $17.00
Author: Ray Kurzweil
The bestselling author of The Singularity Is Near explores the limitless potential of reverse-engineering the human brain
Ray Kurzweil is arguably today’s most influential futurist. In How to Create a Mind, he presents a provocative exploration of the most important project in the human-machine civilization: reverse-engineering the brain to understand precisely how it functions and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain works, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems. Certain to be one of the most widely discussed and debated science books of the year, How to Create a Mind is sure to take its place alongside Kurzweil’s previous classics.
|Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)
Lowest new price: $27.00
Lowest used price: $25.00
List price: $69.95
Author: Ian H. Witten
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.
Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.
*Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects *Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods *Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks-in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
|Artificial Intelligence: A Modern Approach (3rd Edition)
Lowest new price: $89.81
Lowest used price: $69.73
List price: $169.60
Author: Stuart Russell
Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence.
According to an article in The New York Times , the course on artificial intelligence is “one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.” One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom.
Artificial Intelligence: A Modern Approach, 3e is available to purchase as an eText for your Kindle™, NOOK™, and the iPhone®/iPad®.
To learn more about the course on artificial intelligence, visit http://www.ai-class.com. To read the full New York Times article, click here.
|Our Final Invention: Artificial Intelligence and the End of the Human Era
Lowest new price: $14.42
Lowest used price: $14.87
List price: $26.99
Author: James Barrat
Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the “smart” in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence.
In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful, and more alien than we can imagine.
Through profiles of tech visionaries, industry watchdogs, and groundbreaking AI systems, Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
|Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Lowest new price: $89.00
Lowest used price: $71.48
List price: $99.00
Author: Daphne Koller
Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.
Lowest new price: $7.86
Lowest used price: $10.18
List price: $14.99
Author: Matt Richardson
Many people think of Linux as a computer operating system, running on users' desktops and powering servers. But Linux can also be found inside many consumer electronics devices. Whether they're the brains of a cell phone, cable box, or exercise bike, embedded Linux systems blur the distinction between computer and device.
Many makers love microcontroller platforms such as Arduino, but as the complexity increases in their projects, they need more power for applications, such as computer vision. The BeagleBone is an embedded Linux board for makers. It's got built-in networking, many inputs and outputs, and a fast processor to handle demanding tasks. This book introduces you to both the original BeagleBone and the new BeagleBone Black and gets you started with projects that take advantage of the board's processing power and its ability to interface with the outside world.
|An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics)
Lowest new price: $3.99
Lowest used price: $2.54
List price: $14.95
Author: John R. Pierce
Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permeated the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.
To give a solid introduction to this burgeoning field, J. R. Pierce has revised his well-received 1961 study of information theory for an up-to-date second edition. Beginning with the origins of the field, Dr. Pierce follows the brilliant formulations of Claude Shannon and describes such aspects of the subject as encoding and binary digits, entropy. language and meaning, efficient encoding , and the noisy channel. He then goes beyond the strict confines of the topic to explore the ways in which information theory relates to physics, cybernetics, psychology, and art. Mathematical formulas are introduced at the appropriate points for the benefit of serious students. A glossary of terms and an appendix on mathematical notation are provided to help the less mathematically sophisticated.
J. R. Pierce worked for many years at the Bell Telephone Laboratories, where he became Director of Research in Communications Principles. He is currently affiliated with the engineering department of the California Institute of Technology. While his background is impeccable, Dr. Pierce also possesses an engaging writing style that makes his book all the more welcome. An Introduction to Information Theory continues to be the most impressive non-technical account available and a fascinating introduction to the subject for laymen.
"An uncommonly good study. . . . Pierce's volume presents the most satisfying discussion to be found."― Scientific American.
|Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Lowest new price: $41.44
Lowest used price: $52.13
List price: $64.00
Author: Peter Flach
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.
Page 2 of 3448
CERTAIN CONTENT THAT APPEARS ON THIS SITE COMES FROM AMAZON SERVICES LLC. THIS CONTENT IS PROVIDED AS IS AND IS SUBJECT TO CHANGE OR REMOVAL AT ANY TIME.