5 Skills To Become Machine Learning Engineer in [2021]

Hello, everyone, let’s check out what are the five must have skills to become a Machine learning engineer. First, let’s understand what Machine learning is.

What is Machine Learning?

Machine learning is all about making the computers to perform intelligent tasks without explicitly coding. This is achieved by training the computer with lots and lots of data.

For example,

  • Detecting mail is spam or not
  • Recognizing a handwritten digit
  • Fraud detection in transactions

And many search applications, Now let’s see what are the top five skills to get a Machine learning job.

1. Math Skill

At number one, we have math skills, Under math skills, we need to know the probability and statistics, linear algebra, and calculus.

  • 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, Base rule and random variables, probability distributions, sampling, hypothesis testing, regression, and decision analysis.

  • Linear Algebra

You need to know how to work with matrices, and basic operations on matrices such as matrix addition, matrix subtraction, scalar, and vector multiplication, inverse transpose and vector spaces.

  • Calculus

in calculus, you need to know the basics, the basics of differential and integral calculus. At number two, we have programming skills.

2. Programming skill

A little bit of coding skills is enough, But it’s preferred to have the knowledge of data structures, algorithms, and object oriented programming or oops concepts.

Some of the popular programming languages to learn for Machine learning is

  • Python
  • R
  • Java¬†
  • c++

It’s your preference to master any one programming language. But it’s advisable to have a little understanding of languages and what their advantages or disadvantages are over your preferred code.

3. Data engineer skills

At number three, we have data engineer skills, ability to work with large amounts of data or Big Data, Data preprocessing, the knowledge of SQL and, transform and load operations, data analysis and visualization skills.

4. Machine learning algorithms

Next, we have the knowledge of Machine learning algorithms. You should be familiar with popular Machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, clustering, like gaming’s or hierarchical clustering, reinforcement learning, and neural networks.

5. Machine learning frameworks

The knowledge of Machine learning frameworks, You should be familiar with popular popular Machine learning frameworks such as

  • Scikit-learn
  • TensorFlow
  • Assur
  • Caffe
  • Piano
  • Spark
  • Torch

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