DataHour: Introduction To BigQuery ML

DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

1. What is ML in BigQuery?
2. Does BigQuery support machine learning?
3. Understanding the Classical ML and BigQuery ML
4. Logistics Regression and Feature Engineering using SQL - BigQuery ML
5. What's new in BigQuery ML
6. Advantages of BigQuery ML
7. How do you use BigQuery machine learning?
8. Create ML models with BigQuery ML

Prerequisites: Basic understanding of SQL and ML Algorithms.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data Tech domain.
• Working professionals who want to transition to the Data Tech domain.
• Professionals who want to accelerate their career growth.

Speaker:

Shanthababu Pandian

AI & Data Analytics Lead at Cognizant

Shanthababu has 20+ years of experience in Information Technology (IT). Expertise in ML & Data Architect and Program Delivery including liaising with clients, gathering, eliciting requirements, architecting, and devising cost-effective solutions as per delivery frameworks and mitigating project/delivery risks. Expertise in providing insights into obtaining, describing, visualizing, and using data for making right business decision through quantitative research, advance data sourcing and data profiling for Cloud, Analytics MSBI and AIML Solutions; Adoption Skilled Data Architecting, Modeling, Data Quality, Data Governance, Data Privacy and Data Integration, Data Platform, Data analysis and Data Science program.He has done his PG Program in Artificial Intelligence & Machine Learning from Great Learning & University of Texas and is currently working as AIA Architect and Delivery with Cognizant. 

You can connect with him on Linkedin