This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications.
Identify innovative research directions in Artificial Intelligence, Machine Learning and Big Data analytics.
Integrating and reasoning with information from disparate data sources.
Designing and implementing distributed systems for information exploitation, collaboration and decision making.
Data-intensive agent-based tools Providing quality education and practical skills to the students and faculty.
Assist in the development of partnerships with Industry regarding Internships, Summer Jobs, Publications and students’ Placements.
Establish, refine and implement strategies to take the idea in to students and faculty fraternity.
Create sustainable funding models for societal and ACE related efforts.
Encouraging students to publish research articles, patents and starting their start-ups in the campus.
1. Artificial Intelligence Lab.
2. Deep learning Lab.
3. Data structures and Algorithms Lab.
4. Robotics Lab.
5. Advanced Machine Learning Lab.
Cognitive Abilities
Database
Hardware
Framework
Application Program Interfaces (APIs)
Speech Recognition
Natural Language Generation
Machine Learning
Deep Learning
Robotic Process Automation
Cyborg Technology
Education
Healthcare
Businesses
Autonomous Vehicles
Finance and Economics
Video Games
Advertising
E-Commerce
Military
Computer Networks etc
Few of the major companies which needs AI & ML Engineers are : IBM, Amazon, Cognizant, Pivotchain Solutions, Airtel, Google, Dell, Tata Health, Honeywell International Inc., Siemens, Xilinx, Uber, Unisys, Tata AIG, Toyota, PTC Software, Acculogix, HCL, Tempus, DataRobot, CloudMinds, Nauto, OpenAI, Sift Science, SoundHound, Vicarious, VideoTap, Zoom etc.
Some of the major job profiles related to AI & ML are: Innovations Engineers, Machine Learning Engineers, Applied AI Engineers, Data Engineers, Text Programmer, Data Science Engineer, Data Scientist, AI ML Engineer, Head (Analytics) e-Commerce, Senior Developer Machine Learning, Data Modeler, Machine Learning Expert, and Artificial Intelligence Expert etc.
ME(Comp), BE(Comp)
MESSAGE FROM HOD DESK
Welcome to the Department of Artificial Intelligence and Machine Learning at ISBM College of Engineering, Nande , Pune.
Artificial Intelligence and Machine Learning is the most flourishing discipline with advanced learning solutions imparting knowledge of advanced innovations. This branch involves many hardware and software aspects of computing, from the design of individual microcontroller, microprocessor, personal computer and supercomputer to circuit design. This field of Engineering not only focuses on how computer systems themselves work, but also how they integrate into the larger picture.
This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies. The main goal of artificial intelligence (AI) and machine learning (ML) is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behaviour (financial management), recognize faces or spoken speech, optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.
This programme discusses AI methods based in different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions.
The Department emphasizes on all round development of the students, to make them competent engineers. The Department has well qualified and experienced faculty members and technically competent supporting staff. We motivate the students to achieve not only excellence in academics but also on their overall personality development.
