Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
"Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features the numeric representations of data into formats for machine-learning models. Ea...
Պահպանված է:
| Հիմնական հեղինակ: | |
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| Այլ հեղինակներ: | |
| Ձևաչափ: | Գիրք |
| Լեզու: | անգլերեն |
| Հրապարակվել է: |
New Delhi
Shroff Publishers & Distributors Pvt. Ltd.
2019
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| Խորագրեր: | |
| Ցուցիչներ: |
Ավելացրեք ցուցիչ
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| Ամփոփում: | "Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features the numeric representations of data into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering." |
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| Ֆիզիկական նկարագրություն: | xiii, 201 p. |
| ISBN: | 9789352137114 |