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Cracking the Data Science Interview

You're reading from   Cracking the Data Science Interview Unlock insider tips from industry experts to master the data science field

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781805120506
Length 404 pages
Edition 1st Edition
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Authors (2):
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Leondra R. Gonzalez Leondra R. Gonzalez
Author Profile Icon Leondra R. Gonzalez
Leondra R. Gonzalez
Aaren Stubberfield Aaren Stubberfield
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Aaren Stubberfield
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Breaking into the Data Science Field FREE CHAPTER
2. Chapter 1: Exploring Today’s Modern Data Science Landscape 3. Chapter 2: Finding a Job in Data Science 4. Part 2: Manipulating and Managing Data
5. Chapter 3: Programming with Python 6. Chapter 4: Visualizing Data and Data Storytelling 7. Chapter 5: Querying Databases with SQL 8. Chapter 6: Scripting with Shell and Bash Commands in Linux 9. Chapter 7: Using Git for Version Control 10. Part 3: Exploring Artificial Intelligence
11. Chapter 8: Mining Data with Probability and Statistics 12. Chapter 9: Understanding Feature Engineering and Preparing Data for Modeling 13. Chapter 10: Mastering Machine Learning Concepts 14. Chapter 11: Building Networks with Deep Learning 15. Chapter 12: Implementing Machine Learning Solutions with MLOps 16. Part 4: Getting the Job
17. Chapter 13: Mastering the Interview Rounds 18. Chapter 14: Negotiating Compensation 19. Index 20. Other Books You May Enjoy

Implementing Machine Learning Solutions with MLOps

Machine Learning Operations (MLOps) has emerged as a pivotal force in the data-driven age, enabling organizations to develop, deploy, and maintain machine learning models efficiently and effectively. It addresses key challenges related to speed, collaboration, governance, scalability, and cost, making it a discipline to be aware of for anyone navigating the modern landscape of artificial intelligence and machine learning.

In the following sections, we will break down the concept of MLOps, explore its core components, and provide insights into how it can elevate your machine learning initiatives. Whether you’re an aspiring data scientist looking to see your models in action, an IT professional managing infrastructure, or a business leader shaping data-driven strategies, this chapter will equip you with the knowledge and tools you need to navigate the exciting and dynamic world of MLOps and have confidence in applying machine...

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