Book Image

Managing Data Science

By : Kirill Dubovikov
Book Image

Managing Data Science

By: Kirill 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)
Free Chapter
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

What You Can Do with Data Science

I once told a friend who works as a software developer about one of the largest European data science conferences. He showed genuine interest and asked whether we could go together. Sure, I said. Let's broaden our knowledge together. It will be great to talk to you about machine learning. Several days later, we were sitting in the middle of a large conference hall. The first speaker had come on stage and told us about some technical tricks he used to win several data science competitions. When the next speaker talked about tensor algebra, I noticed a depleted look in the eyes of my friend.

What's up? I asked.

I'm just wondering when they'll show us the robots.

To avoid having incorrect expectations, we need to inform ourselves. Before building a house, you'd better know how a hammer works. Having basic...