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Top 5 Machine Learning Algorithms: Best Algorithms You Must Know

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Machine Learning is disrupting the market rapidly. You already know, AI is affecting the way of Production whether for Software, Auto Mobile unit, or any other sector. I am no kidding, Each Industry must have some opening for Data Scientist and Machine Learning Engineer. Do you also want to be future-ready for Machine Learning? Are You looking to learn the Machine Learning algorithms?


Which machine learning algorithm should I use?

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A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is "which algorithm should I use?" Even an experienced data scientist cannot tell which algorithm will perform the best before trying different algorithms. We are not advocating a one and done approach, but we do hope to provide some guidance on which algorithms to try first depending on some clear factors.


13 Algorithms and 4 Learning Methods of Machine Learning

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13 Common Algorithms of Machine Learning. 1) Regression algorithm. Regression algorithm is a type of algorithm that tries to explore the relationship …


Which machine learning algorithm should I use?

#artificialintelligence

A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is "which algorithm should I use?" Even an experienced data scientist cannot tell which algorithm will perform the best before trying different algorithms. We are not advocating a one and done approach, but we do hope to provide some guidance on which algorithms to try first depending on some clear factors. Click on the picture below to zoom in. To read more, click here.


Top 10 Machine Learning Algorithms

#artificialintelligence

This was the subject of a question asked on Quora: What are the top 10 data mining or machine learning algorithms? Some modern algorithms such as collaborative filtering, recommendation engine, segmentation, or attribution modeling, are missing from the lists below. Algorithms from graph theory (to find the shortest path in a graph, or to detect connected components), from operations research (the simplex, to optimize the supply chain), or from time series, are not listed either. And I could not find MCM (Markov Chain Monte Carlo) and related algorithms used to process hierarchical, spatio-temporal and other Bayesian models. My point of view is of course biased, but I would like to also add some algorithms developed or re-developed at the Data Science Central's research lab: These algorithms are described in the article What you wont learn in statistics classes.