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Machine Learning (ML) Course Details: Admission Process, Career Options, Top Colleges, Jobs

Sukriti Vajpayee
Sukriti VajpayeeUpdated On: August 08, 2019 01:22 pm IST

Machine Learning has become one of the most sought after courses in the field of science and technology. Candidates who wish to pursue a course in Machine Learning (ML) can find all the details of the course here.

Machine Learning

In the fast-paced world of technological advancements today, new scientific studies and technologies are being innovated frequently. Keeping up with this immense network of data, technicalities, and its methods is a challenge for most of us. Machines are created to help humans in times like these and they are constantly updated with the latest technologies so that maximum efficiency can be extracted from them in minimum time. Machine Learning is one such advancement made in the technology sector that has reshaped our entire lives. Knowingly or unknowingly, we use Machine Learning much more than we acknowledge and this is why the study of Machine Learning has gained extreme popularity in the past few years. This article contains basic information about Machine Learning and its courses. The candidates who wish to pursue courses of ML and make a career in it will find all relevant information here.

What is Machine Learning?

Machine Learning, commonly abbreviated as ML, is the scientific study of statistical models and algorithms that are used by computer systems for performing a particular task effectively without using explicit instructions. It does not rely on patterns or inference too. Machine Learning is almost always seen as a subset of AI, or Artificial Intelligence. The algorithms of Machine Learning build a mathematical model that is based on sample data, which is called “training data”. This is done by ML for making decisions or predictions without being specifically programmed to perform the task. The algorithms of Machine Learning are used in various applications such as computer vision and email filtering. They are basically used in places and applications where the development of an algorithm of explicit instructions for performing the task is not feasible.

Machine Learning is quite closely related to computational skills that focus on making predictions using computer systems. The study of mathematical optimisation delivers theory, methods, and application domains to the vast field of machine learning. An important field of study within Machine Learning (ML) is Data Mining which focuses on the analysis of exploratory data through unsupervised learning. Machine Learning is also referred to as predictive analytics in its application across business problems.

Interdisciplinary techniques like linear algebra, statistics, computer science, and optimisation are used by Machine Learning for creating automated systems that are capable of sifting through large volumes of data at high speed in order to make decisions or predictions without human intervention. As a field, Machine Learning is incredibly pervasive now. It has its applications spanning from homeland security to business intelligence, from the structural monitoring of ageing bridges to analysing biochemical interactions, and from astrophysics to emissions.

Machine Learning Courses

The demand for Machine Learning courses has increased significantly in the past few years. As the technology is blossoming and making its way into many of the applications, the number of science and technology experts enrolling themselves for Machine Learning courses is also witnessing a rise. Many courses of Machine Learning have been started at various levels by all the leading institutions of science and technology in the country. In spite of Machine Learning courses still being in their initial stages due to surfacing recently, they see many professionals and students willing to take the course at several levels.

The development and popularity of Machine Learning have led many institutions to start ML courses and make them a part of their curriculum. The most reputed institutes of India like the IITs (Indian Institutes of Technology), the IIMs (Indian Institutes of Management), and the NITs (National Institutes of Technology) have introduced Machine Learning courses at different levels. In fact, the courses of Machine Learning are not limited to the technical and scientific institutes and universities of the country only. Several other educational bodies have commenced teaching ML courses to the students who are interested in the field. Online courses in Machine Learning (ML) and summer programmes offered by some institutions have also become quite popular among those who want to learn about this specific area. The courses of Machine Learning are taught across the nation on the graduate (UG), postgraduate PG), diploma, and certificate level. Students can also specialise in Machine Learning and obtain a degree of Engineering, Bachelor of Technology (B.Tech), Masters in Technology (M.Tech), or Masters in Science (M.Sc) in Machine Learning. Distance learning courses and short term programmes in ML are also offered by some colleges so that individuals can enrol as per their requirements and convenience. Students or professionals who are interested in pursuing Machine Learning courses through any stream can choose from several options.

