Firstly and most importantly we need to know what Machine Learning is. It is a science of getting computers to do tasks without being explicitly told to do so.
The technology has become so widespread that we do not even realise the number of times we use it in a day. It has provided us with numerous technologies such as effective web search, speech recognition, self-driving cars etc. Researchers in this field think Machine Learning is going to pave the way to human level AI.
So, why you should make a career in Machine Learning?
Machine Learning might be a great career move for you, especially if Artificial Intelligence and how it works fascinates you. It is through machine learning that Apple’s Siri and Microsoft’s Cortana came into being! Additionally, Machine Learning is responsible for providing you with recommendations of products on e-shopping sites like amazon or show recommendations on websites like Netflix. If the working behind these features excites you, then machine learning is where you should move your career graph to. Moreover, all corporate giants in some way looking to keep themselves updated in this field. They are building technologies that would bring them closer to Artificial Intelligence. Therefore, it would definitely be a good way to up skill yourself and move up in your career.
Let us find out skills you need to start a career in Machine Learning!
Basic Linear Algebra
It is one of the basic requirements to kick-start a career in Machine Learning. The basic knowledge of linear algebra would suffice at the beginning of your career. However, as you gain experience in this field, gaining more linear algebra knowledge would help set you apart.
Another aspect that is a necessity for a Machine Learning career would be programming. Learning languages like Python and R could be a great way to start off. These are the most used languages. Moreover, once you have formed a base in programming it would be easier and beneficial for you to learn more programming languages.
Statistics and Probability
Learning algorithms has its bases on statistics and Probability. It will be important for you to have a strong base in the concepts of statistics and probability.
Understanding the usage of Algorithms
It is possible that you would be aware of the most used algorithms. However, it is equally important to understand the usage of these algorithms. It would give you an added advantage if you are aware of what algorithms to use in which situation, such that the task is done optimally. It would help you if you gained hands on experience by trying out projects on sites like kaggle.
To know about the most used Machine Learning algorithms read our blog on ‘10 most popular Machine Learning algorithms‘
As a Machine Learning engineer you will be expected to modify the format of data sets such that it will be loaded in Hadoop, HBase etc. It is possible to do this with a language like python. However, it would be easier and efficient to do this in Unix tools that have been designed for tasks like these.
The skills above are a must have if you wish to establish yourself in the field of machine learning. If machine learning fascinates you and you want to read more about it have a look at our blog on ‘Machine Learning: A Beginner’s Guide’. However, if you already possess these skills and are trying to crack a job in this field go through our blog on ‘Machine Learning: Top 10 Interview Questions’.