aster.cloud aster.cloud
  • /
  • Platforms
    • Public Cloud
    • On-Premise
    • Hybrid Cloud
    • Data
  • Architecture
    • Design
    • Solutions
    • Enterprise
  • Engineering
    • Automation
    • Software Engineering
    • Project Management
    • DevOps
  • Programming
    • Learning
  • Tools
  • About
  • /
  • Platforms
    • Public Cloud
    • On-Premise
    • Hybrid Cloud
    • Data
  • Architecture
    • Design
    • Solutions
    • Enterprise
  • Engineering
    • Automation
    • Software Engineering
    • Project Management
    • DevOps
  • Programming
    • Learning
  • Tools
  • About
aster.cloud aster.cloud
  • /
  • Platforms
    • Public Cloud
    • On-Premise
    • Hybrid Cloud
    • Data
  • Architecture
    • Design
    • Solutions
    • Enterprise
  • Engineering
    • Automation
    • Software Engineering
    • Project Management
    • DevOps
  • Programming
    • Learning
  • Tools
  • About
Machine learning | Water color painting of an artist learning
  • Featured

Making Sense of AI Buzzwords – Explanations of Machine, Reinforcement and Deep Learning

  • Dean Marc
  • July 25, 2023
  • 2 minute read

Machine learning, reinforcement learning, and deep learning are interconnected subfields of artificial intelligence, each with its unique methodologies, applications, and challenges. Here is a more detailed discussion on each of them, along with examples and resources for further study.

Machine Learning (ML).

ML is a subset of AI that focuses on the development of algorithms that enable computers to learn from and make predictions or decisions based on data. Machine learning is the process of training a model to learn patterns or make predictions from data without explicit programming. It encompasses various techniques and algorithms, including supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), and semi-supervised learning.


Partner with aster.cloud
for your next big idea.
Let us know here.



From our partners:

CITI.IO :: Business. Institutions. Society. Global Political Economy.
CYBERPOGO.COM :: For the Arts, Sciences, and Technology.
DADAHACKS.COM :: Parenting For The Rest Of Us.
ZEDISTA.COM :: Entertainment. Sports. Culture. Escape.
TAKUMAKU.COM :: For The Hearth And Home.
ASTER.CLOUD :: From The Cloud And Beyond.
LIWAIWAI.COM :: Intelligence, Inside and Outside.
GLOBALCLOUDPLATFORMS.COM :: For The World's Computing Needs.
FIREGULAMAN.COM :: For The Fire In The Belly Of The Coder.
ASTERCASTER.COM :: Supra Astra. Beyond The Stars.
BARTDAY.COM :: Prosperity For Everyone.

Examples:

● Linear regression for predicting housing prices.

● Support vector machines for image classification.

● K-means clustering for customer segmentation.

Reinforcement Learning (RL).

Reinforcement learning is a type of machine learning where an agent learns to make decisions by interacting with an environment. The agent takes actions and receives feedback in the form of rewards or penalties, with the goal of maximising its cumulative reward over time. RL algorithms, such as Q-learning and policy gradients, have been applied to various tasks like robotics, game playing, and autonomous systems.

Examples:

● AlphaGo and AlphaZero for mastering the game of Go.

● AlphaStar by Deep Mind that mastered the StarCraft II game.

● Deep Q-Network (DQN) for learning to play Atari games.

● Robotics applications, such as robotic arm manipulation and autonomous navigation.

Deep Learning (DL).

Deep learning is a subset of machine learning that uses artificial neural networks, particularly deep neural networks (DNNs), to model complex patterns and representations in data. DNNs consist of multiple layers of interconnected nodes or neurons, enabling them to learn hierarchical features and perform tasks such as image recognition, natural language processing, and speech recognition.

Read More  Mastering AI Quality For Successful Adoption Of AI In Manufacturing

Examples:

● Convolutional Neural Networks (CNNs) for object detection in images.

● Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks for text generation.

