Python: Deeper Insights into Machine Learning

[PDF] Python: Deeper Insights into Machine Learning | by ✓ Sebastian Raschka David Julian John Hearty - Python: Deeper Insights into Machine Learning, Python Deeper Insights into Machine Learning Leverage benefits of machine learning techniques using Python About This Book Improve and optimise machine learning systems using effective strategies Develop a strategy to deal with a large amount of
  • Title: Python: Deeper Insights into Machine Learning
  • Author: Sebastian Raschka David Julian John Hearty
  • ISBN: -
  • Page: 277
  • Format: Kindle Edition

[PDF] Python: Deeper Insights into Machine Learning | by ✓ Sebastian Raschka David Julian John Hearty, Python: Deeper Insights into Machine Learning, Sebastian Raschka David Julian John Hearty, Python Deeper Insights into Machine Learning Leverage benefits of machine learning techniques using Python About This Book Improve and optimise machine learning systems using effective strategies Develop a strategy to deal with a large amount of data Use of Python code for implementing a range of machine learning algorithms and techniques Who This Book Is For This title is for data scientist and [PDF] Python: Deeper Insights into Machine Learning | by ✓ Sebastian Raschka David Julian John Hearty - Python: Deeper Insights into Machine Learning, Python Deeper Insights into Machine Learning Leverage benefits of machine learning techniques using Python About This Book Improve and optimise machine learning systems using effective strategies Develop a strategy to deal with a large amount of
  • [PDF] Python: Deeper Insights into Machine Learning | by ✓ Sebastian Raschka David Julian John Hearty
    277 Sebastian Raschka David Julian John Hearty
Python: Deeper Insights into Machine Learning

About Author

  1. Some of my greatest passions are Data Science and machine learning I enjoy everything that involves working with data The discovery of interesting patterns and coming up with insightful conclusions using techniques from the fields of data mining and machine learning for predictive modeling.I am a big advocate of working in teams and the concept of open source In my opinion, it is a positive feedback loop Sharing ideas and tools that are useful to others and getting constructive feedback that helps us learn A little bit about myself Currently, I am sharpening my analytical skills as a PhD candidate at Michigan State University where I am currently working on a highly efficient virtual screening software for computer aided drug discovery and a novel approach to protein ligand docking among other projects Basically, it is about the screening of a database of millions of 3 dimensional structures of chemical compounds in order to identifiy the ones that could potentially bind to specific protein receptors in order to trigger a biological response.In my free time I am also really fond of sports Either playing soccer or tennis in the open air or building models for predictions I always enjoy creative discussions, and I am happy to connect with people Please feel free to contact me by email or in one of those many other networks

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