Machine Learning in Production with Arun | Cognixia

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Profile Search Course

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Date

25th Apr, 2020

Time

12:30 AM - 9:30 AM EDT

Mode

Online

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:

Stable Internet Connection
Python 3.6 OR Anaconda (Python 3.7) pre-installed on machines

This session will cover the following topics:

Introduction to ML

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

Linear Regression – Case Study & Project

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 in Production

Machine Learning pipelines
Deploying Machine Learning models to production
Hyper parameter tuning
Accuracies, call backs and monitoring

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