Prediction Of Winning Percentage By Game Statistics In The Nba

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Statistics

Author : Robin H. Lock
Publisher : John Wiley & Sons
ISBN 13 : 1119163668
Total Pages : 819 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Statistics by : Robin H. Lock

Download or read book Statistics written by Robin H. Lock and published by John Wiley & Sons. This book was released on 2016-11-22 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics: Unlocking the Power of Data, 2nd Edition continues to utilize these intuitive methods like randomization and bootstrap intervals to introduce the fundamental idea of statistical inference. These methods are brought to life through authentically relevant examples, enabled through easy to use statistical software, and are accessible at very early stages of a course. The program includes the more traditional methods like t-tests, chi-square texts, etc. but only after students have developed a strong intuitive understanding of inference through randomization methods. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The program is driven by real data and real applications.

Optimal Sports Math, Statistics, and Fantasy

Author : Robert Kissell
Publisher : Academic Press
ISBN 13 : 0128052937
Total Pages : 354 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Optimal Sports Math, Statistics, and Fantasy by : Robert Kissell

Download or read book Optimal Sports Math, Statistics, and Fantasy written by Robert Kissell and published by Academic Press. This book was released on 2017-04-06 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Sports Math, Statistics, and Fantasy provides the sports community—students, professionals, and casual sports fans—with the essential mathematics and statistics required to objectively analyze sports teams, evaluate player performance, and predict game outcomes. These techniques can also be applied to fantasy sports competitions. Readers will learn how to: - Accurately rank sports teams - Compute winning probability - Calculate expected victory margin - Determine the set of factors that are most predictive of team and player performance Optimal Sports Math, Statistics, and Fantasy also illustrates modeling techniques that can be used to decode and demystify the mysterious computer ranking schemes that are often employed by post-season tournament selection committees in college and professional sports. These methods offer readers a verifiable and unbiased approach to evaluate and rank teams, and the proper statistical procedures to test and evaluate the accuracy of different models. Optimal Sports Math, Statistics, and Fantasy delivers a proven best-in-class quantitative modeling framework with numerous applications throughout the sports world. - Statistical approaches to predict winning team, probabilities, and victory margin - Procedures to evaluate the accuracy of different models - Detailed analysis of how mathematics and statistics are used in a variety of different sports - Advanced mathematical applications that can be applied to fantasy sports, player evaluation, salary negotiation, team selection, and Hall of Fame determination

Fuzzy Systems and Data Mining V

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
ISBN 13 : 1643680196
Total Pages : 1186 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Fuzzy Systems and Data Mining V by : A.J. Tallón-Ballesteros

Download or read book Fuzzy Systems and Data Mining V written by A.J. Tallón-Ballesteros and published by IOS Press. This book was released on 2019-11-06 with total page 1186 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fuzzy Systems and Data Mining (FSDM) conference is an annual event encompassing four main themes: fuzzy theory, algorithms and systems, which includes topics like stability, foundations and control; fuzzy application, which covers different kinds of processing as well as hardware and architectures for big data and time series and has wide applicability; the interdisciplinary field of fuzzy logic and data mining, encompassing applications in electrical, industrial, chemical and engineering fields as well as management and environmental issues; and data mining, outlining new approaches to big data, massive data, scalable, parallel and distributed algorithms. The annual conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry. This book includes the papers accepted and presented at the 5th International Conference on Fuzzy Systems and Data Mining (FSDM 2019), held in Kitakyushu, Japan on 18-21 October 2019. This year, FSDM received 442 submissions. All papers were carefully reviewed by program committee members, taking account of the quality, novelty, soundness, breadth and depth of the research topics falling within the scope of FSDM. The committee finally decided to accept 137 papers, which represents an acceptance rate of about 30%. The papers presented here are arranged in two sections: Fuzzy Sets and Data Mining, and Communications and Networks. Providing an overview of the most recent scientific and technological advances in the fields of fuzzy systems and data mining, the book will be of interest to all those working in these fields.

