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Dogs And Data Science

Author : Camille Denning
ISBN : 9090320407
Genre : Juvenile Fiction
File Size : 65. 22 MB
Format : PDF, ePub
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A rhyming children's storybook that uses a dog-filled analogy to provide an accessible definition of data science. Mia is a young girl that loves to learn. With her dog, Bowie, she goes on an adventure to learn everything about every dog in the world. Along the way, she finds out that the challenge is bigger than she thought, and she might just need a helping hand... or keyboard!

The 9 Pitfalls Of Data Science

Author : Jay Cordes
ISBN : 9780198844396
Genre :
File Size : 56. 58 MB
Format : PDF, ePub
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Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. The 9 Pitfalls of Data Science shows us real-world examples of what can go wrong. Written to be an entertaining read, this invaluable guide investigates the all too common mistakes of data scientists - who can be plagued by lazy thinking, whims, hunches, and prejudices - and indicates how they have been at the root of many disasters, including the Great Recession. Gary Smith and Jay Cordes emphasise how scientific rigor and critical thinking skills are indispensable in this age of Big Data, as machines often find meaningless patterns that can lead to dangerous false conclusions. The 9 Pitfalls of Data Science is loaded with entertaining tales of both successful and misguided approaches to interpreting data, both grand successes and epic failures. These cautionary tales will not only help data scientists be more effective, but also help the public distinguish between good and bad data science.

Java For Data Science

Author : Richard M. Reese
ISBN : 9781785281242
Genre : Computers
File Size : 57. 35 MB
Format : PDF, ePub
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Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is For This book is for Java developers who are comfortable developing applications in Java. Those who now want to enter the world of data science or wish to build intelligent applications will find this book ideal. Aspiring data scientists will also find this book very helpful. What You Will Learn Understand the nature and key concepts used in the field of data science Grasp how data is collected, cleaned, and processed Become comfortable with key data analysis techniques See specialized analysis techniques centered on machine learning Master the effective visualization of your data Work with the Java APIs and techniques used to perform data analysis In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this book, we cover the important data science concepts and how they are supported by Java, as well as the often statistically challenging techniques, to provide you with an understanding of their purpose and application. The book starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. The next section examines the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. The final chapter illustrates an in-depth data science problem and provides a comprehensive, Java-based solution. Due to the nature of the topic, simple examples of techniques are presented early followed by a more detailed treatment later in the book. This permits a more natural introduction to the techniques and concepts presented in the book. Style and approach This book follows a tutorial approach, providing examples of each of the major concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.

Java Data Science Made Easy

Author : Richard M. Reese
ISBN : 9781788479189
Genre : Computers
File Size : 85. 15 MB
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Data collection, processing, analysis, and more About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples A highly practical course covering a broad set of topics - from the basics of Machine Learning to Deep Learning and Big Data frameworks. Who This Book Is For This course is meant for Java developers who are comfortable developing applications in Java, and now want to enter the world of data science or wish to build intelligent applications. Aspiring data scientists with some understanding of the Java programming language will also find this book to be very helpful. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing your existing Java stack, this book is for you! What You Will Learn Understand the key concepts of data science Explore the data science ecosystem available in Java Work with the Java APIs and techniques used to perform efficient data analysis Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images, and create your own search Learn how to build deep neural networks with DeepLearning4j Build data science applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries.The course starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. You will examine the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem. You will cover a wide range of topics – from classification and regression, to dimensionality reduction and clustering, deep learning and working with Big Data. Finally, you will see the different ways to deploy the model and evaluate it in production settings. By the end of this course, you will be up and running with various facets of data science using Java, in no time at all. This course contains premium content from two of our recently published popular titles: Java for Data Science Mastering Java for Data Science Style and approach This course follows a tutorial approach, providing examples of each of the concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.

