Learn Machine Learning Algorithms - Deepstash

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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How To Give And Receive Constructive Criticism

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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

3 Categories of Machine Learning

  1. 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.
  2. Unsupervised learning

Transfer learning concept

The biggest problem, thoug h, is that models like this one are performed only on a single task. Future tasks require a new set of data points as well as equal or more amount of resources.

Transfer learning is an approach in deep learning (and machine learning) where knowledge is ...

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