Machine Learning Course Details | Duration, Fee Structure, Eligibility, Top 6 Machine Learning Courses

Machine Learning Course Details: Machine learning is evolving as the most fast-paced computer science field with strong roots in statistics. Machine learning courses offered an endless supply of industry and applied machine learning that makes an individual more intelligent and efficient.

This article provides you information on Machine Learning courses as a reference for school or college work. Below are the course program’s recorded structure for aspirants to pursue after twelfth or after graduation. This report covers the overall topics like prospectus, course gradations, particulars on qualification, the confirmation process, fee structure, and vocation possibilities.

Get to Know More about other types of Course Details in Stream wise, and Category wise

A Brief on Machine Learning Courses

Fraud detection, ad serving, chatbots, spam filtering, and search engines are among a few instances of how machine-centric the models underpin our everyday lives.

Unlike data sciences, Machine learning courses cover many topics like statistics, exploratory data, visualization techniques, machine-learning courses, and communication courses.

This course’s primary focus is not only the theoretical aspects of machine learning algorithms but also their practicality with the utilization of mathematical algorithms in a programming language.

Machine Learning is a subset of Artificial Intelligence or AI that builds a mathematical model based on training data and algorithms. Machine learning course programs explicitly to perform the task irrespective of the predictions or decisions.

Machine learning algorithms have seen extensive use in multiple domains, such as email spam filtering and computer vision. This course’s scope is applicable at places and softwares where the development of an explicit algorithm for performing the task is unlikely feasible.

However, machine learning is analogous to computational skills focusing on prediction with the use of computer systems. The domains of Machine learning is a vast field that encompasses mathematical optimization which delivers methods, application domains, and theories.

The vital component in the field of machine learning is Data Mining, which emphasizes exploratory data analysis through the method of unsupervised learning.

Machine learning is commonly known as predictive analytics across business problems, and its application detects patterns and creates mathematical models for impossible things.

Machine Learning Course Details

The development of Machine learning has gained popularity over time and has led several reputed institutions to start Machine Learning courses and consider them part of their curriculum. Most reputed institutions such as IIMs, NITs, and IITs have inculcated Machine Learning course programs at different levels.

However, online Machine Learning courses and summer programs have become popular among those who want to learn about this specific area. Machine Learning courses are available at different levels and are taught across the nations on Graduate, Postgraduate, Diploma, and Certificate level.

However, students can also pursue specializations in Engineering courses, B.Tech, M.Tech, and M.Sc course programs in Machine Learning. Short-term plans and distance machine learning courses are offered by certain institutions for individuals to enroll as per their convenience and requirements.

Interested students or professionals can pursue Machine Learning courses through any stream and options.

Top 6 Machine Learning Courses and Certifications

  1. Machine Learning Course Program Course
  2. Deep Learning Specialization Course
  3. Machine Learning with Python Course
  4. Advanced Machine Learning Specialization Course
  5. Machine Learning Course EdX
  6. Machine Learning for Coders – Fast.ai

Machine Learning Course Program Course

This is an online Machine learning course for beginners offered by Andrew Ng, a Stanford professor. This course program uses Octave- an open-source programming language over Python or R for assignment works.

Octave programming language might be a deal-breaker for some individuals. However, for a complete beginner, Octave is simple to learn the fundamentals of Machine learning.

The course material is well-rounded and intuitively articulated with simple explanations of complex mathematical algorithms, calculus, and Linear algebra. The course is reasonably self-contained. However, a small amount of knowledge on Linear Algebra beforehand would help.

Skillset gained

  • Logistic Regression
  • Artificial Neural Network
  • Machine Learning (ML) Algorithms
  • Machine Learning

Fee Structure:  Free to audit, but INR 5923 for Certificate

Course Duration: The Machine Learning course is an eleven-week (four months) long.

Eligibility: This certification course has no eligibility criteria. Interested candidates can enroll.

Upon completion, students can proceed towards advanced or specialized topics, like Deep Learning, ML Engineering, or anything else that piques their interest.

Deep Learning Specialization Course

Andrew Ng again offers this specialization course. This is a step ahead with advanced course series for interested candidates. It offers a scope on neural networks and deep learning and the practicalities on how to solve the problems.

The lectures and the assignment series utilize the Python programming language and make use of the TensorFlow library for neural networks. The entire course is articulated through Python for machine learning.