Python Data Science Cookbook

Author : Gopi Subramanian
ISBN : 9781784393663
Genre : Computers
File Size : 62. 96 MB
Format : PDF, Mobi
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Over 60 practical recipes to help you explore Python and its robust data science capabilities About This Book The book is packed with simple and concise Python code examples to effectively demonstrate advanced concepts in action Explore concepts such as programming, data mining, data analysis, data visualization, and machine learning using Python Get up to speed on machine learning algorithms with the help of easy-to-follow, insightful recipes Who This Book Is For This book is intended for all levels of Data Science professionals, both students and practitioners, starting from novice to experts. Novices can spend their time in the first five chapters getting themselves acquainted with Data Science. Experts can refer to the chapters starting from 6 to understand how advanced techniques are implemented using Python. People from non-Python backgrounds can also effectively use this book, but it would be helpful if you have some prior basic programming experience. What You Will Learn Explore the complete range of Data Science algorithms Get to know the tricks used by industry engineers to create the most accurate data science models Manage and use Python libraries such as numpy, scipy, scikit learn, and matplotlib effectively Create meaningful features to solve real-world problems Take a look at Advanced Regression methods for model building and variable selection Get a thorough understanding of the underlying concepts and implementation of Ensemble methods Solve real-world problems using a variety of different datasets from numerical and text data modalities Get accustomed to modern state-of-the art algorithms such as Gradient Boosting, Random Forest, Rotation Forest, and so on In Detail Python is increasingly becoming the language for data science. It is overtaking R in terms of adoption, it is widely known by many developers, and has a strong set of libraries such as Numpy, Pandas, scikit-learn, Matplotlib, Ipython and Scipy, to support its usage in this field. Data Science is the emerging new hot tech field, which is an amalgamation of different disciplines including statistics, machine learning, and computer science. It's a disruptive technology changing the face of today's business and altering the economy of various verticals including retail, manufacturing, online ventures, and hospitality, to name a few, in a big way. This book will walk you through the various steps, starting from simple to the most complex algorithms available in the Data Science arsenal, to effectively mine data and derive intelligence from it. At every step, we provide simple and efficient Python recipes that will not only show you how to implement these algorithms, but also clarify the underlying concept thoroughly. The book begins by introducing you to using Python for Data Science, followed by working with Python environments. You will then learn how to analyse your data with Python. The book then teaches you the concepts of data mining followed by an extensive coverage of machine learning methods. It introduces you to a number of Python libraries available to help implement machine learning and data mining routines effectively. It also covers the principles of shrinkage, ensemble methods, random forest, rotation forest, and extreme trees, which are a must-have for any successful Data Science Professional. Style and approach This is a step-by-step recipe-based approach to Data Science algorithms, introducing the math philosophy behind these algorithms.

Analytical Skills For Ai And Data Science

Author : Daniel Vaughan
ISBN : 9781492060918
Genre : Computers
File Size : 28. 21 MB
Format : PDF, ePub, Mobi
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While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs. Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You’ll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues. Break business decisions into stages that can be tackled using different skills from the analytical toolbox Identify and embrace uncertainty in decision making and protect against common human biases Customize optimal decisions to different customers using predictive and prescriptive methods and technologies Ask business questions that create high value through AI- and data-driven technologies

Laboratory Animal Science

Author :
ISBN : UCSC:32106014743733
Genre : Laboratory animals
File Size : 53. 19 MB
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Advances In Data Science And Classification

Author : International Federation of Classification Societies. Conference
ISBN : UOM:39015059099708
Genre : Business & Economics
File Size : 36. 37 MB
Format : PDF
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International Federation of Classification Societies The International Federation of Classification Societies (lFCS) is an agency for the dissemination of technical and scientific information concerning classification and multivariate data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) by the following Scientific Societies and Groups: - British Classification Society - BCS - Classification Society of North America - CSNA - Gesellschaft fUr Klassification - GfKI - Japanese Classification Society - JCS - Classification Group ofItalian Statistical Society - CGSIS - Societe Francophone de Classification - SFC Now the IFCS includes also the following Societies: - Dutch-Belgian Classification Society - VOC - Polish Classification Section - SKAD - Portuguese Classification Association - CLAD - Group at Large - Korean Classification Society - KCS IFCS-98, the Sixth Conference of the International Federation of Classification Societies, was held in Rome, from July 21 to 24, 1998. Five preceding conferences were held in Aachen (Germany), Charlottesville (USA), Edinburgh (UK), Paris (France), Kobe (Japan).

