...
Full Bio
Today's Technology-Data Science
289 days ago
How to build effective machine learning models?
289 days ago
Why Robotic Process Automation Is Good For Your Business?
289 days ago
IoT-Advantages, Disadvantages, and Future
290 days ago
Look Artificial Intelligence from a career perspective
290 days ago
Every Programmer should strive for reading these 5 books
579738 views
Why you should not become a Programmer or not learn Programming Language?
239535 views
See the Salaries if you are willing to get a Job in Programming Languages without a degree?
152271 views
Have a look of some Top Programming Languages used in PubG
142530 views
Highest Paid Programming Languages With Highest Market Demand
137349 views
How about learning some Artificial Intelligence courses for higher earning in the future?
- In this course, you will learn how to:
- Build simple machine learning models with Azure Machine Learning;
- Use Python and Microsoft cognitive services to work with text, speech, images, and video;
- Use the Microsoft Bot Framework to implement conversational bots.
- What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?
- They are all complex real-world problems being solved with applications of intelligence (AI).
- This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
- You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.
- Hands-on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.
- Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
- Building intelligent agents (search, games, logic, constraint satisfaction problems)
- Machine Learning algorithms
- Solid understanding of the guiding principles of AI.
- Apply concepts of machine learning to real-life problems and applications.
- Design and harness the power of Neural Networks.
- Broad applications of AI in fields of robotics, vision and physical simulation.
- Understand what is AI, its applications and use cases and how it is transforming our lives
- Explain terms like Machine Learning, Deep Learning, and Neural Networks
- Describe several issues and ethical concerns surrounding AI
- Articulate advice from experts about learning and starting a career in AI