Machine Learning & Artificial Intelligence are the burning area of Computer Science. These two are correlated to each other, also develop the intelligent systems. But in some cases they both are treated different. Artificial intelligence is copycat of human intelligence, use two word “Artificial” and “intelligence”, Check Machine Learning and Artificial Intelligence Greater Noida under This Content.
The history of AI and machine learning:
The history of two technologies are deep-rooted in military science and statistics, with contributions from philosophy, psychology, math and cognitive science. Artificial intelligence initially set for making computers more useful and more capable
Amazon or Microsoft tackled similar projects.
An artificial intelligence field contains many subfields,
* Machine learning :It is a field in which we build analytical model using methods from neural networks, statistics, operations research and physics to find hidden insights in data.
* A neural network is a algorithm based on the working of human brain in which the data is fed to the network and the network then learns the parameters and starts predicting.
* Computer vision uses neural networks and deep learning architecture to recognize what’s in a picture or video where they capture images or videos as raw data in real time and interpret their surroundings. CV is widely used in self driving cars where the algorithm learns various parameters like the obstruction in the path or where the road is going to turn.
* Deep learning improves training techniques to learn complex patterns in large amounts of data. DL is widely used for speech recognition tasks and object detection.
* Natural language processing has ability of computers to analyze, understand and generate human language, including speech.
Artificial Intelligence uses all these techniques to solve actual problems.
Computer Scientist and machine learning pioneer ,Tom M. Mitchell defined “Machine learning is the study of computer algorithms that allow computer programs to automatically improve through experience.” Machine learning depends on small to large datasets by examining and comparing it and find common patterns and explore distinctions.
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