You're reading from Cracking the Data Science Interview

Product typeBook

Published inFeb 2024

PublisherPackt

ISBN-139781805120506

Edition1st Edition

Concepts

Data Science

Authors (2):

Leondra R. Gonzalez

Aaren Stubberfield

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Part 3: Exploring Artificial Intelligence

The third part of this book covers various data mining techniques, how they work, the assumptions they make, their evaluation criteria, and their applications. We start with the foundations of inferential statistics, followed by increasingly more advanced data mining tasks, including the most popular machine learning models, neural networks, and generative AI. This part ends with helpful tips on deploying an effective MLOps strategy.

This part includes the following chapters:

Chapter 8, Mining Data with Probability and Statistics
Chapter 9, Understanding Feature Engineering and Preparing Data for Modeling
Chapter 10, Mastering Machine Learning Concepts
Chapter 11, Building Networks with Deep Learning
Chapter 12, Implementing Machine Learning Solutions with MLOps

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Published in: Feb 2024Publisher: PacktISBN-13: 9781805120506

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Authors (2)

Leondra R. Gonzalez

Leondra R. Gonzalez is a data scientist at Microsoft and Chief Data Officer for tech startup CulTRUE, with 10 years of experience in tech, entertainment, and advertising. During her academic career, she has completed educational opportunities with Google, Amazon, NBC, and AT&T.
Read more about Leondra R. Gonzalez

Aaren Stubberfield

Aaren Stubberfield is a senior data scientist for Microsoft's digital advertising business and the author of three popular courses on Datacamp. He graduated with an MS in Predictive Analytics and has over 10 years of experience in various data science and analytical roles focused on finding insights for business-related questions.
Read more about Aaren Stubberfield

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