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Author : Cengiz Kahraman
Publisher : Springer
ISBN 13 : 3030237567
Total Pages : 1386 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making written by Cengiz Kahraman and published by Springer. This book was released on 2019-07-05 with total page 1386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Machine Learning and Data Mining in Pattern Recognition

Author : Petra Perner
Publisher : Springer
ISBN 13 : 3319624164
Total Pages : 462 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Machine Learning and Data Mining in Pattern Recognition by : Petra Perner

Download or read book Machine Learning and Data Mining in Pattern Recognition written by Petra Perner and published by Springer. This book was released on 2017-07-01 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Learning Data Mining with Python

Author : Robert Layton
Publisher : Packt Publishing Ltd
ISBN 13 : 178712956X
Total Pages : 348 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis Learning Data Mining with Python by : Robert Layton

Download or read book Learning Data Mining with Python written by Robert Layton and published by Packt Publishing Ltd. This book was released on 2017-04-27 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using Deep Neural Networks, and create insightful predictive models. About This Book Use a wide variety of Python libraries for practical data mining purposes. Learn how to find, manipulate, analyze, and visualize data using Python. Step-by-step instructions on data mining techniques with Python that have real-world applications. Who This Book Is For If you are a Python programmer who wants to get started with data mining, then this book is for you. If you are a data analyst who wants to leverage the power of Python to perform data mining efficiently, this book will also help you. No previous experience with data mining is expected. What You Will Learn Apply data mining concepts to real-world problems Predict the outcome of sports matches based on past results Determine the author of a document based on their writing style Use APIs to download datasets from social media and other online services Find and extract good features from difficult datasets Create models that solve real-world problems Design and develop data mining applications using a variety of datasets Perform object detection in images using Deep Neural Networks Find meaningful insights from your data through intuitive visualizations Compute on big data, including real-time data from the internet In Detail This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. This book covers a large number of libraries available in Python, including the Jupyter Notebook, pandas, scikit-learn, and NLTK. You will gain hands on experience with complex data types including text, images, and graphs. You will also discover object detection using Deep Neural Networks, which is one of the big, difficult areas of machine learning right now. With restructured examples and code samples updated for the latest edition of Python, each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will have great insights into using Python for data mining and understanding of the algorithms as well as implementations. Style and approach This book will be your comprehensive guide to learning the various data mining techniques and implementing them in Python. A variety of real-world datasets is used to explain data mining techniques in a very crisp and easy to understand manner.

Prediction Markets

Author : Leighton Vaughan Williams
Publisher : Routledge
ISBN 13 : 113671569X
Total Pages : 289 pages
Book Rating : 4.1/5 (367 download)

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Book Synopsis Prediction Markets by : Leighton Vaughan Williams

Download or read book Prediction Markets written by Leighton Vaughan Williams and published by Routledge. This book was released on 2011-06-16 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: How does one effectively aggregate disparate pieces of information that are spread among many different individuals? In other words, how does one best access the ‘wisdom of the crowd’? Prediction markets, which are essentially speculative markets created for the purpose of aggregating information and making predictions, offer the answer to this question. The effective use of these markets has the potential not only to help forecast future events on a national and international level, but also to assist companies, for example, in providing improved estimates of the potential market size for a new product idea or the launch date of new products and services. The markets have already been used to forecast uncertain outcomes ranging from influenza to the spread of infectious diseases, to the demand for hospital services, to the box office success of movies, climate change, vote shares and election outcomes, to the probability of meeting project deadlines. The insights gained also have many potentially valuable applications for public policy more generally. These markets offer substantial promise as a tool of information aggregation as well as forecasting, whether alone or as a supplement to other mechanisms like opinion surveys, group deliberations, panels of experts and focus groups. Moreover, they can be applied at a macroeconomic and microeconomic level to yield information that is valuable for government and commercial policy-makers and which can be used for a number of social purposes. This volume of original readings, contributed by many of the leading experts in the field, marks a significant addition to the base of knowledge about this fascinating subject area. The book should be of interest to anyone looking at monetary economics, economic forecasting and microeconomics.