Course Curriculum:

  • Neural Networks and Deep Learning
  • Improving Neural Networks such as Hyperparameter Tuning, Regularization, and Optimization
  •  Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models

Fee Structure: Free to audit, but INR 3674 per month for Certificate

Course Duration: The Machine Learning course is a four-month-long course with classes for five hours a week.

Eligibility: This certification course has no eligibility criteria. Interested candidates can enroll. However, it is best to have some knowledge of Linear Algebra and machine learning in general.

Machine Learning with Python Course

Machine Learning with python certification program is a beginner course offered by IBM. This course focuses solely on the fundamentals of Machine learning algorithms. The course program provides an intuitive feel for the fundamentals through slide animations, the instructor, and explained algorithms.

The Machine learning course makes use of Python and is lighter on the Mathematics behind the algorithms. With each module, candidates will get access to an interactive Jupyter notebook in the browser to work through the learned concepts.

Course Curriculum:

  • Introduction to Machine Learning
  • Regression
  • Classification
  • Clustering
  • Recommender Systems
  • Final Project

Fee Structure: Free to audit, but INR 2924 per month for Certificate

Course Duration: The Machine Learning course is a six-week long course that takes 22 hours approximately.

Eligibility: This certification course has no eligibility criteria. Interested candidates can enroll. However, it is best to have some knowledge of Linear Algebra and machine learning in general.

The course primarily focuses on each algorithm’s practicality and a set of pros and cons required to sort of situations for an individual to use. The course offers information for new learners to understand the broader context.

Advanced Machine Learning Specialization Course

This is an advanced series of courses offered by the National Research University Higher School of Economics through a comprehensive network. This Specialization course program is the key to a balanced and extensive online curriculum.

This course is exceptionally well-presented and concise and needs a brush up on linear algebra and calculus, like a part of the individual’s machine learning expertise.

Course Curriculum:

  • Introduction to Deep Learning
  • Learn from Top Kagglers: How to Win Data Science Competitions:
  • Bayesian Methods and their incorporation in Machine Learning
  • Practical Reinforcement Learning of Machine learning program
  • Deep Learning in Computer Vision section of the program
  • Natural Language Processing
  • Addressing the Large Hadron Collider Challenges by Machine Learning

Fee Structure: Free to audit, but INR 3674 per month for Certificate

Course Duration: The Machine Learning course takes about eight to ten months long, with classes for six hours per week.

Students will be creating several real projects throughout the course months through reading, seeing, and playing in a computer learning course.

Eligibility: This certification course has no eligibility criteria. Interested candidates can enroll themselves in an advanced ML program. However, it is best to have some knowledge of Linear Algebra and machine learning in general.

Machine Learning Course EdX

This course shows a probabilistic approach to machine learning. This is an Advanced online course series offered by Columbia University that holds the highest prerequisite of mathematics over the other courses.

To understand this advanced series on Machine learning, students need a firm grasp of Linear Algebra, Calculus, Probability, and programming.

The course offers exciting programming assignments in either Python or Octave, but it doesn’t teach either of the programming languages.

Course Curriculum

  • Maximum Likelihood Estimation, Linear Regression, Least Squares
  • Ridge Regression, Bias-Variance, Bayes Rule, Maximum a Posteriori Inference
  • Nearest Neighbor Classification, Bayes Classifiers, Linear Classifiers, Perceptron
  • Logistic Regression, Laplace Approximation, Kernel Methods, Gaussian Processes
  • Maximum Margin, Support Vector Machines (SVM), Trees, Random Forests, Boosting
  • Clustering, K-Means, EM Algorithm, Missing Data
  • Mixtures of Gaussians, Matrix Factorization
  • Non-Negative Matrix Factorization, Latent Factor Models, PCA and Variations
  • Markov Models, Hidden Markov Models
  • Continuous State-space Models, Association Analysis
  • Model Selection, Next Steps

Fee Structure: Free to audit, but INR 22490 for Certificate

Course Duration: The Machine Learning course takes about twelve long, with classes for eight to ten hours per week.

Eligibility: This certification course has no eligibility criteria. Interested candidates can enroll for this advanced course program. However, it is best to have some knowledge of Linear Algebra and machine learning in general.

Machine Learning for Coders – Fast.ai

This course program is a non-certification course offered by Fast. Ai, that uses Python programming language to teach students. The course curriculum is based on the University of San Diego’s Data Science program. Therefore, the online class structure is similar to the MIT OpenCourseWare style.

