Chamanth MVS
I'm a Data Science Professional with interest spanning over Python and Deep Learning
I'm a Data Science Professional with interest spanning over Python and Deep Learning
I have been working in the field of Data science, predominantly in Deep learning and Generative AI. I also enjoy solving logical scenario based problems using python. Apart from technical skills, I have been instrumental in client engagements (negotiating with clients---project timelines, requirements and giving detailed explanations on limitations of the technology and suggesting a workaround).
I enjoy learning about new and emerging technologies since I'm a technology geek. I love writing and penned down around 65+ articles on medium on data science and python concepts. I follow HOW, WHAT and WHY approach in learning and that reflects in my writings. I believe that Learning is lifetime process and acknowledges the quote by Socrates--The true wisdom lies in knowing that you know nothing
These are my few articles on Deep Learning and Python
Backpropagation is the base behind 'how all the algorithms in machine learning and deep learning are implemented'--solving an optimization problem
Backpropagation in RNN happens across timesteps. There would be a dependency on one timestep to the next timestep, and a lot of recursive computations happen
The difference between dynamic-typed and statically typed language is that the references to the objects (variables) will not be constrained by data types
If you are interested in discussing with me, Please fill the form below. I will reach out to you at the earliest.