Machine Learning is one of the popular career choices for the millennial generation. According to the popular job portal Indeed, Machine Learning is the best job for 2019 and anybody pursuing machine learning course can easily get a high remuneration with 344% growth in average base salary. Machine learning involves the use of artificial intelligence and it enables the machines to perform the task without programming them. The process begins with adding data to the machine using different algorithms. The choice of algorithm depends on what kind of data do we feed and what kind of task one needs to automate. Now, that we have understood the basics of machine learning lets study various career alternatives that one can pursue after taking up a machine learning course in Mumbai.
Career Paths to pursue after doing machine learning training
Machine Learning is a popular option as it reduces human efforts and improves productivity by automating machines to work themselves. There are several career paths in the machine learning course in Mumbai that one can select and is well-paying like machine learning engineer, data scientist, NLP scientist, to name a few.
Machine Learning Engineer
A machine learning engineer needs to have a strong grasp over programming languages like Python, JAVA and Scala. They should have adequate knowledge of machine learning libraries like programming, probability, statistics, data modeling, machine learning algorithm, etc. There is a difference between machine learning engineer and data scientist. A data scientist is responsible to analyze the data to produce the actionable results. They are then further used by the business executives to create a strategy. On the other hand, the machine learning engineer analyzes the data without any supervision. In simple words, data scientist yields output for human while machine learning engineer feeds data for the machines.
After doing machine learning training in Mumbai , you can easily become a data scientist. It is labeled as one of the highest paying jobs. As a data scientist, you are responsible to use advanced technologies like machine learning predictive modeling to infer a large amount of data to produce actionable insight. These are then used to make a business strategy. Machine Learning is an important skill that one needs to learn in order to become a data scientist. Apart from that, the candidate needs to know statistical research techniques. Also, knowledge of big data is important like Hadoop, Pig, Hive, Spark, etc. The candidate also needs to have in-depth learning of SQL, Python, Scala, Perl, etc.
NLP signifies Natural Language Processing and it means the machines decoding the human language. This means the machines will talk to the human being in their own language. As a LP scientist, your responsibility is to make a machine learn the different patterns of speech and spoken words. This means the NLP scientist should have in-depth knowledge of spelling, grammar, syntax, and fluent programming skills. In the end, we would like to conclude that machine learning language is multi-dimensional and it can open gateway of opportunities for you.