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
54 Lessons20h
Machine Learning and Data Analytics
Machine Learning Concepts
Machine Learning and Deep Learning
Machine Learning and AI Correlation
Installing Python for Machine Learning
Analytics Types and Techniques
Benefits of Predictive and Descriptive Analytics
Nominal, Ordinal, Interval, and Ratio Data Metrics
Supervised Learning Algorithm
Implementing Regression
Practical Exercise
Assessment
Supervised, Unsupervised and Deep Learning
Deep Learning and Neural Network Implementation
Implementing ML Algorithm Using scikit-learn
Implementing Robotic Process Automation
