Artificial intelligence course in Mumbai-BIA Classroom

1. Artificial Intelligence

2. Artificial Intelligence course in Mumbai

3. What is Artificial Intelligence? • Artificial intelligence refers to the simulation of human intelligence in machines. • The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. • AI is being used across different industries including finance and healthcare. • The goals of artificial intelligence include learning, reasoning, and perception.

4. Artificial Intelligence Technique • Heuristics - A Heuristic is a technique to solve a problem faster than classic methods, or to find an approximate solution when classic methods cannot • Support Vector Machines - Support Vector Machines are based on the concept of decision planes that define decision boundaries.  • Artificial Neural Networks - Artificial neural networks belong to a group of information-processing techniques which can be used to find knowledge, patterns or models from a large amount of data.  • Markov Decision Process - Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. • Natural Language Processing - Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English

5. Best Languages for Artificial Intelligence field • Python - Python is considered to be in the first place in the list of all AI development languages due to the simplicity.  • R – R can easily produce well-designed publication-quality plot, including mathematical symbols and formulae where needed. • Lisp – Lisp is one of the oldest and the most suited languages for the development in AI. • Prolog – This language stays alongside Lisp when we talk about development in AI field.  • Java - Java can also be considered as a good choice for AI development.

6. Artificial Intelligence Application • Automated customer support • Personalized shopping experience • Healthcare • Finance • Smart cars and drones • Travel and navigation • Social media • Smart home devices • Creative arts • Security and surveillance

7. Responsibilities of a Artificial Intelligence Engineer Depending upon their Level of Expertise AI Engineers in general: • Study and transform Data Science Prototypes • Research and Implement Appropriate ML algorithms and AI tools • Develop Machine Learning Applications according to Requirements • Working with Electric Engineers and Robotics Team • Select appropriate Datasets and Data Representation Methods • Run Machine Learning / AI Tests and Experiments • Train and retrain systems When Necessary • Keep Abreast of Developments in the Field

8. Artificial Intelligence Job Trends • AI jobs will continue to proliferate in 2019 as more and more business adopt the technology. • Some of the most popular AI jobs for this year include AI architect, AI product manager, data scientist, software engineer, and AI ethicist. • AI and Machine Learning job postings on Indeed rose 29.10% over the last year between May 2018 and May 2019. • Even an entry-level AI role can command a 70%-plus premium over that of a plain vanilla computer science (CS) engineer, say recruitment firms and industry experts 

9. Bibliography • https://economictimes.indiatimes.com/jobs/ • https://www.springboard.com/blog/best-programming-language-for-ai/ • https://towardsdatascience.com/self-learning-ai-agents-part-i-markov-decision-processes-baf6b8fc4c5f • https://www.sciencedirect.com/topics/engineering/artificial-intelligence-technique • Boston Institute of Analytics - https://www.biaclassroom.com/

10. Special thanks…. To Boston Institute of Analytics™ for their knowledge contribution. +91-8657604703 | www.biaclassroom.com