ALGORYTHM™️| Intro to Machine Learning

Predicting the future is not magic, it's artificial intelligence. – Dave Waters

By Kat Usop, MSHI

Select date and time

Wednesday, November 6 · 7 - 10pm EST

Location

Algorythm Online Classroom

. . Toronto, ON 00000 Canada

Refund Policy

Refunds up to 7 days before event
Eventbrite's fee is nonrefundable.

About this event

WHAT IT THIS ALGORYTHM COURSE ABOUT?

This course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background, yet are committed to venture into the AI space.

WHO IS THIS COURSE FOR?

  • (Non-tech) Entrepreneurs who want to build AI startups
  • Career switchers from non-tech background
  • Students exploring AI space

COURSE AGENDA:

-> Difference between ML, DL and Data Science

-> Introduction of the following concepts:

  • Supervised learning vs Unsupervised learning
  • Learning and logic regression
  • K-means clustering
  • Decision Tree
  • Boosting and bagging algorithm
  • Time series modeling
  • Kernel SVM
  • Naive Bayes
  • Random forest classifiers

-> Existing applications of ML

-> Live Q&A and Case Discussions

P.S More Algorythm courses coming up on each one of these concepts, follow for updates.

    Welcome to Algorythm Academy, the ultimate online roundtable community platform designed to amplify your voice, foster meaningful discussions, and connect you with like-minded individuals on pressing topics like AI, Data Science, Quantum Computing, and the future of humanity with advanced technologies.

    Algorythm is where you can learn the latest in artificial intelligence technology, algorithms, and data science. Join us and become a master of the machines!

    🤖 Learn more: www.algorythmacademy.com

    Organized by

    Hi! I am a nomad Eng'r in Health & AI space (NYIT, ex-Duke, ex-Mizzou). I create & share knowledge from real-world experiences. I build sustainable ventures while traveling long-term. PS If min. seats aint filled, 1:1 virtual lecture session is coordinated, sweet deal!