Skills that are
required to become a Machine Learning Engineer
Introduction to Machine Learning
Machine learning is an application of Artificial
Intelligence (AI) where it focuses on developing the systems in such a way that it will perform exactly like a human brain. Machine learning has the capability of
learning from its past experiences to perform better in the future. Now, what
is really interesting about machine learning that makes it the most interesting
one?
Ø The very first reason is
that machine learning has the ability to consume a large amount of data
virtually from unlimited sources.
Ø ML has a skill of
interpreting the past experiences for better outcomes and later interprets
them.
Ø Machine learning helps in
taking the correct decisions at the correct time as it consumes the data and
identifies the relevant data.
Now, what are the skills are there that are required to become a machine learning engineer?
The top 5 skills are;
MATH SKILLS
- The first skill to become a machine learning engineer is math skills and under that you should be familiar with probability, statistics, linear algebra and calculus.
- The need for knowing about probability & statistics is required because of machine learning is related to statistics.
- Concepts of probability and statistics theory like descriptive statistics, random variables, probability distributions and etc must be crystal clear.
- Next skill which is required is the coding skills. More than this knowledge of data structures, algorithms, and OOPS concepts is a must.
- Python, Java, R and C++ are three major programming languages that should be learned for machine learning.
- You can master in any of these languages according to your reference and along with these languages make sure to have a little knowledge of other languages as well.
DATA
ENGINEER SKILLS
- The other prerequisite to becoming a machine learning engineer is that you must have the ability to work with a huge amount of data, data processing, knowledge of SQL, ETL operations, data analysis, and visualization skills.
KNOWLEDGE
OF MACHINE LEARNING ALGORITHMS
- To become a machine-learning engineer, you must be familiar with several algorithms of machine learning such as decision tree, linear regression, logistic regression, random forest and many more.
AWARENESS
OF MACHINE LEARNING FRAMEWORKS
- In order to be a machine learning engineer you must be familiar with different machine learning frameworks as well such as scikit LEARN, TensorFlow, AZURE, SPARK, TORCH and CAFFE.
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