133,25 zł

Self-Taught Computer Scientist - The Beginner's Guide to Data Structures & Algorithms John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

The Self-Taught Computer Scientist is Cory Althoff's follow-up to The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn how to program outside of school.In The Self-Taught Programmer, Cory showed readers why you don't need a computer science degree to program professionally and taught the programming fundamentals he used to go from a complete beginner to a software engineer at eBay without one.In The Self-Taught Computer Scientist, Cory teaches you the computer science concepts that all self-taught programmers should understand to have outstanding careers. The Self-Taught Computer Scientist will not only make you a better programmer; it will also help you pass your technical interview: the interview all programmers have to pass to land a new job.Whether you are preparing to apply for jobs or sharpen your computer science knowledge, reading The Self-Taught Computer Scientist will improve your programming career. It's written for complete beginners, so you should have no problem reading it even if you've never studied computer science before.

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236,16 zł

CompTIA Data+ Study Guide: Exam DA0-001 John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

Build a solid foundation in data analysis skills and pursue a coveted Data+ certification with this intuitive study guideCompTIA Data+ Study Guide: Exam DA0-001 delivers easily accessible and actionable instruction for achieving data analysis competencies required for the job and on the CompTIA Data+ certification exam. You'll learn to collect, analyze, and report on various types of commonly used data, transforming raw data into usable information for stakeholders and decision makers.With comprehensive coverage of data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls, this Study Guide offers:* All the information necessary to succeed on the exam for a widely accepted, entry-level credential that unlocks lucrative new data analytics and data science career opportunities* 100% coverage of objectives for the NEW CompTIA Data+ exam* Access to the Sybex online learning resources, with review questions, full-length practice exam, hundreds of electronic flashcards, and a glossary of key termsIdeal for anyone seeking a new career in data analysis, to improve their current data science skills, or hoping to achieve the coveted CompTIA Data+ certification credential, CompTIA Data+ Study Guide: Exam DA0-001 provides an invaluable head start to beginning or accelerating a career as an in-demand data analyst.

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319,99 zł

Data Analysis Using Sas Enterprise Guide

Książki Obcojęzyczne>Angielskie>Computing & information technology>Business applications>Mathematical & statistical softwareKsiążki Obcoję...

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Sklep: Gigant.pl

140,08 zł

Illustrated Guide to Home Forensic Science Experiments O'Reilly Media

Książki / Literatura obcojęzyczna

If you're taking a basic course in classical physics, or have a healthy curiosity for the way things work in the physical world, the Illustrated Guide to Home Physics Experiments provides an ideal hands-on introduction to physics lab techniques and data analysis. With this book and a few simple (and inexpensive) tools and materials, you'll learn to conduct experiments that answer questions about our world, make demonstrations to show off physical principles, and do theoretical lab work to discover how the world works. Perfect for do-it-yourselfers, home-schooled high school students, and college students, this book will help you: Learn everything from the basics of motion all the way to particle physics - including energy, thermodynamics, magnetic fields, optics, and much more Take careful measurements of physical phenomena and conduct data analysis Build and perform physics demonstrations that are fascinating and fun Construct computer models to represent aspects of the physical world It's easy to get started. You can build most of the experiments and demonstrations in this book with ordinary household tools, using materials that you can scrounge, borrow, or get free.The most important thing is your willingness to enter the door of discovery that awaits you. The Illustrated Guide to Home Physics Experiments is your key.

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265,30 zł

Guide to Teaching Computer Science Springer Nature Switzerland AG

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This concise yet thorough textbook presents an active-learning model for the teaching of computer science. Offering both a conceptual framework and detailed implementation guidelines, the work is designed to support a Methods of Teaching Computer Science (MTCS) course, but may be applied to the teaching of any area of computer science at any level, from elementary school to university. This text is not limited to any specific curriculum or programming language, but instead suggests various options for lesson and syllabus organization. Fully updated and revised, the third edition features more than 40 new activities, bringing the total to more than 150, together with new chapters on computational thinking, data science, and soft concepts and soft skills. This edition also introduces new conceptual frameworks for teaching such as the MERge model, and new formats for the professional development of computer science educators.

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94,99 zł

100 Science Lessons: Planning Guide

Książki Obcojęzyczne>Angielskie>Society & social sciences>Education>Teaching of a specific subject>Teachers' classroom resources & mate...

