Applied Machine Learning
Learn from a world-class industry expert
Dr. Kirk Borne is the Chief Science Officer at AI startup DataPrime and the founder of Data Leadership Group LLC. He is a career data professional, data science leader, and research astrophysicist. From 2015 to 2021, he was Principal Data Scientist, Data Science Fellow, and Executive Advisor at Booz Allen Hamilton.
Previously, Kirk was professor of Astrophysics and Computational Science at George Mason University. Before that, he spent 20 years supporting data systems activities for NASA space science missions, including the Hubble Space Telescope.
He has been named by many media outlets as a top worldwide influencer on social media, promoting big data analytics, data science, machine learning, AI, data & AI strategy, and data literacy for all.
He has spoken at hundreds of events worldwide, for which he has been the conference keynote speaker at dozens of those, including TEDx, Global AI Summit (online), Marketing Analytics & Data Science (San Francisco), Big Data London, and more.
Prerequisites:
Understanding of the different types of machine learning algorithms (unsupervised: clustering; and supervised: classification).This course is for:
Intermediate learners of machine learning and data analytics.
What you will be able to do after this course:
Participants will be able to demonstrate expertise in deploying both common and uncommon applications of ML concepts, techniques, and algorithms to a variety of business problemsWhat is unique about this course?
Recommended by experts
Dr. Kirk Borne course was greatand the choice of the instructor was spot on. I have been following Dr.Kirk Borne for a long time and he is a legend, with a great personality.
During the Applied Machine Learning course, our instructor brought up a money laundering use case which is very useful since it's a critical part of my daily work. I also enjoyed joining the office hours to get feedback on the different assigments I had to work on.
Good to have a TA and not just the instructor. Loved the examples of how to apply Machine Learning in real life
Trusted by learners from top companies
Additional information about the course
Session 1: Meet your instructor Kirk
We're excited to kick-off this cohort of the Applied Machine Learning Course with Dr. Kirk Borne.
This is an introductory session where you will get a chance to meet your instructor Dr. Kirk Borne, connect with other course participants from different companies, get important information about the cohort and ask questions.
Session 2: Modeling and Machine Learning Concepts
Focus on the basics, foundations, and concepts that are essential for progressing on the journey of expanding one’s expertise in ML techniques, algorithms, and applications, including supervised vs. unsupervised learning, feedback and optimization loops, accuracy vs. precision, benefits of high-variety data, bias and ethical modeling, types of analytics outcomes, and examples of successes and failures in the field.
Session 3: Common Business Applications of ML Algorithms
Focus on specific applications of ML algorithms to common business problems, including customer segmentation (personalization and recommender engines), outlier detection (anomaly, fraud, and surprise discovery), predictive analytics (forecasting, predictive maintenance), and association analysis (link discovery, knowledge graphs, marketing attribution).
Session 4: Uncommon (Atypical) Applications of Typical ML Algorithms
Focus on solving a business problem in an unexpected way with an ML algorithm or technique that is more commonly used for a very different problem or in a very different application domain. A common thread throughout this module is Forecasting 2.0 - going beyond traditional forecasting modeling techniques, into the realm of early warning detection within your business applications through precursor analytics.
Session 5: Analytics Mastery in Business and Beyond
Focus on the steps to analytics mastery, including matching the right algorithm and technique to the right business problem, data storytelling, decision science, the internet of things (IoT, which will produce massive quantities of real-time streaming data in the coming decade, generating a multi-trillion dollar market, requiring a data-literate analytics-equipped IoT-savvy workforce), and the soft skills that must accompany the hard skills for long-term career success and advancement.
Session 6: Meet your Teaching Assistant Raphael Taiwo Alabi, PhD (Lead Machine Engineer at DocuSign)
Come meet Raphael (Lead Machine Engineer at DocuSign) to ask him any questions related to the course.
Session 7: ML Use Case Presentation from DocuSign
Raphael will walk you through a ML Use Case Presentation from DocuSign.
Session 8: Meet your Teaching Assistant Raphael Taiwo Alabi, PhD (Lead Machine Engineer at DocuSign)
Come meet Raphael (Lead Machine Engineer at DocuSign) to ask him any questions related to the course.
Frequently asked questions
