30 Second Data Science

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30-Second Data Science

Author : Liberty Vittert
Publisher : 30 Second
ISBN 13 : 0711259666
Total Pages : 163 pages
Book Rating : 4.7/5 (112 download)

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Book Synopsis 30-Second Data Science by : Liberty Vittert

Download or read book 30-Second Data Science written by Liberty Vittert and published by 30 Second. This book was released on 2020-09-29 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science is an entirely new discipline that encompasses a new era of information, from finding criminals to predicting epidemics. But there's more to it than the vast quantities of information gathered by our computers, smartphones, and credit cards. Carefully compiled by experts in the field, 30-Second Data Science covers the basic statistical principles that drive the algorithms, how data affects us in every way-science, society, business, pleasure-along with the ethical quandaries and its future promise of a better world. Each 30-Second entry details a different facet of data science in just 300 words and one picture, showing how the concept of bringing together different types of data, and using powerful computer programs to find patterns no human eye could spot, is already transforming our world.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

30-SECOND BIG DATA

Author :
Publisher :
ISBN 13 : 9781782408932
Total Pages : pages
Book Rating : 4.4/5 (89 download)

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Book Synopsis 30-SECOND BIG DATA by :

Download or read book 30-SECOND BIG DATA written by and published by . This book was released on 2023-02-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data Science in Finance

Author : Irene Aldridge
Publisher : John Wiley & Sons
ISBN 13 : 111960298X
Total Pages : 336 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Big Data Science in Finance by : Irene Aldridge

Download or read book Big Data Science in Finance written by Irene Aldridge and published by John Wiley & Sons. This book was released on 2021-01-27 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.

Data Science

Author : Vijay Kotu
Publisher : Morgan Kaufmann
ISBN 13 : 0128147628
Total Pages : 568 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Science by : Vijay Kotu

Download or read book Data Science written by Vijay Kotu and published by Morgan Kaufmann. This book was released on 2018-11-27 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. You’ll be able to: Gain the necessary knowledge of different data science techniques to extract value from data. Master the concepts and inner workings of 30 commonly used powerful data science algorithms. Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more... Contains fully updated content on data science, including tactics on how to mine business data for information Presents simple explanations for over twenty powerful data science techniques Enables the practical use of data science algorithms without the need for programming Demonstrates processes with practical use cases Introduces each algorithm or technique and explains the workings of a data science algorithm in plain language Describes the commonly used setup options for the open source tool RapidMiner

Practical Statistics for Data Scientists

Author : Peter Bruce
Publisher : O'Reilly Media
ISBN 13 : 1492072915
Total Pages : 363 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce

Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by O'Reilly Media. This book was released on 2020-04-10 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data

Science Bulletin

Author :
Publisher :
ISBN 13 :
Total Pages : 1368 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Science Bulletin by :

Download or read book Science Bulletin written by and published by . This book was released on 1927 with total page 1368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Devoted to the publication of the results of research by members of the University of Kansas.

The University of Kansas Science Bulletin

Author :
Publisher :
ISBN 13 :
Total Pages : 1076 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis The University of Kansas Science Bulletin by :

Download or read book The University of Kansas Science Bulletin written by and published by . This book was released on 1927 with total page 1076 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Data Science for Social and Policy Research

Author : Jose Manuel Magallanes Reyes
Publisher : Cambridge University Press
ISBN 13 : 110836411X
Total Pages : 317 pages
Book Rating : 4.1/5 (83 download)

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Book Synopsis Introduction to Data Science for Social and Policy Research by : Jose Manuel Magallanes Reyes

Download or read book Introduction to Data Science for Social and Policy Research written by Jose Manuel Magallanes Reyes and published by Cambridge University Press. This book was released on 2017-09-21 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources into a comprehensive data set; and storage using third-party tools to facilitate access and shareability, from Google Docs to GitHub. Assuming no prior knowledge of R and Python, the author introduces programming concepts gradually, using real data sets that provide the reader with practical, functional experience.

Data Science Programming All-in-One For Dummies

Author : John Paul Mueller
Publisher : John Wiley & Sons
ISBN 13 : 1119626110
Total Pages : 768 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Data Science Programming All-in-One For Dummies by : John Paul Mueller

Download or read book Data Science Programming All-in-One For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2020-01-09 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!

Handbook of Information for Freshmen in the College of Liberal Arts

Author : University of Cincinnati
Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Handbook of Information for Freshmen in the College of Liberal Arts by : University of Cincinnati

Download or read book Handbook of Information for Freshmen in the College of Liberal Arts written by University of Cincinnati and published by . This book was released on 1927 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:

30-Second Numbers

Author : Niamh Nic Daéid
Publisher : 30 Second
ISBN 13 : 1782408479
Total Pages : 163 pages
Book Rating : 4.7/5 (824 download)

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Book Synopsis 30-Second Numbers by : Niamh Nic Daéid

Download or read book 30-Second Numbers written by Niamh Nic Daéid and published by 30 Second. This book was released on 2020-03-03 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: 30-Second Numbers highlights 50 key topics for understanding numbers and how we use them, each explained in half a minute.

Data Science For Dummies

Author : Lillian Pierson
Publisher : John Wiley & Sons
ISBN 13 : 1119811619
Total Pages : 436 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Data Science For Dummies by : Lillian Pierson

Download or read book Data Science For Dummies written by Lillian Pierson and published by John Wiley & Sons. This book was released on 2021-08-20 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.

Scandinavian Scientific Review

Author : Martin Luther Reymert
Publisher :
ISBN 13 :
Total Pages : 658 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis Scandinavian Scientific Review by : Martin Luther Reymert

Download or read book Scandinavian Scientific Review written by Martin Luther Reymert and published by . This book was released on 1922 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes section "Book reviews".

Radio Science

Author :
Publisher :
ISBN 13 :
Total Pages : 94 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Radio Science by :

Download or read book Radio Science written by and published by . This book was released on 1973 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Science & Technology Review

Author :
Publisher :
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Science & Technology Review by :

Download or read book Science & Technology Review written by and published by . This book was released on 1995 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Essentials of Data Science and Analytics

Author : Amar Sahay
Publisher :
ISBN 13 : 9781803162072
Total Pages : 0 pages
Book Rating : 4.1/5 (62 download)

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Book Synopsis Essentials of Data Science and Analytics by : Amar Sahay

Download or read book Essentials of Data Science and Analytics written by Amar Sahay and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines the key concepts of data science and analytics to help you gain a practical understanding of these fields.