● Transformer models like BERT and GPT for natural language understanding.


For enquiries, product placements, sponsorships, and collaborations, connect with us at [email protected]. We'd love to hear from you!

Our humans need coffee too! Your support is highly appreciated, thank you!

Dean Marc

Part of the more nomadic tribe of humanity, Dean believes a boat anchored ashore, while safe, is a tragedy, as this denies the boat its purpose. Dean normally works as a strategist, advisor, operator, mentor, coder, and janitor for several technology companies, open-source communities, and startups. Otherwise, he's on a hunt for some good bean or leaf to enjoy a good read on some newly (re)discovered city or walking roads less taken with his little one.

Related Topics
  • AI
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • ML
  • Reinforcement Learning
You May Also Like
notta-ai-header
View Post
  • Featured
  • Tools

Notta vs Fireflies: Which AI Transcription Tool Deserves Your Attention in 2025?

  • May 16, 2025
college-of-cardinals-2025
View Post
  • Featured

The Definitive Who’s Who of the 2025 Papal Conclave

  • May 7, 2025
conclave-poster-black-smoke
View Post
  • Featured

The World Is Revalidating Itself

  • May 6, 2025
View Post
  • Featured
  • People

Conclave: How A New Pope Is Chosen

  • April 25, 2025
Getting things done makes her feel amazing
View Post
  • Computing
  • Data
  • Featured
  • Learning
  • Tech
  • Technology

Nurturing Minds in the Digital Revolution

  • April 25, 2025
View Post
  • Featured

Tariffs, Trump, and Other Things That Start With T – They’re Not The Problem, It’s How We Use Them

  • March 25, 2025
zedreviews-ces-2025-social-meta
View Post
  • Featured
  • Gears
  • Tech
  • Technology

What Not to Miss at CES 2025

  • January 6, 2025
deanmarc-apple-intelligence-oped-20241203
View Post
  • Featured
  • Insights
  • Technology

Apple Intelligence – Innovation Enabling Mediocrity?

  • December 3, 2024

Stay Connected!
LATEST
  • 1
    Just make it scale: An Aurora DSQL story
    • May 29, 2025
  • 2
    Reliance on US tech providers is making IT leaders skittish
    • May 28, 2025
  • Examine the 4 types of edge computing, with examples
    • May 28, 2025
  • AI and private cloud: 2 lessons from Dell Tech World 2025
    • May 28, 2025
  • 5
    TD Synnex named as UK distributor for Cohesity
    • May 28, 2025
  • Weigh these 6 enterprise advantages of storage as a service
    • May 28, 2025
  • 7
    Broadcom’s ‘harsh’ VMware contracts are costing customers up to 1,500% more
    • May 28, 2025
  • 8
    Pulsant targets partner diversity with new IaaS solution
    • May 23, 2025
  • 9
    Growing AI workloads are causing hybrid cloud headaches
    • May 23, 2025
  • Gemma 3n 10
    Announcing Gemma 3n preview: powerful, efficient, mobile-first AI
    • May 22, 2025
about
Hello World!

We are aster.cloud. We’re created by programmers for programmers.

Our site aims to provide guides, programming tips, reviews, and interesting materials for tech people and those who want to learn in general.

We would like to hear from you.

If you have any feedback, enquiries, or sponsorship request, kindly reach out to us at:

[email protected]
Most Popular
  • Understand how Windows Server 2025 PAYG licensing works
    • May 20, 2025
  • By the numbers: How upskilling fills the IT skills gap
    • May 21, 2025
  • 3
    Cloud adoption isn’t all it’s cut out to be as enterprises report growing dissatisfaction
    • May 15, 2025
  • 4
    Hybrid cloud is complicated – Red Hat’s new AI assistant wants to solve that
    • May 20, 2025
  • 5
    Google is getting serious on cloud sovereignty
    • May 22, 2025
  • /
  • Technology
  • Tools
  • About
  • Contact Us

Input your search keywords and press Enter.