Description
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. So in this webinar, we will get to learn about the impacts of this great technology called ‘Artificial Intelligence.
Speaker:
Mr. Sanjay Belulkar
Global Experience – USA, Australia, UAE, and India, 27 + Years of Global Experience
Analytics and AI| Program Delivery| Consulting| Revenue Uplift, Cost Savings, New Product Innovation using Analytics & AI
Recognized Data Analytics leader with a consistent record of bringing value using a consultative approach that combines Data Science, Artificial Intelligence, and Process Re-engineering. .Foster value differentiation that leverages Engineering and AI (MIT) credentials with a delivery framework with multi-industry expertise.
Deliver large initiatives and data-driven transformation for business benefits - considerable revenue uplift, innovation in services & products, business risk mitigation, and substantial cost savings.
Varied and large team management – Data Analysts, Data Engineers, Data Scientist, and Data Visualization teams.
Program outcomes
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Determining the terms Artificial Intelligence, Machine Learning, Deep Learning and Data Science.
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Difference between Traditional and Machine learning.
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Classification in Machine learning > Supervised, Unsupervised, Reinforcement and Semi supervised > Regression and Classification > Clustering and Association rules.
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Role of Artificial Intelligence in industry.
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Career options opportunists in Data Science and Artificial Intelligence.
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Different roles and responsibilities being a student/faculty/working professional.
Requirements
- Mobile/Laptop/Tablet with good internet connectivity.
- Seeking Career Opportunity in Artificial Intelligence.
- Interested in Artificial Intelligence.
Syllabus
- 1 Lessons
- 00:00:00 Hours
- Lecture by Expert00:00:00
Program outcomes
- Determining the terms Artificial Intelligence, Machine Learning, Deep Learning and Data Science.
- Difference between Traditional and Machine learning.
- Classification in Machine learning > Supervised, Unsupervised, Reinforcement and Semi supervised > Regression and Classification > Clustering and Association rules.
- Role of Artificial Intelligence in industry.
- Career options opportunists in Data Science and Artificial Intelligence.
- Different roles and responsibilities being a student/faculty/working professional.
About instructor
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