Learn more about artificialintelligence with this collection
Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
To wrap it up...
- AI refers to machines exhibiting human-like intelligence. There are several techniques for that, machine learning being one of the most prominent ones.
- AI’s ultimate goal is to develop a smart system to simulate human thinking and intelligence, while ML allows the machine to learn from data to give the desired output.
- While AI aims to make machines more human-like, ML helps in making machines learn like humans.
30
164 reads
MORE IDEAS ON THIS
Machine Learning as a part of a greater whole
Machine learning relies on defining behavioural rules by examining a set of data to find patterns. Since the main objective of ML is to enable machines to learn by themselves, given a set of data, it is merely a technique for realising AI.
33
190 reads
Narrow AI & General AI
Very broadly, AI can be divided into two: narrow AI and general AI.
1. Narrow AI systems handle singular or limited tasks. Also referred to as weak AI sometime...
37
271 reads
3 Categories of Machine Learning
- Supervised learning: It has a set of labelled data to train the model on. In a way, it means supervising a machine by providing a ton of information about a particular case and giving it the case outcome.
- Unsupervised learning:
39
207 reads
CURATED FROM
CURATED BY
Digital marketing at dentsu. Invested in the symbiosis of marketing, psychology, and design. Photographer at heart.
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Access to 200,000+ ideas
—
Access to the mobile app
—
Unlimited idea saving & library
—
—
Unlimited history
—
—
Unlimited listening to ideas
—
—
Downloading & offline access
—
—
Personalized recommendations
—
—
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates