Read this introductory list of contemporary machine learning algorithms of importance that every engineer should understand.
Source: Kdnugget
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For data science beginners, 3 elementary issues are given overview treatment: supervised vs. unsupervised learning, decision tree pruning, and training vs. testing datasets.
Source: HOB10863
Machine learning is changing the way we do things, and it has started becoming main-stream very quickly. While many factors have contributed to this increase in machine learning, one reason is that it is becoming easier for developers to apply it. And, that is through open source frameworks.
Source: HOB8421
Here are 10 machine learning courses to help with your spring learning season. Courses range from introductory machine learning to deep learning to natural language processing and beyond.
Source: HOB9510
While there are many books and resources available online to provide you some concepts you need in Statistics, I have come here with the best 5 books that I personally have found useful for me and several of my peers in Data Science. I am pretty sure they will help you a lot.
Source: HOB6687
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