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Author : Readyai
Publisher :
ISBN 13 : 9781087905488
Total Pages : 58 pages
Book Rating : 4.9/5 (54 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 : 4.5/5 (424 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 : Parikshit Narendra Mahalle
Publisher : Springer Nature
ISBN 13 : 9811651604
Total Pages : 125 pages
Book Rating : 4.8/5 (116 download)
Download or read book Foundations of Data Science for Engineering Problem Solving written by Parikshit Narendra Mahalle and published by Springer Nature. This book was released on 2021-08-21 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.
Author : Ning Wang
Publisher : Springer Nature
ISBN 13 : 3031363361
Total Pages : 855 pages
Book Rating : 4.0/5 (313 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 : Steck-Vaughn
Publisher :
ISBN 13 : 9781419003950
Total Pages : 0 pages
Book Rating : 4.0/5 (39 download)
Download or read book Data Analysis & Problem Solving written by Steck-Vaughn and published by . This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Anthony So
Publisher : Packt Publishing Ltd
ISBN 13 : 1838983082
Total Pages : 817 pages
Book Rating : 4.8/5 (389 download)
Download or read book The Data Science Workshop written by Anthony So and published by Packt Publishing Ltd. This book was released on 2020-01-29 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cut through the noise and get real results with a step-by-step approach to data science Key Features Ideal for the data science beginner who is getting started for the first time A data science tutorial with step-by-step exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book DescriptionYou already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results. Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.What you will learn Find out the key differences between supervised and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Learn about different algorithms such as regression, classification, and clustering Discover advanced techniques to improve model ensembling and accuracy Speed up the process of creating new features with automated feature tool Simplify machine learning using open source Python packages Who this book is forOur goal at Packt is to help you be successful, in whatever it is you choose to do. The Data Science Workshop is an ideal data science tutorial for the data science beginner who is just getting started. Pick up a Workshop today and let Packt help you develop skills that stick with you for life.
Author : Eric von Hippel
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (225 download)
Download or read book The Impact of "sticky Data" on Innovation and Problem Solving written by Eric von Hippel and published by . This book was released on 1990 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Probyto Data Science and Consulting Pvt. Ltd.
Publisher : BPB Publications
ISBN 13 : 9389423287
Total Pages : 368 pages
Book Rating : 4.3/5 (894 download)
Download or read book Data Science for Business Professionals written by Probyto Data Science and Consulting Pvt. Ltd. and published by BPB Publications. This book was released on 2020-05-06 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Primer into the multidisciplinary world of Data Science KEY FEATURESÊÊ - Explore and use the key concepts of Statistics required to solve data science problems - Use Docker, Jenkins, and Git for Continuous Development and Continuous Integration of your web app - Learn how to build Data Science solutions with GCP and AWS DESCRIPTIONÊ The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solving aptitude and effectively learn. The book uses Mathematics wherever necessary and will show you how it is implemented using Python with the help of an example dataset.Ê WHAT WILL YOU LEARNÊÊ - Understand the multi-disciplinary nature of Data Science - Get familiar with the key concepts in Mathematics and Statistics - Explore a few key ML algorithms and their use cases - Learn how to implement the basics of Data Pipelines - Get an overview of Cloud Computing & DevOps - Learn how to create visualizations using Tableau WHO THIS BOOK IS FORÊ This book is ideal for Data Science enthusiasts who want to explore various aspects of Data Science. Useful for Academicians, Business owners, and Researchers for a quick reference on industrial practices in Data Science.Ê TABLE OF CONTENTS 1. Data Science in Practice 2. Mathematics Essentials 3. Statistics Essentials 4. Exploratory Data Analysis 5. Data preprocessing 6. Feature Engineering 7. Machine learning algorithms 8. Productionizing ML models 9. Data Flows in Enterprises 10. Introduction to Databases 11. Introduction to Big Data 12. DevOps for Data Science 13. Introduction to Cloud Computing 14. Deploy Model to Cloud 15. Introduction to Business IntelligenceÊ 16. Data Visualization Tools 17. Industry Use Case 1 Ð FormAssist 18. Industry Use Case 2 Ð PeopleReporter 19. Data Science Learning Resources 20. Do It Your Self Challenges 21. MCQs for Assessments
Author : DJ Patil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449341128
Total Pages : 16 pages
Book Rating : 4.4/5 (493 download)
Download or read book Data Jujitsu: The Art of Turning Data into Product written by DJ Patil and published by "O'Reilly Media, Inc.". This book was released on 2012-11-14 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu. Learn how to use a problem's "weight" against itself to: Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problems Learn more about the problems before starting on the solutions—and use the findings to solve them, or determine whether the problems are worth solving at all.
