- Fees: ₹ 60,600
- Exams: GATE
What is Machine Learning
Machine learning is one of the applications of Artificial Intelligence. It provides the potentiality to automatically learn and improve from experience without being explicitly programmed.
The learning process starts with observations or data to look for patterns in data and make better decisions in the future based on the examples provided. Without human intervention, the computers are allowed to learn automatically. Machine learning involves analyzing enormous amounts of data. Its results are delivered faster, more accurately and help in identifying risks or chances that yield profit.
As machine learning has become one of the emerging technologies, it makes a good career. Machine learning has a long way to go, so it is going to need professionals in the future as well.
Being skilled and updated is mandatory for a developing field like machine learning. Algorithms in machine learning are difficult through research. It involves creativity, experimentation and persistence. Many colleges and universities have started to offer machine learning courses.
Yet, there are a few institutions without machine learning. Machine learning is too common abroad, it needs some time to become popular in India.
However, the top institutes of India offer machine learning courses. IIT Hyderabad was the first university in India to devise a professional AI course. It aims at creating AI and machine learning professionals.
Eligibility Criteria (UG & PG) of Machine Learning
For Machine Learning Undergraduate Level
Candidates who have completed 10, +2 in a recognized state board with science as mainstream are qualified applicants.
Some colleges select candidates after a test. There are colleges which select candidates through the merit-based admission process.
For Machine Learning Postgraduate Level
Candidates who are qualified to apply for postgraduate courses must have completed a Bachelor’s degree in Artificial Intelligence related courses.
Entrance exams like GATE are conducted across various institutes
Mostly students prefer writing GATE as it is a national level examination that gives way to admissions in top institutes.
Some colleges have separate exams or merit-based admission to M.Tech artificial intelligence.
Entrance Exam for Machine Learning
SUAT (Sharda University Admission Test)- Sharda university conducts entrance exam for admission in B.Tech Artificial learning and Machine learning. The mode of exam is online. The eligibility to appear in SUAT is class 12 with minimum 60% pass percentile.
IIT-JEE- To get admission for B.Tech artificial intelligence in IIT Hyderabad, first the candidates must clear JEE Main. Then, they attempt JEE advanced. After clearing JEE Advanced, the students are selected based on the score.
UPSEE- Uttar Pradesh State Entrance exam is conducted for artificial intelligence. Eligibility for the entrance exam is 12th standard completion with computer science as major. The pass percentile in class 12 must be 60%. After completion, admission for B.Tech in Artificial Intelligence is granted.
GATE- The Graduate Aptitude Test (GATE) in Engineering is the gateway to postgraduate course admission and job opportunities as well. It is a national level entrance exam conducted online. The eligibility for Gate exam is a Bachelor’s degree in Computer Science. After clearing GATE, M.Tech. in Artificial Intelligence can be pursued in a reputed Indian university.
Scope of Machine Learning in India and Abroad
Those who have a passion for mathematics and creativity are perfect for pursuing machine learning. Mathematics, statistics, calculus is the foundation of machine learning.
The algorithms in machine learning are built with these as bases. A model in machine learning is built by using multivariable calculus. Linear algebra that deals with matrices, vectors and linear transformations are used to perform operations.
These clearly show that math plays a principal role in machine learning.
Coders who have their interest in python programming are welcome. Machine learning technology is widely used in the banking and finance industry because machines give excellent results and improvement.
Machine learning also prevents fraudulent activity, and it works as a marketing tool. By analyzing web activity, previous ads marketing is done. Suspicious patterns are also effectively identified by machine learning. Cyber-attacks are discovered or prevented.
These are services all the countries of the world need. Strikingly, the scope of machine learning is huge in India and other countries.
Machine learning designs systems to predict outcomes using previous data. There are a lot of opportunities in this field. Many techies are passionate about machine learning and are craving to establish it as their career. It’s the right time to develop your skills and abilities to pursue machine learning as a career.
Course Fees Machine Learning
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Some of the subjects in undergraduate machine learning are
Programming for problem-solving
Application-based programming using Python
Data Structures using C
OOPS using JAVA
Database Management System
Computational learning theory
These may differ for various colleges. Names of the subjects are different, whereas outcomes would be the same.
Mtech in Artificial Intelligence is a two-year postgraduate course with 4 semesters.
It comprises of subjects namely,
Principles of computer integrated manufacturing
System modelling and identification
Machine and mechanics
Careers in Machine Learning
Once you have acquired the skills required for machine learning, you can land in your favourite specialization in machine learning.
Initially, a machine learning graduate starts his career as a software developer, later on, he wears many hats such as data scientist, NLP scientist, and business intelligence developer.
You must know how to identify the right opportunity in machine learning since there are countless opportunities. A wrong choice can lead the aspirant to failure.
Data security is the need of the hour. Data is protected, combining machine learning and artificial intelligence. Data scientists and data analysts do this. Machine learning performs a lot of human tasks. An example is a personal voice assistant.
It provides many organizations with custom design voice personal assistants. Cloud computing is an upcoming trend that helps experimentation with machine learning to understand and improve customer experience.
Machine learning also helps to filter useful data from useless. Digital data forgetting is the technique that is used for this.
