Which Skills Are Required To Be An Artificial Intelligence Or Machine Learning Engineer?

Which Skills Are Required To Be An Artificial Intelligence Or Machine Learning Engineer?

Hello Learners…

Welcome to my blog…

Table Of Contents:

  • Introduction
  • Skills that are required to be an artificial intelligence or machine learning engineer
  • Summary
  • References

Introduction

In this post, we discuss all the skills that are required to be an artificial intelligence engineer or machine learning engineer.

as we know that artificial intelligence is a very wide field and in this field, there are lots of subfields, based on every job title we need some different skills.

Skills that are required to be an artificial intelligence or machine learning engineer

Here we list all the required skills that are good to acquire and will help us to grow in this field

Programming Languages

we can learn anyone from the given list as a beginner.

  • Python
  • Scala
  • C++

Programming Frameworks

  • Flask
  • FastAPI

Databases

  • MySQL
  • MongoDB

Libraries

  • NumPy
  • Pandas
  • Scikit-Learn
  • Matplotlib
  • Seaborn

Big Data Technologies

  • Hadoop
  • Hive
  • Spark

Machine Learning Frameworks

  • Tensorflow
  • Pytorch

Cloud Services

  • AWS
    • AWS Sagemaker
  • AZURE
  • GCP

Machine Learning Algorithms

  • Regression
  • Classification
    • Decision Tree
    • Random Forest
    • Support Vector Machine
    • Artificial Neural Networks
  • Clustering
    • K-Means
    • DBSCAN
  • Dimension Reduction
    • PCA
    • SVD
  • Ensemble Techniques
    • XGBoost
    • CatBoost
    • LightGBM

Deep Learning/Computer Vision

Traditional NLP

  • Bag of words
  • TF-IDF
  • Stemming
  • Lemmatization
  • Tokenization
  • POS tagging
  • Coreference Resolution
  • Dependency and Constituency Parsing
  • Named Entity Recognition

Natural Language Processing(NLP)

  • Natural Language Understanding(NLU) vs  Natural Language Generation(NLG)
  • Vector Space modeling and text representation techniques in NLP
  • RNNs
  • LSTMS
  • Sequence modeling and Attention mechanism
  • Transformers
  • BERT
  • GPT and their SOTA variants
  • Sequence modeling
  • Attention modeling
  • Text classification
  • Sentiment Analysis
  • Semantic similarity
  • Entity Extraction
  • Document summarization
  • Natural Language Inference(NLI)
  • Question-Answering
  • Machine Translation

Summary

These are the basic required skills that we have to learn and update with the latest technology. so we can grow and do some amazing work in the field of artificial intelligence and machine learning.

Happy Learning And Keep Learning…

Thank You…

References

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