Want to learn machine learning but don’t know where to start? Don’t worry, and we’ve got your back. We are launching upStart, an exclusive ecosystem from upGrad, which allows you to study through free courses. You can enroll in upStart’s machine learning course for free and start your learning journey today. The only investment you’d only have to make is 30 minutes per day for a few weeks to complete the course.
This article will discuss why learning Machine Learning is crucial, why our free machine learning course is suitable for you, and what topics it covers. Let’s begin.
Why Learn Machine Learning?
Machine Learning has become a buzzword in the tech world. Companies are actively looking for ML experts because it offers multiple advantages to them. Accenture Research and Frontier Economics performed a study that found that the more AI is integrated into economic processes, the better its potential for economic growth. They found that AI can boost the profitability of businesses by an average of 38% by 2035. (Source)
Businesses recognize the potential Machine Learning and AI have. That’s why the demand for ML experts is continually on the rise. Machine Learning finds applications in many industries, including marketing, eCommerce, finance, entertainment, and many more. Learning this skill will undoubtedly help you become a sought-after professional and get a lucrative salary. Learn more about machine learning career in India.
Why Choose Introduction to Machine Learning Concepts from upGrad?
You might wonder why you should select upGrad’s Introduction to Machine Learning Concepts to study Machine Learning. Here are some advantages of our machine learning course for free that will help you decide in this regard:
1 to 1 Industry Mentorship
You get to study exclusively from a leading Machine Learning expert. It would allow you to remove any doubts regarding the subject matter.
Cutting Edge Content
All the courses are products of seasoned industry experts to ensure that you get to understand all the concepts as quickly as possible.
Weekly Live Lectures
Every week, you’ll get live lectures from your instructor. Live interactions help in streamlining the learning experience.
After you complete the machine learning course for free, you’ll get a certificate that will enhance your resume.
Must Read: Machine Learning Project Ideas for Beginners
What Will You Learn?
Machine Learning seems like one of the most complicated subjects in the tech sector, so our free Machine Learning course simplifies this highly challenging subject for you. It covers the fundamentals of Machine Learning and helps you understand them in detail. After completing this project, you’d know most of the basic Machine Learning concepts.
Our Machine Learning online course free lasts for six weeks, and covers multiple topics. You’d only have to invest 30 minutes per day for six weeks to become an expert at Machine Learning basics. The course allows you to remove a lot of doubts and confusion. Here is the course’s structure:
- Linear Regression
- Logistic Regression
- Recommender Systems
This structure ensures that you get to learn these concepts step by step. Let’s explore each one of these sections in detail:
Probably one of the most popular and well-understood algorithms, Linear regression is the first Machine Learning algorithm you’ll learn about in our course. Linear Regression allows you to determine the strength of the relationship between multiple independent variables and a dependent variable.
It’s the most straightforward Machine Learning algorithm and so, understanding its theory and application is crucial to learn about more ML algorithms.
You’d get to understand how this algorithm works, what it is, and where we use it in Machine Learning. Apart from Linear Regression, this section will teach you how to use some of the most popular ML tools, such as Python and Jupyter.
Python is a prominent programming language. In a ranking of multiple programming languages according to popularity from RedMonk, Python ranked at the second place. Knowing how to use this programming language is vital because it finds many applications in Machine Learning.
You’d use it to write ML models, perform predictive analysis, and many other tasks. Linear Regression has many real-life applications in various sectors, including agriculture, business, etc.
In this section, you’d learn about Logistic Regression, a technique to perform binary classification factors. It calculates the relationship between one or multiple independent variables and the categorical dependent variable through a logistic function.
It is a supervised learning algorithm and helps predict the probability of a specific variable. The target variable’s nature here is dichotomous. This means the variable can only have two possible classes. In simple language, the target variable is binary in nature and can either have 0 (stands for no) or 1 (stands for yes) in data.
Logistic Regression is among the simplest Machine Learning algorithms, but it has various applications in different industries. For example, it is used for detecting cancer and predicting diabetes in the medical field. In the tech sector, you can use it to detect spam.
However, before you apply Logistic Regression for such sophisticated applications, you must understand its basic concepts. This section of our free machine learning course will help you with the same.
In this section, you’ll learn about Clustering. It is a prominent Machine Learning method that allows you to group elements into different groups (called clusters) when you don’t have any pre-defined factors or labels to classify them. It is an unsupervised method, which means you’d need to draw references from data sources that don’t have labeled responses.
Clustering divides data points into several groups such that the data points present in one group are more similar to the others present in it. Also, the data points present in one group would be different from those present in another one.
Clustering is quite essential as it helps you determine the intrinsic grouping among your unlabeled data. You can use it to find unusual data points (also called outliers) to clean your data. On the other hand, you can use it to find suitable groups (also called useful classes) in your available data.
Clustering has many applications in various industries. Marketing, insurance, geology, management, and multiple other sectors utilize this powerful Machine Learning method. Some of its applications include anomaly detection, market segmentation, image segmentation, statistical data analysis, and social network analysis. Still, to understand its application correctly, you’d need to know the basics of Clustering first. This section of our free machine learning course will help you with the same.
This is the final segment of our machine learning online course free. Here, you’d get to know what a recommender system is and how it works; you’ll understand what ML algorithms recommendation engines use and how eCommerce platforms utilize this technology.
Recommender systems are one of the most popular Machine Learning applications. Amazon, Flipkart, Netflix, Facebook, and many other digital service providers use this technology to enhance user experience.
A recommender system is created to suggest products (or services) to the user according to their past interaction with the platform. They suggest things that the user is more likely to purchase or interact with than others. Recommender systems consider many factors while offering something to a user, such as a user’s past purchases, the product (or service) the user is currently viewing, the product present in the user’s wishlist, etc.
They are highly complicated, and to understand them properly, and you should know the basic concepts. You will learn about the same in this section of our free machine learning course.
How to Start
To join our machine learning online course free, follow these simple steps:
- Head to our upStart page
- Choose the course you want to join
All the courses present on our upStart page are available for free and don’t require any monetary investment. These courses help you kickstart your learning journey and get acquainted with the fundamentals of such complicated subjects.
Sign up here to join our free machine learning course today.
If you have any questions or suggestions, please let us know through the comments. We’d love to hear from you.