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Introducing ScaleDown: An Open-Source Neural Network Optimization Framework for TinyML Devices 
Editor’s Note: Archana is a speaker for ODSC APAC 2021. Check out her talk, “Scaled-Down Package: Open-Source Neural Network Optimisation Framework for TinyML Devices,” there! Over the last decade, the popularity of smart connected devices has led to an exponential growth of Internet of Things (IoT)... Read more
How to Get Started with Deep Reinforcement Learning on a Variety of Use Cases
Editor’s note: Maggie is a speaker for ODSC APAC 2021. Check out her talk, “How to Get Started With Deep Reinforcement Learning on a Variety of Use Cases?” there! I, like many others, first heard of reinforcement learning (RL) in the context of games. I watched... Read more
How to Establish a Successful, Sustainable, and Scalable Data Science and AI Capability within an Organization
Editor’s note: Alex is a speaker for ODSC APAC 2021. Check out his talk, “How to Establish a Successful, Sustainable and Scalable Data Science and AI Capability within an Organisation,” there! With so much interest in data science, with all the promises of AI, and with... 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
Beautiful Graph Visualization with nxviz
When working with network (graph) data, being able to visualize it is immensely valuable. When a graph visualization is done well, it can help you provide immediate visual insights based on the structure of a graph. While NetworkX provides a built-in graph visualization library, other tools... 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
Advances in Machine Learning for Software Engineering
Editor’s note: Aditya is a speaker for ODSC APAC 2021. Check out his talk, “Machine Learning for Software Engineering,” there! Today, society critically depends on software. The prevailing Covid-19 situation has accelerated the transition to a software-driven world even further. As the number of software applications... Read more
How to Improve Your Data Science Skills
Hui Xiang Chua is a speaker for ODSC APAC 2021. Check out her talk, “Journey from Data Analyst to (Citizen) Data scientist,” there to learn more about important data science skills. Cultivating a data-driven mindset is the first key step to becoming better at data science... Read more
Using Text Features to Predict the Great Stock Market Crash of 1929
Predicting financial crises is notoriously difficult. This is primarily a consequence of the infrequency of such events and the instability of relationships between financial variables. However, it is also related to the contagious nature of financial crises: if one bank expects another to liquidate its holdings... Read more
Why Learn Python for Data Processing
Python is one of the most popular languages in the world. It’s used in a lot of different fields, like web services, automation, data science, managing computer infrastructure, and artificial intelligence and machine learning. Its readable and concise syntax makes it a great option for teaching... Read more