Course curriculum

Learn live, practice and master concepts of ML, DL, and big data

    1. Build sentiment analysis model with Naïve Bayes and expose as a REST API (3 hours of classes)

    2. Build a recommendation system using Naïve Bayes (1-week assignment explained in a 1.5 hour class)

    1. Build a deep learning model for network anomaly detection (3 hours of classes)

    2. Build a recommendation a system on transactional data with deep learning (1 week assignment explained in a 1 hour class)

    1. Spark Hands on UDF (3 hours of classes)

    2. Build a recommender’s system in Spark (1 week assignment explained in 1.5 hour class)

12-WEEK LIVE COURSE

  • $720.00
  • Starts June 5, train for 3 months
  • For software engineers & entry-level data scientists
  • 2 live sessions / week (AM)

Course outcomes

After this live course, you will:

  • Master concepts of ML, DL and Big Data through practice of concepts

  • Become an expert in building machine learning and deep learning applications

  • Be able to perform a job role of ML engineer

Live learning focused on feedback and interaction in a small class

Your tech coach

Live sessions and feedback on your work will take place with:

Sayan Mukhopadhyay

Consultant in Machine Learning, Big Data, Cloud, and Cyber Security

Sayan Mukhopadhyay is a freelance solution architect for ML, DL, Big Data Application from November 2016. He has merit to be associated in organization like Credit-Suisse, Paypal, CA Technology, Crossover and successful start up like Pubmatic, Abzooba, Sulvo, Future Today. He did his masters in computational and data science from IISc Banagalore. He loves Yoga, recitation, creative writing.

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