Well. Finally got around to putting this old website together. Neat thing about it - powered by Jekyll and I can use Markdown to author my posts. It actually is a lot easier than I thought it was going to be.
Deep learning
It is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. Deep learning allows machines to solve complex problems even when using a data set that is very diverse, unstructured and inter-connected.
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Competitive Coding
C++ is the most preferred language for competitive programming mainly because of its STL. Short for Standard Template Library, the STL is a collection of C++ templates to help programmers quickly tackle basic data structures and functions such as lists, stacks, arrays, etc.
How to train your Data
How to train a Machine Learning model & achieve high accuracy
The training dataset is used to prepare a model, to train it. We pretend the test dataset is new data where the output values are withheld from the algorithm. We gather predictions from the trained model on the inputs from the test dataset and compare them to the withheld output values of the test set.
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DATA SCIENCE QUEST
Introduction to the realm of Machine Learning
You can write cool Python codes for representing your learning model with the right ML Algorith,WIKI. Machine learning algorithms find natural patterns in data that generate insight and help you make better decisions and predictions. They are used every day to make critical decisions in medical diagnosis, stock trading, energy load forecasting, and more. There are many courses available now that will take you from having no knowledge of machine learning to being able to understand and implement the ML algorithms yourself. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and...
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