# AI News, How to Learn a Machine Learning Algorithm

- On Tuesday, June 5, 2018
- By Read More

## How to Learn a Machine Learning Algorithm

The question of how to learn a machine learning algorithm has come up a few times on the email list.

In this post I’ll share with you the strategy I have been using for years to learn and build up a structured description of an algorithm in a step-by-step manner that I can add to, refine and refer back to again and again.

Desperate descriptions means resources such as the original descriptions of the method in the primary sources as well as authoritative secondary interpretations made of original descriptions in review papers and books.

like this approach because it defends the need to telescope in on a specific case of the algorithm from many possible cases at each step of the description while also leaving the option open for the description of variations.

Having a summary of usage heuristics collected together in one place can mean the difference of getting a good enough result quickly and running sensitivity analysis on the algorithm for days or weeks.

Other examples include the standard experimental datasets used to test the algorithm, the general classes of problem to which the algorithm is suited, and known limitations that have been identified and described for the algorithm.

You can start with a blank document and list out the section headings for the types of descriptions you need of the algorithm, for example applied, implementation, or your own personal reference cheat sheet.

Some examples where I have found this strategy practically useful include: In this last case, I turned my catalog into a book of 45 nature inspired algorithms which I published in early 2011.

You learned that algorithm descriptions are broken and the answer to learning an algorithm effectively is to design an algorithm template that meets your needs and to fill in the template as you read and learn about the algorithm.

- On Monday, September 23, 2019

**Tips To Write Effective Descriptions & Tags**

After you've uploaded a video, do you ever stared blankly at your screen, wondering what to put in your description and tag fields? Don't worry - this video will ...

**'The Algorithm' - How YouTube Search & Discovery Works**

Welcome to this series of videos on how YouTube's search & discovery system works. In this first installment, we talk about how our 'algorithm' follows the ...

**Algorithm using Flowchart and Pseudo code Level 1 Flowchart**

Algorithm using Flowchart and Pseudo code Level 1 Flowchart By: Yusuf Shakeel 0:05 Things we will learn ..

**Understanding the Algorithm API Tutorial**

This video aims to help familiarize viewers with Quantopian's IDE and its core functionality through the construction of a common investment strategy: long/short ...

**Quantum Algorithm - The Math of Intelligence #10**

Only a few days left to signup for my Decentralized Applications course! Quantum Computing offers hope for computing progress as we ..

**How to Make an Image Classifier - Intro to Deep Learning #6**

Only a few days left to signup for my Decentralized Applications course! We're going to make our own Image Classifier for cats & dogs ..

**Coding Challenge #42.1: Markov Chains - Part 1**

In Part 1 of this Coding Challenge, I discuss the concepts of "N-grams" and "Markov Chains" as they relate to text. I use Markova chains to generate text ...

**Encoding Categories**

Encoding Categories To be able to undertake machine learning, data needs to be formatted so that the machine learning algorithms can use it. This video shows ...

**Inside bias: Why so many companies make big hiring mistakes**

AI doesn't have to be scary. It can augment our intelligence, says venture capitalist and best-selling author Scott Hartley. What AI can also do is help us fight our ...

**IELTS task 1 writing flow chart example with structure part 1 of 2**

An IELTS writing task 1 by Flow Chart example with explanation - part 1 of 2. Follow us on Facebook at