Machine Learning Archives - IIRF https://iirfranking.com/blog/tag/machine-learning/ Indian Institutional Ranking Framework (IIRF) Mon, 26 May 2025 06:52:36 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.2 https://iirfranking.com/blog/wp-content/uploads/2020/11/iirf-favicon.png Machine Learning Archives - IIRF https://iirfranking.com/blog/tag/machine-learning/ 32 32 IIM Bodh Gaya introduced Executive Courses in Business Management, Digital Marketing, AI And ML https://iirfranking.com/blog/news/iim-bodh-gaya-introduced-executive-courses/ https://iirfranking.com/blog/news/iim-bodh-gaya-introduced-executive-courses/#respond Tue, 12 Apr 2022 12:35:19 +0000 https://iirfranking.com/blog/?p=15229 IIM Bodh Gaya is also ready to introduce courses in emerging areas like supply chain […]

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IIM Bodh Gaya is also ready to introduce courses in emerging areas like supply chain analytics and others to meet various sectors’ needs.

There is good news for the candidates who want to kick off their careers in emerging areas like Digital Marketing, AI, ML, and Business Management! The Indian Institute of Management Bodh Gaya (IIM BG), in collaboration with Times Professional Learning (TPL), is ready to launch three executive education programs. This consists of an executive certificate program in business management, digital marketing for business, artificial intelligence, and machine learning.

Learners who want to begin their journey in the executive courses will experience the IIM campus immersion session during their programs. And will be awarded the status of being IIM Bodh Gaya executive alumni.

“IIM Bodh Gaya’s state-of-the-art infrastructure and facilities offer a unique combination of learning experience and modern-day skills via technological interventions. It holds a proud distinction to be located in the prestigious land of Nalanda, regarded as being the hub of attaining knowledge and enlightenment. IIM and TPL Bodh Gaya aims to carry forward the legacy by introducing courses in emerging areas and investing in todays’ country’s pillar -youth, talent, innovation, and technology. Thus contributing and investing towards building a nation.

Speaking on the big announcement, Dr. Vinita S Sahay, Director, IIM Bodh Gaya said, “ It is a pleasure and privilege to associate with Times Professional Learning and embark on a new journey in learning. We are the custodians of one of the two biggest brands that India has produced – the IITs and IIMs. We have inherited a legacy and have a huge responsibility to create a bright future for the youth of our country. we are steadfast in equipping our young leaders and empowering them to be future-ready. Our teachers are committed to contributing to our nation’s growth by imparting knowledge with modern-day skills and setting impeccable learning standards.”

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Machine learning and its Relevance at Present https://iirfranking.com/blog/machine-learning/machine-learning-and-its-relevance-at-present/ https://iirfranking.com/blog/machine-learning/machine-learning-and-its-relevance-at-present/#respond Wed, 09 Feb 2022 11:37:02 +0000 https://iirfranking.com/blog/?p=14943 Machine learning is a wing of artificial intelligence (AI) and computer science that emphasises the […]

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Machine learning is a wing of artificial intelligence (AI) and computer science that emphasises the use of data and algorithms to imitate intelligent human behavior and improve its accuracy gradually. Machine learning allows software applications to become more accurate in envisaging results without being explicitly programmed. The ML algorithms work on historical data as input to predict new outcomes.

These days you can find the use of Machine learning everywhere. When you use chatbots, language translation applications, recommendations on social media feeds, and suggestions of shows on OTT, it is all because of the machine learning algorithm.

Functions of machine learning

In the form of AI, Machine learning teaches computers to think like humans, learn from past experiences and improve with time. It analyses data and identifies patterns of human behavior and includes minimum human involvement. The companies are going for automation through Machine learning algorithms and transforming processes that were earlier only possible by humans to perform.

The three main functions of Machine learning include:

  • Descriptive – the system uses the past data to describe what happened
  • Predictive – the system uses the past data and predict what will happen
  • Prescriptive – the system will use the data and prescribe the best suggestion

Usage of machine learning

In today’s fast-paced world, machine learning has emerged as a revolutionary technology that has helped businesses increase efficiency and accuracy and decrease wastage of resources.

  • It is used to automate tedious manual tasks like data entry, fraud detection, customer service, product recommendations, etc.
  • Machine learning is useful in speeding up processes in organizations and reducing manual workloads.
  • It can do a meticulous analysis and detect minor patterns that human eyes may miss.
  • Image recognition and face recognition are also great features developed by machine learning. It helps in recognising the face of any person and sending the information related to that person.
  • Voice recognition is another interesting feature of machine learning that helps in developing virtual personal assistant (VPA) applications. Amazon echos, google homes, Google Allo, etc. are some of the examples of voice recognition technology.
  • Machine learning is very useful in the stock exchange industry too. A large number of trades are now reliant on this technology without human interventions.
  • It keeps an eye on activities like money laundering and helps companies to check a large number of day-to-day transactions and ensure secure transactions.
  • This technology is proved to be crucial in the healthcare sector. ML technology is immensely helping in tracking and diagnosing any chronic diseases. Online remedies, doctor consultation, and prescription facilities have become possible with the integration of ML techniques.
  • Machine learning has taken multi-tasking of machines to a next level by applying intelligence to complicated tasks and making them simple.
  • These algorithm-based intelligent machines are being used in almost every field to reduce human errors and enhance accuracy.
  • These are some of the most popular uses of machine learning algorithms but their uses are not restricted to only these activities. It is widely used for multiple purposes by different industries.

