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Forecasting with Cohort-Based Models
Editor’s note: Nicolai Vicol is a speaker for ODSC West 2021. Check out his talk, “Forecasting with Cohort-Based Models,” there! Cohort-based models are an alternative to time series models when it comes to forecasting of paid subscriptions TLDR on Cohort-Based Models A company offering subscriptions (e.g.... Read more
Batteries-Included Workflow Orchestration Tool: Flyte
Editor’s note: The authors are speaking at ODSC West 2021. Be sure to check out their talk, “Deep Dive into Flyte,” there! Machine learning (ML) has been deployed in the industry for over a few decades, but the tooling to support researchers and engineers in this... Read more
GANs: A Brief Theory and Practice, and Image-to-Image Conversion with Pix2Pix
Editor’s note: Ajay is a speaker for ODSC West 2021. Be sure to check out his talk, “GANs: Theory and Practice, Image Synthesis With GANs Using TensorFlow”  to go beyond Pix2Pix there! There are prerequisites for making the most out of this blog. The reader should... Read more
Trustworthy AI: Operationalizing AI Models with Governance  – Part 2
Editor’s note: Sourav Mazumder is a speaker for ODSC West 2021. Be sure to check out his talk, “Operationalization of Models Developed and Deployed in Heterogeneous Platforms,” for more info on trustworthy AI there. Read PART 1 of the series here. AI solutions can be made out... Read more
Reinforcement Learning with PPO
Editor’s note: Oliver is a speaker for ODSC West 2021. Be sure to check out his talk, “Deep Dive into Reinforcement Learning with PPO using TF-Agents & TensorFlow 2.0,” there! Reinforcement Learning has a special place in the world of machine learning. Different from other forms... Read more
Trustworthy AI: Operationalizing AI Models with Governance  – Part 1
Editor’s note: Sourav Mazumder is a speaker for ODSC West 2021. Be sure to check out his talk, “Operationalization of Models Developed and Deployed in Heterogeneous Platforms,” for more info on trustworthy AI there. Read PART 2 of the series here. Artificial intelligence (AI) is already... Read more
Multi-Modal Approach for Robotic Manipulation Tasks
Editor’s note: Alishba Imran is a speaker for ODSC West 2021. Be sure to check out her talk, “Machine Learning and Robotics in Healthcare Devices and Rehabilitation,” there! Contact-rich manipulation tasks in unstructured environments are especially complex to train and perform for machines and robots today.... Read more
On Human-like Performance Artificial Intelligence through Causal Learning: A Demonstration Using an Atari Game
This upcoming ODSC APAC 2021 talk will provide the theoretical background and a practical demonstration of how to implement causal learning or learning of causality. Why is causality important? Prof. Judea Pearl of UCLA, the 2011 Recipient of the Turing Award (the equivalent of the Nobel... Read more
Vision Transformer and its Applications
Editor’s note: Rowel is a speaker for ODSC APAC 2021. Be sure to check out his talk, “Vision Transformer and its Applications,” there! Since the idea of using Attention in natural language processing (NLP) was introduced in 2017 , transformer-based models have dominated performance leaderboards in... Read more
Machine Learning With Graphs: Going Beyond Tabular Data
Note: The complete code for this post on machine learning with graphs can be found here.  Introduction When we think about data science and machine learning, we think about tabular data.  We have data organized in rows and columns that could be in the form of... Read more