PYTHON MACHINE LEARNING : the complete beginner's guide to deep learning with python. Learn to use scikit-learn and pandas.
Language: English
Published by Charlie Creative Lab, 2020
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 29.65
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Are you a machine learning aspirant Do you want to learn more about machine learning associated with Python If yes, this book a great addition to your machine learning book collection.Being one of the most preferred computer languages, from scripting to machine learning, do not be surprised if Python is used everywhere. This programming language is gaining popularity among machine learning professionals.Machine learning, a part of the data science category, takes the Python solutions for making informed decisions by using algorithms. As you probably noticed, many companies invest in a resourced pool related to machine learning. Plus, machine learning is combined with Python to leverage the expected results.Not only does Python gained popularity in different sectors of software development, but it also obtained the leading position in today's machine learning domain.What makes Python well-suited for machine learning projects This programming language has a perfect mix of consistent syntax, shorter development time, and simplicity.In case you are just about to explore machine learning through Python, this 'Python Machine Learning' book is what you need.This book covers:What is machine learningDeep learning and artificial learningDifference between unsupervised learning and supervised learningThe advantages of using Python in machine learningHow to progress with Python machine learningThe main libraries you can use to start machine learningAnd so much more!Are you excited to learn everything about Python Machine Learning Then, grab a copy of this book now. Happy reading.…
Seller Inventory # 9781801131247
- Title
- PYTHON MACHINE LEARNING : the complete beginner's guide to deep learning with python. Learn to use scikit-learn and pandas.
- Author
- Willard D. Sanders
- Publisher
- Charlie Creative Lab
- Publication year
- 2020
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1801131244
- ISBN 13
- 9781801131247
- Item weight
- 308 grams
- Dimensions
- 235x157x10 mm
Are you a machine learning aspirant? Do you want to learn more about machine learning associated with Python? If yes, this book a great addition to your machine learning book collection.
Being one of the most preferred computer languages, from scripting to machine learning, do not be surprised if Python is used everywhere. This programming language is gaining popularity among machine learning professionals.
Machine learning, a part of the data science category, takes the Python solutions for making informed decisions by using algorithms. As you probably noticed, many companies invest in a resourced pool related to machine learning. Plus, machine learning is combined with Python to leverage the expected results.
Not only does Python gained popularity in different sectors of software development, but it also obtained the leading position in today's machine learning domain.
What makes Python well-suited for machine learning projects? This programming language has a perfect mix of consistent syntax, shorter development time, and simplicity.
In case you are just about to explore machine learning through Python, this "Python Machine Learning" book is what you need.
This book covers:
- What is machine learning
- Deep learning and artificial learning
- Difference between unsupervised learning and supervised learning
- The advantages of using Python in machine learning
- How to progress with Python machine learning
- The main libraries you can use to start machine learning
And so much more!
Are you excited to learn everything about Python Machine Learning? Then, grab a copy of this book now. Happy reading!
"Synopsis" may belong to another edition of this title.
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