Learn Machine Learning Algorithms
According to Google, “Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.”
It is the most crucial step in a life cycle of a data scientist where one has to build various models using machine learning algorithms and should be able to predict and come with the most optimum solution to solve any problem.
- Machine Learning By Andrew NG (Recommended)
- Deep Learning By Krish Naik
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A Guide On How To Become A Data Scientist (Step By Step Approach) - KDnuggets
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Machine learning & Artificial intelligence
Machine learning: Machine learning engineers develop and deploy machine learning models to solve real-world problems. They are in high demand by companies in a variety of industries, including technology, finance, and healthcare.
Artificial intelligence: A...
Effective machine learning algorithms
Some of the most effective machine learning algorithms beyond deep learning include:
- ‘random forests’ that create multitudes of decision trees to optimise a prediction;
- ‘Bayesian networks’ that use a probabilistic approach to analyse variables ...
3 Categories of Machine Learning
- Supervised learning: It has a set of labelled data to train the model on. In a way, it means supervising a machine by providing a ton of information about a particular case and giving it the case outcome.
- Unsupervised learning:
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