Scientific Computing Best Practices For Data Scientists by Bhaskar Tripathi.Enrol now for this short course with certificate only on #5thir by #multicloud4u

Scientific Computing Best Practices For Data Scientists

By: Bhaskar

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Scientific Computing Best Practices For Data Scientists

Highlights -
1. Post-COVID Models - The Rise of Data Pipelines
2. Most important tools for Data Scientist and researchers in 2020
3. Important libraries of scientific algorithms (for Researchers)
4. Trending libraries for Data Science Engineers
5. Unrealized Importance of certain Matlab and FORTRAN libraries
6. Tools for high-performance computing applications (iPython Parallel)
7. Introduction to AutoML frameworks and Cloud ML frameworks
8. Recommendations, Free data Science Resources, handy... Show more

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Instructed by

Bhaskar Tripathi
Vice President

Mathematical Optimization, Metaheuristics, Product Specialist, MVP - Artificial Intelligence at Alibaba Cloud

I specialize in building data-intensive applications using Business Intelligence, Data Science & Machine Learning. I have played Techno-functional SME roles in various domains : - Online retail and Digital Business Transformation - Risk Management - Credit cards life cycle - Mutual Funds - Pharmaceutical sales planning Since past three years, I have changed my field of expertise in the following area - - Mathematical Optimization, Swarm Intelligence, AI - Econometric Modelling and Quantitative Methods - Quantitative Finance, Econo-Physics I am also in process of submitting my Phd Thesis and patent process using my novel methods in nature inspired AI. My objective is to create powerful trained models that help to create a living AI experience by decentralization control and self-organization. One can apply these methods in areas of Retail, Finance and Healthcare sectors.

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