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Bhagirath Deshani
Bhagirath Deshani

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How to become a Machine Learning Engineer?

Step 1: Learn a Programming Language

  • Popular Programming Language for Machine Learning
  1. Python
  2. R Language
  3. C++
  4. Java
  5. JavaScript
  6. Go
  7. Shell

Step 2: Learn Mathematics for Machine Learning

  • Importance of Mathematics topics needed for Machine Learning
  • (15%) Algorithm and Complexity

  • (15%) Multivariate Calculus

  • (35%) Linear Algebra

  • (25%) Probability and Statistics

  • (10%) Others

  • Having a basic understanding of Probability and Statistics is important when it comes to mastering Machine Learning.

Step 3: Learn Core Machine Learning Algorithms

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

1. Supervised Learning Algorithm :

  • Regression
  • Decision Tree
  • Random Forest
  • Classification

2. Unsupervised Learning Algorithm :

  • Clustering
  • Association Analysis
  • Hidden Markov Model

3. Reinforcement Learning Algorithm :

  • Supervised & Unsupervised

    • Regression
    • Decision Tree
    • Random Forest
    • Clustering
  • Categorical

    • Classification
    • Association Analysis
    • Hidden Markov Model

Step 4: Learn the basic Libraries for Mathematics & Data Handling

  • TensorFlow
  • Keras
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Spark
  • NLTK
  • Theano
  • mxnet

Step 5: Learn Deep Learning

  • Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers.

  • These neural networks attempt to simulate the behavior of the human brain albeit far from matching its ability allowing it to “learn” from large amounts of data.

  • While a neural network with a single layer can still make approximate predictions, additional hidden layers can help to optimize and refine for accuracy.

  • Deep Learning Applications :

  • Law enforcement
  • Image Recognition
  • Financial services
  • Customer service
  • Healthcare
  • Automatic Machine Translation

Step 6: Start Working on Projects

  • Machine Learning Projects Ideas :

    • Amazon Product Review
    • Sentiment Analysis
    • Hate Speech Detection
    • COVID-19 Vaccine Analysis
    • WhatsApp Chats Analysis
    • Dogecoin Price Prediction
    • Social Media Ads
    • Classification
    • Spotify Recommendation System
    • Bankruptcy Prediction Model
    • Instagram Algorithm
    • Netflix Data Analysis

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