Applied Machine Learning

Learn how to effectively implement machine learning solutions in real-world scenarios, supporting the entire lifecycle - from problem conception and feature engineering.

Kirk Borne image

Meet your instructor Kirk Borne

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.

Week 1

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.

Week 2

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).

Week 3

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.

Week 4

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.

A learning approach that aligns with your company values.


Bite-sized daily lessons that you can easily fit into your schedule. Each day, we release new lessons no longer than 15 minutes. Our lessons are carefully curated to ensure that they're both engaging and informative, allowing you to learn something new every day, and at your own pace.


Collaborate with other engineers from around the world, providing you with a unique opportunity to learn from others and build your professional network.


Our live learning sessions are designed to be interactive and engaging, giving you the opportunity to ask questions and interact with subject-matter experts.


Learn by solving real-world problems. Our courses are designed to get rid of the fluff and provide you with the most relevant information to help you apply your learning.

Trusted by teams from global companies

Frequently asked questions

Are all sessions live?

Yes, all sessions during the cohort will be live with the instructor. However, we will record each session and make them available for everyone in the cohort.

What is the time commitment?

Our courses typically have 2-4 modules, with each module lasting for approximately 2h per week which you can block out on your calendar during your work day. You also get some take home projects that you can complete at your own pace.

Do I earn a certificate for this course?

Of course! Once you’ve completed the course modules, you will get a certificate of completion that you can showcase to the world.

What is included in a LearnCrunch membership?

With your LearnCrunch yearly membership, you get access to our live instructor-led cohorts, our catalog of self-guided courses, unlimited real-world projects to learn from and master new skills, exclusive live events for members and a vetted global community of experts and peers.

How much does a LearnCrunch membership cost?

An individual LearnCrunch membership costs $1,000 USD per year. If your company is interested in purchasing multiple seats, please contact

Can I expense this course?

Yes. Most LearnCrunch members have expensed this course through their Learning & Development budget, similar to how you expense conferences. You can use this email template to request expense approval from your manager.

I have more questions. Get in touch with us!

If you have more questions, email us at

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Victor Chima

Co-Founder at LearnCrunch

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