The Conference for Machine Learning Innovation

Back to Basics: Approaches to Machine Learning

Shorttalk
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Register until September 10:
✓ Raspberry Pi or C64 Mini for free
✓Save up to 313 €
✓10 % Team Discount
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Register until December 12:
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✓Raspberry Pi or C64 Mini for free
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Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
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Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

In the contemporary world of learning algorithms, along with the aggregate domains plying Machine Learning the complexity of the models itself is swelling. Thus it is important to approach Machine Learning in a conceptual way and in this talk I will present an informal taxonomy of the Machine Learning algorithms, majorly grouped on the different mathematical abstractions.

I will cover Logical Models with tree based or rule based concepts, Geometric Models including linear and distance based approaches, and Probabilistic Models. I will go over the fundamentals of each type of model and discuss their positives, limitations and use cases along-with a very simple hands-on example. The talk will conclude with some pointers on how to explore the data and choose a model to make the learning more efficient.

This talk aims to introduce different categories of Machine Learning models from mathematical point of view and encourage budding ML enthusiasts to reflect on the implications of each corresponding to their domain. By better understanding these types of models attendees will be empowered to design intelligent solutions.

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

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