Lesson series
Foundations of AI: Hero Methods
At Kado, we refer to Advanced Computational Methods like Machine Learning, Optimization, Simulation and so on as "Hero Methods". We introduce them in this free module & review their characteristics alongside basic concepts you'll need for Design Thinking in Hero Methods.
Format
Online
Course
Type
Self-paced
Starts at
Your convenience
Format
Discussion-based
Content Duration
36 minutes
Price
FREE
What are Hero Methods?
While Machine Learning is amazing, it's not the only method to solve problems in AI.
We introduce you to the full palette and how to apply them.
We introduce you to the full palette and how to apply them.
Complex in nature
Problems solved by Hero Methods - Hero Problems - are not effectively modelled by simple rules, as you find in most software.
List of Methods
Machine Learning, Optimization, Simulation, Knowledge Representation, Search/Planning, Dealing with Uncertainty, High Performance Computing.
Brute Force is infeasible
To solve complex problems, we need concise reliable methods that abstract & generalize the underlying patterns with efficient compute that can process formal representations.
"Good enough" is good enough
Complex problems may not have exact answers. The process to solve them is beset with uncertainty and may yield different results every time. Approximate, "rule of thumb" solutions are sufficient.
Not the usual Machine Learning course!
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Design Thinking
Ponder different ways in which a top-level problem can be structured, and solutions woven together in an architecture
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Hands-free
No hands-on exercises, Jupyter Notebooks or datasets here
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Discussion-based
Open-ended questions, discussions and deep thinking are best for learning, and are our primary method
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Peer Learning
Interacting with peers and learning from their experience is better than exams, quizzes or certificates.
Meet the INSTRUCTOR
Jagannath Rajagopal
I teach Design Thinking & Architecture for a whole universe of methods of which Machine Learning is but a part. Between high level use case content and hands-on coding, there exists a knowledge gap today. At Kado, my team of overachievers, and I have melted our brains and put down everything we know about Hero Methods towards a knowledge offering that is different from the usual run-of-the-mill Machine Learning course. Our goal is to bridge this gap.
I've wrestled Tensorflow to the ground, learned Python from scratch in the process, crashed and burned in 2 start-ups, launched a successful YouTube channel, failed at selling Scuba gear, taught R to many, and succeeded several times in implementing large scale Supply Chain Planning systems for big companies.
I've wrestled Tensorflow to the ground, learned Python from scratch in the process, crashed and burned in 2 start-ups, launched a successful YouTube channel, failed at selling Scuba gear, taught R to many, and succeeded several times in implementing large scale Supply Chain Planning systems for big companies.
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