The main aim of this course is to help learner build, evaluate and deploy various supervised, unsupervised Machine learning and seep learning models for data problems.
The aim of Artificial Intelligence (Al) is to create smart computers, like humans, to solve complex problems. Machine Learning (ML) is a subset of Al, through which machines learn from past use cases with the help of algorithms to predict rational outputs. In this course, learners will understand all about Machine learning algorithms and how to iterate these constantly over large data sets while analyzing patterns in the data for predictive analysis.
- Learn Machine Learning, algorithms and other statistical analysis
- Understand Artificial Intelligence in data science
- Learn about neural networks and other functions
- Understand the use of deep learning algorithms and recommendation systems
- Artificial intelligence
- Deep learning
- Feature engineering
- Machine Learning
- TensorFlow
- Convolutional neural networks
Area of Expertise:
Cloud transformation projects, Incubation of new practices, IPs account management, Service delivery, transition, Presale-solution, Service portfolio, Technical support, Consulting, Talent transformation
Area of Expertise:
Cloud transformation projects, Incubation of new practices, IPs account management, Service delivery, transition, Presale-solution, Service portfolio, Technical support, Consulting, Talent transformation
Area of Expertise:
Solution design, Project consultation, IT infrastructure and applications
Area of Expertise:
RDBMS, Data Science, Data Science
Area of Expertise:
Network Security, Cyber Security, IT Infrastructure
Area of Expertise:
Python, Java, C++, UI Development & Graphics Design
Area of Expertise:
Python, Artificial Intelligence, Data Science
Area of Expertise:
Cloud Infrastructure, Artificial Intelligence, Data Science
Area of Expertise:
UI/UX Design, Front-End Development, Python Web Development
Area of Expertise:
Microservices, REST API, Asp.net core, C#, Docker, DevOps with Azure, Angular, React, MS-SQL Server, MongoDB
Area of Expertise:
Java and Spring Boot, Microservices and RestAPI with Java, Python and Django, RestAPI with Python
Area of Expertise:
Microservices, REST API, Asp.net core, C#, Docker, DevOps with Azure, Angular, MS-SQL Server, MongoDB