The Addison-Wesley Science Handbook PDF Download
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Author: Gordon J. Coleman
Publisher: Addison-Wesley Longman
ISBN:
Category : Mathematics
Languages : en
Pages : 292
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Book Description
Brings together a broad range of essential science information. Both fundamental and advanced concepts are presented in table, glossaries and summaries for quick memory refreshers at all levels.
Author: Gordon J. Coleman
Publisher: Addison-Wesley Longman
ISBN:
Category : Mathematics
Languages : en
Pages : 292
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Book Description
Brings together a broad range of essential science information. Both fundamental and advanced concepts are presented in table, glossaries and summaries for quick memory refreshers at all levels.
Author:
Publisher:
ISBN: 9780201054040
Category : Science
Languages : en
Pages : 292
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Book Description
Author: Susan B. Horwitz
Publisher: Addison Wesley Publishing Company
ISBN: 9780201357554
Category : Computers
Languages : en
Pages : 324
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Book Description
This complete test guide for AP Computer Science Exam in C++ features four comprehensive sample exams to prepare for the exam day, covers a full range of C++ topics, includes an extensive glossary that provides quick reference and contains test-taking hints that pinpoint the important aspects of the questions included on the exam.
Author: Lawrence H. Van Vlack
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 574
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Book Description
Author: Andrew Kelleher
Publisher: Addison-Wesley Professional
ISBN: 0134116569
Category : Computers
Languages : en
Pages : 465
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Book Description
Foundational Hands-On Skills for Succeeding with Real Data Science Projects This pragmatic book introduces both machine learning and data science, bridging gaps between data scientist and engineer, and helping you bring these techniques into production. It helps ensure that your efforts actually solve your problem, and offers unique coverage of real-world optimization in production settings. –From the Foreword by Paul Dix, series editor Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory. Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish. The authors show just how much information you can glean with straightforward queries, aggregations, and visualizations, and they teach indispensable error analysis methods to avoid costly mistakes. They turn to workhorse machine learning techniques such as linear regression, classification, clustering, and Bayesian inference, helping you choose the right algorithm for each production problem. Their concluding section on hardware, infrastructure, and distributed systems offers unique and invaluable guidance on optimization in production environments. Andrew and Adam always focus on what matters in production: solving the problems that offer the highest return on investment, using the simplest, lowest-risk approaches that work. Leverage agile principles to maximize development efficiency in production projects Learn from practical Python code examples and visualizations that bring essential algorithmic concepts to life Start with simple heuristics and improve them as your data pipeline matures Avoid bad conclusions by implementing foundational error analysis techniques Communicate your results with basic data visualization techniques Master basic machine learning techniques, starting with linear regression and random forests Perform classification and clustering on both vector and graph data Learn the basics of graphical models and Bayesian inference Understand correlation and causation in machine learning models Explore overfitting, model capacity, and other advanced machine learning techniques Make informed architectural decisions about storage, data transfer, computation, and communication Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: Eugene Charniak
Publisher: Addison Wesley Publishing Company
ISBN: 9780201119459
Category : Computers
Languages : en
Pages : 724
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Book Description
Author: Lionel Sandner
Publisher: Toronto: Pearson Education Canada
ISBN: 9780201729689
Category : Science
Languages : en
Pages : 510
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Book Description
Author: John Horgan
Publisher: Basic Books
ISBN: 0465050859
Category : Science
Languages : en
Pages : 368
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Book Description
As staff writer for Scientific American, John Horgan has a window on contemporary science unsurpassed in all the world. Who else routinely interviews the likes of Lynn Margulis, Roger Penrose, Francis Crick, Richard Dawkins, Freeman Dyson, Murray Gell-Mann, Stephen Jay Gould, Stephen Hawking, Thomas Kuhn, Chris Langton, Karl Popper, Stephen Weinberg, and E.O. Wilson, with the freedom to probe their innermost thoughts? In The End Of Science, Horgan displays his genius for getting these larger-than-life figures to be simply human, and scientists, he writes, "are rarely so human . . . so at there mercy of their fears and desires, as when they are confronting the limits of knowledge."This is the secret fear that Horgan pursues throughout this remarkable book: Have the big questions all been answered? Has all the knowledge worth pursuing become known? Will there be a final "theory of everything" that signals the end? Is the age of great discoverers behind us? Is science today reduced to mere puzzle solving and adding detains to existing theories? Horgan extracts surprisingly candid answers to there and other delicate questions as he discusses God, Star Trek, superstrings, quarks, plectics, consciousness, Neural Darwinism, Marx's view of progress, Kuhn's view of revolutions, cellular automata, robots, and the Omega Point, with Fred Hoyle, Noam Chomsky, John Wheeler, Clifford Geertz, and dozens of other eminent scholars. The resulting narrative will both infuriate and delight as it mindless Horgan's smart, contrarian argument for "endism" with a witty, thoughtful, even profound overview of the entire scientific enterprise. Scientists have always set themselves apart from other scholars in the belief that they do not construct the truth, they discover it. Their work is not interpretation but simple revelation of what exists in the empirical universe. But science itself keeps imposing limits on its own power. Special relativity prohibits the transmission of matter or information as speeds faster than that of light; quantum mechanics dictates uncertainty; and chaos theory confirms the impossibility of complete prediction. Meanwhile, the very idea of scientific rationality is under fire from Neo-Luddites, animal-rights activists, religious fundamentalists, and New Agers alike. As Horgan makes clear, perhaps the greatest threat to science may come from losing its special place in the hierarchy of disciplines, being reduced to something more akin to literaty criticism as more and more theoreticians engage in the theory twiddling he calls "ironic science." Still, while Horgan offers his critique, grounded in the thinking of the world's leading researchers, he offers homage too. If science is ending, he maintains, it is only because it has done its work so well.
Author:
Publisher: Prentice Hall
ISBN: 9780131930308
Category : Science
Languages : en
Pages : 0
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Book Description
Longman Science prepares students in grades 6-12 for success in a standards-based science program with a broad overview of life, earth, and physical science. All activities are specifically geared to students in the early stages of English language acquisition, and help build content knowledge, skills, and learning strategies. Special offer: Take advantage of our special offer: get the Longman Science Student Book and Workbook for only $44.95. That's 25% off the regular price of these two books combined. Click here for details. Features For beginning to high beginning English language learners. "Getting Started" unit introduces concepts of science, safety, and the scientific method. Reading strategies are explicitly taught and modeled throughout the readings. Science skills, such as using and interpreting visuals, charts, and graphs are taught and recycled throughout each lesson. Unit Review provides additional practice, extension projects, further reading, and a Unit Experiment. Vocabulary building activities and glossaries help students access and build mastery of the content.
Author: Sara Baase
Publisher: Pearson Education India
ISBN: 9788131702444
Category :
Languages : en
Pages : 710
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Book Description
