🌐 Medium and advanced level AI training






“Welcome to Introduction to Machine Learning for Coders! taught by Jeremy Howard (Kaggle’s #1 competitor 2 years running, and founder of Enlitic). Learn the most important machine learning models, including how to create them yourself from scratch, as well as key skills in data preparation, model validation, and building data products”.


Online Training: With our AI Learning Catalog you’ll have access to customized learning assets, hands-on courses and cutting edge AI research. Instructor Led Training: With AI Experiences you’ll visit IBM labs for two days to learn and apply data science to your real-world business problem. ⚠Certification: With AI Certification you’ll learn the end-to-end AI Workflow and demonstrate that you have the skills to implement enterprise use cases”.


AI bases of specialized training

“This course is focused on the question: How do we do matrix computations with acceptable speed and acceptable accuracy? This course was taught in the University of San Francisco’s Masters of Science in Analytics program, summer 2017 (for graduate students studying to become data scientists). The course is taught in Python with Jupyter Notebooks, using libraries such as Scikit-Learn and Numpy for most lessons, as well as Numba (a library that compiles Python to C for faster performance) and PyTorch (an alternative to Numpy for the GPU) in a few lessons. Accompanying the notebooks is a playlist of lecture videos, available on YouTube”.

“I had previously created tons of SQL material, and then did nothing with it!  It will certainly benefit those who are looking to learn SQL, so if that’s you, jump right in!  Here you’ll be able to write your queries along with the videos.  If you have dual monitors, that will make getting through this course much easier, but toggling back and forth on a single monitor can work too”. (KRISTEN KEHRER).

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