Description of topics:

• Fundamentals of Machine Learning,
• Clustering, Classification, Reinforcement Learning,
• Disk based vs. In memory Computation using Hadoop and Spark
• Distributed Machine Learning, Computation Reduction Techniques, Parallelisation
• Feature extraction, transformation, dimensionality reduction, and selection USING SPARK MLlib
• Distributed Machine Learning Pipelines, tools for constructing, evaluating, and tuning ML Pipelines
• Model Selection and Tuning of Parameters using Apache Spark.
• Demonstration and real life use cases

Trainers :

• Shekhar Verma

           Professor, Department of IT and Dean Infrastructure and Resource Planning, Indian Institute of Information Technology, Allahabad, India

• Sonali Agarwal

          Associate Professor, Department of IT, Indian Institute of Information Technology, Allahabad, India

• Abhishek Singh

           Research Scholar, Department of IT, Indian Institute of Information Technology, Allahabad, India

• Sanjay Kumar Sonbhadra

           Research Scholar, Department of IT, Indian Institute of Information Technology, Allahabad, India

Contac : 083870806172