The Frisky
  • Home
  • News
  • Health
  • Celebs
  • Movies
  • Love
  • Relationships
  • Style
  • Entertainment
  • Parenting
  • Royals
  • Travel
  • About Us
  • Latest
  • Contact Us
The Frisky
  • Home
  • News
  • Health
  • Celebs
  • Movies
  • Love
  • Relationships
  • Style
  • Entertainment
  • Parenting
  • Royals
  • Travel
Tech

Why learn probabilistic programming

by The Frisky June 14, 2019
by The Frisky June 14, 2019

Programming is probably one of the most sought-after professions nowadays, and there is definitely a very good reason for that. Let’s think of it this way. We live in a world that is driven by computers, and heavily reliable on machines in order to progress. So, what kind of person understands the way machines work the most? That’s right, someone who programmed them to work.

However, programming is something that can be used in many different fields of life, and solely because of that reason, the profession itself is also separated in a few different branches. When you say the term “a programmer”, you need to specify what kind of a programmer you think of. There are programmers who make smartphone applications, there are programmers who make video games, and there are programs that make artificial intelligence systems which serve as the “brain” for a robot.

Although all of these sound really interesting to talk about, today we are focusing on the type of a programmer that you’ve probably never heard about before. This article is entirely dedicated to probabilistic programming, so if you want to learn more about it, feel free to continue reading until the end. Here’s what you need to know.

Probabilistic Programming – Bayesian Machine Learning

Source: The Alan Turing Institute

In order to explain what Bayesian machine learning is, we first need to take a look at what actually happens in the more typical, or should we say traditional machine learning procedures. Click here if you want to learn more.

In almost all of the cases, the following three steps are being carried out.

Number one, defining a model. This usually happens by unknown model parameters specifying a family of functions or distributions.

Number two, picking a certain set of data that are required

Source: O’Reilly Media

And finally, running a learning algorithm, which means that we are going to use the data in order to choose a value for the unknown model parameters that we just mentioned.

So now that we’ve explained what happens in the typical machine learning procedures, let’s take a look at the Bayesian Machine Learning procedure. You will notice that it’s really similar, but with a few important modifications.

In the first step where we need to define a model, we use a so-called “generative” process for the data, which is basically a sequence of steps that is describing how the actual data was created.

Source: Dice Insights

Then, the data is viewed as observations from the previously mentioned generative process, and finally, after we run the learning algorithm, we get an updated belief about all of the parameters. Or, we can call this the new distribution of the parameters.

Most people are questioning the usefulness of the Bayesian Strategy, but it wouldn’t be so popular and widely used in many industries if it wasn’t effective. Although it is definitely not something that can be used over a day, it is really worth it to invest some time and effort in learning it entirely. Especially if you are someone who’s intrigued by this type of programming and probability calculations. As far as we’ve heard, probabilistic programming is highly valued and can help you start a very solid career that will definitely pay off, so if you are already interested in learning, we highly encourage you to do so.

applicationsBayesian Machine LearningBayesian Strategycomputerprobabilistic programmingprocedureProgramming
The Frisky

previous post
Here’s What Men Really Think of Women Who Swallow
next post
Secretive Latvian Billionaire’s Private Fund is Beating the Quant Funds

Related Posts

Does CoolSculpting Work on Belly Fat?

March 21, 2023

Finding Relief: How A Pain Catheter Can Help...

February 28, 2023

ITX PC Cases: A Brief Guide for Buyers

February 1, 2023

Recent Posts

  • Exploring the Best of Europe: A Guide to Urban Sightseeing

    March 22, 2023
  • What You Need To Know About Multivitamins: Do They Really Work?

    March 22, 2023
  • How Does a Live Casino Actually Work?

    March 22, 2023
  • How Online Casinos Use Technology to Ensure Fair Play

    March 22, 2023
  • 5 Best Tarot Reading Websites 2023 – A Gateway to Your Future

    March 22, 2023
  • 10 Best Makeup Sponges 2023 – Beauty Blender Battle

    March 22, 2023
  • Emerging Trends in the Marijuana Industry: What to Watch for in the Coming Years

    March 22, 2023
  • C Cup Breasts – Perfect C Cup Boobs Example, Comparisons & Best C Cup Bras

    March 22, 2023

Categories

  • Accessories
  • Animals
  • Anime
  • Art
  • Astrology
  • Beard Care
  • Beauty
  • Betting
  • Biography
  • Blog
  • Business
  • Buying Guides
  • Cannabis
  • Cars
  • Casino
  • CBD
  • Celebs
  • Children
  • Citizenship
  • Clippers
  • Clothes
  • Computer
  • Couple Time
  • COVID-19
  • Crime
  • Crypto
  • Culture
  • Design
  • DIY
  • Economics
  • Education
  • Entertainment
  • Environment
  • Family
  • Fashion
  • Featured
  • Food
  • Food & Drink
  • Furniture
  • Galleries
  • Gambling
  • Games
  • Gardening
  • Gifts
  • Girl
  • Gossip
  • Guide
  • Guys
  • Hair
  • Hair Care Tips
  • Hair Dryers
  • Hair loss
  • Hairstyles
  • Health
  • Highlights
  • History
  • Hobby
  • Home
  • Horoscopes
  • Hot Rollers
  • How to …
  • Industry
  • Internet
  • Interview
  • Law
  • Legal Advice
  • Life
  • Lifestyle
  • Love & Sex
  • Love Your Self
  • Makeup
  • Marketing
  • Medicine
  • Mind & Body
  • Money
  • Motorcycle
  • Movies
  • Moving
  • Music
  • Nails
  • Net Worth
  • News
  • Parenting
  • People
  • Pets
  • Photography
  • Products for Hair
  • Real Estate
  • Recipes
  • Relationships
  • Religion
  • Royals
  • SEO
  • Shopping
  • Skincare
  • Sports
  • Studying
  • Style
  • Super Stars
  • Tech
  • Technology
  • The Body
  • Tips
  • Tips & Tricks
  • Tools
  • Toys
  • Travel
  • Uncategorized
  • Vehicle
  • Video
  • VR
  • Wedding

Contact us:

santosmilewa [at] demotix.com

Footer Logo
  • About Us
  • Latest
  • Contact Us

© 2023 - All Right Reserved.

TheFrisky.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com. Amazon, the Amazon logo, AmazonSupply, and the AmazonSupply logo are trademarks of Amazon.com, Inc. or its affiliates.

We at TheFrisky participate in various affiliate marketing programs, which means we may earn commissions on products or services that we recommend or promote through our website. When you click on a link to purchase a product or service that we have recommended or promoted, we may earn a commission from the sale. This commission helps us maintain and improve our website and provide you with valuable information and resources.

The Frisky
  • Home
  • News
  • Health
  • Celebs
  • Movies
  • Love
  • Relationships
  • Style
  • Entertainment
  • Parenting
  • Royals
  • Travel
© 2023 - All Right Reserved.

TheFrisky.com is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com. Amazon, the Amazon logo, AmazonSupply, and the AmazonSupply logo are trademarks of Amazon.com, Inc. or its affiliates.

We at TheFrisky participate in various affiliate marketing programs, which means we may earn commissions on products or services that we recommend or promote through our website. When you click on a link to purchase a product or service that we have recommended or promoted, we may earn a commission from the sale. This commission helps us maintain and improve our website and provide you with valuable information and resources.