Machine Learning with Python for Everyone Paperback / softback -
by Mark Fenner
- New
- Paperback
Description
Standard delivery: 7 to 12 days
Details
- Title Machine Learning with Python for Everyone
- Author Mark Fenner
- Binding Paperback / softback
- Condition New
- Pages 592
- Volumes 1
- Language ENG
- Publisher Addison-Wesley Professional
- Bookseller's Inventory # ria9780134845623_inp
- ISBN 9780134845623 / 0134845625
- Weight 2 lbs (0.91 kg)
- Dimensions 9 x 6.9 x 1.3 in (22.86 x 17.53 x 3.30 cm)
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From the rear cover
Students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learning with Python for Everyone brings together all they'll need to succeed: a practical understanding of the machine learning process, accessible code, skills for implementing that process with Python and the scikit-learn library, and real expertise in using learning systems intelligently.
Reflecting 20 years of experience teaching non-specialists, Dr. Mark Fenner teaches through carefully-crafted datasets that are complex enough to be interesting, but simple enough for non-specialists. Building on this foundation, Fenner presents real-world case studies that apply his lessons in detailed, nuanced ways. Throughout, he offers clear narratives, practical "code-alongs," and easy-to-understand images -- focusing on mathematics only where it's necessary to make connections and deepen insight.
- All students need to succeed in data science with Python: process, code, and implementation
- Students will understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems
- Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets
All you need to succeed in data science with Python: process, code, and implementation
- Understand the machine learning process, leverage the powerful Python scikit-learn library, and master the algorithmic components of learning systems
- Integrates clear narrative, carefully designed Python code, images, and interesting, intelligible datasets
- For wide audiences of analysts, managers, project leads, statisticians, developers, and students who want a quick jumpstart into data science
