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Pathway
Junior Machine Learning Engineer
Published by Pearson
ISBN-13: 9780135441008
Product Information
Learn the skills needed to become a junior machine learning engineer. Explore how to directly impact an organization’s capability to leverage data by implementing and optimizing machine learning models and working with large datasets. This pathway covers Python’s capabilities for data science and machine learning, sentiment analysis, image recognition tools, website data scraping, linear algebra theory for machine learning applications, calculus basics, probability theory, statistical modeling, integrating cutting-edge Generative AI tools into your workflow, ChatGPT, GitHub Copilot, prompt engineering fundamentals, and Amazon Web Services fundamentals and tools.
Skill up with Python: Data Science and Machine Learning Recipes by Shaun Wassell
The Essential Machine Learning Foundations by Jon Krohn
Generative AI for Python Developers by Shaun Wassell
Amazon Web Services (AWS), 3rd Edition by Chad Smith
Shaun Wassell is a lifelong programmer whose goal is to help people build incredible software and solve meaningful problems. He is a popular trainer with Pearson Education and CBT Nuggets. He focuses on Web Development, Programming, and AI.
Jon Krohn hosts Super Data Science, the data science industry's most listened-to podcast and is the author of the bestselling book, Deep Learning Illustrated. He has been publishing on machine learning in prominent academic journals since 2010.
Chad Smith is an author and trainer focused on cloud infrastructure and management. He is the Principal Cloud Architect at Brightkey.cloud and has years of personal experience in cloud adoption, infrastructure design, operations, security and AI.