We’ve all heard of the possibilities of artificial intelligence, machine learning, and deep learning. There have been many situations where artificial intelligence has made a measurable impact on an organization, and there have also been situations where organizations have wasted millions of dollars on seemingly innovative technologies with no direct output.
So what is the difference between machine learning, deep learning, and artificial intelligence and how can they benefit your organization?
The three technologies tie together like a set of Russian Dolls – one nested within the next.
Deep learning is a subset of machine learning, which is a subset of AI.
What is artificial intelligence?
Artificial intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
In short: AI is any computer program that does something smart.
In artificial intelligence, machines mimic cognitive functions that are associated with human minds, such as “learning” and “problem-solving”.
What artificial intelligence can do:
- Recognize objects in images
- Navigate a map of the London Underground
- Transcribe speech better than professional transcribers
- Translate between languages
- Recognize emotions in images of faces
- Recognise emotions in speech
Science & medicine
- Discover new uses for existing drugs
- Spot cancer in tissue slides better than human epidemiologists
- Identify diabetic retinopathy (a leading cause of blindness) from retinal photos
- Analyze the genetic code of DNA to detect genomic conditions
- Detect a range of conditions from images
- Solve the quantum state of many particles at once
- Spot burglars in your home
- Write its own encryption language
- Predict social unrest 5 days before it happens
- Unscramble pixelated images
- Detect malware
- Verify your identity
- Anticipate fraudulent payment attacks before they happen
- Write music
- Design logos
- Come up with its own recipes
- Write sports articles for the Associated Press
- Write film scripts
- Recommend songs you’ll like
- Lip-read better than humans
- Optimize energy usage in air-conditioning units in Google’s data centers
- Write its own machine learning software
What is machine learning?
Machine learning is a subset of AI. That is, all machine learning counts as AI, but not all AI counts as machine learning.
Machine learning is an application of artificial intelligence that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. The process of learning begins with observations of data, such as examples, direct experience, or instruction, in order to look for patterns in the data and make better decisions in the future based on the examples provided. The primary aim is to allow the computers to learn automatically without human intervention or assistance and adjust decisions accordingly.
What machine learning algorithms can do:
Machine learning algorithms affect and benefit your life in many undetectable ways. They currently identify and eliminate spam from your inbox, select images for social media posts, curate content to appear in your social media timelines, monitor your credit score and help to prevent fraud. At LeanIX, we assess the usage of our SaaS product and help customers to optimally benefit from our EA management solution. Amazon uses machine learning algorithms to show you trustworthy reviews, Paypal uses it for transactional fraud detection, hotels benefit from real-time customer-specific strategic pricing, and top marketing firms use machine learning algorithms to gauge customer sentiments.
In short, machine learning optimization algorithms help your organization minimize error.
What is deep learning?
Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.
Deep learning can:
- Colorize black and white images.
- Add sound to silent movies.
- Automatic machine translation.
- Classify objects in photographs.
- Generate automatic handwriting.
- Generate image captions.
Want to find out more about machine learning and how to apply it to your organization? Download our white paper below.