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Python Machine Learning

the complete beginner's guide to deep learning with python.Learn to use scikit-learn and pandas Engelstalig

Python Machine Learning - Willard D Sanders
Paperback
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Omschrijving

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!


Specificaties

  • Auteur:
  • Uitgever:
  • ISBN:
    9781801131223
  • Bindwijze:
    Paperback
  • Afmetingen:
    15,3 x 22,9 x ,8 cm
  • Gewicht:
    150 gram
  • Aantal Pagina's:
    100
  • Taal:
    Engelstalig
  • Druk:
    1e
  • Publicatiedatum:
    Oktober 2020

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