Machine Learning in Biotechnology and Life Sciences
Machine Learning in Biotechnology and Life Sciences is a critically timed book for scientists and developers working in the biotechnology sector. This book takes a hands-on approach to bridging the gap for scientists who have a strong desire to learn and apply AI methods within their roles to drive efficiency and agility in their company.
Offered by
Difficulty Level
Intermediate
Completion Time
13h36m
Language
English
About Book
Who Is This Book For?
This book is for data scientists and scientific professionals looking to transcend to the biotechnology domain. Scientific professionals who are already established within the pharmaceutical and biotechnology sectors will find this book useful. A basic understanding of Python programming and beginner-level background in data science conjunction is needed to get the most out of this book.
Machine Learning in Biotechnology and Life Sciences
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h36m total length
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
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