Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    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.

     Four interwoven themes support the major recent developments in the rapidly changing field of biopsychology. Thousands of new references and dozens of new topics have been added to this edition, making Pinel's discussion of and focus on the human element easy and interesting to read. For those interested in physiological and biological psychology.

    It is suitable for a one or two semester university course on AI, as well as for researchers in the field.

    Jon has done a wonderful job of updating the material. I am very impressed at how fresh the new examples seem." - Steve McConnell, author, Code CompleteWhen programmers list their favorite books, Jon Bentley's collection of programming pearls is commonly included among the classics. Just as natural pearls grow from grains of sand that irritate oysters, programming pearls have grown from real problems that have irritated real programmers. With origins beyond solid engineering, in the realm of insight and creativity, Bentley's pearls offer unique and clever solutions to those nagging problems. Illustrated by programs designed as much for fun as for instruction, the book is filled with lucid and witty descriptions of practical programming techniques and fundamental design principles. It is not at all surprising that Programming Pearls has been so highly valued by programmers at every level of experience. In this revision, the first in 14 years, Bentley has substantially updated his essays to reflect current programming methods and environments. In addition, there are three new essays on (1) testing, debugging, and timing; (2) set representations; and (3) string problems. All the original programs have been rewritten, and an equal amount of new code has been generated. Implementations of all the programs, in C or C++, are now available on the Web.What remains the same in this new edition is Bentley's focus on the hard core of programming problems and his delivery of workable solutions to those problems. Whether you are new to Bentley's classic or are revisiting his work for some fresh insight, this book is sure to make your own list of favorites.

    Today, says Dale Purves, the dominant research agenda may have taken us as far as it can--and neuroscientists may be approaching a paradigm shift. In this highly personal book, Purves reveals how we got to this point and offers his notion of where neuroscience may be headed next. Purves guides you through a half-century of the most influential ideas in neuroscience and introduces the extraordinary scientists and physicians who created and tested them. Purves offers a critical assessment of the paths that neuroscience research has taken, their successes and their limitations, and then introduces an alternative approach for thinking about brains. Building on new research on visual perception, he shows why common ideas about brain networks can't be right and uncovers the factors that determine our subjective experience. The resulting insights offer a deeper understanding of what it means to be human. - Why we need a better conception of what brains are trying to do and how they do it Approaches to understanding the brain over the past several decades may be at an impasse - The surprising lessons that can be learned from what we see How complex neural processes owe more to trial-and-error experience than to logical principles - Brains--and the people who think about them Meet some of the extraordinary individuals who've shaped neuroscience - The -ghost in the machine- problem The ideas presented further undermine the concept of free will

    In 'Wednesday is Indigo Blue', pioneering researcher Richard Cytowic and distinguished neuroscientist David Eagleman explain the neuroscience and genetics behind synesthesia's multisensory experiences.

    Collected from the series of blog posts starting at: https://bartoszmilewski.com/2014/10/2...Hardcover available at: http://www.blurb.com/b/9008339-catego...

    In 1935, aged 22, he developed the mathematical theory upon which all subsequent stored-program digital computers are modeled.At the outbreak of hostilities with Germany in September 1939, he joined the Government Codebreaking team at Bletchley Park, Buckinghamshire and played a crucial role in deciphering Engima, the code used by the German armed forces to protect their radio communications. Turing's work on the versionof Enigma used by the German navy was vital to the battle for supremacy in the North Atlantic. He also contributed to the attack on the cyphers known as Fish, which were used by the German High Command for the encryption of signals during the latter part of the war. His contribution helped toshorten the war in Europe by an estimated two years.After the war, his theoretical work led to the development of Britain's first computers at the National Physical Laboratory and the Royal Society Computing Machine Laboratory at Manchester University.Turing was also a founding father of modern cognitive science, theorizing that the cortex at birth is an unorganized machine which through training becomes organized into a universal machine or something like it. He went on to develop the use of computers to model biological growth, launchingthe discipline now referred to as Artificial Life.The papers in this book are the key works for understanding Turing's phenomenal contribution across all these fields. The collection includes Turing's declassified wartime Treatise on the Enigma; letters from Turing to Churchill and to codebreakers; lectures, papers, and broadcasts which opened upthe concept of AI and its implications; and the paper which formed the genesis of the investigation of Artifical Life.

    Yet, despite the astonishing discoveries of science, we still have only the vaguest idea of how the brain works. In The Idea of the Brain, scientist and historian Matthew Cobb traces how our conception of the brain has evolved over the centuries. Although it might seem to be a story of ever-increasing knowledge of biology, Cobb shows how our ideas about the brain have been shaped by each era's most significant technologies. Today we might think the brain is like a supercomputer. In the past, it has been compared to a telegraph, a telephone exchange, or some kind of hydraulic system. What will we think the brain is like tomorrow, when new technology arises? The result is an essential read for anyone interested in the complex processes that drive science and the forces that have shaped our marvelous brains.

    With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

    Operations on the brain carry grave risks. Every day, leading neurosurgeon Henry Marsh must make agonizing decisions, often in the face of great urgency and uncertainty.If you believe that brain surgery is a precise and exquisite craft, practiced by calm and detached doctors, this gripping, brutally honest account will make you think again. With astonishing compassion and candor, Marsh reveals the fierce joy of operating, the profoundly moving triumphs, the harrowing disasters, the haunting regrets, and the moments of black humor that characterize a brain surgeon's life.Do No Harm provides unforgettable insight into the countless human dramas that take place in a busy modern hospital. Above all, it is a lesson in the need for hope when faced with life's most difficult decisions.

    Johnson. It was the first book exclusively on the theory of NP-completeness and computational intractability. The book features an appendix providing a thorough compendium of NP-complete problems (which was updated in later printings of the book). The book is now outdated in some respects as it does not cover more recent development such as the PCP theorem. It is nevertheless still in print and is regarded as a classic: in a 2006 study, the CiteSeer search engine listed the book as the most cited reference in computer science literature.

    If reason is so useful, why didn't it also evolve in other animals? If reason is that reliable, why do we produce so much thoroughly reasoned nonsense? In their groundbreaking account of the evolution and workings of reason, Hugo Mercier and Dan Sperber set out to solve this double enigma. Reason, they argue with a compelling mix of real-life and experimental evidence, is not geared to solitary use, to arriving at better beliefs and decisions on our own. What reason does, rather, is help us justify our beliefs and actions to others, convince them through argumentation, and evaluate the justifications and arguments that others address to us.In other words, reason helps humans better exploit their uniquely rich social environment. This interactionist interpretation explains why reason may have evolved and how it fits with other cognitive mechanisms. It makes sense of strengths and weaknesses that have long puzzled philosophers and psychologists--why reason is biased in favor of what we already believe, why it may lead to terrible ideas and yet is indispensable to spreading good ones.Ambitious, provocative, and entertaining, The Enigma of Reason will spark debate among psychologists and philosophers, and make many reasonable people rethink their own thinking.