The course comprises of several videos, homework assignments, extensive notes, and a discussion board. The curriculum encompasses the use of Machine learning models and also launch them on cloud providers like AWS.

It offers a course through the use of its open-source library. However, students must have so,e knowledge on Linear Algebra, Probability, Calculus, and Programming.

Course Curriculum

  • Introduction to Random Forests
  • Random Forest Deep Dive
  • Performance, Validation, and Model Interpretation
  • Feature Importance. Tree Interpreter
  • Extrapolation and RF from Scratch
  • Data Products and Live Coding
  • RF From Scratch and Gradient Descent
  • Gradient Descent and Logistic Regression
  • Regularization, Learning Rates, and NLP
  • More NLP and Columnar Data
  • Embeddings
  • Complete Rossmann. Ethical Issues

Fee Structure: Free for audit

Course Duration: The Machine Learning course takes about twelve long, with classes for eight to ten hours per week.

Eligibility: This certification course has no eligibility criteria. Interested candidates can enroll for a Machine learning course for coders. However, candidates should have some knowledge of high school mathematics.

Top Institutions for Machine Learning Course

Several colleges in India have started incorporating regular classes on Machine Learning courses. Machine Learning courses are categorized under many disciplines and streams, as it is not bound to a specific sector of education. Here, are a few institutions that have incorporated Machine Learning program:

  • Narsee Monjee Institute of Management Studies, Mumbai
  • Indian School of Business (ISB), Hyderabad
  • Great Lakes Institute of Management), Kanpur, Chennai, Bangalore, Gurgaon
  • Indian Institute of Technology (IIT
  • MISB Bocconi, Mumbai
  • S P Jain School of Global Management, Pune
  • Indian Institute of Management (IIM), Bangalore
  • Lovely Professional University (LPU), Phagwara
  • Chandigarh University (CU), Chandigarh
  • Institute of Finance and International Management (IFIM), Bangalore

Career Prospects for Machine Learning Courses

A career in the field of Statistics in the Industry of Machine learning and Artificial Intelligence is witness an enhancement of 2.3 million positions across the globe. Several small and big companies function on Machine Learning Technologies as this sector is growing in leaps in bounds in the technology industry.

The field of Machine Learning encompasses many applications to make life easy with the help of technology. Some of the Machine Learning job options available for candidates who have a degree or certification in the course of ML are given below.

Job Profiles Under Machine Learning Course

  • Software Developer
  • Data Scientist
  • Computational Linguist
  • Software Engineer
  • Designer in Human-Centred Machine Learning
  • Data Architect
  • Machine Learning Engineer
  • Cyber Security Analyst
  • Machine Learning Researcher
  • Data Mining Specialist
  • Cloud Architect

Top Recruiters

Given below are a few renowned companies that recruit Machine Learning professionals

  • Google
  • Amazon
  • Facebook
  • Uber
  • Microsoft
  • Apple
  • Adobe
  • Bosch Group
  • Accenture
  • JP Morgan Chase & Co.
  • Wipro

Salary Prospects of Machine Learning Course Holders

The average salary for graduates from Machine learning courses fluctuates from INR 35,000 to INR 40,000 per month. However, candidates who hold higher academic qualifications and excellent work experience can draw a more top pay package.

FAQ’s on Machine Learning Course Details

Question 1.
What scope do Machine courses offer in India?

Answer:
Machine Learning courses offer a bright future for graduates. Big corporates such as Facebook, Google, and Quora hire people with machine learning skills. This field requires intense research in machine learning across the globe. There is no upper limit on the salary of machine learning professionals at top companies.

Question 2.
How long does the Certification course in this field last?

Answer:
The machine Learning certification courses take about three months to ten months long with classes for six/ ten hours per week. However, the duration varies with the institution offering them.

Question 3.
What is the career scope for Machine Learning graduates?

Answer:
The field of Machine Learning encompasses many applications to make life easy with the help of technology. Graduates can work as Data scientist, Software engineer, Software developer, etc. at big corporates like Uber, Google, Quora, Facebook, etc. The average salary for graduates from Machine learning courses fluctuates from INR 35,000 to INR 40,000 per month.

Summary of Machine Learning Course Details

We hope that the information mentioned above regarding Machine Learning Course Details has helped improve your understanding of the subject with in-depth knowledge.

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