Data is transforming everything we do. All organizations, from startups to tech giants to Fortune 500 corporations, are racing to harness the immense amounts of data generated unknowingly every day and put it to use for key decisions. Big and small data is reshaping technology and business as we know it and will continue to do so (in the near future at least).

The state of Machine Learning in companies and in your daily life machine Learning is no more just a mere niche of the tech world but is a new field of work and research altogether. Tech experts have been increasingly making use of Machine Learning over the years. Surge pricing at Uber, Walmart product recommendations, Social media feeds displayed by both Facebook and Instagram, Google Maps, detecting financial fraud at financial institutions etc – all these and many more functionalities are now being performed with the help of powerful Machine Learning algorithms, increasingly without human interference.Every individual is making use of one or the other product of Machine Learning, whether he knows it or not. In such a scenario, learning about Machine Learning is an inevitable step that any professional, especially someone involved in the field of Information Technology and Data Science, must take in order to not become irrelevant.

Some of the benefits of learning Machine Learning include the following:

1. It reels in better job opportunities: According to a report published by Tractica, services driven by Artificial Intelligence were worth $1.9 billion in the year 2016 and this number is expected to rise to the neighbourhood of around $19.9 billion by the end of the year 2025. Machine Learning is the bandwagon that every corporation in the world is hitching its wagon to. With each industry in the world looking at expansion in the domain of Machine Learning and Artificial Intelligence, a knowledge of the same is bound to attract more and brighter career opportunities in the present scenario and in the future as well.
2. Machine Learning engineers earn a pretty penny: The valuation of a Machine Learning expert can be compared to that of a top NFL quarterback prospect. According to a study published by SimplyHired.com, the average income of a machine learning engineer is pegged at $142,000, whereas an experienced machine learning engineer can earn up to $195,752 per year.
3. Demand for Machine Learning skills is only increasing: There exists a huge gap between the demand and the availability of Machine Learning engineers. This skill gap is increasingly being lamented by the Chief Information Officers (CIOs) of some of the biggest corporations around the world. What this means, essentially, is that the demand as well as the pay for professionals with Machine Learning skills is only going to increase in the future.
4. Most of the industries are shifting to Machine Learning:  Most industries in operation around the world are dealing with a humongous amount of data that is only increasing every single day. The benefits reaped by a thorough analysis of this data is a fact that companies are fast taking cognizance of By gleaning insights from this data, companies are looking to work more efficiently and competently, as well as gaining an edge over their competitors.
   At such as time, all industries from the financial services sector to government agencies, the healthcare industry and oil and gas mega-corporations to the transportation sector – every industry is a ripe field for work in the field of Machine learning.

Machine learning is a huge field which is expanding day by day due to its diverse and open culture. However, we can assure you that self- learning ML will be effective as long as you are motivated and keep these points in mind

• You will learn practical skills faster and learn to implement them through hands-on learning more easily than by going through research papers and textbooks or learning to derive proofs. In the real world, you will never actually be required to derive a proof but will be asked to understand and make the best use of available data.
• You will be building your profile as an ML enthusiast along the way as you keep building on projects. Projects are the best way to attract employers and when we self start, the best way to test our skills is to simply implement them through a project.

Below are the steps you can follow:

1. Structural Plan: At the outset, you need to create a structured plan on the topics that you must familiarize yourself with first and what can be learnt later.
2. Prerequisite:  Pick a programming language you are comfortable with and start polishing your mathematical and statistical skills as ML involves dealing with statistical data.
3. Learning: Start learning according to the plan created in step (1). Refer to various reliable sources online or from books. Understanding the workflow of ML algorithms is a must.
4. Implementation: We can never truly learn unless we learn how to implement our skills. Try to build projects which use the algorithms you learned. Take datasets from the internet and start solving problems, and take part in online competitions such as Kaggle to learn more.What is most important is that you keep on tackling ML problems on a regular basis so as to polish your skills and incorporate out of the box thinking in an otherwise simple solution.

Yes, Machine Learning does require some coding skills. This ML using Python course will cover OOPs concepts, data structure, and algorithms. Machine Learning uses Python, C++ and Java as the most popular programming languages.

No doubt! Machine Learning is in high demand, and at the same time, employers need professionals who have the right skills for building applications for the future.
Here, at Intellipaat, we have created our program by acknowledging the fact that our learners come from varied backgrounds. So, we curate it from the basic level and gradually increase the difficulty level for them to easily grasp all the concepts taught as part of the program. Further, we make sure that, by the end of the program, the learners’ skills would be equivalent to 6-month experience in this technology.

Some of the top job roles in the field of Machine Learning are

Mentors Pool best Machine Learning course gives you all the necessary skills to become eligible for such roles.

Machine learning is a popular and fast-growing career in computer science. It is constantly evolving and growing and you can apply it to many industries, including shipping and fulfillment, as well as medical sciences. Machine learning engineers create artificial intelligence to better recognize patterns and solve problems. It is a highly sought-after career option, but it can be very competitive. Machine learning engineers who are interested in becoming certified can distinguish themselves from their competition by attending boot camps, submissions of code repositories and hands-on experience.