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ALGORYTHM™️| Intro to Machine Learning

Info

COURSE OVERVIEW

This course offers a comprehensive introduction to machine learning principles and their practical uses. It caters to individuals with little to no prior technical knowledge who are eager to explore the world of artificial intelligence.

TARGET AUDIENCE

  • Non-technical entrepreneurs interested in launching AI ventures
  • Individuals looking to transition careers from non-technical fields
  • Students curious about the AI landscape

COURSE CONTENT:

-> Understanding the distinctions between ML, DL, and Data Science

-> Introduction to key concepts:

  • Supervised vs. Unsupervised learning
  • Logic regression and learning methodologies
  • K-means clustering
  • Decision Trees
  • Boosting and bagging techniques
  • Modeling time series data
  • Kernel Support Vector Machines (SVM)
  • Naive Bayes classification
  • Random forest algorithms

-> Current machine learning applications

-> Interactive Q&A sessions and case studies

P.S. Additional courses on various algorithm topics will be available soon; stay tuned for updates.

When

From: 3 January 2025, 19:00
To: 3 January 2025, 22:00

Where

. 00000 Copenhagen DK

Entrance

Paid entrance

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