Eye Emergencies: A Practitioner's Guide

Książki Obcojęzyczne>Angielskie>Medicine>Other branches of medicine>Accident & emergency medicineKsiążki Obcojęzyczne>Angielskie>Med...

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A Practitioner's Guide To Stochastic Frontier Analysis Using Stata

Książki Obcojęzyczne>Angielskie>Economics, finance, business & management>Economics>EconometricsKsiążki Obcojęzyczne>Angielskie>Econ...

0x0148e03c00000000

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A Practitioner's Guide To Solvency II

Książki Obcojęzyczne>Angielskie>Law>Laws of Specific jurisdictions>Financial law>Insurance law

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Becoming a Data Head - How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful." Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage You've heard the hype around data--now get the facts. In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it. You'll learn how to: * Think statistically and understand the role variation plays in your life and decision making * Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace * Understand what's really going on with machine learning, text analytics, deep learning, and artificial intelligence * Avoid common pitfalls when working with and interpreting data Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you'll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head--an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

Sklep: Libristo.pl

Capacity Management - A Practitioner Guide

Książki Obcojęzyczne>Angielskie>Computing & information technology>Information technology: general issuesKsiążki Obcojęzyczne>Angielskie&g...

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A Practitioner's Guide To The Law And Regulation Of Market Abuse

Książki Obcojęzyczne>Angielskie>Law>Laws of Specific jurisdictions>Financial law>Financial services law & regulation

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A Practitioner's Guide To Mifid

Książki Obcojęzyczne>Angielskie>Law>Laws of Specific jurisdictions>Financial law>Financial services law & regulation

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A Practitioner's Guide To Account-based Marketing

Książki Obcojęzyczne>Angielskie>Economics, finance, business & management>Business & management>Management & management techniques>Mana...

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A Practitioner's Guide To Asset Allocation

Książki Obcojęzyczne>Angielskie>Economics, finance, business & management>Finance & accounting

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Capital Where it is Wanted. A Practitioner`s Guide UMCS

I highly appreciate the ambition of writing a book intended for practitioners which addresses the difficult day-to-day realities of financial management in non-financial businesses [...] I believe that this work will be very useful for practice in the workplace as well as teaching in the classroom. Its Authors have collaborated well to produce a valuable learning tool.

Sklep: Booksnet.pl

Artificial Intelligence for Beginners: Easy to understand guide of Ai, data Science and Internet of Things. How to use AI in practice? Revelations of Independently Published

Książki / Literatura obcojęzyczna

Are you keen on new technologies and what they have to offer you?Are you constantly looking to keep up to date with the latest tech trends?Are you savvy and knowledgeable in the world of artificial intelligence and robotics?Are you a st

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Guide to Intelligent Data Science Springer Nature Switzerland AG

Książki / Literatura obcojęzyczna

Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website.This practical and systematic textbook/reference is a "need-to-have" tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a "need to use, need to keep" resource following one's exploration of the subject.

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X - Ways Forensics Practitioner's Guide

Książki Obcojęzyczne>Angielskie>Computing & information technology>Computer science>Systems analysis & designKsiążki Obcojęzyczne>Angie...

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Practitioner's Guide To User Experience Design

Książki Obcojęzyczne>Angielskie>Computing & information technology>Computer science>Human-computer interaction>User interface design & ...

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Big R-Book - From Data Science to Learning Machines and Big Data John Wiley and Sons Ltd

Książki / Literatura obcojęzyczna

Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. * Provides a practical guide for non-experts with a focus on business users * Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting * Uses a practical tone and integrates multiple topics in a coherent framework * Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R * Shows readers how to visualize results in static and interactive reports * Supplementary materials includes PDF slides based on the book's content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.

Sklep: Libristo.pl