Data Science Programming All-In-One for Dummies

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 b...

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Bibliographic Details
Main Authors: Mueller, John Paul (Author), Massaron, Luca (Author)
Format: Electronic
Language: English
Published: Hoboken : For Dummies [Imprint] John Wiley & Sons, Incorporated. Jan. 2020
Subjects:
ISBN: 9781119626114
1119626110
Physical Description: 1 online resource (768 p.)

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Table of contents

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008 190524e20200109nju o ||| 0 eng d
040 |a VT2  |b eng  |c VT2  |d UAB  |d OCLCO  |d TOH  |d OCLCO  |d COO  |d UKAHL  |d OCLCO  |d OCLCQ  |d OCL  |d OCLCO  |d OCLCL  |d OCLCQ 
020 |a 9781119626114 
020 |a 1119626110  |q (Trade Paper) 
024 3 |a 9781119626114 
035 |a (OCoLC)1202562048  |z (OCoLC)1264976655 
100 1 |a Mueller, John Paul  |e Author. 
245 1 0 |a Data Science Programming All-In-One for Dummies  |h [electronic resource]. 
260 |b For Dummies [Imprint]  |c Jan. 2020  |a Hoboken :  |b John Wiley & Sons, Incorporated. 
300 |a 1 online resource (768 p.) 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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! 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Big data  |x Statistical methods. 
650 0 |a Big data. 
650 0 |a Computer programming. 
650 0 |a Data mining  |x Computer programs. 
650 0 |a Data mining  |x Statistical methods. 
650 0 |a Data mining. 
650 0 |a Data structures (Computer science) 
650 0 |a Machine learning. 
650 0 |a Python (Computer program language) 
650 0 |a R (Computer program language) 
650 0 |a Databases. 
650 0 |a Information retrieval. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Massaron, Luca  |e Author. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpDSPAOD0G/data-science-programming?kpromoter=marc  |y Full text