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Foundations of Data Science

Author : Avrim Blum
Publisher : Cambridge University Press
ISBN 13 : 1108617360
Total Pages : 433 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Foundations of Data Science by : Avrim Blum

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.

Data Science for Business

Author : Foster Provost
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937428X
Total Pages : 506 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Data Science for Business by : Foster Provost

Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Presentation Zen

Author : Garr Reynolds
Publisher : Pearson Education
ISBN 13 : 0321601890
Total Pages : 316 pages
Book Rating : 4.3/5 (216 download)

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Book Synopsis Presentation Zen by : Garr Reynolds

Download or read book Presentation Zen written by Garr Reynolds and published by Pearson Education. This book was released on 2009-04-15 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: FOREWORD BY GUY KAWASAKI Presentation designer and internationally acclaimed communications expert Garr Reynolds, creator of the most popular Web site on presentation design and delivery on the Net — presentationzen.com — shares his experience in a provocative mix of illumination, inspiration, education, and guidance that will change the way you think about making presentations with PowerPoint or Keynote. Presentation Zen challenges the conventional wisdom of making "slide presentations" in today’s world and encourages you to think differently and more creatively about the preparation, design, and delivery of your presentations. Garr shares lessons and perspectives that draw upon practical advice from the fields of communication and business. Combining solid principles of design with the tenets of Zen simplicity, this book will help you along the path to simpler, more effective presentations.

Understanding by Design

Author : Grant P. Wiggins
Publisher : ASCD
ISBN 13 : 1416600353
Total Pages : 383 pages
Book Rating : 4.4/5 (166 download)

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Book Synopsis Understanding by Design by : Grant P. Wiggins

Download or read book Understanding by Design written by Grant P. Wiggins and published by ASCD. This book was released on 2005 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is understanding and how does it differ from knowledge? How can we determine the big ideas worth understanding? Why is understanding an important teaching goal, and how do we know when students have attained it? How can we create a rigorous and engaging curriculum that focuses on understanding and leads to improved student performance in today's high-stakes, standards-based environment? Authors Grant Wiggins and Jay McTighe answer these and many other questions in this second edition of Understanding by Design. Drawing on feedback from thousands of educators around the world who have used the UbD framework since its introduction in 1998, the authors have greatly revised and expanded their original work to guide educators across the K-16 spectrum in the design of curriculum, assessment, and instruction. With an improved UbD Template at its core, the book explains the rationale of backward design and explores in greater depth the meaning of such key ideas as essential questions and transfer tasks. Readers will learn why the familiar coverage- and activity-based approaches to curriculum design fall short, and how a focus on the six facets of understanding can enrich student learning. With an expanded array of practical strategies, tools, and examples from all subject areas, the book demonstrates how the research-based principles of Understanding by Design apply to district frameworks as well as to individual units of curriculum. Combining provocative ideas, thoughtful analysis, and tested approaches, this new edition of Understanding by Design offers teacher-designers a clear path to the creation of curriculum that ensures better learning and a more stimulating experience for students and teachers alike.

The Planning Game

Author : Alex Lord
Publisher : Routledge
ISBN 13 : 0415599059
Total Pages : 210 pages
Book Rating : 4.4/5 (155 download)

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Book Synopsis The Planning Game by : Alex Lord

Download or read book The Planning Game written by Alex Lord and published by Routledge. This book was released on 2012 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sharing of information and knowledge is essential in the processes and negotiations involved in planning. In this book, Alex Lord sets out a new way of looking at the transfer of information and the cooperation of groups in planning by exploring the strand of economics known as information economics, including game theory. He starts by discussing theories of information economics, then moves into actual accounts of bargaining in planning practice.

Data Science and Big Data Analytics

Author : EMC Education Services
Publisher : John Wiley & Sons
ISBN 13 : 1118876059
Total Pages : 432 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Science and Big Data Analytics by : EMC Education Services

Download or read book Data Science and Big Data Analytics written by EMC Education Services and published by John Wiley & Sons. This book was released on 2015-01-05 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Introduction to Machine Learning with Python

Author : Andreas C. Müller
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449369898
Total Pages : 429 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Introduction to Machine Learning with Python by : Andreas C. Müller

Download or read book Introduction to Machine Learning with Python written by Andreas C. Müller and published by "O'Reilly Media, Inc.". This book was released on 2016-09-26 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. With this book, you’ll learn: Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills

Dear Data

Author : Giorgia Lupi
Publisher : Chronicle Books
ISBN 13 : 1616895462
Total Pages : 304 pages
Book Rating : 4.6/5 (168 download)

