In this episode I talk about how YOU can get started off in the field of Machine Learning without having a Computer Science or IT background. I am assuming the fact that you are familiar with data structures, algorithms because you have experi
In this episode, I talk about a few factors that are going to be necessary if you want to stand out from your competition in Machine Learning. I talk about courses, projects, the marketplace as well as my own experiences that will help you. I
In this episode, we explore the question of computational limits using the Turing Machine Argument . Here, we will learn how mathematicians have approached the problem of characterizing the computational limits of computing machines by using ma
In this episode, I talk about a new idea known as the Ramanujan Machine. Ramanujan Machine was made to mimic the methods using which the famous Indian Mathematician Srinivasa Ramanujan would come up with solutions to Mathematical problems using
In this episode, I talk about Meta- Learning in details. Meta Learning aims towards basically Learning how to Learn I have also discussed the various steps involved in Meta-Learning as well as the types of Meta-Learning Algorithms that are in
In this episode, I talk about a concept which is known as Artificial Curiosity. Curiosity is framed as the interest of an agent to learn unknown regularities. The idea is to reward the system if it finds something unexpected. On the other han
In this episode, I talk about Neuralink in depth. The discussions range from Brain Machine Interface (BMI) to the technical details of Neuralink and is on the basis of Elon Musk's July, 2019 presentation on Neuralink and its paper. I have als
This is an introduction trailer to AI Times. Covers what AI Times is all about as well as it Includes the content that will be discussed throughout the podcast.