Machine Learning is the science of making computers act without having to explicitly program them. They are programmed to learn from experience and automatically learn. The last few years has seen Machine Learning result in giving fraud detection, speech recognition, self-driven cars, accurate web searches and a constantly increasing understanding of the human genome. Machine Learning has become so pervasive that people use it even without know they do. Researchers are of the opinion that it is the best way to make progress towards Artificial intelligence that is human-level.
Why should you upskill to Machine Learning?
Whether we are aware or not, Machine Learning is piercing into almost every aspect of life and work – right from algorithmic trading to spam filters. Machine Learning plays a crucial role in several important processes like marketing and sales. Right from powering recommendation engines on biggies like Amazon, Google and Netflix that flash personalized content to performing complex functions like cybersecurity and financial trading, Machine Learning powers a range of functions. Machine learning is becoming a mainstay in almost all forms of technology, with over 50% of firms that have implemented it in their products. Organizations have been seeking employees that are armed with hands-on experience in the specialized skill of Machine Learning. This rapid pace of developments in Artificial Intelligence has started to disrupt industries. Technology is surely replacing old systems with innovative, agile tools but is impacting the jobs of many people. Even though the popular opinion is that Machine Learning will take over jobs entirely, the truth is that it creates jobs for the skilled – the start of a viable, high paying, promising career. As tech giants move on to Artificial Intelligence and Machine Learning, so should the skills of IT employees.
So far, lesser than 5% of all jobs are completely automated, 60% of jobs have 30% of processes that can be automated. This clearly indicates that humans are going to continue to guide machines and dominate tech jobs which need skills like emotional IQ, interpersonal skills, mobility and dexterity. This clearly indicates that as industries adapt to it, machine learning has and will always have a good number of job openings.
What does the Machine Learning Job Market look like?
A report from Gartner pointed out that in the next couple of years, Artificial Intelligence powered by Machine Learning is set to generate 2.3 million jobs that will exceed the 1.8 million jobs that it is meant to replace. This means that AI/ML will be a major job-creator. The field is set to create another 2 million jobs by the year 2025. In India alone, the demand for AL/ML experts has spiked by 60% in the year 2018.
At IIHT, course participants learn the most effective machine learning techniques and get practical experience while also learning to work on real life problems using best practices of the industry.
- Students are taught how to quickly and powerfully apply learnt techniques in real life-like projects.
- Students are able to implement and design various machine learning algorithms in a range of real-world applications
- Students will get hands-on experience in multiple, sought-after machine learning skills in Naives Bayes and Neural Networks.
- Industry experts for instructors giving you the best you can get to become industry ready
- Understanding algorithms in Machine Learning
- Blended learning methods to get optimal results and maximum participation from the students.
- Linear Regression: Students learn the implementation of linear regression and be able to predict continuous data values
- Students learn how to classify data points with the use of support vectors
Decision Trees: Students learn the tree-based model and its uses. For more details on IIHT’s Machine Learning Course, check-in: Artificial Intelligence and Machine Learning Course