Addison Wesley Science 10 PDF Download
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Author: Lionel Sandner
Publisher: Toronto: Pearson Education Canada
ISBN: 9780201729689
Category : Science
Languages : en
Pages : 510
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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: 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: 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: Antony C. Wilbraham
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages :
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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: Jeffrey D. Ullman
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 344
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Book Description
Author: Sara Baase
Publisher: Pearson Education India
ISBN: 9788131702444
Category :
Languages : en
Pages : 710
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Book Description
Author: Paul G Hewitt
Publisher: Pearson Higher Ed
ISBN: 1292036265
Category : Science
Languages : en
Pages : 983
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Book Description
This best-selling introduction to the physical and life sciences emphasises concepts over computation and treats equations as a guide to thinking so the reader can connect ideas. Conceptual Integrated Science covers physics, chemistry, earth science, astronomy, and biology at a level appropriate for non-science students. The conceptual approach relates science to everyday life, is personal and direct, de-emphasises jargon, and emphasises central ideas. The conceptual ideas serve as the foundation supporting and integrating all the sciences. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
