Showing results for "brian steele"
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2016
EN
This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming ...
2012
EN
This book emphasises the centrality of nationhood to Thomas Jefferson's thought and politics, envisioning Jefferson as a cultural nationalist whose political project sought the alignment of the American state system with the will and character of the nation. Jefferson believed that America was the one nation on earth able to realise in practice universal ideals to which other peoples could only aspire. He appears in the book as the essential narrator of what he once called the 'American St...
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Founding Brothers
The Revolutionary Generation (Pulitzer Prize Winner)
2003
EN
PULITZER PRIZE WINNER **• NATIONAL BESTSELLER • A landmark work of history explores how a group of greatly gifted but deeply flawed individuals—Hamilton, Burr, Jefferson, Franklin, Washington, Adams, and Madison—confronted the overwhelming challenges before them to set the course for our nation.“A splendid book—humane, learned, written with flair and radiant with a calm intelligence and wit.” —The New York Times Book Review**The United States was m...
Data Mining
Practical Machine Learning Tools and Techniques
2011
EN
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, 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...
Empire of Liberty
A History of the Early Republic, 1789-1815
2009
EN
The Oxford History of the United States is by far the most respected multi-volume history of our nation. The series includes three Pulitzer Prize winners, two New York Times bestsellers, and winners of the Bancroft and Parkman Prizes. Now, in the newest volume in the series, one of America's most esteemed historians, Gordon S. Wood, offers a brilliant account of the early American Republic, ranging from 1789 and the beginning of the national government to the end of the War of 181...
Python Machine Learning
Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
2015
EN
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust statistical models, built for a range of datasets...
1998
EN
NATIONAL BOOK AWARD WINNER Following Thomas Jefferson from the drafting of the Declaration of Independence to his retirement in Monticello, Joseph J. Ellis unravels the contradictions of the Jeffersonian character. He gives us the slaveholding libertarian who was capable of decrying mescegenation while maintaing an intimate relationship with his slave, Sally Hemmings; the enemy of government power who exercisdd it audaciously as president; the visionarty who remained curio...
Machine Learning for Hackers
Case Studies and Algorithms to Get You Started
2012
EN
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classificat...
The Radicalism of the American Revolution
Pulitzer Prize Winner
2011
EN
PULITZER PRIZE WINNER • In a grand and immemsely readable synthesis of historical, political, cultural, and economic analysis, a prize-winning historian describes the events that made the American Revolution. Gordon S. Wood depicts a revolution that was about much more than a break from England, rather it transformed an almost feudal society into a democratic one, whose emerging realities sometimes baffled and disappointed its founding fathers.
Data Analysis with Open Source Tools
A Hands-On Guide for Programmers and Data Scientists
2010
EN
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through...
The Idea of America
Reflections on the Birth of the United States
2011
EN
Accessible
**“Exceptional... a remarkable study of the key chapter of American history and its ongoing influence on American character.”—Publishers Weekly (starred review)The Pulitzer Prize-winning historian of the Founding Era reflects on the birth of American nationhood and explains why the American Revolution remains so essential to our identity and culture.**For Gordon S. Wood, the American Revolution is the most important event in our history, bar none. Since American id...
Machine Learning with R
R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning.
2013
EN
Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.Intended for those who want to learn how to use R's machine learning capabilities and gain...