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Sklep: Gigant.pl

719,99 zł

The Survey Guide For Ascs A Guide To The Cms Conditions For Coverage & Interpretive Guidelines For Ambulatory Surgery Centers - 2015 Edition

Książki Obcojęzyczne>Angielskie>Mathematics & science>Science: general issues

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Sklep: Gigant.pl

528,00 zł

Handbook of Data Analysis SAGE Publications Ltd

Książki / Literatura obcojęzyczna

"This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond". (Environment and Planning). "The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher". (Clive Seale, Brunel University). "With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. " (Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa). "This is an excellent guide to current issues in the analysis of social science data.I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments". (Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey). This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis.In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

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907,37 zł

Loss Models - From Data to Decisions, 5th Edition John Wiley and Sons Ltd

Książki / Literatura obcojęzyczna

A guide that provides in-depth coverage of modeling techniques used throughout many branches of actuarial science, revised and updated Now in its fifth edition, Loss Models: From Data to Decisions puts the focus on material tested in the Society of Actuaries (SOA) newly revised Exams STAM (Short-Term Actuarial Mathematics) and LTAM (Long-Term Actuarial Mathematics). Updated to reflect these exam changes, this vital resource offers actuaries, and those aspiring to the profession, a practical approach to the concepts and techniques needed to succeed in the profession. The techniques are also valuable for anyone who uses loss data to build models for assessing risks of any kind. Loss Models contains a wealth of examples that highlight the real-world applications of the concepts presented, and puts the emphasis on calculations and spreadsheet implementation. With a focus on the loss process, the book reviews the essential quantitative techniques such as random variables, basic distributional quantities, and the recursive method, and discusses techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered. In addition, the authors offer practical advice for choosing an appropriate model. This important text: * Presents a revised and updated edition of the classic guide for actuaries that aligns with newly introduced Exams STAM and LTAM * Contains a wealth of exercises taken from previous exams * Includes fresh and additional content related to the material required by the Society of Actuaries (SOA) and the Canadian Institute of Actuaries (CIA) * Offers a solutions manual available for further insight, and all the data sets and supplemental material are posted on a companion site Written for students and aspiring actuaries who are preparing to take the SOA examinations, Loss Models offers an essential guide to the concepts and techniques of actuarial science.

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548,04 zł

Designing Data-Intensive Web Applications Morgan Kaufmann Publishers

Książki / Literatura obcojęzyczna

The most prominent Web applications in use today are data-intensive. Scores of database management systems across the Internet access and maintain large amounts of structured data for e-commerce, on-line trading, banking, digital libraries, and other high-volume sites. Developing and maintaining these data-intensive applications is an especially complex, multi-disciplinary activity, requiring all the tools and techniques that software engineering can provide. This book represents a breakthrough for Web application developers. Using hundreds of illustrations and an elegant intuitive modeling language, the authors - all internationally-known database researchers - present a methodology that fully exploits the conceptual modeling approach of software engineering, from idea to application. Readers will learn not only how to harness the design technologies of relational databases for use on the Web, but also how to transform their conceptual designs of data-intensive Web applications into effective software components.Features include: a fully self-contained introduction and practitioner's guide suitable for both technical and non-technical members of staff, as well as students; a methodology, development process, and notation (WebML) based on common practice but optimized for the unique challenges of high-volume Web applications; completely platform - and product-independent; even the use of WebML is optional; based on well-known industry standards such as UML and the Entity Relationship Model; and, enhanced by its own Web site containing additional examples, papers, teaching materials, developers' resources, and exercises with solutions.

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226,01 zł

Data Structures and Algorithms Made Easy CareerMonk Publications

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Peeling Data Structures and Algorithms: Table of Contents: goo.gl/JFMgiU Sample Chapter: goo.gl/n2Hk4i Found Issue? goo.gl/forms/4Gt72YO81I Videos: goo.gl/BcHq74 "Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists. A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structures and Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. This book serves as guide to prepare for interviews, exams, and campus work. In short, this book offers solutions to various complex data structures and algorithmic problems. Topics Covered: Introduction Recursion and Backtracking Linked Lists Stacks Queues Trees Priority Queue and Heaps Disjoint Sets ADT Graph Algorithms Sorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts

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151,34 zł

Data Structures and Algorithms Made Easy in Java CareerMonk Publications

Książki / Literatura obcojęzyczna

Video Link: youtube.com/watch?v=l_GRquIrVygA handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts. Data Structures And Algorithms Made Easy in Java: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in 2011, and it is coded in Java language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in C/C++. In short, this book offers solutions to various complex data structures and algorithmic problems.Peeling Data Structures and Algorithms for (Java, Second Edition):Programming puzzles for interviewsCampus PreparationDegree/Masters Course PreparationInstructor'sBig job hunters: Microsoft, Google, Apple, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Face book, McAfee and many moreReference Manual for working people What is unique? Our main objective isn't to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we ennumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities.Topics Covered:IntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts Target Audience?

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250,73 zł

Applied Predictive Analytics - Principles and Techniques for the Professional Data Analyst John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

Learn the art and science of predictive analytics -- techniques that get results§Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included.§The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today§This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions§Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish§Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios§A companion website provides all the data sets used to generate the examples as well as a free trial version of software§Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.

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324,90 zł

Practical Statistics for Data Scientists O'Reilly Media, Inc, USA

Książki / Literatura obcojęzyczna

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide--now i

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237,36 zł

Data Analysis Oxford University Press

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Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis. This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design. The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'.

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szukaj w Kangoo krainaksiazek a practitioner s guide to data science 20045607

Sklepy zlokalizowane w miastach: Warszawa, Kraków, Łódź, Wrocław, Poznań, Gdańsk, Szczecin, Bydgoszcz, Lublin, Katowice

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