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Top 5 Machine Learning Algorithms: Best Algorithms You Must Know

#artificialintelligence

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?


Top Deep Learning Algorithms -- Machine Learning

#artificialintelligence

Deep Learning Algorithms are extremely popular and useful in Machine Learning. Deep Learning which is a branch of Artificial Intelligence has gained an enormous amount of acceptance due to its ability to perform tasks just like the human brain. Basically, its scientific computing methods are quite popular in different industrial sectors to solve complex problems. Deep Learning is a process where algorithms train machines with the help of examples. Here Deep Learning utilizes Artificial Neural Network to perform different tasks in an advanced computational way on a large amount of data.


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.


Machine Learning (11) - Machine Learning Algorithms: Explained!

#artificialintelligence

One question that always pops up in any machine learning problem: Which algorithm should I use? What do the algorithms do anyways? After briefly going over a typical machine learning process, we have a closer look at third step, i.e. building the model: What algorithms are out there? Which one should we use? One of Microsoft's Data Scientist, Brandon Rohrer, has written a nice three-part blog series on introducing data science with no jargon: Furthermore, there is one really neat cheat sheet created by Microsoft's Data Science team on when to use which algorithm: Finally, one last resource that I hihgly recommend: Top 10 data mining algorithms in plain English.


Top 10 Machine Learning Algorithms

@machinelearnbot

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.