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Managing Data Science

Managing Data Science

By : Dubovikov
5 (2)
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Managing Data Science

Managing Data Science

5 (2)
By: Dubovikov

Overview of this book

Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis.
Table of Contents (18 chapters)
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1
Section 1: What is Data Science?
5
Section 2: Building and Sustaining a Team
9
Section 3: Managing Various Data Science Projects
14
Section 4: Creating a Development Infrastructure

Understanding mathematical optimization

First, we will explore the concept of mathematical optimization. Optimization is the central component of machine learning problem. It turns out that the learning process is nothing more than a mere mathematical optimization problem. The trick is to define it properly. To come up with a good definition, we first need to understand how mathematical optimization works and which problems it can solve.

If you work in the business sector, I bet that you hear the word optimization several times a day. To optimize something means to make it more efficient, cut costs, increase revenues, and minimize risks. Optimization involves taking a number of actions, measuring results, and deciding whether you have ended up in a better place.

For example, to optimize your daily route to work, you can minimize the total time you spend driving from home to the...

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