Become an AI and Machine Learning Specialist: Part I
AI and machine learning are the new frontiers of technology. Build a foundational conceptual understanding of AI and machine learning, and acquire the fundamental data science skills involved in developing algorithms.
Master core concepts, including NLP and neural networks.
Build your Python skills as they apply to machine learning.
Artificial Intelligence Foundations: Thinking Machines with Doug Rose
Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.
1h 27m • COURSE
Building a Recommendation System with Python Machine Learning & AI with Lillian Pierson, P.E.
Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems, and shows how to build each one.
1h 38m • COURSE
The Essential Elements of Predictive Analytics and Data Mining with Keith McCormick
Learn the basics of data mining and predictive analytics. Learn the steps of a real-world project, from defining the problem to putting the solution into practice, and review CRISP-DM and the 9 laws of data mining.
1h 28m • COURSE
Machine Learning and AI Foundations: Value Estimations with Adam Geitgey
Discover how to solve value estimation problems with machine learning. Learn how to build a value estimation system that can estimate the value of a home.
1h 4m • COURSE
Machine Learning and AI Foundations: Recommendations with Adam Geitgey
This project-based course shows programmers of all skill levels how to use machine learning to build programs that can make recommendations—like recommending new products to customers based on how they reviewed other products.
58m 7s • COURSE
You'll learn AI and machine learning skills with these experts
Doug Rose teaches Fortune 500s and next-gen project management professionals how to be agile and lead change.
Doug Rose specializes in organizational coaching, training, and change management. He's worked for more than 20 years transforming organizations with technology and training. He's helped several Fortune 500 clients optimize their business processes and improve productivity and delivery. His most recent book is Leading Agile Teams. He also teaches several lively and engaging courses at the University of Chicago, Syracuse University, Emory University, and the University of Virginia.
Doug has a master's degree in information management and a juris doctor (JD) degree. He is a certified Project Management Professional (PMP), Agile Certified Professional (PMI-ACP), Certified ScrumMaster (CSM), Certified Scrum Professional (CSP), and CompTIA Certified Technical Trainer (CTT+), as well as a Cloudera Certified Developer for Apache Hadoop (CCHD).
Lillian Pierson, P.E. is a leading expert in the field of big data and data science.
She equips working professionals and students with the data skills they need to stay competitive in today's data-driven economy.
Lillian has recently become a data science instructor for multiple courses on LinkedIn Learning. She's also the author of several highly-referenced technical books by the John Wiley & Sons, Inc. publishing company—including Data Science for Dummies (2017, 2015)—and has spent the last decade training and consulting for large technical organizations in the private sector, such as IBM, BMC, Dell, and Intel, as well as government organizations, from the US Navy down to the local government level.
As the Founder of Data-Mania LLC, Lillian offers online and face-to-face training courses, as well as workshops and other educational materials in the area of big data, data science, and data analytics.
Keith McCormick is an independent data miner, trainer, speaker, and author.
Keith is skilled at explaining complex methods to new users or decision makers at many levels of technical detail. He specializes in predictive models and segmentation analysis including classification trees, neural nets, general linear model, cluster analysis, and association rules.
Adam Geitgey is a developer who is captivated by how machine learning is changing software development.
His background is in building large-scale websites and helping startups in Silicon Valley take advantage of machine learning. He has a passion for putting theory into practice—taking cutting-edge developments in machine learning and sharing them with software developers of all skill levels.