×

Python, Machine learning

To have an appreciation for and understanding of both the achievements of AI and the theory underlying those achievements. To have an appreciation for the engineering issues underlying the design of AI systems.

 

Topics Name
Online Session
Online Session
Introduction to Machine learning

undefined

Supervised learning

undefined

Unsupervised learning

undefined

Reinforcement learning Scikit-learn API, Linear regression and Case studies

undefined

Introduction to Deep Learning

undefined

Use cases and application

undefined

Implications of deep learning and mobility

undefined

ANN with hidden layers

undefined

Activation function options

undefined

Linear versus non-linear functions

undefined

Available libraries to work with(TensorFlow, Keras, TFLearn)

undefined

CNN concepts

undefined

Image classification using CNN

undefined

Introduction to Neural Networks

undefined

Multi-layered Neural networks

undefined

Training of neural networks

undefined

DNN: Deep Neural Networks

undefined

CNN: Convolutional Neural Networks

undefined

RNN: Recurrent Neural Networks

undefined

Introduction to AI

undefined

Data Processing and feature engineering

undefined

Natural language processing

undefined

Popular search algorithms

undefined

Fuzzy logic system

undefined

Pc or Laptop

Latest Course

R Programming
Trending Courses
PySpark
Trending Courses
Ruby on Rails
Snow
ChatBot

Hello! How can I help you?