Applied Machine Learning

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The best way to master Machine Learning is to understand the core concepts, be capable of explaining them with simple everyday examples, and be able to apply those to solving business problems. This course focuses on building up your theoretical and practical knowledge so that you can understand how to identify ML problems, choose the right algorithms for solving the problem at hand, build robust models in Python, and explain your models and communicate their results in common business language for colleagues, clients, and executives. You’ll learn from real world examples and apply your learnings to a variety of business problems.

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.

700  $ 1,000 
Level - Learnify X Webflow Template
Level : 
Beginner/Intermediate
Duration - Learnify X Webflow Template
Date : 
10 AM EST; Nov 28, Dec 1, Dec 5 and Dec 8
Lessons - Learnify X Webflow Template
Live Sessions : 
4 live courses with weekly office hours
Access - Learnify X Webflow Template
Lifetime Access
Course teacher
Dr. Kirk Borne

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 problems
Testimonials

Recommended by experts

Charlie Apigian, Ph.D. picture
Charlie Apigian, Ph.D.
Director of the Data Science Institute at Middle Tennessee State University

Truly inspiring and engaging. Dr. Borne came to Nashville to speak to our data science community and the students at the Middle Tennessee State University. His down to Earth style of connecting to all majors and professionals is unique and will motivate your organization or community to understand the importance of data science and AI and how to embrace it for their future success.

Jennifer Stirrup picture
Jennifer Stirrup
CEO & Founder at Data Relish

Kirk has mentored me virtually throughout my career, throughout his inspiring and thoughtful social media communications. I've always admired Kirk's insights and wisdom, and he is one of my role models that I aspire to be. Kirk is a true leader, and my professional learning has certainly been improved by receiving his gifts of wisdom to the larger tech community.

Arian Osman picture
Arian Osman
Chief Data Scientist at Posh Informatics

I had the pleasure of taking Scientific Databases with Dr. Borne when he was at GMU. At the time I had some experience with databases; however, he allowed me to gain a better understanding of relational databases by allowing me to do independent research in a group setting. He is partially responsible for the career I have today.

Joseph Marr, Ph.D picture
Joseph Marr, Ph.D
Lead Data Scientist at Newport News Shipbuilding

I very highly recommend and strongly endorse Kirk Borne. He is without a doubt one of the most erudite and influential data scientists I've had the pleasure to interact with. I've known Kirk since 2010, and during that time I've witnessed him generate significant insights into some of the most difficult problems facing data science today -- from retail/marketing analytics to astroinformatics.

Additional information about the course

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