Angebote zu "Analysis" (266 Treffer)

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Machine Learning in Python: Hands on Machine Le...
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Are you excited about artificial intelligence and want to get started?Are you excited about machine learning and want to learn how to implement in Python? The book below is the answer.Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc., analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this audiobook. We are using Python, which is a great programming language for beginners.Python is a great language that is commonly used with machine learning. Python is used extensively in mathematics, gaming, and graphic design. It is fast to develop and prototype. It is web capable, meaning that we can use Python to gather web data. It is adaptable, and has great community of users.Here's what's included in this audiobook: What is machine learning?Why use Python?Regression analysis using Python with an exampleClustering analysis using Python with an exampleImplementing an Artificial Neural NetworkBackpropagation90-day plan to learn and implement machine learningConclusionBuy this audiobook today! 1. Language: English. Narrator: Russell Newton. Audio sample: http://samples.audible.de/bk/acx0/127075/bk_acx0_127075_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 19.09.2020
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SSAT: Sugar Sequence Analysis Tool
48,99 € *
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SSAT: Sugar Sequence Analysis Tool ab 48.99 € als Taschenbuch: A Web Based Sequence Analysis Tool for the Terminal Sugars of Oligosaccharide Chains. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 19.09.2020
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Geoff's Gardening Year: A Month-by-Month Guide ...
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Geoff Hodge takes you month by month through the tasks to make your garden beautiful. With general jobs each month and detailed information about herbaceous borders, fruit bushes, vegetables, houseplants, trees, and shrubs with a plant of the month and an analysis of a garden tool each month. An essential guide from an horticultural expert, past editor of Garden News, web editor for the Royal Horticultural Society, and contributor to Radio Gardening. 1. Language: English. Narrator: Geoff Hodge. Audio sample: http://samples.audible.de/bk/rdga/000002/bk_rdga_000002_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 19.09.2020
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Introduction to Meta-Analysis
39,88 € *
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This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: * Outlines the role of meta-analysis in the research process * Shows how to compute effects sizes and treatment effects * Explains the fixed-effect and random-effects models for synthesizing data * Demonstrates how to assess and interpret variation in effect size across studies * Clarifies concepts using text and figures, followed by formulas and examples * Explains how to avoid common mistakes in meta-analysis * Discusses controversies in meta-analysis * Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world's leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics. The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University

Anbieter: buecher
Stand: 19.09.2020
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Introduction to Meta-Analysis
39,88 € *
ggf. zzgl. Versand

This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: * Outlines the role of meta-analysis in the research process * Shows how to compute effects sizes and treatment effects * Explains the fixed-effect and random-effects models for synthesizing data * Demonstrates how to assess and interpret variation in effect size across studies * Clarifies concepts using text and figures, followed by formulas and examples * Explains how to avoid common mistakes in meta-analysis * Discusses controversies in meta-analysis * Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world's leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics. The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University

