Download A Fresh Squeeze On Data Problem Solving With Data full books in PDF, epub, and Kindle. Read online A Fresh Squeeze On Data Problem Solving With Data ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Readyai
Publisher :
ISBN 13 : 9781087905488
Total Pages : 58 pages
Book Rating : 4.86/5 ( download)
Download or read book A Fresh Squeeze on Data written by Readyai and published by . This book was released on 2021-08-15 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : ReadyAI
Publisher :
ISBN 13 :
Total Pages : 57 pages
Book Rating : 4.89/5 ( download)
Download or read book A Fresh Squeeze on Data - Problem Solving with Data written by ReadyAI and published by . This book was released on 2021-07-23 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is your child interested in solving big problems? Do they want to make the world a better place? What if they could do that through data? In A Fresh Squeeze on Data, Clara and Alex are two little kids with big ideas, all to help their local hospital. As their Lemonade Crew sets out to raise money by setting up a lemonade stand, they use data along their journey to understand factors like what to sell, where to set up their stand, as well as the role of bias in data. This fun and interactive book uses simple pictures, diagrams, and comprehensive terms to walk readers through the basics of data science, and also contains relevant activity sheets for kids to put data to work! Written by K-12 artificial intelligence education experts and popular children's authors ReadyAI in partnership with enterprise data cloud company Cloudera, the book is recommended for students ages 8 - 12 years old. "Hello Everyone, Thank you so much for reading this book! My sons, Flynn and Jedd, and I really enjoyed learning from Clara and Alex and hope you did too. In our world, it's very important that we understand where data comes from and how it can be used to make good predictions and decisions. Data can help us find the best solutions for people, our natural resources, and our communities. There are a lot of problems we can solve by analyzing data. The possibilities are limitless - just as they are for you! Thanks for starting early on your path to appreciating the value of data and developing your data literacy. You're on your way - keep it going!" - Scott Aronson, Proud father of two young boys & Chief Operating Officer at Cloudera
Author : Ning Wang
Publisher : Springer Nature
ISBN 13 : 3031363361
Total Pages : 855 pages
Book Rating : 4.68/5 ( download)
Download or read book Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky written by Ning Wang and published by Springer Nature. This book was released on 2023-06-29 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes poster papers and late breaking results presented during the 24th International Conference on Artificial Intelligence in Education, AIED 2023, Tokyo, Japan, July 3–7, 2023. The 65 poster papers presented were carefully reviewed and selected from 311 submissions. This set of posters was complemented with the other poster contributions submitted for the Poster and Late Breaking results track of the AIED 2023 conference.
Author : Deborah Nolan
Publisher : CRC Press
ISBN 13 : 1498759874
Total Pages : 767 pages
Book Rating : 4.78/5 ( download)
Download or read book Data Science in R written by Deborah Nolan and published by CRC Press. This book was released on 2015-04-21 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts
Author : Irene Aldridge
Publisher : John Wiley & Sons
ISBN 13 : 111960298X
Total Pages : 336 pages
Book Rating : 4.89/5 ( download)
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.
Author : Richard Heimann
Publisher : BenBella Books
ISBN 13 : 1953295738
Total Pages : 273 pages
Book Rating : 4.36/5 ( download)
Download or read book Doing AI written by Richard Heimann and published by BenBella Books. This book was released on 2021-12-14 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has captured our imaginations—and become a distraction. Too many leaders embrace the oversized narratives of artificial minds outpacing human intelligence and lose sight of the original problems they were meant to solve. When businesses try to “do AI,” they place an abstract solution before problems and customers without fully considering whether it is wise, whether the hype is true, or how AI will impact their organization in the long term. Often absent is sound reasoning for why they should go down this path in the first place. Doing AI explores AI for what it actually is—and what it is not— and the problems it can truly solve. In these pages, author Richard Heimann unravels the tricky relationship between problems and high-tech solutions, exploring the pitfalls in solution-centric thinking and explaining how businesses should rethink AI in a way that aligns with their cultures, goals, and values. As the Chief AI Officer at Cybraics Inc., Richard Heimann knows from experience that AI-specific strategies are often bad for business. Doing AI is his comprehensive guide that will help readers understand AI, avoid common pitfalls, and identify beneficial applications for their companies. This book is a must-read for anyone looking for clarity and practical guidance for identifying problems and effectively solving them, rather than getting sidetracked by a shiny new “solution” that doesn’t solve anything.
