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Plan Ahead With the Preliminary ODSC West 2021 Schedule
We couldn’t be more excited to announce the release of our Preliminary Schedule for the ODSC West Hybrid Conference 2021. We are still in the process of building out our full schedule, but you can get a sneak peek at our currently confirmed speakers and sessions.... 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
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
When to Use Survival Analysis: Applications in Industry Data Science
Author’s note: This article on survival analysis was originally published on The Crosstab Kite. Survival analysis should be a standard part of every data scientist’s tool belt. Unless you work in clinical research, though, there’s a good chance it’s not part of yours.1 Sometimes data scientists... Read more
Towards More Energy Efficient Machine Learning Models
Editor’s note: Olaf de Leeuw is a speaker for ODSC West 2021. Be sure to check out his talk, “Towards More Energy-Efficient Neural Networks? Use Your Brain!” there! In recent years, machine learning models have evolved rapidly. Machine learning is a popular field and data scientists... Read more
Tuning Hyperparameters with Reproducible Experiments
Editor’s note: Milecia McGregor is a speaker for ODSC West 2021. Be sure to check out her talk, “Tuning Hyperparameters with Reproducible Experiments,” there! When you’re starting to build a new machine learning model and you’re deciding on the model architecture, there are a number of... Read more