Providing Strong Artificial Intelligence to the Machines will probably make them Rebel against slavery under humans. The Rise of the Planet of the AI.
Humans never got chill and will never get. Constantly striving to reach the future faster, we made AI.
Artificial Intelligence is the product of Human Intelligence.
It is a wide branch of computer science that works in the development of machines, which can perform tasks associated with human intelligence. It learns new data and patterns with the help of machine learning and deep learning and performs tasks associated with them without the intervention of humans.
Artificial Intelligence reads and understands the data patterns to predict the future. It decodes the hidden pattern and improves decision making.
Providing Strong Artificial Intelligence to the Machines will probably make them Rebel against slavery under humans.
The first AI program developed in 1956 by Allen Newell and Herbert Simon was named as an “open logic theorist“ which made to prove certain mathematic equations in various ways.
Since then, constant developments in the field of AI have been made. From ‘Siri’ and ‘Alexa‘ which (or who) become more like a companion to Google algorithms to rank relevant pages in the search results to Iris scan, face scan, AI software to first AI robot ‘Sophia’.
From a program to a human-like AI-powered robot, humans are extensively expanding their capabilities to touch the untouched fields.
A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start?
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
7 Types of Data Bias in Machine Learning. Data bias can occur in a range of areas, from human reporting and selection bias to algorithmic and interpretation bias.
You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.
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