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Book Synopsis Dear Data by : Giorgia Lupi

Download or read book Dear Data written by Giorgia Lupi and published by Chronicle Books. This book was released on 2016-09-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)

Author : R. Somashekhar
Publisher : Springer Nature
ISBN 13 : 9464631643
Total Pages : 310 pages
Book Rating : 4.4/5 (646 download)

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Book Synopsis Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022) by : R. Somashekhar

Download or read book Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022) written by R. Somashekhar and published by Springer Nature. This book was released on 2023-06-05 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. We are pleased to announce our 3rd International Conference on Bioinformatics and Data Science (ICBDS – 2022) and 9th International Conference on Public Mental Health and Neurosciences (ICPMN – 2022) which was a unique conference where we connectted Biological Function through Computational Genomics to the world of integrated medicine and therapeutics. Functional genomics is a field of molecular biology that attempts to describe gene (and protein) functions and interactions. This science aims to understand the complex relationship between genotype and phenotype on a global (genome-wide) scale of different biological processes. Most researchers now study genes or regions on a “genome-wide” scale (i.e. all or multiple genes/regions at the same time), with the hope of narrowing them down to a list of candidate genes or regions to analyze in more detail. There are several specific functional genomics approaches depending on what we are focused on DNA level (genomics and epigenomics), RNA level (transcriptomics), protein level (proteomics), metabolite level (metabolomics) and phenotype level (phenomics). The recent trends in gene and genome editing technologies, promising genomic information can be modulated in the areas of medicine, agriculture and environment. Big data is a promising in many research areas, but still it is computationally challenging and non-availability of experts to handle big-data with reduced speed and cost. With the increasing use of advanced technology and the exploding amount of big-data in, it is imperative to introduce effective and efficient methods to handle big data using computing technologies. The big data analytics technique is required to solve the problems in bioinformatics such as the storage of vast information generated by analyzing the big-data. Big data analytics can examine large data sets, analyze and correlate genomic and proteomic information. Big data research finds a huge application in Neuroscience and Brain research. Our unique conference connects genomics to the world of genomics to integrated medicine including yogic sciences.

Applied Science

Author :
Publisher :
ISBN 13 :
Total Pages : 786 pages
Book Rating : 4.:/5 (334 download)

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Book Synopsis Applied Science by :

Download or read book Applied Science written by and published by . This book was released on 1812 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Communicating Clearly about Science and Medicine

Author : John Clare
Publisher : Routledge
ISBN 13 : 1351950320
Total Pages : 189 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Communicating Clearly about Science and Medicine by : John Clare

Download or read book Communicating Clearly about Science and Medicine written by John Clare and published by Routledge. This book was released on 2017-03-02 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific communication is challenging. The subject matter is complex and often requires a certain level of knowledge to understand it correctly; describing hazard ratios, interpreting Kaplan Meier curves and explaining confounding factors is different from talking about a new car or clothing range. Processes, for example in clinical trials, are laborious and tedious and knowing how much of the detail to include and exclude requires judgement. Conclusions are rarely clear cut making communicating statistical risk and probability tough, especially to non-statisticians and non-scientists such as journalists. Communicating Clearly about Science and Medicine looks at these and many more challenges, then introduces powerful techniques for overcoming them. It will help you develop and deliver impactful presentations on medical and scientific data and tell a clear, compelling story based on your research findings. It will show you how to develop clear messages and themes, while adhering to the advice attributed to Einstein: 'Make things as simple as possible...but no simpler.' John Clare illustrates how to communicate clearly the risks and benefits contained in a complex data set, and balance the hope and the hype. He explains how to avoid the 'miracle cure' or 'killer drug' headlines which are so common and teaches you how to combine the accuracy of peer-to-peer reviewed science with the narrative skills of journalism.

Almost lost you in Random Forest

Author : Suvadip Chakraborty
Publisher : White Falcon Publishing
ISBN 13 :
Total Pages : 207 pages
Book Rating : 4./5 ( download)

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Book Synopsis Almost lost you in Random Forest by : Suvadip Chakraborty

Download or read book Almost lost you in Random Forest written by Suvadip Chakraborty and published by White Falcon Publishing. This book was released on with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a bizarre turn of events, Ishir, a taxi driver in Bangalore, lands up with a 'Data Scientist' interview at a premier firm. Ishir, obviously clueless about the role, is offered the prestigious job due to an HR goof-up. Feeling like a fish out of water, Ishir meets Aarna in the office. However, Ishir is no ordinary taxi driver, and Aarna is no ordinary girl. Together, they ride a roller-coaster of artificial intelligence and natural emotions. All that remains to be seen - Can Ishir's human learning survive in the cosmos of machine learning? Can Ishir and Aarna's journey of regression help them deal with their past, to forecast a future together?

