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Applied Machine Learning and High-Performance Computing on AWS

You're reading from   Applied Machine Learning and High-Performance Computing on AWS Accelerate the development of machine learning applications following architectural best practices

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781803237015
Length 382 pages
Edition 1st Edition
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Authors (4):
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Trenton Potgieter Trenton Potgieter
Author Profile Icon Trenton Potgieter
Trenton Potgieter
Shreyas Subramanian Shreyas Subramanian
Author Profile Icon Shreyas Subramanian
Shreyas Subramanian
Farooq Sabir Farooq Sabir
Author Profile Icon Farooq Sabir
Farooq Sabir
Mani Khanuja Mani Khanuja
Author Profile Icon Mani Khanuja
Mani Khanuja
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Introducing High-Performance Computing
2. Chapter 1: High-Performance Computing Fundamentals FREE CHAPTER 3. Chapter 2: Data Management and Transfer 4. Chapter 3: Compute and Networking 5. Chapter 4: Data Storage 6. Part 2: Applied Modeling
7. Chapter 5: Data Analysis 8. Chapter 6: Distributed Training of Machine Learning Models 9. Chapter 7: Deploying Machine Learning Models at Scale 10. Chapter 8: Optimizing and Managing Machine Learning Models for Edge Deployment 11. Chapter 9: Performance Optimization for Real-Time Inference 12. Chapter 10: Data Visualization 13. Part 3: Driving Innovation Across Industries
14. Chapter 11: Computational Fluid Dynamics 15. Chapter 12: Genomics 16. Chapter 13: Autonomous Vehicles 17. Chapter 14: Numerical Optimization 18. Index 19. Other Books You May Enjoy

Applying ML to genomics

Before we dive into ML model details, let’s first understand the genomic data, which is stored as DNA in every organism. There are four chemical bases present in DNA, namely Adenine (A), Thymine (T), Cytosine (C) and Guanine (G). They always bond in particular manner for example, Adenine will always bond with Thymine, and Cytosine with Guanine. The combination of these chemical bases is what makes up a DNA sequence, represented by the letters A, T, C, and G. A 20-length example of a DNA sequence is ACTCCACAGTACCTCCGAGA. A single complete sequence of the human genome is around 3 billion base pairs (bp) long and takes about 200 GB of data storage (https://www.science.org/doi/10.1126/science.abj6987).

However, for analyzing the DNA sequence, we don’t need the complete human genome sequence. Usually, we analyze a part of the human DNA; for example, to determine hair growth or skin growth, a lab technician will take a small section of human skin...

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