Machine learning is the science (and art) of getting computers to act without being explicitly programmed. In recent years, machine learning has been the most prevalent tool that has allowed us to be able to design self-driving cars, practical speech recognition, effective web search, predict protein unfolding, and vastly improve understanding of the human genome. In this machine learning training, you will learn about the most effective machine learning techniques, and gain practice tinkering and implementing them yourself. More importantly, not only you’ll learn about the theoretical foundation of learning, but also gain the practical hands-on experience needed to quickly and powerfully apply these techniques to new real-world problems.
Training provider
UBT
Duration of training
4 Weeks
Topic of the training
Introduction to Machine Learning Systems High level introduction to the machine learning world Data Data manipulation with Pandas Data visualization with Matplotlib Data evaluation and feature selection Model (With case study: real world examples and data) Problem definition Model creation Supervised Classification Classical machine learning algorithms Neural networks Loss function Evaluation metric Optimizer Regression Unsupervised Model evaluation and tuning K-fold cross validation Selecting performance evaluation metrics Hyperparameter tuning Deployment Model conversion Model deployment
Total number of training hours
24 hours
Recurrence of training
3 Times per year
Min. number of participants for starting course
12
Certification upon ending
Certificate
Free / Paid
130€
Opening date/s for registration:
1 December 2022
Accessibility of venue for people with disabilities
Yes
Certification
Certification
Languages
ALB
Duration
Weeks
Level
Intermediary
Topic
Other
Training Provider
UBT
Training Type
Blended
Trainer
TBD
Contact(s) for registrations/questions