• 15 DEC

    Deep Learning

    The Field of Artificial Intelligence is essentially when machines can do tasks that typically require human intelligence. It encompasses machine learning, where machines can learn by experience and acquire skills without human involvement. Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data.
  • 13 DEC

    Machine Learning

    “Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI (Artificial Intelligence) will transform in the next several years.”
  • 10 DEC

    Competitive Programming In Python

    The first thing we will teach you in CTL is Competitive Programming. Well this is no way directly connected to Machine Learning knowledge, but the fact is if you don’t have Algorithmic design skills, you just can’t learn any technology.
  • 9 DEC

    Linear Algebra

    “I see a pattern, but my imagination cannot picture the maker of that pattern. I see a clock, but I cannot envision the clockmaker. The human mind is unable to conceive of the four dimensions, so how can it conceive of a God, before whom a thousand years and a thousand dimensions are as one? -Albert Einstein
  • 05 DEC

    Probability Information Theory and Machine Learning.

    Throughout history, humans not only evolved but also our way to represent Information.The way we communicate today is changed significantly.In order to make a machine understand the Information, we must know how to describe Information with a Mathematical approach.The significance of Information Theory: In a Language translator, there are 2 major components: 1. Encoder: Takes input in a language and converts it into a vector. 2. Decoder: Take vector as input and translates it into a target language. In order to follow semantic and syntactic rules while translation it must keep track of objects and their Relationship in the input signal.