Eureka

Author : Chad Orzel
Publisher : Basic Books
ISBN 13 : 0465044913
Total Pages : 225 pages
Book Rating : 4.4/5 (65 download)

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Book Synopsis Eureka by : Chad Orzel

Download or read book Eureka written by Chad Orzel and published by Basic Books. This book was released on 2014-12-09 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to science, too often people say "I just don't have the brains for it" -- and leave it at that. Why is science so intimidating, and why do people let themselves feel this way? What makes one person a scientist and another disinclined even to learn how to read graphs? The idea that scientists are people who wear lab coats and are somehow smarter than the rest of us is a common, yet dangerous, misconception that puts science on an intimidating pedestal. How did science become so divorced from everyday experience? In Eureka, science popularizer Chad Orzel argues that even the people who are most forthright about hating science are doing science, often without even knowing it. Orzel shows that science is central to the human experience: every human can think like a scientist, and regularly does so in the course of everyday activities. The common misconception is that science is a body of (boring, abstract, often mathematical) facts. In truth, science is a process: Looking at the world, Thinking about what makes it work, Testing your mental model by comparing it to reality, and Telling others about your results -- all things that people do daily. By revealing the connection between the everyday activities that people do -- solving crossword puzzles, playing sports, or even watching mystery shows on television -- and the processes used to make great scientific discoveries, Eureka shows that this process is one everybody uses regularly, and something that anyone can do.

Machine Learning and Data Mining for Sports Analytics

Author : Ulf Brefeld
Publisher : Springer Nature
ISBN 13 : 3031538331
Total Pages : 206 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Machine Learning and Data Mining for Sports Analytics by : Ulf Brefeld

Download or read book Machine Learning and Data Mining for Sports Analytics written by Ulf Brefeld and published by Springer Nature. This book was released on with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Artificial Intelligence

Author : Marina Sokolova
Publisher : Springer
ISBN 13 : 3319064835
Total Pages : 412 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Advances in Artificial Intelligence by : Marina Sokolova

Download or read book Advances in Artificial Intelligence written by Marina Sokolova and published by Springer. This book was released on 2014-04-30 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, held in Montréal, QC, Canada, in May 2014. The 22 regular papers and 18 short papers presented together with 3 invited talks were carefully reviewed and selected from 94 submissions. The papers cover a variety of topics within AI, such as: agent systems; AI applications; automated reasoning; bioinformatics and BioNLP; case-based reasoning; cognitive models; constraint satisfaction; data mining; E-commerce; evolutionary computation; games; information retrieval; knowledge representation; machine learning; multi-media processing; natural language processing; neural nets; planning; privacy-preserving data mining; robotics; search; smart graphics; uncertainty; user modeling; web applications.

Stumbling on Wins (Bonus Content Edition)

Author : David Berri
Publisher : Pearson Education
ISBN 13 : 0137069510
Total Pages : 288 pages
Book Rating : 4.1/5 (37 download)

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Book Synopsis Stumbling on Wins (Bonus Content Edition) by : David Berri

Download or read book Stumbling on Wins (Bonus Content Edition) written by David Berri and published by Pearson Education. This book was released on 2010-01-08 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: The next quantum leap beyond Moneyball, this book offers powerful new insights into all human decision-making, because if sports teams are getting it wrong this badly, how do you know you're not? Sometimes the decisions that teams make are simply inexplicable. Consider: sports teams have an immense amount of detailed, quantifiable information to draw upon, more than in virtually any other industry. They have powerful incentives for making good decisions. Everyone sees the results of their choices, and the consequences for failure are severe. And yet... they keep making the same mistakes over and over again... systematic mistakes you'd think they'd learn how to avoid. Now, two leading sports economists reveal those mistakes in basketball, baseball, football, and hockey, and explain why sports decision-makers never seem to learn their lessons. You'll learn which statistics are connected to wins, and which aren't, and which statistics can and can't predict the future. Along the way, David Berri and Martin Schmidt show why a quarterback's place in the draft tells you nothing about how he'll perform in the NFL... why basketball decision-makers don't focus on the factors that really correlate with NBA success... why famous coaches don't deliver better results... and much more.

