AI Fundamentals for Data Professionals

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Sadie St. Lawrence

1:07:35

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01 - Introduction

01 - Introduction.mp4

01:06

02 - 1. Introduction to AI and Machine Learning

01 - AI and machine learning overview.mp4

04:10

02 - Types of machine learning.mp4

03:48

03 - Popular AI and ML tools.mp4

03:41

04 - AI applications and use cases.mp4

03:01

03 - 2. Data and Feature Engineering

01 - Data types and sources.mp4

03:31

02 - Exploratory data analysis (EDA).mp4

03:17

03 - Data preprocessing techniques.mp4

03:13

04 - Feature engineering.mp4

03:10

04 - 3. High-Level Machine Learning Techniques

01 - Supervised learning overview.mp4

03:42

02 - Unsupervised learning overview.mp4

03:34

03 - Reinforcement learning overview.mp4

04:37

04 - Deep learning overview Part 1.mp4

04:33

05 - Deep learning overview Part 2.mp4

03:46

05 - 4. Implementation and Future Trends

01 - Model evaluation and validation.mp4

03:31

02 - AI project lifecycle.mp4

03:21

03 - AI ethics and bias Part 1.mp4

04:34

04 - AI ethics and bias Part 2.mp4

03:51

06 - Conclusion

01 - Bring it all together.mp4

03:09

Description

If you currently work as a data professional or are looking to land a role in the field, you need to build a foundational understanding of AI concepts, techniques, and tools in order to truly leverage AI and ML effectively. Join instructor Sadie St. Lawrence to learn how to optimize data-driven decision-making processes within your organization by developing in-demand AI and ML skills. Get equipped with essential knowledge for data professionals to stay relevant and competitive in this ever-evolving field, as AI continues to transform the way we work with and understand the value of data. Explore popular tools such as PyTorch, scikit-learn, Keras, XGBoost, and Hugging Face as well as core concepts in data and feature engineering, machine learning, AI ethics, and more.

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Data Science

Artificial Intelligence

Sadie St. Lawrence

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.