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  • The Top 10 Algorithms Machine Learning Engineers Need to Know

    Read this introductory list of contemporary machine learning algorithms of importance that every engineer should understand.

    Source: Kdnugget
    23805
  • Data Science Basics: 3 Insights for Beginners

    For data science beginners, 3 elementary issues are given overview treatment: supervised vs. unsupervised learning, decision tree pruning, and training vs. testing datasets.

    Source: HOB
    15600
  • Machine Learning: Applications, Types and How Does it Work?

    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: HOB
    16599
  • Most Popular 10 Free Courses For Machine Learning & Data Science

    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: HOB
    18483
  • Master Data Science with these Top 5 Books of Statistics

    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: HOB
    14220
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