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Machine Learning in Biotechnology and Life Sciences
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Table of Contents

Table of Contents

  • Introducing Machine Learning for Biotechnology
  • Introducing Python and the Command Line
  • Getting Started with SQL and Relational Databases
  • Visualizing Data with Python
  • Understanding Machine Learning
  • Unsupervised Machine Learning
  • Supervised Machine Learning
  • Understanding Deep Learning
  • Natural Language Processing
  • Exploring Time Series Analysis
  • Deploying Models with Flask Applications
  • Deploying Applications to the Cloud
  • About the Author

    Saleh Alkhalifa is a data scientist and manager in the biotechnology industry with 4 years of industry experience working and living in the Boston area. With a strong academic background in the applications of machine learning for discovery, prediction, forecasting, and analysis, he has spent the last 3 years developing models that touch all facets of business and scientific functions.

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