Career Scope

The field of Machine learning offers lucrative job opportunities and skilled professionals are in high demand in the local and global market. If the terms algorithm, automation, and data evaluation trigger your mind and excite you to explore these areas then machine learning is the right career choice for you.

The job market for machine learning is in a nascent stage and evolving but we can find some prominent roles that several organisations are offering. Listed below are some of the specialised roles for which machine learning experts are required:

To build a career in machine learning, you can study computer science, software engineering, statistics, deep learning, and humanities. Following are the must-have skills for a successful career in this field:

Required Skillset

Mathematical skillsKnowledge of system analysis and design conceptsComputer programming, statistics and data evaluation
Knowledge of data structure conceptsAcquaintance of machine learning algorithmLeadership skills

High-skilled professionals can earn good salary packages. As per payscale data, the average salary of an ML engineer in India is approximately Rs. 6.5 lacs. The world is turning towards these past-paced technologies. Be it a big corporate or start-up, every company is offering almost all sorts of job roles with attractive salary packages.

The scope of machine learning is wide and its relevance is massive. It is aggressively being adopted by various sectors like retail, transportation, healthcare, and financial services in India. Hence, the future is promising in machine learning and will bring more interesting as well as challenging opportunities in the time to come.

Also Read: Top Universities in India, Top MBA Colleges in India & Top Engineering Colleges in India

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Artificial Intelligence: Revolutionizing Higher Education https://iirfranking.com/blog/career-guidance/artificial-intelligence-revolutionizing-higher-education/ https://iirfranking.com/blog/career-guidance/artificial-intelligence-revolutionizing-higher-education/#respond Fri, 09 Apr 2021 05:25:18 +0000 https://iirfranking.com/?p=12825 AI helps students with advanced tools and technologies in gaining surplus knowledge apart from classrooms. […]

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AI helps students with advanced tools and technologies in gaining surplus knowledge apart from classrooms. For improving the learning experience AI is the best solutions compared to traditional ways.
For the teachers, AI helps in preparing course outline, marks grading, homework correction etc. This helps faculties to concentrate in developing student’s skillset, research and in improving their teaching methodologies.
AI tools help in segregating and grouping the learning materials (smart content) such as e-books, audio and video lectures according to student preferences and course outline. By learning in this way, the process of learning and the outcome of the course will become student-oriented.

According to the IQ level of the students, they can be classified as low, medium and high. Based on their level of IQ they can be trained with AI-Based systems. AI-powered smart tutoring systems help the students to access from any location and in creating personalized study plans.

Voice Assistants such as Alexa, Siri, and Google assist the students in the absence of teacher in the classrooms. Implementation of voice assistant technology in the college campus makes the students to participate actively in classroom activities.

AI-powered Attendance System helps in taking the attendance of students automatically. By implementing such a system, the student’s habit of giving proxy can be avoided and no need of spending much time in taking attendance.

Facial Recognition and Voice Recognition helps in reducing malpractices while examinations.

Many companies are now engaged in developing AI-powered tools for educational institutions such as,

  • Nuance had created an app for speech-recognition. Beneficiaries of this app are who struggle with writing.
  • Querium made customized STEM courses for schools and college students.
  • Brainly is an online platform that provides a classroom environment for the students.
  • Kidaptive is an Adaptive Learning Platform that creates a challenging task for students depending on their distinct strength and weakness.

To make an improvement in the education sector, the various challenges faced by the students and faculties must be addressed with solutions employed by Artificial Intelligence. Artificial Intelligence and Machine Learning will impact in all in all growth and performance of students and also helps to lessen the stress and pressure on faculties.

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Top 15 Institutes for B.Tech in Artificial Intelligence(AI) in India https://iirfranking.com/blog/artificial-intelligence/top-15-institutes-for-b-tech-in-artificial-intelligence-ai-in-india/ https://iirfranking.com/blog/artificial-intelligence/top-15-institutes-for-b-tech-in-artificial-intelligence-ai-in-india/#respond Fri, 26 Feb 2021 05:17:17 +0000 https://iirfranking.com/?p=12336 Artificial intelligence is a reality that is changing the way all industries work. The impact […]

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Artificial intelligence is a reality that is changing the way all industries work. The impact of AI is such that it is fast transcending the borders of fantasy and truth. Voice-controlled machines, face-recognition on smartphones, and personalized product recommendations have become part of our everyday lives. These innovations are powered by Artificial Intelligence (AI), and its reach continues to grow rapidly. The Internet of Things (IoT), another major technological advancement, extends AI into connected devices worldwide.

