With all the hype building around Machine Learning and Artificial Intelligence, sometimes students find it difficult to decide whether to perceive machine learning as a career choice, whether to obtain Machine Learning certificate or not. This article is supposed to be your guide to machine learning certification. At first, we’ll tell you what Machine Learning is and then explain why you should obtain a certification in the field.
What is Machine Learning?
Machine learning is a technique of data analysis that strives to automate the whole process of analytics as well as model creation. In other words, it allows your device to search for more info rather than program it to read and interpret fixed data. Basically, Machine Learning is a set of algorithms that create programs which can automatically learn from new pieces of information. Once designed, they don’t really need any humans to interferer. Some common applications of machine learning include the following: Spam filters, web search, finder systems, credit scoring, ad placement, fraud detection, computer vision, stock trading, and drug design.
Naturally, it is impossible to make models for every possible problem. So, the better idea is to program the machine to be intelligent enough to learn from itself. Machine learning is self-explanatory. Machines learn to do things that they are not explicitly programmed to do.
Uses of ML
Some of the uses of Machine Learning include:
- Data integration
- Data visualization
- Automatic learning machine
- Dashboard and BI
- Data engineering
- Automated, data-driven decisions
- Deployment in production mode
- Distributed architecture
Machine learning helps enhance the data science processes by making a provision for online learning, real-time testing, data analysis, data preparation, and even decision-making. Data science clubs connect algorithms from machine learning to provide a solution. Data science takes this activity with lots of ideas from basic mathematics, statistics and domain expertise.
Why you should choose Machine Learning as a career?
The estimated market size of Machine Learning Software’s and Applications in 2016 was estimated to be $1.03 Billion and it is expected to grow to more than 8 times in just 6 years to a total of $8.81 Billion in 2022. These sheer numbers easily suggest that machine learning is making its place throughout the world as technology is getting automated. This means there will be a sharp requirement of Machine Learning experts and professionals in the coming years.
Moreover to Forbes he machines learning patent has increased 34 per cent in the CAGR between 2013 and 2017, which is the third fastest-growing category of all the patents given so far. Besides, the International Data Corporation (IDC) estimates that the expenditure on AI and ML will increase from $ 12 billion in 2017 to $ 57.6 billion by 2021.
If that is not all when we look at the salary figures of ML and AI professionals we get a sense of what is the real deal. According to the latest industry estimates, an AI professional with an experience of 2-4 years can earn annually from $20,600 to $27,500. On the other hand, experienced professionals with 4-8 years can expect from $28,000 to $68,800. The salaries may vary from company to company.
If you’re looking for comprehensive Machine Learning Courses curated with the support and suggestions of leading Industrial Experts, you can take a look at the business analytics courses in Mumbai offered by Imarticus Learning. With a placement guarantee on the completion of certification and a broad range of alumni working for top companies such as Cognizant, Concentrix, ninja cart, Genpact, etc.
