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LINEAR REGRESSION WITH Notebook and PAI

By: Bhaskar

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LINEAR REGRESSION WITH Notebook and PAI

About the course

Covers aspects and details with step by step hands-on guidance on how to start with Alibaba cloud PAI Studio, by using Linear regression techniques?

No Of Modules

This course has two modules:-

1. Basics to PAI studio using visual modelling with multiple basic to understand linear regression example.

2. A little Advance implementation using different notebook options inside PAI as well as well known industry acknowledged notebook tool.

3. Also cover the engineering aspects of driving value out of your experiments.

Speakers

1. Bhaskar Tripathi (Alibaba Cloud Data Science MVP)

2. Anjani Kumar(Alibaba Cloud Big Data MVP)

Certificates

1. Level 1 on completing module 2 by multicloud4u.

2. Level 2 directly by Alibaba Cloud Academy by using the link below or clicking on the faq icon below the video panel from any of the module.

https://edu.alibabacloud.com/clouder/exam/intro/383

Prerequisites

Setup  free account and  VM

https://www.5thir.com/dynaevent.aspx?eid=a90fcdd75b8a4a6397b6fa774caee8freevm#start

 

Alibaba cloud Apsara data stack

https://www.5thir.com/dynaevent.aspx?eid=e3ab553caccb4b27b3f95d8bf361c4ASAK#start

Big Data Stack

https://www.5thir.com/dynaevent.aspx?eid=446AC8D73A9C4035A2F6BDD002B40BDB#start

In Association

 

Certificate Samples Level2 by Alibaba Cloud Academy

 

Certificate Samples Level1 After the second module

 

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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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