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twitterIn the old days, your computer or phone did exactly what you asked. And nothing more. But now you have machines that can learn on their own;this is possible because of machine learning. These self-learning, interactive machines not only assist but also do tasks independently. Siri and Alexa give you suggestions and those cars know better each time about which turns to take and so on. It is as if they can think. And that is the goal.
Machine learning courses and free machine learning courses along with artificial intelligence courses are fundamental to automation. For the dreamer in you, there are many Machine Learning certification courses to get you ahead in the future.
Key Machine Learning Topics
Machine learning certification courses often cover a range of essential topics that build core skills and practical knowledge. Below is a list of prominent topics, each explained briefly, to help you understand their relevance and applications.
| Topic | Description |
|---|---|
| Linear Regression | Linear regression is a foundational algorithm in machine learning that models the relationship between dependent and independent variables. Common in forecasting and predictive analytics. |
| Logistic Regression | Logistic regression estimates the probability of a binary outcome using a logistic function. Essential in classification tasks like medical diagnostics and churn prediction. |
| Factor Analysis | Factor analysis reduces large datasets by identifying latent variables that explain observed patterns. Frequently used in psychometric, finance, and social research. |
| Eigenvalues | Eigenvalues quantify variance in datasets and are central to dimensional reduction techniques like PCA, forming the backbone of many ML algorithms and mathematical models. |
| Naive Bayes Classifier | The Naive Bayes algorithm applies Bayes’ theorem with an assumption of independence. Fast and reliable for tasks like spam detection and sentiment classification. |
Hierarchical Clustering | Hierarchical clustering builds nested clusters in a tree structure, helping explore data at multiple levels. Widely used in market research and genomic studies. |
| XGBoost | XGBoost is a powerful, scalable gradient boosting library known for accuracy and speed. Frequently used in real-world applications and competitive data science. |
| Association Rule Mining | Association rule mining uncovers relationships between variables in large datasets. It powers recommendation engines and customer insights in e-commerce and retail. |
Eligibility Criteria for Machine Learning Courses
To join the ML courses, you need to meet the eligibility criteria prescribed by the institution/university offering them. The eligibility criteria for Machine Learning courses in India may differ based on the level of the programmes (UG/PG).
However, generally, Machine Learning online courses demand the prerequisite of having the fundamental educational qualification of 10+2 and the free machine learning online training requires no qualification except the interest and passion to learn the topic. Here are the eligibility criteria for the UG and PG machine learning online course with certificate:
UG in Machine Learning Courses
You must have (10 +2) qualifications from a recognised state board in the science stream. Depending on the institute it could be merit-based or an entrance examination.
To get admission for B.Tech artificial intelligence
Entrance exams for UG Machine Learning courses
- JEE Main
- JEE Advanced
- SUAT (Sharda University Admission Test) (B.Tech & M.Tech)
PG in Machine Learning Courses
You must hold a Bachelor’s degree in Computer Science Engineering. After clearing GATE, (which can open doors to jobs as well as top institutes) you can gain admission to M. Tech (Artificial Intelligence) in some of the best institutes in India. However, some institutes have their specific evaluation (merit-based admission or entrance examination) as well for online machine learning courses.
Skills Required for Online Machine Learning Courses
Certain skills will help immensely the students learning machine learning as well as the professionals who work in a profile related to ML. These skills can be advantageous for the learners while taking the ML courses to get a deep understanding of the concepts.
They can nudge the machine learning engineers, data scientists and the like to outdo their peers and climb up the career ladder easily. Here are some of the skills required while taking the best machine learning courses:
- Adequate knowledge of programming languages
- Data Modelling
- Calculus
- Linear Algebra
- Statistics & Probability
- Technical skills
What Will You Learn From Online Machine Learning Courses?
What you will learn in the ML courses will completely depend upon which level programme you are pursuing. Beginner-level and free machine learning courses will talk about the fundamental aspects.
There are many UG and PG level certificate programmes on machine learning and it is also a specialisation in many of the degree programmes. In such advanced programmes, the students can learn advanced-level aspects and skills of machine learning. Here are some of the topics covered by the machine learning online courses.
- Programming languages (Python, Java)
- Data Analysis
- Deep Learning (with Keras and Tensorflow)
- Natural Language Processing
- Neural Networks
Popular Machine Learning Certification Courses
Many online course providers provide ML courses in India. There are also free machine courses available on many of the online learning platforms that are meant to provide a basic level of understanding of machine learning. The machine learning courses are provided by various providers like Coursera, EdX, IBM, Udemy and the likes.
Career Opportunities after Online Machine Learning Courses
Here are some of the profiles and job options the learners can opt for after the best machine-learning courses:
Machine Learning Engineer
You design machine learning systems. You develop AI software that predicts (for recommended searches, chatbots, and driverless cars) You also, apply algorithms to generate accurate predictions and resolve data set problems
Average Base Salary: Rs. 5,08,845/-
NLP Scientist
As a Natural language Processing Engineer, you provide machines with the ability to comprehend human languages. You create self-learning NLP applications. You convert natural data into reliable futures using NLP techniques for classification algorithms.
Average Base Salary: Rs. 9,82,629/-
Data Architect
You create Database solutions for storing and retrieving data. You also analyse the system for software requirements. You optimise the old and current database systems as well as coordinate with the rest of the team for future requirements.
Average Base Salary: Rs. 19,67,406/-
Scope after Machine Learning Courses
One of the top digital hubs in the world, India is becoming a honeypot for machine learning. As the world moves towards automation, there is a requirement for highly qualified professionals who can make the best solutions for machines.
According to Forbes, over 90 per cent of the world’s top businesses have invested in AI. Machine Learning is what it makes for machines to learn on their own. So coming to scope, Machine Learning Courses can open doors to the future.
Salary Trends in Machine Learning
The salary scale of machine learning engineers can vary as per your skills, the experience you have in the machine learning industry, the nature of the organisation you work for and the country you pursue your career.
The salary scale can get high when you muster up professional experience and skills over the years. The table shows the average base salary of a Machine Learning Engineer based on experience levels.
| Experience | Average Base Salary (Yearly) |
|---|---|
Less than 1 year | Rs. 5,08,845/- |
1-4 years | Rs. 6,90,687/- |
5- 9 years | Rs. 14,22,818/- |
10-19 years | Rs. 19,99,859/- |
**Source of Salary Details: Payscale
Note: The salary details may vary depending on experience, skills, company, location and the like.
Top Recruiters
As machine learning has implications in many varieties of industries, there is a great number of companies that recruit professionals skilled and certified in machine learning. Some of the popular recruiters hire skilled professionals who have completed the machine learning online course with certificate are given in the table below:
Talentica | Infopulse | Antworks |
Toros. | Iflexion | AlescoData |
MobiDev | Belitsoft | Unicsoft |
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