In this article we will discuss what are the 5 Must have skills to become Machine Learning Engineer.
What is Machine Leaning ?
Machine Learning in simple words, is all about making the computers to perform intelligent tasks without explicitly coding. This is achieved by training the computer with lots of data.
For example: Detecting whether a mail is spam or not, recognizing handwritten digits, Fraud detection in Transactions. etc..,
Lets have a glimpse of some of the must have skills to be a machine learning engineer :
Probability and Statistics :
Machine learning is very much closely related to statistics.
You need to know the fundamentals of statistics and probability theory,descriptive statistics, Baye's rule and random variables, probability distributions,sampling, hypothesis testing, regression and decision analysis.
You need to know working with matrices and some basic operations on matrices such as matrix addition, subtraction, scalar and vector multiplication, inverse, transpose and vector spaces.
Basics of differential and integral calculus.
A little bit of coding skills is enough. But its preffered to have the knowledge of data structures, algorithms and OOPs concepts.
Some of the popular programming languages to learn is Python, R, Java and C++.
Its your preference to master any one programming language. But its advisable to have a little understanding of other languages and what their advantages and disadvantages are over your preffered one.
Data engineer skills:
Ability to work with large amounts of data (big data),Data preprocessing, knowledge of SQL and NoSQL, ETL (Extract transfor Load), data analysis and visualization skills.
Knowledge of Machine Learning Algorithms:
Should be familiar with popular machine learning algorithms such as linear regression, logistic regression, decision trees, random forest, clustering (K means, heirarchichal), reinforcement learning and neural networks.
Knowledge of Machine Learning Frameworks:
Familiar with popular machine learning frameworks such as scikit learn, tensorflow, Azure, caffe, theano, spark and torch.
Published on : Feb 4, 2018