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Functional Programming with F#

This course aimed at students with beginner to intermediate skill in F#, basic understanding of the F# syntax and a light functional understanding would be beneficial. You'll also need a computer with Linux, OSX or Windows with F# installed and an internet connection.

Have you wanted to understand how to 'do' machine learning or implement algorithms from a textbook in a programming language, or deploy a library to Nuget? Well, this course includes sections on machine learning using a mathematical theorem known as Bayes' Theorem.

What will we do?We will complete two F# project together,

  • We will start by creating a predictive text engine and deploy it to Nuget, while learning how to write some basic unit tests in FsUnit. We will explore every line of code together and point out all the important programming concept as we progress.
  • Then we will use Bayes' Theorem to classify spam messages using real world data. We'll build a command line application and parse command line arguments so that we can use our program on the command line.
  • What is f#?F# is a mature, functional-first language especially well suited to computer science, machine learning, distributed computing and web applications too. There really is no limit to what F# can do for you.

    We’ve structured the course to make learning all the material as easy and accessible as possible. We’ll challenge you to complete an F# programming task in every video to make sure you’ve got a great grip on all the concepts. But don’t worry, because after every challenge, we’ll also walk you through a solution line by line.

    We have structured the course to introduce you to some computer science concepts, but to also encourage you to spend your own time to gain further insights into the concepts we introduce you to.

    If you want to program with a language that has computer science at its heart and want to future proof your learning then this course is for you.

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    Udemy

    Rating 3.9 based on 14 ratings
    Length 3 hours
    Starts On Demand (Start anytime)
    Cost $11
    From Udemy
    Instructor Mark Gray
    Download Videos Only via the Udemy mobile app
    Language English
    Subjects IT & Networking
    Tags IT & Software Other

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    What people are saying

    According to other learners, here's what you need to know

    first part had in one review

    The first part had basically nothing to do with F#.

    give 5 stars in one review

    I give 5 stars because I really liked to see all the coding steps and liked to get an insight into the instructor's thought process while coding.

    had basically nothing in one review

    helpful if clarity in one review

    be helpful if clarity on fsunit and nunit version issues was in the class or something addended Why no introduction on how to get a dev environment setup?

    his hands dirty in one review

    I find this course ideal maybe not for an absolute beginner, but for someone who already played with the language a little bit and now wants to get his hands dirty.

    nunit version issues in one review

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    Research Scientist-Machine Learning $55k

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    Watson Machine Learning Engineer $81k

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    Software Engineer (Machine Learning) $116k

    Applied Scientist, Machine Learning $130k

    Autonomy and Machine Learning Solutions Architect $131k

    Applied Scientist - Machine Learning -... $136k

    RESEARCH SCIENTIST (MACHINE LEARNING) $147k

    Machine Learning Engineer 2 $161k

    Machine Learning Scientist Manager $170k

    Machine Learning Scientist, Personalization $213k

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    Udemy

    Rating 3.9 based on 14 ratings
    Length 3 hours
    Starts On Demand (Start anytime)
    Cost $11
    From Udemy
    Instructor Mark Gray
    Download Videos Only via the Udemy mobile app
    Language English
    Subjects IT & Networking
    Tags IT & Software Other

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