Know how to Get Started with Machine Learning


Machine learning has got off the ground and it’s taking every industry by storm, bringing new insights to businesses that aid them in taking result oriented actions. If you want to be in demand, you need to learn this skill in order to separate yourself from mere data analysts. Getting started with machine learning can be intimidating for many of us, but it’s surprisingly easy to learn machine learning if you approach it in a right manner.



Believe it or not, Machine learning (ML) is a compelling field of study that’s why it is quite easy for a novice to get fascinated. It’s what that has given birth to handwriting recognition, face recognition systems, self-driven cars, navigation systems of drones of all kinds, robots that can clean your house, or the recommendation system behind YouTube and Netflix.

Before Starting, a Word of Caution for beginners

Machine learning (ML) is a vast field of study and is something of an advanced practice, and you’ll need to have not only sound knowledge of computer science (CS), but also know how to code in at least one of the popular programming languages. Here are some popular programming languages for Machine learning - Java, Python, C, R, and MATLAB.

#1 Take an Online Course from Top-Notch Institute

If you’re hungry to gain quality knowledge, you should take a beginner’s course in machine learning from any good institute. There are several good institutes in India that provide online ‘machine learning for beginners’ courses and training at reasonable prices. The best part of online machine learning training is that you can set the pace of learning depending upon your understanding and grasping power. Furthermore, an online training program can be completed by beginners in 12 weeks or less.

#2 Enroll and Participate in Online Competitions

Once your online training gets completed, you can enroll and participate in online competitions and win a handsome amount of money (If You Get Good at Machine Learning). Kaggle is a popular online platform (now a part of Google) for analytic competitions and predictive modeling, where researchers and business enterprises from across the world publish statistics, and post data sets for online competitors to find models using machine learning that will explain the data and make precise predictions.

Such online competitions have improved the search for the Higgs boson at CERN, gesture recognition software for Microsoft Kinect, and even made revolutionary advancements in the fields of medicine and biology. The best part of online competitions is that even if you don’t win money, you’ll get to learn a lot by participating and discussing the ins and outs of data modeling with other machine learning (ML) practitioners.

So, if you are planning to make a career in machine learning, it’s the right time to take a beginner’s course from a good institute.

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