Recent Advances in Data Science

Author : Henry Han
Publisher : Springer Nature
ISBN 13 : 9811587604
Total Pages : 295 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Recent Advances in Data Science by : Henry Han

Download or read book Recent Advances in Data Science written by Henry Han and published by Springer Nature. This book was released on 2020-09-28 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers of the Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech, management, and analytics.- health and biological data science.- novel data science theory and applications.

Python: Real-World Data Science

Author : Dusty Phillips
Publisher : Packt Publishing Ltd
ISBN 13 : 1786468417
Total Pages : 1255 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Python: Real-World Data Science by : Dusty Phillips

Download or read book Python: Real-World Data Science written by Dusty Phillips and published by Packt Publishing Ltd. This book was released on 2016-06-10 with total page 1255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python's data science capabilities for doing real-world data analysis. What You Will Learn Install and setup Python Implement objects in Python by creating classes and defining methods Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis Create effective visualizations for presenting your data using Matplotlib Process and analyze data using the time series capabilities of pandas Interact with different kind of database systems, such as file, disk format, Mongo, and Redis Apply data mining concepts to real-world problems Compute on big data, including real-time data from the Internet Explore how to use different machine learning models to ask different questions of your data In Detail The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you'll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it's time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, how to use them, and most importantly, how to avoid the common pitfalls. Style and approach This course includes all the resources that will help you jump into the data science field with Python and learn how to make sense of data. The aim is to create a smooth learning path that will teach you how to get started with powerful Python libraries and perform various data science techniques in depth.

Sports Data Mining

Author : Robert P. Schumaker
Publisher : Springer Science & Business Media
ISBN 13 : 1441967303
Total Pages : 144 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Sports Data Mining by : Robert P. Schumaker

Download or read book Sports Data Mining written by Robert P. Schumaker and published by Springer Science & Business Media. This book was released on 2010-09-10 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

Win Shares

Author : Bill James
Publisher : STATS Publishing
ISBN 13 : 9781931584036
Total Pages : 0 pages
Book Rating : 4.5/5 (84 download)

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Book Synopsis Win Shares by : Bill James

Download or read book Win Shares written by Bill James and published by STATS Publishing. This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Stumbling On Wins in Basketball

Author : David Berri
Publisher : Pearson Education
ISBN 13 : 0132120984
Total Pages : 173 pages
Book Rating : 4.1/5 (321 download)

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Book Synopsis Stumbling On Wins in Basketball by : David Berri

Download or read book Stumbling On Wins in Basketball written by David Berri and published by Pearson Education. This book was released on 2010-04-08 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook version of the printed book. Like what you've read? Get more in Stumbling On Wins: Two Economists Expose the Pitfalls on the Road to Victory in Professional Sports (9780132357784) by David J. Berri and Martin B. Schmidt. Available in print and digital formats. In basketball, spending explains less than 10% of the variation in wins. Discover what explains the other 90%! In basketball, success takes more than money. From 1997-98 to 2003-04, the Knicks finished either first or second in payroll—and won only six more games than they lost. Their “averageness” led them to hire Isiah Thomas. Few people knew more about basketball. Thomas’s path to disaster began with his first move: sending several players and draft picks to the Suns for players, including Stephon Marbury.

Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference

Author : Arnold Baca
Publisher : Springer Nature
ISBN 13 : 3030993337
Total Pages : 188 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference by : Arnold Baca

Download or read book Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference written by Arnold Baca and published by Springer Nature. This book was released on 2022-04-09 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This covers the PACSS 2021 which approached interdisciplinary collaboration between theoretical computer science and practical performance analysis though an online workshop and conference. Readers find in this book the peer-reviewed and discussed evidences on how computer scientists and performance analysts can and have worked together to solve both applied and research-based problems in elite sport, using the methods of computer science. In this edition, we organize the content according to four major topics: machine learning, text mining, best practice and interdisciplinary collaboration. This is a refined material written by leading experts with up-to-date overview of research in the multidisciplinary field of computer science and elite sport performance analysis.