Anbieter: buecher
Stand: 19.09.2020
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Python for Data Analysis: A Beginner’s Guide to...
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Data analysis requires a detailed understanding of the operation of the computers, peripherals, and software in question. The objective is to give the you the knowledge necessary to familiarize themselves with the Python language by orienting the problem to focus on the functioning of these objects. This book was written with the desire to be accessible to everyone and the conviction that a "democratization" of the understanding of the computer tool is now essential.This book offers a detailed approach: It begins with an introduction to the Python language and then presents how to use it to retrieve and manipulate the data produced by our computers. The authors thus deal with various themes ranging from the inspection of the process RAM to the internal functioning of mainstream software or the extraction of web browser history.Different tools are studied: from the most basic to the most recent technologies such as machine learning with scikit-learn and its ecosystem resulting from scientific computing compiles (if there is no updated bytecode on disk), and runs on the Python Virtual Machine.With Python for Data Analysis, you'll learn step by step how to implement data analysis and procedures to extract data correctly.In this, you also will learning:What’s data analysisPython for data analysisData aggregationApplication of data analytic todayMathematics for data analysisData wranglingScipy, numpy, pandaWhile most books focus on advanced predictive models, this book begins to explain the basic concepts and how to correctly implement Data Analysis and Data Visualization, with practical examples and simple coding scripts.This guide provides the necessary knowledge practically. You will learn the steps of Data Analysis, how to implement them in Python, and the most important applications in the real world.Would you like to know more 1. Language: English. Narrator: Peter Prova. Audio sample: http://samples.audible.de/bk/acx0/203164/bk_acx0_203164_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 19.09.2020
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Excel PivotTables and Dashboard: The Step-by-St...
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Do you want to show your data in a stunning dashboard? Or do you want to create a dashboard that you have to update frequently? Let's talk about how to do it! Any report you want! Are really serious about Excel pivot tables and Dashboard and want to get into the real "Excel" world within the next seven days of your life?If yes then you are in the right place. Why? Because this is the only book that comes with interactive codes (thoroughly tested and proofread by experts), expert tips and tricks (to stand out from the crowd), and exercises (with their solutions) (to make the concepts stick to your mind). Excel is a powerful yet highly accessible tool for data analyst using data stored on spreadsheets. Microsoft is continuously developing new features based on feedback by Excel Power-User beta testers, data analysts, and Excel aficionados. Regardless of these new features, those who get the most out of the data analysis features in Excel are those who understand the investigative process: creating new ways of looking at the data through asking the right questions. Excel pivot tables have many features that allow you to cut and slice data on the fly. After initializing and loading the data into pivot tables, it is a straightforward process to create interactive drag-and-drop analyst dashboards. Excel for the web even makes it possible to publish dynamic dashboards online for your clients. However, unfortunately, many tend to mistake Excel and pivot tables as the primary tool for creating these new perspectives. While these tools may allow you to create a presentation, the impact of that presentation depends solely on your grasp of the analysis process and the way you present your content. Accurate and scientifically sound modeling is the only way to ensure data-driven business decisions. This distinction separates data entry freelancers from business analyst consultants who inform trends in their field.Excel Pi 1. Language: English. Narrator: William Bahl. Audio sample: http://samples.audible.de/bk/acx0/172066/bk_acx0_172066_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 19.09.2020
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Python: Comprehensive Python Programming from t...
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The Python programming language is one of the 10 most popular programming languages in use. It is in implementation with some of the largest companies in the world, including Reddit, Mozilla, Instagram, Spotify, YouTube, Disney, and Google. It is easy to learn, easy to read, and is an essential tool in any programmer’s arsenal. Python is a high-level interpreted programming language, focusing on readability and simplicity. It supports numerous popular programming paradigms, including object oriented, procedural, functional, and imperative. It is a comfortable first language for the novice programmer and an important addition to mid-level and veteran programmers alike.Python: Comprehensive Python Programming from the Ground Up is designed to make Python programming accessible to the novice user. This audiobook will break up the material into bite-sized chunks and take listeners from uninitiated programmer to expert coder, with layman explanations and code examples. In it, we will cover: A brief introduction and history about Python Downloading and installing Python Menus Identifiers Data types Lists Functions Comments If statements Loops And much, much more! Interested in a career in scripting? Automated testing? Cryptography? Web development? Data analysis? Machine learning? All of these disciplines utilize Python. Whether you’re dipping your toes into the pool for the first time or swimming in the deep end, this audiobook will be the lifesaver you need to navigate the waters of Python coding with ease and confidence. Download Python: Comprehensive Python Programming from the Ground Up today!PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. 1. Language: English. Narrator: Sean Posvistak. Audio sample: http://samples.audible.de/bk/acx0/143082/bk_acx0_143082_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 19.09.2020
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Python: The Ultimate Crash Course for Data Anal...
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If you work in data science, or if you are hoping to make it your career, Python is a must!It’s no secret that many jobs will be eliminated in the near future. While that reality may be difficult to digest, it’s also believed that the most responsible party - namely, automation - will lead the way in a golden age of opportunity. That’s because there will be a tremendous need for people who are capable of programming all those new systems. And, the language of choice for machine learning software is Python which, as it happens, is the perfect first language to learn.Python has now toppled Java to become the most taught programming languages in universities and academia! Learning Python not only will make you a polyglot programmer, but also gives you a powerful tool in your arsenal to write scripts, create a web application, and open the door to the exciting fields of data science and machine learning.In this audiobook, you will learn the fundamentals of Python. Here is a preview of what you’ll learn:The Basics of Python ProgrammingTypes of VariablesMethods/ Functions in PythonPython OperationsFlow ControlClass and ObjectsData Processing, Analysis, and VisualizationApplications of Machine LearningSpecial MethodsAnd much, much more!It’s important to know programming and coding in today’s world, and if you don’t know coding you are missing something important. Python is a great way to start learning to code.What are you waiting for? A few dollars spent are the value of your skill improvement? It’s definitely possible to learn Python on your own. To learn it, steps by step, click on the "buy now" button and start learning!  1. Language: English. Narrator: Timothy Burke. Audio sample: http://samples.audible.de/bk/acx0/196297/bk_acx0_196297_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 19.09.2020
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