Artificial intelligence course in Mumbai-Boston Institute of Analytics(BIA)

Artificial Intelligence

Artificial Intelligence course in Mumbai

What is Artificial Intelligence?

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Artificial intelligence refers to the simulation of human intelligence in machines.

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The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.

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AI is being used across different industries including finance and healthcare.

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The goals of artificial intelligence include learning, reasoning, and perception.

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

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Support Vector Machines - Support Vector Machines are based on the concept of decision planes that define decision boundaries.

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Artificial Neural Networks - Artificial neural networks belong to a group of informationprocessing techniques which can be used to find knowledge, patterns or models from a large amount of data.

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Markov Decision Process - Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems.

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Natural Language Processing - Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English

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.

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R – R can easily produce well-designed publication-quality plot, including mathematical symbols and formulae where needed.

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Lisp – Lisp is one of the oldest and the most suited languages for the development in AI.

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Prolog – This language stays alongside Lisp when we talk about development in AI field.

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Java - Java can also be considered as a good choice for AI development.

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

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

Artificial Intelligence Job Trends •

AI jobs will continue to proliferate in 2019 as more and more business adopt the technology.

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Some of the most popular AI jobs for this year include AI architect, AI product manager, data scientist, software engineer, and AI ethicist.

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AI and Machine Learning job postings on Indeed rose 29.10% over the last year between May 2018 and May 2019.

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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

Bibliography •

https://economictimes.indiatimes.com/jobs/

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https://www.springboard.com/blog/best-programming-language-for-ai/

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https://towardsdatascience.com/self-learning-ai-agents-part-i-markov-dec ision-processes-baf6b8fc4c5f

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https://www.sciencedirect.com/topics/engineering/artificial-intelligencetechnique

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Special thanks‌.

To Boston Institute of Analytics™ for their knowledge contribution.

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