SKILLS REQUIRED TO BE A MACHINE LEARNING ENGINEER

Machine learning is a bliss to the mankind, this technology emphasizes on machines working independently and interpreting from the data without much human intervention or programming. Machine learning is regarded as complex field derived from Artificial intelligence, and intermingled with the pecs of the latter and other technologies like Data science. This explicit study of computer algorithms is based on sample data, with the aim to minimize the human effort and predict accurate decisions, to be kept in

comprehensive words it means that these machines can flawlessly recognize a visual scene, comprehend and understand words written in any natural language or perform any kind of action in the physical world. A machine learning engineer specializes in computer fundamentals and software developments unlike the Data scientists which have an eagle eye on obtaining insights from the data. To be a successful machine learning engineer it is very essential to have certain go to go skills that prove to be basic yet advanced. Such skills can be enlisted as follows:

Applied mathematics:

This is a much basic term learnt by all in high school, however the domain broadens if one wishes to specialize in ML. Mathematical formulas are required to write the correct algorithm for the data, maths is used to decide the confidence levels, set the parameters so on and so forth. A statistical approach is required in many ML algorithms which can be understood easily if the foundation is strong in math.

Computer Science Programming:

Being confident and familiar with various coding scripts like python, R, MATLAB, SQL is one such basic requirement. Apart from these it is very essential to have knowledge about data structures, algorithms and space time complexity. Studying python is an asset if you’re aiming at ML, being familiar with libraries like numpy and matplotlib will definitely be an icing on the cake.

Machine learning algorithms:

ML algorithms are a must to know before starting a career in machine learning, these are the essential head start that classify as a pre requisite. Some of the algorithms subsume: Linear regression, Logistic regression, Random forests etc. A first-hand knowledge of the programs will definitely smoothen the journey ahead.

Neural Networks:

Knowledge of neural networks is one among the most important skill. This is based on the neural path in the human brain. They have several layers that include an input layer this receives data from the outside world and makes it pass through multiple hidden layers, these then makeup the input into a data which is very much required for the output layer.