Artificial Intelligence and Machine Learning Basics.

Easy to follow basic video about artificial intelligence and machine learning. Artificial intelligence (AI) refers to the ability of computers and other machines to perform tasks that would normally require human intelligence, such as recognizing patterns, learning from experience, and making decisions. There are several different types of AI, including narrow or weak AI, which is designed to perform a specific task, and general or strong AI, which is designed to be capable of performing any intellectual task that a human can.

Machine learning is a subfield of AI that involves using algorithms and statistical models to allow computers to learn and make decisions without being explicitly programmed. Machine learning algorithms analyze large datasets and make predictions or decisions based on that data. There are two main types of machine learning: supervised learning, in which the algorithm is trained on labeled data, and unsupervised learning, in which the algorithm must discover patterns and relationships in the data on its own.

Overall, artificial intelligence and machine learning are powerful tools that can be used to analyze and make decisions based on large datasets, and have a wide range of applications in fields such as healthcare, finance, and marketing.

Differences between artificial intelligence, machine learning, and deep learning.

Artificial intelligence (AI) refers to the ability of computers and other machines to perform tasks that would normally require human intelligence, such as recognizing patterns, learning from experience, and making decisions. There are several different types of AI, including narrow or weak AI, which is designed to perform a specific task, and general or strong AI, which is designed to be capable of performing any intellectual task that a human can.

Deep learning is a subfield of machine learning that involves the use of artificial neural networks, which are computer systems that are designed to mimic the structure and function of the human brain. Deep learning algorithms are particularly well-suited for tasks such as image and speech recognition, and have achieved state-of-the-art results on a variety of benchmarks.

Overall, the main difference between artificial intelligence, machine learning, and deep learning is the scope and focus of each field.

Artificial Intelligence Quotes

“Before we work on artificial intelligence why don’t we do something about natural stupidity?” ~Steve Polyak
“I am telling you, the world’s first trillionaires are going to come from somebody who masters AI and all its derivatives,and applies it in ways we never thought of.” ~Mark Cuban
“Artificial Intelligence is the new electricity.” ~Andrew Ng
“Once you trust a self-driving car with your life, you pretty much will trust Artificial Intelligence with anything.” ~Dave Waters
“Every serious technology company now has an Artificial Intelligence team in place. These companies are investing millions into intelligent systems for situation assessment, prediction analysis, learning-based recognition systems, conversational interfaces, and recommendation engines. Companies such as Google, Facebook, and Amazon aren’t just employing AI, but have made it a central part of their core intellectual property.” ~Kristian J. Hammond
“Machine intelligence is the last invention that humanity will ever need to make.” ~Nick Bostrom
“Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years.” ~Mark Cuban
“Artificial intelligence will be part of the home just like the light bulb.” ~SupplyChainToday.com
“Google will fulfill its mission only when its search engine is AI-complete. You guys know what that means? That’s artificial intelligence.” ~Larry Page
“The techniques of artificial intelligence are to the mind what bureaucracy is to human social interaction.” ~Terry Winograd