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.
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 free 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.
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 in India 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.
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.
Fee Structure: Free to audit, but INR 5923 for Certificate
Machine Learning 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.
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. Refer Machine Learning Books.
Machine Learning Course Fees 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 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.
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.
Machine Learning Course 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.
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.
Advanced Machine Learning Course Syllabus PDF:
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.
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.
Machine Learning Course Syllabus
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.
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.
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.
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:
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.
Given below are a few renowned companies that recruit Machine Learning professionals
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.
What scope do Machine courses offer in India?
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.
How long does the Certification course in this field last?
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.
What is the career scope for Machine Learning graduates?
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.
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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