Author : Nitin Bhatia
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (287 download)
Download or read book Data Science for Beginners written by Nitin Bhatia and published by Independently Published. This book was released on 2024-06-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to "Data Science for Beginners," your gateway to the fascinating world of data science! This book is designed for curious young minds and enthusiastic beginners who want to explore the power of data in a fun and engaging way. Dive into an exciting journey where learning meets adventure, and discover how data shapes the world around us in incredible ways. What Will You Learn? This book covers a wide range of topics to give you a comprehensive understanding of data science: Introduction to Data Science: Start your journey with an overview of what data science is and why it's important. Learn about the history and evolution of data science, and how it impacts various fields such as healthcare, finance, and marketing. Machine Learning Basics: Discover the exciting world of machine learning, where computers learn from data and make predictions. Understand different types of machine learning, including supervised and unsupervised learning. See how algorithms can recognize patterns and make decisions, powering technologies like recommendation systems and voice assistants. Big Data and Data Engineering: Delve into the realm of big data and understand how massive amounts of information are processed and analyzed. Learn about the technologies and frameworks that make big data analysis possible, such as Hadoop and Spark. Explore the role of data engineers in managing and optimizing data workflows. Ethical Considerations in Data Science: Data science is not just about numbers and algorithms; it's also about making responsible choices. Explore the ethical aspects of data collection and analysis, including data privacy, bias in machine learning models, and the importance of fairness and transparency. Learn how to use data in a way that is ethical and respectful of people's rights. Fun and Engaging Learning Learning should be an adventure, and this book ensures that it is! Packed with interactive activities, quizzes, and engaging stories, this book makes data science come alive. Meet curious characters who guide you through data adventures, solve puzzles, and test your knowledge with quizzes designed to reinforce what you've learned. Who Is This Book For? Kids: Young learners aged 10 and up who are curious about data, technology, and how things work. Beginners: Anyone new to data science who wants to learn the basics in a simple and engaging way. Parents and Educators: Those looking for a fun and educational resource to introduce children to data science. About the Author Nitin is a passionate educator and data science enthusiast dedicated to making complex concepts accessible to young minds. With years of experience in teaching and a knack for storytelling, Nitin brings data science to life in a way that's both informative and entertaining. Join the Data Science Revolution Data science is not just a subject; it's a superpower. By understanding data, you can make informed decisions, solve problems, and even create new technologies. This book is your gateway to becoming a data superhero. Start your journey today and unlock the power of data with fun and easy lessons designed just for you. Build Your Data Science Toolkit As you progress through this book, you'll build a toolkit of skills and knowledge that you can use in everyday life. Learn how to collect, analyze, and visualize data. Understand the basics of programming languages like Python, which is widely used in data science. Develop critical thinking and problem-solving skills that are valuable in any field.
Author : Longbing Cao
Publisher : Springer
ISBN 13 : 3319950924
Total Pages : 404 pages
Book Rating : 4.3/5 (199 download)
Download or read book Data Science Thinking written by Longbing Cao and published by Springer. This book was released on 2018-08-17 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.
Author : Roy Jafari
Publisher : Roy Jafari
ISBN 13 :
Total Pages : 127 pages
Book Rating : 4./5 ( download)
Download or read book Optimizing the Big Data Problem Statement written by Roy Jafari and published by Roy Jafari. This book was released on 2023-05-02 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's tech world, Big Data is the name of the game and a unique and powerful opportunity that can unlock a lot of potential. However, before you can start using big data, you need to have a clear understanding of the problem you are trying to solve. This is where problem statement optimization comes in. Problem statement optimization is the process of finding the right balance between the cost of understanding the problem and the cost of making future mistakes. The cost of understanding the big data problem includes the time and resources it takes to understand how exactly the size of the data is challenging you, and that empowers you to be able to find the right solution for your big data problem. The cost of making future mistakes includes the cost of fixing mistakes in the model, the cost of lost opportunities, and the cost of damage to your reputation. The book comprises five chapters covering various aspects of Big Data preparation, including Understanding Big Data Problems Cross-Industry Standard Process for Data Mining (CRISP-DM) Data Solution Life Cycle (DSLC) Types of Data Manipulations Recognizing the Right Data-Prep Problem. This book is a valuable resource for anyone who wants to use big data to solve problems. Whether you are a data scientist, analyst, or business professional, this book will help you get the most out of big data. Here are some additional benefits of reading this book: You will learn how to use big data to solve real-world problems. You will develop the skills you need to be successful in the world of big data. You will gain a deeper understanding If you are serious about using big data, then this book is a must-read.
Author : Russell Dawson
Publisher : Jws Publishing
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (69 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 : John Paul Mueller
Publisher : John Wiley & Sons
ISBN 13 : 1119626110
Total Pages : 768 pages
Book Rating : 4.1/5 (196 download)
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!
Author : Avrim Blum
Publisher : Cambridge University Press
ISBN 13 : 1108617360
Total Pages : 433 pages
Book Rating : 4.1/5 (86 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.
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Author :
Publisher :
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.0/5 ( download)
Download or read book Addison-Wesley Mathematics [grade 4] written by and published by . This book was released on 1987 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dorian Pyle
Publisher : Morgan Kaufmann
ISBN 13 : 9781558605299
Total Pages : 566 pages
Book Rating : 4.6/5 (52 download)
Download or read book Data Preparation for Data Mining written by Dorian Pyle and published by Morgan Kaufmann. This book was released on 1999-03-22 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.
