Machine learning is the study of computer algorithms that can improve automatically through experience and the use of data. It is a type of artificial intelligence(AI) that allows software applications to become more accurate at predicting outcomes.
There are primarily four different types of machine learning- Supervised, Semi-Supervised, Unsupervised and Reinforcement.
In Supervised Learning, the machine is programmed by an example. The operator provides the machine learning algorithms with a known database that consists of desired inputs and outputs. The algorithm then must find a method to determine how to arrive at those inputs and outputs. While the operator knows the correct answers to the problem, the algorithm identifies patterns in data, learns from observations and makes predictions. The algorithm makes predictions and is corrected by the operator and this process continues until the algorithm achieves a high level of accuracy.
Semi-Supervised Learning is almost the same as Supervised Learning but it uses both labeled and unlabelled data. Labeled Data is the information that has meaningful tags so that the algorithm can understand the data, however, unlabelled data lacks that information. By using this combination machine learning algorithms can learn to label unlabeled data.
In Unsupervised Learning there is an absence of a human operator who knows the answers to the problems. Instead, the machine learning algorithms determine the correlations and relationships by analyzing the available data. The machine learning algorithm interprets large datasets and addresses that data accordingly. The algorithm tries to organise that data in some way to describe its structure.
Reinforcement learning focuses on a regimented learning process, where a machine learning algorithm is provided with a set of actions, parameters and end values. By defining the rules the machine learning algorithms then tries to explore different options and possibilities, monitoring and evaluating each result to determine which one is optimal. Reinforcement Learning teaches the machine trial and error. It learns from past experiences and begins to adapt its approach in response to the situation to achieve the best possible result.
Machine learning is a great career path with numerous job opportunities across the world. If you are interested in data, automation and algorithms you might be a good fit in the machine learning industry. A career in machine learning has a great base salary. The World Economic Forum stated that “ AI, machine learning and Automation will power the creation of 97 million new jobs by 2025”. So now would be a great time for you to kickstart a career in machine learning by doing a course in machine learning from Digifine. Digifine’s Data Science and Machine Learning program is one of the best machine learning training programs in Mumbai.
With the steady growth of machine learning technology the job profiles in the industry will also be increasing. There are numerous types of jobs available in machine learning.
Here are some of the best jobs in Machine Learning :
A machine learning engineer is an engineer that uses programming languages such as Python, Java, Scala etc. to run experiments with appropriate machine learning libraries. In order to become a machine learning engineer you need to have an undergraduate degree in at least one of the following subjects:
You can also learn professional machine learning from various machine learning courses online or by attending any machine learning institute. Digifine’s Data Science and Machine Learning program is one of the best machine learning training programs in Mumbai.
Machine learning can be applied in many industries working with large amounts of data, like financial services, retail, government, healthcare, transportation etc. In 2021, the average salary for a machine learning engineer in India is Rs. 8 lakhs per annum. According to Forbes, “ machine learning engineer jobs grew 344% between 2015 and 2018”.
Data scientists analyze large amounts of data to make valuable insights on where action can be taken. Data scientists conduct intensive research, solve problems and find meaning in the data associated with machine learning. They work in both the business and IT industry making them a valuable employee. To become a data scientist you need an undergraduate degree in at least one of the following subjects:
You can also become a professional Data scientist from various online data science courses or by attending a data science institute.
Digifine’s Data Science and Machine Learning program offers one of the best professional courses for Data Science among the data science institutes in Mumbai.
Some of the major skills that might help you build a career in this industry are Probability and statistics, Algebra and Calculus, Programming, Data visualization. An average salary for a Data Scientist in India is Rs. 6.9 lakhs per annum. Data Scientists were the number one job in the United States of America in 2020.
Machine Learning Designer
Machine learning designers are designers who develop human-like systems that machines can recognize and process. They help machines learn human knowledge. Some common examples of works of machine learning designer you can see are the recommendation page on various OTT platforms which recommends you content based on your watch history, algorithms of social media sites and numerous e-commerce websites that recommend you products depending on your purchasing history. To become a machine learning designer you need to have a degree in either Information Technology or Computer Science. You can also become a professional machine learning designer by doing a machine learning course online. Some major skills required for this job are UX design skills, Systems design, Communication skills and Research skills. An average salary of a machine learning designer in India is Rs. 6.7 lakhs per annum.
A computational linguist researches, creates and maintains models that help computers learn patterns of speech and acquire the capability of translating words into other spoken languages. This might be the perfect job for you if you are a fan of languages and technology. To become a computational linguist you need an undergraduate degree in at least one of the following subjects:
You can also become a computational linguist by doing a data science course online. Some major skills required for being a computational linguist are communication skills, mathematics and statistics, ability to speak more than one language, a strong understanding of syntax, spelling and grammar. An average salary for a computational linguist in India is Rs. 12.7 lakhs per annum.
Algorithm Engineer design, develop, analyze, evaluate, optimize, profile and implement machine learning algorithms. Their goal is to minimize the bridge between algorithm theory and practical applications of algorithms in Software engineering. You need to at least have an undergraduate degree in Computer science or Information Technology in order to become an algorithm engineer. An average salary for an algorithm engineer is Rs. 23 lakhs per annum.
The growth of Information technology has been exponential in the last fifty years across the globe. With every new innovation, technological advancements and creation of different industries give rise to a wide number of job opportunities in the IT sector, Machine Learning is an example of one such innovation. With the appropriate undergrad degree and the necessary skills one can make a successful career in the Machine Learning industry. In order to become a professional in the machine learning industry you can check out for various graphic designing courses online or from a machine learning training institute like Digifine. Digifine’s Data Science and Machine Learning program is one of the best courses for learning machine learning among the machine learning training programs in Mumbai.