Book picks similar to
Modern Statistics for Modern Biology by Susan Holmes
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medicine-and-biology
statsml
bioinformatics
Introductory Statistics
Prem S. Mann - 2006
The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 6th edition.
Data Mining: Practical Machine Learning Tools and Techniques
Ian H. Witten - 1999
This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915 0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)
Learning SAS by Example: A Programmer's Guide
Ron Cody - 2007
In an instructive and conversational tone, Cody clearly explains how to program SAS, illustrating with one or more real-life examples and giving a detailed description of how the program works.
Introduction to Machine Learning with Python: A Guide for Data Scientists
Andreas C. Müller - 2015
If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills
Why Size Matters: From Bacteria to Blue Whales
John Tyler Bonner - 2006
In his hallmark friendly style, he explores the universal impact of being the right size. By examining stories ranging from Alice in Wonderland to Gulliver's Travels, he shows that humans have always been fascinated by things big and small. Why then does size always reside on the fringes of science and never on the center stage? Why do biologists and others ponder size only when studying something else--running speed, life span, or metabolism? Why Size Matters, a pioneering book of big ideas in a compact size, gives size its due by presenting a profound yet lucid overview of what we know about its role in the living world. Bonner argues that size really does matter--that it is the supreme and universal determinant of what any organism can be and do. For example, because tiny creatures are subject primarily to forces of cohesion and larger beasts to gravity, a fly can easily walk up a wall, something we humans cannot even begin to imagine doing.Bonner introduces us to size through the giants and dwarfs of human, animal, and plant history and then explores questions including the physics of size as it affects biology, the evolution of size over geological time, and the role of size in the function and longevity of living things.As this elegantly written book shows, size affects life in its every aspect. It is a universal frame from which nothing escapes.
Textbook of Biochemistry with Clinical Correlations
Thomas M. Devlin - 1982
Devlin's Textbook of Biochemistry with Clinical Correlations presents the biochemistry of mammalian cells, relates events at a cellular level to the subsequent physiological processes in the whole animal, and cites examples of human diseases derived from aberrant biochemical processes. The organization and content are tied together to provide students with the complete picture of biochemistry and how it relates to humans. Loaded with new material and chapters and brimming with detailed, full-color illustrations that clearly explain associated concepts, this sixth edition is an indispensable tool for students and professionals in the medical or health sciences. Key Features of the Sixth Edition Over 250 Clinical Correlations highlighting the significance of the biochemistry to clinical conditions and diseases MCAT-Style Questions with annontated answers in every chapter - in a format similar to that used by the National Board of Medical Examiners More than 1,200 high-quality, full-color illustrations A concise appendix reviewing important Organic Chemistry Concepts New to the Sixth Edition: Fully Updated with a significant revision of all chapters and major topics Two new chapters: Fundamentals of Signal Transduction and Cell Cycle, Programmed Cell Death, and Cancer A Glossary that explains important biochemical terms New sections on the Basal Lamina Protein Complex and Molecular Motors
Deep Learning with Python
François Chollet - 2017
It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.
