Cargando…
The supervised learning workshop : a new interactive approach to understanding supervised learning algorithms /
Cut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms Key Features Ideal for those getting started with machine learning for the first time A step-by-step machine learning tutorial with exercises and activities that help build key ski...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2020.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | EBSCO_on1190651616 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 200824s2020 enka ob 000 0 eng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d OCLCF |d UKAHL |d N$T |d UKMGB |d TEFOD |d OCLCO |d CZL |d OCLCQ |d OCLCO |d K6U |d OCL |d OCLCQ | ||
| 015 | |a GBC0K0214 |2 bnb | ||
| 015 | |a GBC101722 |2 bnb | ||
| 016 | 7 | |a 019747437 |2 Uk | |
| 016 | 7 | |a 020052271 |2 Uk | |
| 019 | |a 1147805319 | ||
| 020 | |a 9781800208322 | ||
| 020 | |a 1800208324 | ||
| 020 | |z 9781800209046 | ||
| 029 | 1 | |a UKMGB |b 019747437 | |
| 029 | 1 | |a UKMGB |b 020052271 | |
| 029 | 1 | |a AU@ |b 000068540052 | |
| 035 | |a (OCoLC)1190651616 |z (OCoLC)1147805319 | ||
| 037 | |a CL0501000136 |b Safari Books Online | ||
| 037 | |a 2D3FCB17-2EFC-49F9-B7B6-94B0CCBFA733 |b OverDrive, Inc. |n http://www.overdrive.com | ||
| 050 | 4 | |a Q325.5 | |
| 082 | 0 | 4 | |a 006.31 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Bateman, Blaine, |e author. | |
| 245 | 1 | 4 | |a The supervised learning workshop : |b a new interactive approach to understanding supervised learning algorithms / |c Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, Ishita Mathur. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2020. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from cover (Safari, viewed August 20, 2020). | |
| 500 | |a Previous edition published: 2019. | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a Cut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms Key Features Ideal for those getting started with machine learning for the first time A step-by-step machine learning tutorial with exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book Description You already know you want to understand supervised learning, and a smarter way to do that is to learn by doing. The Supervised Learning Workshop focuses on building up your practical skills so that you can deploy and build solutions that leverage key supervised learning algorithms. You'll learn from real examples that lead to real results. Throughout The Supervised Learning Workshop, you'll take an engaging step-by-step approach to understand supervised learning. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend learning how to predict future values with auto regressors. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Supervised Learning Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book. Fast-paced and direct, The Supervised Learning Workshop is the ideal companion for those with some Python background who are getting started with machine learning. You'll learn how to apply key algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead. What you will learn Get to grips with the fundamental of supervised learning algorithms Discover how to use Python libraries for supervised learning Learn how to load a dataset in pandas for testing Use different types of plots to visually represent the data Distinguish between regression and classification p ... | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Information visualization. | |
| 650 | 0 | |a Electronic data processing. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Visualisation de l'information. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a Algorithms. |2 fast |0 (OCoLC)fst00805020 | |
| 650 | 7 | |a Computer algorithms |2 fast |0 (OCoLC)fst00872010 | |
| 650 | 7 | |a Electronic data processing |2 fast |0 (OCoLC)fst00906956 | |
| 650 | 7 | |a Information visualization |2 fast |0 (OCoLC)fst00973185 | |
| 650 | 7 | |a Machine learning |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 700 | 1 | |a Jha, Ashish Ranjan, |e author. | |
| 700 | 1 | |a Johnston, Benjamin |c (Computer scientist), |e author. | |
| 700 | 1 | |a Mathur, Ishita, |e author. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2384228 |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH37297301 | ||
| 938 | |a EBSCOhost |b EBSC |n 2384228 | ||
| 994 | |a 92 |b IZTAP | ||