Data Science – Emerging Paradigm

With the advent of Big Data and need to store and analyze it at faster pace, the field of Data Science and Machine Learning have become more important then ever. Reason being that now we can use this huge amount of data to learn hidden patterns for better predictions in order to identify the probability of any event occurring in future.

With Better/Enhanced Compute Power and Cloud Computing, its easier and less time taking to procure the Infra needed for running Machine Learning and Deep Learning models over the specialized systems

To be Successful in Data Science, one must be good at:

1. Basic Mathematics and Algebra
2. Linear Algebra – Vectors and Matrices
3. Statistics
   • [including Descriptive Stats, Inferential Stats and Bayesian Stats]
4. Probability
   • [including Permutations and Combinations]
5. Affinity towards Algorithms and Pseudocodes
6. Atleast One Programming Language
   • R or Python
7. Presentations and Reporting Tools
   • Tableau, PowerBI, etc.

In future blog post, we will discuss on the type of Machine Learning techniques:
1. Supervised
2. Unsupervised
3. Semi-Supervised
4. Reinforcement Learning

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