A key balancing act in machine learning is choosing an appropriate level of model complexity: if the model is too complex, it will fit the data used to construct the model very well but generalise poorly to unseen data (overfitting).…
Top 6 Baselines For Reinforcement Learning Algorithms On Games
Games like chess, GO, and Atari have become testbeds of testing deep reinforcement learning algorithms. Companies like DeepMind and OpenAI have done a tremendous amount of research into this field and have set up gyms that can be used to…
How To Handle Hidden Technical Debt In A Machine Learning Pipeline
It is humbling to think of the number of tools, languages, techniques and applications a machine learning ecosystem has nurtured. Choosing the best fit out of these hundreds of options and then bringing them together to work seamlessly is a…
Can We Use Batch Normalisation For NLP
Batch normalisation (batch norm) is one of the most widely used deep learning techniques to stabilise and accelerate training in deep neural networks. This technique helps decrease the number of parameter updates required to achieve low training error. This reduction…
Turing Award For Pixar, Open Sourcing Of EfficientNet Lite And More: Latest in AI
Regardless of what is happening around the world, the AI community are one productive bunch, and they have something interesting to share almost every day. So, here’s a compilation of all the important releases for the ML developers from top…
What Are The Challenges Of Establishing A TinyML Ecosystem
There is a growing interest in expanding the scope of edge ML to microcontroller-class devices. And, this is where TinyML comes into the picture. As the name suggests, TinyML is intended for developing low power consuming devices that can run…
Release Of COVID-19 Datahub And A Call To Action With AI
The White House, today, in their official press release has announced the release of COVID-19 Open Research Dataset(CORD-19). This dataset was released with the combined efforts of researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative (CZI),…
What Makes ML Organisations Handle Remote Work Better
Ever since the COVID-19 outbreak, the disease has claimed the lives of more than 7,000 people, infecting over 183,000, and prompting a wave of travel restrictions, social distancing and enforcement of remote work to contain the disease from widespread. In…
Get Paid For Your Data, But How?
Data is the new oil is the sayings of the past. Data is my property, and I should get paid for it might be the catchphrase of this decade. All kinds of user data are being exploited, manipulated and minted…
How Graph Networks Are Solving Complex Physics Problems
Building high-quality simulators for physical phenomena require exceptional engineering efforts combined with expensive computational resources. This reason alone barricades many kinds of research. Even if one manages to come up with a decent method, they are often inaccurate or fail…
