Book picks similar to
Analyzing Neural Time Series Data: Theory and Practice by Mike X. Cohen
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The Code of Extraordinary Change
Steve Errey - 2012
More than a manifesto, The Code of Extraordinary Change cracks life wide open, taking you to a place where you're confident, capable and compelled to get out there and put a you-shaped dent in the universe.Containing a set of principles, ideas and specific actions learned from over 10 years of experience in coaching individuals on being naturally self-confident, the Code is a model for building natural confidence and creating and sustaining meaningful change.Get the Code of Extraordinary Change now and go dent the universe.
Chemical Reaction Engineering
Octave Levenspiel - 1962
It's goal is the successful design and operation of chemical reactors. This text emphasizes qualitative arguments, simple design methods, graphical procedures, and frequent comparison of capabilities of the major reactor types. Simple ideas are treated first, and are then extended to the more complex.
Learn Python The Hard Way
Zed A. Shaw - 2010
The title says it is the hard way to learn to writecode but it’s actually not. It’s the “hard” way only in that it’s the way people used to teach things. In this book youwill do something incredibly simple that all programmers actually do to learn a language: 1. Go through each exercise. 2. Type in each sample exactly. 3. Make it run.That’s it. This will be very difficult at first, but stick with it. If you go through this book, and do each exercise for1-2 hours a night, then you’ll have a good foundation for moving on to another book. You might not really learn“programming” from this book, but you will learn the foundation skills you need to start learning the language.This book’s job is to teach you the three most basic essential skills that a beginning programmer needs to know:Reading And Writing, Attention To Detail, Spotting Differences.
Trick or Treatment: The Undeniable Facts about Alternative Medicine
Simon Singh - 2008
In this groundbreaking analysis, over thirty of the most popular treatments—acupuncture, homeopathy, aromatherapy, reflexology, chiropractic, and herbal medicines—are examined for their benefits and potential dangers. Questions answered include: What works and what doesn't? What are the secrets, and what are the lies? Who can you trust, and who is ripping you off? Can science decide what is best, or do the old wives' tales really tap into ancient, superior wisdom?In their scrutiny of alternative and complementary cures, authors Simon Singh and Edzard Ernst also strive to reassert the primacy of the scientific method as a means for determining public health practice and policy.
Programming in Scala
Martin Odersky - 2008
Coauthored by the designer of the Scala language, this authoritative book will teach you, one step at a time, the Scala language and the ideas behind it. The book is carefully crafted to help you learn. The first few chapters will give you enough of the basics that you can already start using Scala for simple tasks. The entire book is organized so that each new concept builds on concepts that came before - a series of steps that promises to help you master the Scala language and the important ideas about programming that Scala embodies. A comprehensive tutorial and reference for Scala, this book covers the entire language and important libraries.
Introduction to the Theory of Computation
Michael Sipser - 1996
Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.
The Future of the Mind: The Scientific Quest to Understand, Enhance, and Empower the Mind
Michio Kaku - 2014
For the first time in history, the secrets of the living brain are being revealed by a battery of high tech brain scans devised by physicists. Now what was once solely the province of science fiction has become a startling reality. Recording memories, telepathy, videotaping our dreams, mind control, avatars, and telekinesis are not only possible; they already exist. The Future of the Mind gives us an authoritative and compelling look at the astonishing research being done in top laboratories around the world—all based on the latest advancements in neuroscience and physics. One day we might have a "smart pill" that can enhance our cognition; be able to upload our brain to a computer, neuron for neuron; send thoughts and emotions around the world on a "brain-net"; control computers and robots with our mind; push the very limits of immortality; and perhaps even send our consciousness across the universe. Dr. Kaku takes us on a grand tour of what the future might hold, giving us not only a solid sense of how the brain functions but also how these technologies will change our daily lives. He even presents a radically new way to think about "consciousness" and applies it to provide fresh insight into mental illness, artificial intelligence and alien consciousness. With Dr. Kaku's deep understanding of modern science and keen eye for future developments, The Future of the Mind is a scientific tour de force--an extraordinary, mind-boggling exploration of the frontiers of neuroscience.
Through the Language Glass: Why the World Looks Different in Other Languages
Guy Deutscher - 2010
But now, acclaimed linguist Guy Deutscher has dared to reopen the issue. Can culture influence language —and vice versa? Can different languages lead their speakers to different thoughts? Could our experience of the world depend on whether our language has a word for "blue"?Challenging the consensus that the fundaments of language are hard-wired in our genes and thus universal, Deutscher argues that the answer to all these questions is—yes. In thrilling fashion, he takes us from Homer to Darwin, from Yale to the Amazon, from how to name the rainbow to why Russian water —a "she"— becomes a "he" once you dip a tea bag into her, demonstrating that language does in fact reflect culture in ways that are anything but trivial.
Fractured Minds: A Case-Study Approach to Clinical Neuropsychology
Jenni Ogden - 1996
At one level, this is a book about the courage, humor, and determination to triumph over illness and disability that many "ordinary people" demonstrate when coping with the extraordinary stress of a brain disorder. At another level, it is a well-referenced and up-to-date textbook that provides a holistic view of the practice of clinical neuropsychology. Included are reader-friendly descriptions and explanations of a wide range of neurological disorders and neuroscientific concepts. Two introductory chapters are followed by 17 chapters that each focus on a specific disorder and include research, clinical assessment, rehabilitation, and a detailed case study. Disorders range across the full spectrum from common ones such as traumatic brain injury and dementia, to rare disorder such as autotopagnosia. Each of the 16 chapters retained from the first edition has been revised to reflect current research and clinical advances. Three new chapters on multiple sclerosis, Parkinson's disease, and Huntington's disease incorporate discussion of important current topics such as genetically-transmitted diseases, genetic counseling, gene transplantation, functional neurosurgery, and the complex ethical issues that go hand-in-hand with these new techniques. This informative and engaging book will be of interest to students of clinical psychology, neuropsychology, and neurology, health professionals who work with neurological patients, neurological patients and their families, and lay readers who are simply fascinated by the mind and brain.
Machine Learning: A Probabilistic Perspective
Kevin P. Murphy - 2012
Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Ubuntu Linux Toolbox: 1000+ Commands for Ubuntu and Debian Power Users
Christopher Negus - 2007
Try out more than 1,000 commands to find and get software, monitor system health and security, and access network resources. Then, apply the skills you learn from this book to use and administer desktops and servers running Ubuntu, Debian, and KNOPPIX or any other Linux distribution.
Think Python
Allen B. Downey - 2002
It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.
Principles of Biochemistry
Albert L. Lehninger - 1970
Lehninger Principles of Biochemistry, Fourth Edition brings clarity and coherence to an often unwieldy discipline, while incorporating the field's most important recent developments and applications.
The C Programming Language
Brian W. Kernighan - 1978
It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.