Science

Author :
ISBN : UCSB:31205034615391
Genre : Science
File Size : 47. 26 MB
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The Colonial Monthly

Author :
ISBN : STANFORD:36105012334954
Genre :
File Size : 67. 24 MB
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Proceedings Of The Indiana Academy Of Science

Author : Indiana Academy of Science
ISBN : UOM:39015015753463
Genre : Science
File Size : 30. 98 MB
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List of members in each volume.

Transactions Of The Kentucky Academy Of Science

Author : Kentucky Academy of Science
ISBN : OSU:32435059099374
Genre : Science
File Size : 39. 4 MB
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List of members in v. 1-

Magill S Encyclopedia Of Social Science Data Description

Author : Nancy A. Piotrowski
ISBN : 1587651327
Genre : Psychology
File Size : 72. 12 MB
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"A comprehensive introduction to psychology, this work will find a home in a broad range of library collections. Each topical entry includes notes on the type of psychology and field of study covered, a list of key concepts related to the essay, and an annotated list of sources for further study. Entries on mental disorders include sidebars with the characteristic criteria for that diagnosis. High school students, undergraduates, and others will find a wealth of information in this useful set."--"The Top 20 Reference Titles of the Year," American Libraries, May 2004.

Journal Of Animal Science

Author :
ISBN : UCAL:B4332341
Genre : Livestock
File Size : 66. 80 MB
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Cardiovascular And Renal Actions Of Dopamine

Author : P. Soares-da-Silva
ISBN : UOM:39015033119697
Genre : Medical
File Size : 57. 17 MB
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A review of current knowledge on the peripheral actions of dopamine; the role of renal dopamine in water and electrolyte homeostasis; and the relevance of peripheral dopaminergic mechanisms in the development and maintenance of some cardiovascular and renal disorders.

New Scientist

Author :
ISBN : UCSD:31822033926221
Genre : Science
File Size : 50. 55 MB
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Philosophical Aspects Of Modern Science

Author : Cyril Edwin Mitchinson Joad
ISBN : PSU:000016965317
Genre : Science
File Size : 25. 6 MB
Format : PDF
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Florence The Data Scientist And Her Magical Bookmobile

Author : Ryan Kelly
ISBN : 1735971901
Genre :
File Size : 51. 10 MB
Format : PDF, Mobi
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Florence the Data Scientist and Her Magical Bookmobile is a picture book for young readers that explores and explains one of today's most important and fastest-growing professions: data science! How can recording and analyzing data for patterns help make predictions about the future? Join Beatrice as she finds out. Beatrice loves four different things: reading, science, dragons, and swings! When a mysterious bookmobile drives down her street, the driver Florence knows exactly what books will delight all the kids in the neighborhood. But how?! Beatrice watches the scene throughout the day to record and analyze each of her friend's responses to Florence's same questions. Is Florence a psychic? Or is there a logical pattern at play? Can Beatrice ensure she answers to get the outcome she craves? Florence the Data Scientist helps young readers (and their parents!) understand the amazing predictive power of recording and analyzing trends and data.

Journal Of The Minnesota Academy Of Science

Author : Minnesota Academy of Science
ISBN : UOM:39015038826411
Genre : Science
File Size : 85. 1 MB
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Science And Its Times 1950 Present

Author : Neil Schlager
ISBN : UVA:X004589647
Genre : Science
File Size : 89. 1 MB
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"This series discusses how the major fields of science developed during specific time periods. Each volume focuses on a range of years and includes developments in exploration, life sciences, mathematics, physical sciences, and technology. When the series is completed, the seven volumes will cover 2000 B.C. to the present."--"Outstanding Reference Sources," American Libraries, May 2001.

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