Cybersecurity is enhanced, and multiple layers of protection are developed. AI makes cybersecurity better through an automation process that detects cyber-attacks and reacts to data breaches.
Without requiring human intervention machine learning deals with cyberattacks with automated responses. Forecasting and rapid decision making is done by machine learning.
It helps in recent trends and techniques, keeping data safe and satisfies customers. Duplication is not necessary for organizations because of machine learning.
Job Profiles and Top Recruiters
Machine Learning Job Profiles
Machine learning fresher jobs are a data scientist, software engineer or data analyst. Though there are a lot more job profiles in machine learning, a few are briefed below with their job description.
Machine Learning Engineer
A machine learning engineer is responsible for designing and implementing machine learning algorithms
A data scientist collects, analyzes large quantities of data using machine learning to derive solutions and form future strategies
A data analyst first obtains information about specific data and then interprets it.
A data architect develops constructs and maintains the data. Machine learning algorithms are used in doing so.
Natural Language Processing scientists aim to give machines the capability to understand human languages. Grammarly and Duolingo are examples of NLP.
He/she is responsible for designing computer functions and making sure the upgrades work correctly. Strategic planning and creation of models or diagrams are done
Designer in human-centred machine learning
Human-centred machine learning is responsible for algorithms behind social media. Softwares for banking are done electronically by human-centred machine learning designers
Top Recruiters for Machine learning
AI companies and global tech companies are actively hiring machine learning engineers. Some of the recruiters are mentioned below.
JP Morgan Chase & Co
Salary package is the important thing to be noted before choosing a course. The more educated you are, the greater your salary becomes. The quality and scope of the course decide your salary.
The average salary of a few positions in machine learning is as follows,
Machine learning engineer
Rs. 5-6 lakh p.a. (Approx.)
Rs 6-7 lakh p.a. (Approx.)
Rs. 3-6 lakh p.a. (Approx.)
Rs 8-9 lakh p.a. (Approx.)
Rs. 10-19 lakh p.a. (Approx.)
Rs. 35-50 lakh p.a. (Approx.)
Required Skillset for Machine Learning
Statistics- Creation of models in machine learning requires statistics. Algorithms that are built need branches of statistics such as analysis of variance and hypothesis testing. Statistics are the key to build machine learning algorithms. It’s very important to acquire knowledge of statistical tools to accelerate your career in machine learning.
Probability- As mentioned earlier, prediction leads to results and improvement in machine learning. Probability helps in prediction. Machine learning deals with uncertainty conditions to make reliable decisions. Mathematical equations in probability aid in predicting the future.
Data Modeling- Formless data have to be analyzed and modelled to created algorithms. Data modelling is required in this case. Data modelling concepts have to be known to become a machine learning professional.
Programming Skills- All computer science careers have one of their parts as coding. Coding is one skill that every recruiter expects from a computer science candidate. Machine learning mainly requires Python to code. Knowing different programming languages is a plus though.
This helps in scripting web pages and other little activities machine learning needs. Fundamentals skills like computer architecture, algorithms, and data structures have to be strong.
Software Design- Strong skills regarding user interface (APIs) of various flavours and also designing interfaces is needed. Future online services are going to function using machine learning. The skills mentioned have to be mastered to reserve your career in machine learning, and the opportunities are boundless.
Course Curriculum for Machine Learning
BTech in artificial intelligence and machine learning is a 4-year undergraduate course imparting knowledge in machine learning also called deep learning and artificial intelligence.
The course enables us to develop our software and applications. Different fields based on machine learning like neural networks, signal processing, control and data mining are learned.
Popular Machine Learning Entrance Exams in India
Popular Machine Learning Colleges in India VIEW ALL
Frequently Asked Questions (FAQs)
Question: How is a Machine learning engineer different from a data scientist?
A data scientist analyzes data to produce worthy data insights. They are then used by organizations to make decisions in business. A machine learning engineer also analyzes data to create algorithms to make systems run in minimal human intervention. Simply, data scientists create information for humans and machine learning engineers create it for computers.
Question: How many programming languages are required for machine learning?
Question: Is the coding necessary for machine learning?
A little bit of coding is enough for machine learning. It’s essential to know data structures, algorithms and OOPS concepts. Scripting is an excellent intermediate between machine learning and intensive programming solutions. There is no machine learning without coding. Minimally, basic programming skills are required.
Question: Is a postgraduate degree essential for machine learning?
Make sure every subject taught in the bachelor degree is learnt deeply. A bachelor’s degree with few machine learning project accomplishments is more than enough to get good pay. A high-quality portfolio and meeting professionals are needed. Machine learning doesn’t need a master degree.
Question: What is machine learning, and why is this important?
Some of the capabilities of Humans are their ability to store a lot of information, processing them, finding patterns and using past knowledge/information to better themselves or find the best possible solution. But it is exactly what we are teaching the computer to do with Boolean (True or False) values by teaching it that something is what we need and to disregard the other things on its own without any input from a human by recognizing a pattern and using that.
One of the biggest among this is the ‘YouTube Algorithm’ an AI which deals with 21 TB of data every day and up to 7.7 Petabytes per year and uses your watch history, likes, dislikes and thousands of different metrics in the videos to fill up your recommended lists to ensure that you are on YouTube watching videos constantly.