In one of my previous posts, I have explained what Imitation Learning is. You can check out the post over here. Although Imitation Learning(IL) and Reinforcement Learning(RL) look more or less the same, there are some well-defined differences. In this blog post, I will take some time and effort to talk about the differences between …
Imitation Learning and Reinforcement Learning, What’s the Difference? Read More »
Artificial Intelligence is a rapidly growing field, and even more so in the past few years. And just like any other field, Artificial Intelligence also has influential people- people that other people want to listen to, and follow. In this blog post, I will talk about the 5 most influential people in the field of …
5 Most Influential People in the Field of Artificial Intelligence Read More »
It doesn’t really matter whether it’s a podcast on Artificial Intelligence, a top-rated Machine Learning conference, or a Community Discussion on Deep Learning. Today everyone in the field of Artificial Intelligence and Machine Learning is talking about Self Supervised Learning. Everything ranging from advancements in the field to its application and results is a hot …
What is Self Supervised Learning and Why is everyone talking about it? Read More »
Machine Learning, and especially Deep Learning is moving at a breakthrough pace. Every now and then, there is an advancement in the field much quicker than it was originally anticipated. There is also a lot of mobilization of human resources from other fields such as Software Developers, Statisticians, Mathematicians, and other fields into the field …
11 Twitter Accounts to follow for latest advancements in Deep Learning Read More »
In one of my recent posts, I talked about pretext training, in which the Machine Learning model is trained to perform an upstream task prior to being trained on the actual, downstream task. This helps in reducing the amount of labeled data required to train a model and is used widely for Self Supervised Learning. …
Pretext Training Tasks for Self Supervised Learning in Computer Vision Read More »
Optiver is a Market Maker and a trading firm that deals in listed derivatives, cash equities, Exchange-Traded Funds(ETFs), bonds, and Foreign Exchange(ForEx). Optiver has hosted a challenge inviting Data Enthusiasts from all over the world to forecast the Volatility of stocks. This challenge is being hosted in partnership with Kaggle, the world’s leading community for …
Market Maker Optiver launches Volatility Forecasting Challenge with Kaggle Read More »
In recent years there has been a significant rise in interest in Self-Supervised Learning(SSL). The main reason behind this is its potential to advance Machine Learning. Supervised Learning, since its inception, has suffered from the lack of availability of annotated data and the huge costs associated with annotating new data. It is exactly this drawback …
Imitation Learning is not a recent advancement in Machine Learning, it’s been here for quite a while now. One of the first uses of imitation learning dates back to 1989 when it was used to train ALVINN- one of the first self-driving cars in the world. However, for whatever reason, there isn’t much of a …
Data Augmentation is a regularization technique that increases the size of the training dataset by adding “artificial” data to the dataset. Data Augmentation serves the purpose of making the model more robust by providing more data and hence reducing overfitting. This artificial data is generated using the original data such that it is indistinguishable from …
How to use Albumentations for Data Augmentation- Part I Read More »
The field of Artificial Intelligence, and particularly Computer Vision has witnessed a lot of advances in recent years. Prior computer vision fields such as image classification have seen appreciable improvements in classification accuracy. Whereas various new fields and use cases have never ceased to amaze us. New neural network architectures, use cases, applications, and training …