There are three main branches of Artificial Intelligence (AI), namely Natural Language Processing (NLP), Machine Learning (ML), and Computational Statistics. All the domains are closely related as NLP relies heavily on statistics and computational linguistics. ML is concerned with the future learning and decision-making by computer systems, enabling them to do what only humans can. As AI and ML technologies evolve, more institutions across India are offering specialized courses to keep up with global advancements. To explore a career in AI, the domains that you need to master are engineering, advanced maths, and statistics, computer science, robotics, physics, and coding.

Top Indian Colleges Offering B.Tech in AI: Where Innovation Meets Education

Many top institutes in India have full-fledged courses on AI and ML. Most colleges make it mandatory for students to have science and maths in their 10+2 for admission to AI courses. Many universities now encourage students to dive deep into research by offering advanced facilities and dedicated AI labs. Some of the top colleges for doing B. Tech. in AI are:

  1. Indian Institute of Technology (Hyderabad): This top college for AI in India offers the course for AI and ML as a specialisation at the UG, PG and Ph.D. levels by the Computer Science department, as well as through a dedicated Department of AI. The cost of the course is around 1.5 lakh.
  2. Indian Institute of Technology (Kharagpur): The Department of Computer Science covers the study of AI as an elective at the Master’s level. These labs allow learners to work on real-world projects and contribute to ongoing innovation in AI and ML.
  3. Indian Institute of Technology (Chennai): IIT Chennai gives major importance to AI studies. It established the Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI) in 2017 to promote cutting-edge research in the field. Electives in AI and ML are there within the Electrical Engineering department.
  4. Indian Institute of Technology (Kanpur): The top University in India for engineering, IIT Kanpur’s B. Tech. in CSE has Artificial Intelligence as a minor program. It comprises other subjects that are related to AI, like ML, Deep learning and NLP.
  5. Indian Institute of Technology (Delhi): Another premier institute in India’s capital city, has started covering AI, ML, NLP and Algorithms as special topics under the B. Tech. in CSE program.
  6. Indian Institute of Technology (Mumbai): This campus of IIT has also taken cognisance of the importance of AI development and started a Certificate Program in Machine Learning and AI. Further, the B. Tech. in CSE covers the subjects as electives. In 2018, the college tied up with IBM for collaborative research in AI.
  7. Indian Institute of Technology (Gandhinagar): The department of CSE is exceptionally strong at IIT Gandhinagar. It covers the subjects of machine learning, computer architecture, data mining, etc. as part of the B. Tech. as well as M. Tech. programs.
  8. BITS (Pilani): As a revolutionary step, a Certificate PG course in AI and ML has been introduced for professionals and freshers. This is an 11-month long course and involves research in various facets of AI.
  9. Vellore Institute of Technology: A well-known college VIT offers an integrated 5-year course at the PG level in Computational Statistics and Data Analytics. Plus, there are multiple B. Tech. in CSE courses, with specialisation in AI & ML, as well as IoT. These courses are available in both campuses of VIT, namely, Bhopal and Chennai. The college ties up with leading industry players for projects to make the courses up-to-date and useful. Admission for B. Tech. is through the VITEEE exam conducted by the college.
  10. Chandigarh University: There are dedicated courses offered by the Chandigarh University in AI and ML, as well as Cloud Computing, Big Data and Analytics, and Internet of Things. These courses are part of the CSE branch of engineering. The placement records by this college are exemplary, as top IT companies employ students in AI and ML domains. The 4-year long courses are comprehensive, covering all elements of AI programming and development.
  11. Indraprastha Institute of Information Technology: The IIIT Delhi offers courses in AI and Edge AI, Advanced Internet of Things, and Software Production Evolution and maintenance. These have different admission criteria, and the duration may also vary. There is a direct admission test conducted by IIIT and it also accepts scores of JEE and JAC. The fee for the entire course is around 5 lakh.
  12. SRM Institute of Science and Technology: This Chennai-based college offers advanced courses for AI as part of Computer Science Engineering. The fee for the full course is quite high at around 10 lakh. Admission is through JEE Main as well as the exams conducted by SRM IST college.
  13. DY Patil International University: Based in Pune, this university offers excellent facilities for testing and research in the CSE domain. The fee structure is around 2 lakh per year for the 4-year long B. Tech. course.
  14. University of Petroleum and Energy Studies: A leading university of India, UPES Dehradun, offers a course in AI through its School of Computer Science. There are electives as a specialisation as well as a minor choice subject. Students have to pass the UPES Engineering Aptitude Test or attain at least 60% marks in JEE Main for admission to UPES. The fee for the full course is about 12 lakh, making it one of the more expensive options.
  15. Jain University, Bangalore: It’s a deemed-to-be-university, and offers several engineering courses in various domains. Specialisations in AI and ML, Internet of Things, Data Science, Cloud Technology, and Cybersecurity are offered both as B. Tech and M. Tech courses. The entire course costs around 6 lakh. The Jain Entrance Test (JET) is conducted for admissions.

Apart from these top universities in AI, many other colleges have started offering either dedicated courses in AI or specialisation in AI and ML for B. Tech. courses. The scope of this domain is the widest as it has application in most of the developing areas.

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