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Home > Data Science > Certificate Program in Artificial Intelligence & Machine Learning

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Overview
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    Access to Community
    Peer to peer learning through online/live meetups and webinars/techtalks on emerging technologies and their evolution.
  • manipal overview icon
    Hands-on tool
    Apply Tensorflow, Scikit Learn library, Keras and other machine learning tools.
  • manipal overview icon
    Doubt Clearing Sessions
    Get doubt clearing session by industry experts via live webinars.
  • manipal overview icon
    Salary Packages
    The average pay for an AI professional with 2-4 years of experience is ₹15-20 lakhs per year.
  • manipal overview icon
    Free Python Program
    Free Python Program as bridge course, as it helps you clean data sets and work on them more effectively.
manipal overview icon
Access to Community
Peer to peer learning through online/live meetups and webinars/techtalks on emerging technologies and their evolution.
manipal overview icon
Hands-on tool
Apply Tensorflow, Scikit Learn library, Keras and other machine learning tools.
manipal overview icon
Doubt Clearing Sessions
Get doubt clearing session by industry experts via live webinars.
manipal overview icon
Salary Packages
The average pay for an AI professional with 2-4 years of experience is ₹15-20 lakhs per year.
manipal overview icon
Free Python Program
Free Python Program as bridge course, as it helps you clean data sets and work on them more effectively.
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Course Curriculum
1.1 Introduction to AI
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Introduction to AI
Sneak peek into the future
Deep learning
Applications of AI
Which are the Industries that are using AI?
AI, ML and DL – Compare and contrast

2.1 Machine Learning
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Introduction to ML
Supervised and Unsupervised Learning
Algorithms for Machine Learning
Classify Using Nearest Neighbours
Decision Trees
Random Forest
Naïve Bayes
Support Vector Machine (SVM) for Machine Learning Case Study - Diagnosing Breast Cancer
KNN Algorithm
Simplest Way to Explain K-Means Algorithm
Bagging and Boosting
Hierarchical Clustering
Introduction to Recommender System
Content Based Recommender System
Different Types of Recommender System
Working with Recommender System
Designing Basic Movie Recommender System

3.1 Programming with Tensorflow
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Introduction to Programming with Tensorflow
Tensorflow Installation
Intro to TensorFlow
Tensorflow Deep Dive
Computational Graph
Reinforcement Learning
HelloWorld with Tensorflow
TF graph
Computational graph
Placeholder
Function with Placeholder Input
Optimizer Demo
Linear regression
Save Load model
Linear Regression Estimator API
Classification with API
Tensorboard

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