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April 10, 2022 01:26 am GMT
Original Link: https://dev.to/codewithsom/how-to-become-a-machine-learning-engineer-k4l
How to become a Machine Learning Engineer?
1. Learn a Programming Language :
Popular Programming Languages for Machine Learning
- R
- Matlab
- SAS
- Python
- WEKA
- Excel
If you go with Python, you must learn sklearn for Machine Learning. Sklearn is a modern machine learning library written in Python.
2. Learn Mathematics for Machine Learning :
Importance of Mathematics topics needed for Machine Learning
- Linear Algebra - 35%
- Probability and Statistics - 25%
- Algorithm and Complexity - 15%
- Calculus - 15%
- Others - 10%
Having a basic understanding of probability and statistics is important when it comes to mastering Machine Learning.
3. Learn Core Machine Learning Algorithms :
Supervised Machine Learning :
- Regression :
- Linear Regression
Polynomial Regression
Decision Tree
Random Forest Model
Classification :
KNN
Trees
Logistic Regression
Naive-Bayes
SVM
Unsupervised Machine Learning :
- Clustering :
- SVD
- PCA
K-Means
Association Analysis :
Apriori
FP-Growth
Hidden Markev Model
Reinforcement Machine Learning
4. Learn the basics Libraries for Mathematical and Data Handling :
- Spark
- Pytorch
- Scikit-learn
- Keras
- Pandas
- mxnet
- Numpy
- NLTK
- TensorFlow
5. Learn Deep Learning
Original Link: https://dev.to/codewithsom/how-to-become-a-machine-learning-engineer-k4l
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