Introduction

Machine learning is a combination of futuristic and innovative ideas with technology. The main goal behind the concept of Machine Learning is to provide convenient and faster processing of things. It is no surprise that machines can perform tasks that can be very complicated for humans, on a large scale. Therefore, Machine Learning and Artificial Intelligence are two intertwined concepts that implement innovative ideas to drive the world towards newer and better methods of working in various fields like manufacturing, healthcare, etc.

Is Machine Learning still in demand in 2020?

The answer to this question is undoubted yes. Machine Learning is a well sought after area and is expected to be a highly in-demand field shortly too. Especially, after the pandemic, when human contact has become very difficult and dangerous, machines have proved to be a reliable and efficient source to get a variety of tasks done. Many robots have been built in the year 2020 itself, that use Artificial Intelligence and Machine Learning to perform tasks like carrying essential equipment to doctors.

Keeping the present scenario in mind, the demand for the best machine learning course has skyrocketed. This demand is supposed to go further up in the coming future.

 How to improve my Machine learning skills?

Machine learning has evolved to be a highly competitive field to enter with time. Almost everyone from fresher’s to even experienced professionals need to constantly update their skill sets based on what is currently in demand. However, with the increasing competition, the demand for Machine Learning jobs has also increased significantly. Therefore, with the right skill set and knowledge, you can secure a good job in this domain. Some of the aspects you can work on to improve your machine learning skills remarkably are:

• Mathematics: A lot of Machine Learning algorithms and concepts use basic mathematics. Therefore, a clear understanding of basic mathematical topics like calculus, statistics, linear algebra, probability, etc. comes in handy. You can refer to books that specifically target the concepts of mathematics used in Machine Learning or you can revisit the mathematical concepts you learned in school.
• Enroll in Machine Learning training online course: Learning ML while having a full-time job or college can be stressful. Enrolling in an online course allows you to schedule the learning time as per your convenience, as well as provides the added advantage of receiving quality education from almost anywhere in the world. There are many online courses and certification programs available. So, opt for the best course and start learning.
• Practice: This importance of practice in Machine Learning cannot be stressed enough. You must know how to implement theoretical knowledge and work your way through Machine Learning algorithms. Taking part in competitions like Kaggle can help you level up your skills. This will help you recognize your weak points as well as provide you with a clear idea of the concepts and skills you are proficient in.
• Refer books: You can refer to books to get an in-depth and thorough knowledge of Machine Learning. Books can prove to be a companion and help you learn and be proficient even in the most in-depth areas.
• Take up a project: This step is very crucial for beginners. The goal of Machine Learning is to provide convenience in human life. So, take up a Machine Learning project and build something, it could be anything for eg, a chatbot. This will allow you to execute your knowledge and work your way through various problems. Taking up a project allows you to gain essential experience that will prove to be an asset while working in a company.
• Get in touch: Explore the Machine Learning community and analyze the problems people face, learn from their experiences, try to solve the problems that other people have encountered during their work. This will help you implement your knowledge efficiently and provide a wider and more holistic knowledge of the practical applications of Machine Learning. Getting in touch with the Machine Learning community will also help you stay aware and updated with the latest developments in the field.
• Work on programming skills: It is important to know a minimum of one programming language as they are crucial to implementing the Machine Learning algorithms. Usually, Python is preferred because a wide variety of tasks can be performed by it relatively easily. So, clear knowledge and proficiency in programming are undeniably important.
• Use your skillset: Implement your skills to continuously build something using Machine Learning continuously. Machine Learning is a field that can be aced by passion and knowledge, therefore, invest your time and efforts rigorously in it.

Conclusion

The field of Machine Learning has evolved greatly and is used widely all over the world. Therefore, it is high time to learn and improve your Machine Learning skills.