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Exploring AI Algorithms

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Exploring AI Algorithms

In machine learning, an algorithm is a set of rules given to an AI program to help it learn on its own. Well-constructed algorithms are the backbone of artificial intelligence that's actually intelligent.

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In my last AI article, we learned about neural networks and their implementations. Now, it's time to look into another popular topic related to artificial intelligence: algorithms. In machine learning, an algorithm is a set of rules or instructions given to an AI program, neural network, or other machine to help it learn on its own. Well-constructed algorithms are basically the backbone of artificial intelligence that is actually intelligent. In this month's AI round-up, we're going to be looking at the most popular AI articles on DZone, checking out the latest news in the world of algorithms, and helping you ensure that your decision tree isn't slower than an entmoot.

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PS: It may help to check out our AI glossary before diving into algorithms!


All About Algorithms

Check out the top five articles about algorithms on DZone below. These articles are best read in order, so follow along and enhance your algorithm knowledge!

  1. The Benefits of Learning Algorithms by Sarah Mestiri. Before you get too far into things, take a step back and consider why you actually want to learn about algorithms. (But trust me — you do want to!)

  2. 3 Machine Learning Algorithms You Need to Know by Eleni Markou. Next, let's learn about three major machine learning algorithms — decision trees, clustering algorithms, and linear regression — and the differences between them.

  3. Machine Learning Algorithms: Which One to Choose for Your Problem by Daniil Korbut. Now that you know about some different types of algorithms, check out this article to make it easier to choose the right algorithm for your use case.

  4. Visualizing Algorithms Before Implementation by Daniel P. Clark. Let's get a little more complicated now. Learn how to improve your code by visualizing algorithms and making your computer perform a given task in the most efficient way. 

  5. Algorithms and Data Structures for... Web Developers? by John Sonmez. Let's veer a little from the typical uses of algorithms and see how they can be put to use in web development. In this video, get an answer to the question, "How important is it for a web developer to know data structures and algorithms?"

PS: Are you interested in contributing to DZone? It's easier than ever! Check out our brand new Bounty Board, where you can apply for specific writing prompts and win prizes! 


Algorithms, All the Way!

Let's take it one step further and check out some resources, latest news, and more about algorithms from outside of DZone!


Dive Deeper Into Algorithms

DZone has Guides and Refcardz on pretty much every tech-related topic, but if you're specifically interested in algorithms, these will appeal the most to you. 

  1. Artificial Intelligence: Machine Learning and Predictive Analytics. Steer through the endless possibilities of AI with ease, all the while building ethically responsible technologies that improve and enhance our lives, with DZone's first-ever AI Guide! 

  2. Introduction to TensorFlow. In this DZone Refcard, learn about TensorFlow, an open-source library with a rich set of application programming interfaces for most major languages and environments needed for deep learning programs like sentiment analysis and object detection.


In the Algorithm Rhythm

Below are a few jobs related to artificial intelligence that may pique your interest. Check them out and apply today!

Machine Learning Developer
JP Morgan
Location: Anywhere!
Experience: Big data and big data toolset experience; experience working with large datasets to fuel machine learning algorithms. 

Senior Application Engineer, Payments
GitHub
Location: Redmond, WA, United States
Experience: Good understanding of efficient data structures and algorithms, as well as principles of object-oriented design; 5+ years software development experience shipping customer-facing products or online services.

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Topics:
ai ,algorithms ,machine learning ,deep learning ,clustering ,decision trees ,linear regression ,data visualization ,aws ,predictive analytics

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