Microbiology: Principles and Explorations
Jacquelyn G. Black - 1992
Phages are also being used to detect and remove pathogens from our food supplies, both plant and animal. Also exciting is the use of phages as vehicles to delivery DNA vaccines, often directly to mammalian immune system cells. Recent work also suggests possible antitumor effects of phages. We stand on the edge of a whole new world of exploration and applications of microbiology. For over 20 years, and through five editions, Black's Microbiology: Principles and Explorations has captured students' imaginations. Her enthusiasm, passion, and knack for memorable stories and anecdotes bring the study of microbiology to life in a way few other texts can match. Now updated to reflect the latest topics in the field (e.g., SARS, bioterrorism, GMO's, geomicrobiology) and accompanied by state-of-the-art animations of key concepts, this new edition is sure to help inspire a new generation of enthusiasts for the dynamic science of microbiology. Critical Acclaim "I continue to find Black's text an excellent contribution to undergraduate Microbiology education." --Karen Messley, Rock Valley College "I like the conversational and informal style Black adopts throughout the book. This is a book, which could very well engage even the most reluctant student. It is comprehensive, nicely detailed, and incorporates many aids to teaching and learning..."--Iris Cook, Westchester CC "[The text] is a wonderful introduction into the world of microorganisms for students from a wide variety of backgrounds."--Jeff G. Leid, Northern Arizona University ..".I have found it [the book] accurate to a fault, brilliant at getting students motivated and interested in microbiology, and a great practical training book."--Gerard O'Donovan, University of North Texas Also available Laboratory Exercises in Microbiology, 2nd Edition Robert A. Pollack, et al. ISBN: 0-471-42082-4, 264 pages, paper, (c)2005 Written specifically for allied health students, this lab manual presents a variety of highly engaging activities and experiments that convey the basic concepts of microbiology.
Psychological Testing: Principles, Applications, and Issues
Robert M. Kaplan - 1982
Robert Kaplan and Dennis Saccuzzo provide students with a current analysis of the most widely used psychological tests in schools, professional training programs, business, industry, the military, and clinical settings. The authors offer a clear picture of how psychological tests are constructed, how they are used, and how an understanding of them can make a difference in their careers and everyday lives. Comprehensive and accurate, yet interesting and personally relevant, this book gets and keeps students' attention through the use of informal discussions and real-life examples.
Principles of Genetics
D. Peter Snustad - 1997
This clear, concise look at the basic principles and concepts of genetics uses a human genetics perspective to discuss the methods and experiments upon which genetic principles are based, such as DNA replication.
Essential Calculus
James Stewart - 2006
In writing the book James Stewart asked himself: What is essential for a three-semester calculus course for scientists and engineers? Stewart's ESSENTIAL CALCULUS offers a concise approach to teaching calculus that focuses on major concepts and supports those concepts with precise definitions, patient explanations, and carefully graded problems. Essential Calculus is only 850 pages-two-thirds the size of Stewart's other calculus texts (CALCULUS, Fifth Edition and CALCULUS, EARLY TRANSCENDENTALS, Fifth Edition)-and yet it contains almost all of the same topics. The author achieved this relative brevity mainly by condensing the exposition and by putting some of the features on the website, www.StewartCalculus.com. Despite the reduced size of the book, there is still a modern flavor: Conceptual understanding and technology are not neglected, though they are not as prominent as in Stewart's other books. ESSENTIAL CALCULUS has been written with the same attention to detail, eye for innovation, and meticulous accuracy that have made Stewart's textbooks the best-selling calculus texts in the world.
Numerical Analysis
Richard L. Burden - 1978
Explaining how, why, and when the techniques can be expected to work, the Seventh Edition places an even greater emphasis on building readers' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail. Applied problems from diverse areas, such as engineering and physical, computer, and biological sciences, are provided so readers can understand how numerical methods are used in real-life situations. The Seventh Edition has been updated and now addresses the evolving use of technology, incorporating it whenever appropriate.
The Scopes Trial: A Brief History with Documents
Jeffrey P. Moran - 2002
Tennessee schoolteacher John Scopes brought the question of teaching evolution in schools to every dinner table, and it remains an essential topic in any course on American History, the History of Education, and Religious History. This volume’s lively interpretative introduction provides an analysis of the trial and its impact on the moral fiber of the country and the educational system, and examines the race and gender issues that shook out of the debate. The editor has excerpted the crucial exchanges from the trial transcript itself, and includes these along with reactions to the trial, taken from newspaper reports, letters, and magazine articles. Telling political cartoons and evocative photographs add a colorful dimension to this collection, while a chronology of events, questions for consideration, and a bibliography provide strong pedagogical support.
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Michael J.A. Berry - 1997
Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problemsEach chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer supportThe authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data miningMore advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data miningCovers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis