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Data Science Programming All-in-One For Dummies Paperback – Jan. 9 2020
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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!
- ISBN-101119626110
- ISBN-13978-1119626114
- Edition1st
- PublisherFor Dummies
- Publication dateJan. 9 2020
- LanguageEnglish
- Dimensions18.8 x 4.32 x 23.37 cm
- Print length768 pages
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Product description
From the Inside Flap
Your complete guide to data science programming
This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear and logistic regression, ensembles of learners, deep neural networks, recommenders, optimization and validation of models. However, it isn't all about using math to manipulate the data. You use the math to perform the very same machine learning and deep learning tasks that make doctors more efficient, reduce traffic accidents and solve business problems, as well as many other problems of daily life. Knowing the math also enables you to do things like analyze image and audio data, create graphics that allow others to understand the data, and even possibly become an artist.
6 Books Inside…
- Defining Data Science
- Interacting with Data Storage
- Manipulating Data Using Basic Algorithms
- Performing Advanced Data Manipulation
- Performing Data-related Tasks
- Diagnosing and Fixing Errors
From the Back Cover
Your complete guide to data science programming
This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear and logistic regression, ensembles of learners, deep neural networks, recommenders, optimization and validation of models. However, it isn't all about using math to manipulate the data. You use the math to perform the very same machine learning and deep learning tasks that make doctors more efficient, reduce traffic accidents and solve business problems, as well as many other problems of daily life. Knowing the math also enables you to do things like analyze image and audio data, create graphics that allow others to understand the data, and even possibly become an artist.
6 Books Inside…
- Defining Data Science
- Interacting with Data Storage
- Manipulating Data Using Basic Algorithms
- Performing Advanced Data Manipulation
- Performing Data-related Tasks
- Diagnosing and Fixing Errors
About the Author
John Mueller has produced 114 books and more than 600 articles on topics ranging from functional programming techniques to working with Amazon Web Services (AWS). Luca Massaron, a Google Developer Expert (GDE),??interprets big data and transforms it into smart data through simple and effective data mining and machine learning techniques.
Product details
- Publisher : For Dummies; 1st edition (Jan. 9 2020)
- Language : English
- Paperback : 768 pages
- ISBN-10 : 1119626110
- ISBN-13 : 978-1119626114
- Item weight : 1.35 kg
- Dimensions : 18.8 x 4.32 x 23.37 cm
- Best Sellers Rank: #365,109 in Books (See Top 100 in Books)
- #24 in Programming for Dummies
- #177 in Data Mining
- #259 in Database Storage & Design Textbooks
- Customer Reviews:
About the authors
Luca Massaron is a data scientist and a research director specialized in multivariate statistical analysis, machine learning and customer insight with over a decade of experience in solving real world problems and in generating value for stakeholders by applying reasoning, statistics, data mining and algorithms. From being a pioneer of Web audience analysis in Italy to achieving the rank of top ten data scientist at competitions held by kaggle.com, he has always been passionate about everything regarding data and analysis and about demonstrating the potentiality of data-driven knowledge discovery to both experts and non-experts. Favouring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science just by doing the essential.
John Mueller is a freelance author and technical editor. He has writing in his blood, having produced 117 books and over 600 articles to date. He has also written his second children's book recently, Tail of the Wuggly Bump. His technical topics range from networking to artificial intelligence and from database management to heads down programming. His most recent book is "Machine Learning for Dummies, 2nd Edition." His technical editing skills have helped over 70 authors refine the content of their manuscripts. You can reach John on the Internet at John@JohnMuellerBooks.com and his Web site at: http://www.johnmuellerbooks.com. Make sure to read his blog at http://blog.johnmuellerbooks.com to obtain the latest book information, updates, and extra materials.