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1. Introduction
An introduction to Applied Machine Learning
  • What is machine learning (ML)?
    What is machine learning (ML)?
    It's a sub-area of artificial intelligence that allows computers to self-learn without having to be explicitly programmed. ML essentially aims to understand patterns in large sets of input data and then predict outputs based on the models it generates.
  • How best to learn machine learning
    It's easy to get overwhelmed trying to learn machine learning. There's a lot to learn and too many resources that teach the same content in different and sometimes confusing approaches. It's also tough to learn everything about such a vast and rapidly evolving topic. Ideally, once you feel you've got a sound introduction to machine learning, figure out what specific area(s) you want to specialize in and do your own research.
  • The 7 Steps of Machine Learning
    Summary by Udara Jay
    How can we tell if a drink is beer or wine? Machine learning, of course!

    The goal of machine learning is to create a model that can answer a question correctly, most of the time.

    The 7 steps:

    1) Gathering Data
    2) Data preparation
    3) Choosing a model
    4) Training
    5) Evaluation
    6) Parameter Tuning
    7) Prediction
  • Andrew Ng: Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
Karma
This is our way of rewarding self-learners and those who contribute to curating knowledge on Alcamy.
  • How to earn more Karma?
  • Creating and teaching new topics
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  • Getting involved in discussions
  • Adding items to your Todo
  • Why should I earn more Karma?
  • Showcase your karma on your profile and standout wherever you go on Alcamys
  • Users with high karma are listed higher in activity feeds. i.e. Gain more exposure
  • Better chances at winning giveaways
  • As Reddit puts it: don't set out to accumulate karma; just set out to be a good person, and let your karma simply be a reminder of your legacy.
  • 3 steps to successful self-learning with Alcamy. 🤔
    Alcamy curates the most relevant learning resources under each available topics. Find something you're interested in.
    Browse around the topic and add all the resources your interested in (or the highest voted ones) to your Todo list.
    Then work through your list on your own time. We'll even make sure you follow through with a friendly notification if you fall behind.