Machine Learning is a five-day course that is designed for technical professionals, including software engineers, data engineers, data scientists, machine learning engineers, machine learning scientists, and IT professionals.
Prerequisites: Participants should have a relatively good understanding – at undergraduate level – of calculus, linear algebra, optimization, probability, and statistics. Participants are also expected to be familiar with coding in a high-level language (ideally Python) for the hands-on sessions.
This Machine Learning training course leads the audience into a deep dive towards modern machine learning models, algorithms, tools, and applications.
The course content is split into five parts:
The course also offers – across these five parts – an overview of applications of the various machine learning approaches, in a variety of areas such as computer vision, speech recognition, speech translation, and natural language processing
Participants will be able to learn about, study and review modern aspects of machine learning; participants will also experiment with various data-oriented problems, challenges, and use-cases using Python and/or Jupyter notebooks.
On-Site Classroom: 5 days
Web delivered (Virtual): 5 days
Excellent and descriptive course material – pdf files and associated code (Jupyter notebooks) will be provided