Saleh Alkhalifa

Machine Learning in Biotechnology and Life Sciences (eBook, ePUB)

Build machine learning models using Python and deploy them on the cloud

• Format: ePub

Produktbeschreibung

The booming fields of biotechnology and life sciences have seen drastic changes over the last few years. With competition growing in every corner, companies around the globe are looking to data-driven methods such as machine learning to optimize processes and reduce costs. This book helps lab scientists, engineers, and managers to develop a data scientist's mindset by taking a hands-on approach to learning about the applications of machine learning to increase productivity and efficiency in no time.

You'll start with a crash course in Python, SQL, and data science to develop and tune sophisticated models from scratch to automate processes and make predictions in the biotechnology and life sciences domain. As you advance, the book covers a number of advanced techniques in machine learning, deep learning, and natural language processing using real-world data.

By the end of this machine learning book, you'll be able to build and deploy your own machine learning models to automate processes and make predictions using AWS and GCP.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 408
• Erscheinungstermin: 28. Januar 2022
• Englisch
• ISBN-13: 9781801815673
• Artikelnr.: 70295099

Autorenporträt

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.