Ultralearning

Author : Scott H. Young
Publisher : HarperCollins
ISBN 13 : 0062852744
Total Pages : 278 pages
Book Rating : 4.0/5 (628 download)

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Book Synopsis Ultralearning by : Scott H. Young

Download or read book Ultralearning written by Scott H. Young and published by HarperCollins. This book was released on 2019-08-06 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success.

Machine Learning Interviews

Author : Susan Shu Chang
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098146514
Total Pages : 310 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Machine Learning Interviews by : Susan Shu Chang

Download or read book Machine Learning Interviews written by Susan Shu Chang and published by "O'Reilly Media, Inc.". This book was released on 2023-11-29 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews. This guide shows you how to: Explore various machine learning roles, including ML engineer, applied scientist, data scientist, and other positions Assess your interests and skills before deciding which ML role(s) to pursue Evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process Acquire the skill set necessary for each machine learning role Ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions Prepare for interviews in statistics and machine learning theory by studying common interview questions

Visible Learning for Science, Grades K-12

Author : John Almarode
Publisher : Corwin Press
ISBN 13 : 1506394191
Total Pages : 131 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Visible Learning for Science, Grades K-12 by : John Almarode

Download or read book Visible Learning for Science, Grades K-12 written by John Almarode and published by Corwin Press. This book was released on 2018-02-15 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the best science classrooms, teachers see learning through the eyes of their students, and students view themselves as explorers. But with so many instructional approaches to choose from—inquiry, laboratory, project-based learning, discovery learning—which is most effective for student success? In Visible Learning for Science, the authors reveal that it’s not which strategy, but when, and plot a vital K-12 framework for choosing the right approach at the right time, depending on where students are within the three phases of learning: surface, deep, and transfer. Synthesizing state-of-the-art science instruction and assessment with over fifteen years of John Hattie’s cornerstone educational research, this framework for maximum learning spans the range of topics in the life and physical sciences. Employing classroom examples from all grade levels, the authors empower teachers to plan, develop, and implement high-impact instruction for each phase of the learning cycle: Surface learning: when, through precise approaches, students explore science concepts and skills that give way to a deeper exploration of scientific inquiry. Deep learning: when students engage with data and evidence to uncover relationships between concepts—students think metacognitively, and use knowledge to plan, investigate, and articulate generalizations about scientific connections. Transfer learning: when students apply knowledge of scientific principles, processes, and relationships to novel contexts, and are able to discern and innovate to solve complex problems. Visible Learning for Science opens the door to maximum-impact science teaching, so that students demonstrate more than a year’s worth of learning for a year spent in school.

Making Data Talk

Author : David E. Nelson (M.D.)
Publisher :
ISBN 13 : 019538153X
Total Pages : 340 pages
Book Rating : 4.1/5 (953 download)

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Book Synopsis Making Data Talk by : David E. Nelson (M.D.)

Download or read book Making Data Talk written by David E. Nelson (M.D.) and published by . This book was released on 2009 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: The demand for health information continues to increase, but the ability of health professionals to provide it clearly remains variable. The aim of this book is (1) to summarize and synthesize research on the selection and presentation of data pertinent to public health, and (2) to provide practical suggestions, based on this research summary and synthesis, on how scientists and other public health practitioners can better communicate data to the public, policy makers, and the press in typical real-world situations. Because communication is complex and no one approach works for all audiences, the authors emphasize how to communicate data "better" (and in some instances, contrast this with how to communicate data "worse"), rather than attempting a cookbook approach. The book contains a wealth of case studies and other examples to illustrate major points, and actual situations whenever possible. Key principles and recommendations are summarized at the end of each chapter. This book will stimulate interest among public health practitioners, scholars, and students to more seriously consider ways they can understand and improve communication about data and other types of scientific information with the public, policy makers, and the press. Improved data communication will increase the chances that evidence-based scientific findings can play a greater role in improving the public's health.

Applied Predictive Modeling

Author : Max Kuhn
Publisher : Springer Science & Business Media
ISBN 13 : 1461468493
Total Pages : 595 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Applied Predictive Modeling by : Max Kuhn

Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.