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Machine Learning in Production with Arun

Machine Learning in Production with Arun - Master Class

Learn from industry experts about Cognixia Master Class : Machine Learning in Production with Arun

Pre-Requisite:

  • Familiarity with programming languages like Python or R is a nice to have

Lab Setup:

This session will cover the following topics:

    • Artificial Intelligence & Machine Learning Introduction
    • Who uses AI?
    • Supervised & Unsupervised Learning
    • Regression & Classification Problems
    • What makes a Machine Learning Expert?
    • What to learn to become a Machine Learning Developer?
    • Overview of Machine Learning Algorithms
    • Regression Problem Analysis
    • Mathematical modelling of Regression Model
    • Gradient Descent Algorithm
    • Use cases
    • Model Specification
    • Building simple Univariate Linear Regression Model
    • Multivariate Regression Model
    • Forming a Decision Tree
    • Components of Decision Tree
    • Mathematics of Decision Tree
    • Decision Tree Evaluation for use cases
    • Ensemble of Decision Trees – Random forest, Bagging and Boosting
    • K Means Clustering
    • Use Cases for K Means Clustering
    • Programming for K Means using Python
    • Machine Learning pipelines
    • Deploying Machine Learning models to production
    • Hyper parameter tuning
    • Accuracies, call backs and monitoring
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