Supervised Learning 3: Evaluation Metrics in Supervised Machine Learning Supervised Learning 2: How to Prepare your Data for Supervised Machine Learning Machine Learning Foundations: Linear Algebra Supervised Learning 1: Introduction to Machine Learning and the Bias-Variance Tradeoff Deep Learning (with TensorFlow 2 & PyTorch) Knowledge Graphs for Rule Induction and Reasoning Using Bootstrapping for Modern Data Science Hands-on Machine Learning Explainability Explaining and Interpreting Gradient Boosting Models in Machine Learning Transformer Architecture and its Cutting Edge Advances Pre-order available now! Building a Production-level Data Pipeline Using Kedro Data Science and Machine Learning in the Cloud for Cloud Novices Getting Started with Pandas for Data Analysis Streaming Decision Intelligence and Predictive Analytics with Spark 3 Introduction To Face Processing With Computer Vision Supervised Learning 5: Missing Data in Supervised ML SQL for Data Science Fairness in AI using Open-source Tools & Bias-dashboards Pre-order available now! Using Federated Learning for Data-privacy in AI Models Convolutional Neural Networks Deep Dive Data Annotation at Scale: Active and Semi-Supervised Learning in Python Data Science in the Industry: Continuous Delivery for Machine Learning with Open-Source Tools Natural Language Processing Case-studies for Healthcare Models NLP - ODSC East 2020 Data, I/O, and TensorFlow: Building a Reliable Machine Learning Data Pipeline Machine Learning - ODSC East 2020 Modern Data Acquisition How to do Data Science with Missing Data Research Frontiers & Kickstarter - ODSC Europe 2020 Continuously Deployed Machine Learning An Introduction to Transfer Learning in NLP and HuggingFace Tools Data Storytelling for Business DS 102: Machine Learning & Modelling in Theory & Practice DS 101: Machine Learning & Modelling in Theory & Practice Active Learning with PyTorch Deep Learning on Mobile Devices Recommendation Systems in Python Graph Powered Machine Learning Pre-order available now! Network Analysis Made Simple View all courses
ODSC East 2020: Audio Event Detection via Deep Learning in Python ODSC West 2020: Bayesian Statistics Made Simple ODSC Europe 2020: Introduction to Linear Algebra for Data Science and Machine Learning With Python Painting with Data: Introduction to d3.js AiX Healthcare A Hands-On Tutorial for Training Interpretable Variational Autoencoders Using siVAE Build an ML pipeline for BERT models with TensorFlow Extended – An end-to-end Tutorial ODSC East 2020: Audio Event Detection via Deep Learning in Python Fast Data Access in R and Python with Apache Arrow Applied Deep Learning: Building a Chess Object Detection Model with PyTorch ODSC Europe 2020: What Do I See in This Data? Visual Tools to Enhance Data Understanding ODSC West 2020: Building Content Embedding with Self Supervised Learning