ON DEMAND TRAINING
Hands-on beginner to expert level training in the most in-demand topics in artificial intelligence. Dozens of courses and hundreds of recordings available, and more added weekly.
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MACHINE LEARNING
DS 101: Machine Learning & Modelling in Theory & Practice
Introduction to Machine Learning and the Bias-Variance Tradeoff
Supervised Learning : Interpretability
How to do Data Science with Missing Data
Continuously Deployed Machine Learning
Data, I/O, and TensorFlow: Building a Reliable Machine Learning Data Pipeline
Missing Data in Supervised ML
Recommendation Systems in Python: Fairness in AI Using Open-source Tools & Bias-dashboards
Knowledge Graphs for Rule Induction and Reasoning
DS 102: Machine Learning & Modelling in Theory & Practice
Non-linear Supervised Machine Learning Algorithms
Evaluation Metrics in Supervised Machine Learning
Hands-on Machine Learning Explainability
Explaining and Interpreting Gradient Boosting Models in Machine Learning
Data Science and Machine Learning in the Cloud for Cloud Novices
Graph Powered Machine Learning
Data Annotation at Scale: Active and Semi-Supervised Learning in Python
How to Prepare Your Data for Supervised Machine Learning
DEEP LEARNING
PyTorch 101: Building A Model Step-by-Step
Convolutional Neural Networks Deep Dive
Deep Learning on Mobile Devices
Transformer Architecture and its Cutting Edge Advances
Natural Language Processing Case Studies for Healthcare Models
Deep Learning with TensorFlow 2 and PyTorch
Introduction To Face Processing With Computer Vision
Active Learning with PyTorch
An Introduction to Transfer Learning in NLP and HuggingFace Tools
DATA ENGINEERING & DATA ANALYTICS
Data Science in the Industry: Continuous Delivery for Machine Learning with Open-Source Tools
SQL for Data Science
Complete Python Fundamentals
Modern Data Acquisition
Streaming Decision Intelligence and Predictive Analytics with Spark 3
Using Bootstrapping for Modern Data Science
Getting Started with Pandas for Data Analysis
