About This Course
Artificial Intelligence (AI) is an approach adopted by machine learning (ML) and Python and is one of the most popular languages used to implement machine learning. This learning path includes detailed information on the implementation of machine learning and deep learning algorithms using Python and various other related frameworks. This course also covers the concept of robotic process automation (RPA) implementation using Python.
Learning Objectives
Basics of Deep Learning techniques
Understanding artificial neural networks
Training a neural network using the training data
Convolutional neural networks and its applications
TensorFlow and Tensor processing units
Supervised and unsupervised learning
Machine Learning using Python
Robotic Process Automation
Applications of Deep Learning in image recognition, NLP, etc.
Target Audience
- Professionals working in the domains of analytics, Data Science, e-commerce, search engine, etc.
- Software professionals and new graduates seeking a career change.
Curriculum
44 Lessons50h
Understanding AI
Machine Learning Concepts
How do machine builds the logic
Machine Goal00:00:00
The World of Gradient Descent
Derivative of a Function
Linear Regression algorithm
Working with machines
Can machine have vision?
Machine with vision
Natural Language
Learning Complex Games
Using Tensorflow
Simplify ML using Keras
Deep Learning
Convolutional Neural Networks