Author : Avrim Blum
Publisher : Cambridge University Press
ISBN 13 : 1108617360
Total Pages : 433 pages
Book Rating : 4.69/5 ( download)
Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Author : Medha Raj
Publisher : Georgetown University Press
ISBN 13 : 1626161569
Total Pages : 171 pages
Book Rating : 4.66/5 ( download)
Download or read book Georgetown Journal of International Affairs, Summer/Fall 2014 written by Medha Raj and published by Georgetown University Press. This book was released on 2014-09-08 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of the Georgetown Journal of International Affairs focuses on the topic of "Destabilizing Demographics," exploring the opportunities and challenges presented by dynamic population patterns and structures. Demographic shifts affect multiple facets of international affairs, impacting economies, modifying politics, and reshaping the fabric of our societies. These changes could have catastrophic international consequences if ignored or evaded. This edition concludes with articles regarding decidedly twenty-first century concerns: communication, integration, and globalization. The Georgetown Journal of International Affairs is the official publication of the Edmund A. Walsh School of Foreign Service at Georgetown University. Each issue of the journal provides readers with a diverse array of timely, peer-reviewed content penned by top policymakers, business leaders, and academic luminaries.
Author : Russell Dawson
Publisher : Jws Publishing
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.38/5 ( download)
Download or read book Fundamentals of Data Analytics written by Russell Dawson and published by Jws Publishing. This book was released on 2023-12-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain a competitive edge in today's data-driven world and build a rich career as a data professional that drives business success and innovation... Did you know that every minute, people around the world make 5.9 million searches on Google, share 1.7 million posts on Facebook, and watch 1 million hours of videos? And that's not even all of it! In total, the world creates a massive 328 million terabytes of data every day! Data is everywhere... and it has become the essential building block of this modern society, shaping the future of businesses, technology, and human interactions. It's no wonder that data professional roles, such as data analysts, data scientists, and data architects are now highly in demand in this data-driven world. And that's why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book has all the answers! Building a successful career in data is all about cultivating the necessary mindset, knowledge, and skills. This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems. Here is just a fraction of what you will discover: A comprehensive guide to the data analytics process - a beginner-friendly 5-step framework to kickstart your journey into analyzing and processing data How to get started with the fundamental concepts, theories, and models for accurately analyzing data Everything you ever needed to know about data mining and machine learning principles - your gateway to unlocking the secrets of data's hidden potential Why business run on a data-driven culture, and how you can leverage it using real-time business intelligence analytics Strategies and techniques to build a problem-solving mindset that can overcome any complex and unique dataset How to create compelling and dynamic visualizations that help generate insights and make data-driven decisions The 4 pillars of a new digital world - discover how emerging technologies will transform the landscape of analyzing data And much more. Believe it or not, you can be terrible in math or statistics and still pursue a career in data. Yes, you need a good grasp of the basics but always keep in mind that knowledge can be acquired and skills can be developed. The key is to not be intimidated by the strings of characters and numbers. Focus, instead, on building a mindset that thirsts for knowledge. You'll be surprised by how much you're able to do with just that. And this book is here to guide you throughout this journey, so that crunching data becomes second nature to you. So, what are you waiting for? Ready to master the fundamentals and build a successful career in data analytics?
Author : Deborah Nolan
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.41/5 ( download)
Download or read book Data Science in R written by Deborah Nolan and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts.
