Chamanth MVS
I’m a Data Science professional who loves solving tough problems and using technology to turn data into meaningful insights.
I’m a Data Science professional who loves solving tough problems and using technology to turn data into meaningful insights.
I have been working in the field of Data Science, with a focus on Deep Learning and Generative AI. I also enjoy solving logical, scenario-based problems using Python. In addition to my technical skills, I have played a key role in client engagements—negotiating project timelines and requirements, providing detailed explanations on the limitations of the technology, and suggesting workarounds where necessary.
I enjoy learning about new and emerging technologies, as I’m a technology enthusiast. I love writing, which is why I’ve penned over 75 articles on Medium, covering data science and Python concepts. I follow the 'HOW, WHAT, and WHY' approach in my learning, and this is reflected in my writings. I believe that learning is a lifelong process, and I resonate with Socrates' quote: The only true wisdom is in knowing 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
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