Also Read: IIT Delhi Researchers Develop Machine Learning (ML) Software to Predict the Strength of Glass

Machine Learning Course Syllabus

The syllabus of Machine Learning is exhaustive and never-ending. Many modifications of ML course syllabus are under process at all times. Several new topics get included every now and then, depending upon the choice of the student and the depth of the course. The syllabus of Machine Learning is solely dependent on the course a candidate is pursuing. Those who are looking for a short term course to cover the basics of Machine Learning will be taught a comprehensive list of topics whereas candidates interested in doing thorough research and in-depth study of the subject will have to learn about all the recent developments and additions made in the syllabus of Machine Learning. The basic topics included in Machine Learning syllabus are listed below.

  • Basics

    • Unsupervised, Supervised, and Reinforcement

    • Overfitting, Underfitting

    • Bias-Variance Trade-Off

  • Gradient Descent- Stochastic, Batch

    • Principal Component Analysis (PCA)

    • Linear Discriminant Analysis (LDA)

    • Learning Vector Quantization (LVQ)

    • Kernel Smoothing Methods

    • Regularisation Methods- Ridge,LASSO

    • Partial Least Squares

    • Ordinary Least Squares

    • Ensemble Learning- Bagging (bootstrap aggregation), Boosting, Blending, Stacking

    • Kernel Density Estimation

    • AIC, BIC

    • Radial Basis Functions

    • K-fold Cross-Validation

    • Generalised Additive Models (GAMs)

    • Gradient Boosting

    • Multivariate Adaptive Regression Splines (MARS)

  • NLP

    • Word Sense Disambiguation

    • Machine Translation

    • Pronoun Resolution

    • Regular Expressions

    • Tokenization

    • Lemmatization

    • Stemming

  • Evaluation Metrics

    • Precision

    • AUC

    • Recall

    • Mean Absolute Percentage Error

    • Specificity

    • Root Mean Square Error

  • Algorithms

    • Logistic Regression

    • Linear regression: Usually performed through OLS

    • Naive Bayes

    • K Means Clustering

    • K-Nearest Neighbors

    • Classification and Regression Trees(CARTs)

    • AdaBoost

    • Support Vector machines

    • Random Forest

    • Decision Trees

    • ARIMA

    • ID3

    • C4.5, C5.0

    • CHAID

    • Hierarchical Clustering

  • Miscellaneous

    • Curse of Dimensionality

    • Occam's Razor

    • No Free Lunch Theorem

  • Deep Learning

    • Bayesian Neural Nets

    • Neural Networks

    • Deep Boltzmann Machine (DBM)

    • Convolutional Neural Networks

    • Deep Belief Networks (DBN)

  • Mathematics

    • Scedasticity

    • Hypothesis Testing

Best Machine Learning Colleges in India

Many colleges in India have started incorporating Machine Learning courses in their curriculum. As the course of ML can come under many disciplines and streams, it is not bound to a specific sector of education. Some of the best Machine Learning colleges in India that provide various levels of the course are given here. Candidates can go through the list and check the eligibility criteria for the Machine Learning programme that they wish to opt for.

Also Read:Shri Vishwakarma Skill University to Start Artificial Intelligence, Robotics, and 3-D Printing Courses

Machine Learning Career Options

Statistics have claimed that the options of jobs and career aspects in the industry of Machine Learning and Artificial Intelligence are to witness an enhancement of 2.3 million positions towards the end of the year 2030. Many companies that function using Machine Learning technologies have agreed to these surveys and affirmed that since Machine Learning is growing in leaps in bounds in the technical industry, it is definitely going to contribute to new job opportunities and positions in this sector. The field of Machine Learning is already being used for innumerable applications in order to make life easy with the help of technology. Some of the Machine Learning job options available for candidates who have a degree in the course of ML are given below.

Machine Learning is undoubtedly one of the most sought after and important courses in the field of science and technology. Studying the details of Machine Learning and gaining in-depth knowledge will contribute towards building better resources of artificial intelligence in future. It is a big step towards making the lives of humans easier and more convenient by the use of technology and its products. For more details related to Machine Learning and its career options, stay tuned to CollegeDekho!

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