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Deep Learning
Deep learning is one of many approaches to machine learning. Other approaches include decision tree learning, inductive logic programming, clustering, reinforcement learning, and Bayesian networks, among others.
Deep learning was inspired by the structure and function of the brain, namely the interconnecting of many neurons. Artificial Neural Networks (ANNs) are algorithms that mimic the biological structure of the brain.
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Machine Learning
At its core, machine learning is simply a way of achieving AI. Arthur Samuel coined the phrase not too long after AI, in 1959, defining it as, “the ability to learn without being explicitly programmed.”
So instead of hard-coding software routines with specific ins...
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Artificial Intelligence
First coined in 1956 by John McCarthy, AI involves machines that can perform tasks that are characteristic of human intelligence.
- General AI would have all of the characteristics of human intelligence, including the capacities mentioned above.
- Narrow AI ...
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AI and IoT
- Machine learning and deep learning have led to huge leaps for AI in recent years. As mentioned above, machine learning and deep learning require massive amounts of data to work, and this data is being collected by the billions of sensors that are continuing to come online in the Internet of ...
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Effective machine learning algorithms
Some of the most effective machine learning algorithms beyond deep learning include:
- ‘random forests’ that create multitudes of decision trees to optimise a prediction;
- ‘Bayesian networks’ that use a probabilistic approach to analyse variables ...
Software: the golden age of AI
A lot of the excitement in AI has focused on deep learning, a machine learning technique that was popularized by a now famous 2012 Google project that used a giant cluster of computers to learn to identify cats in YouTube videos.
Deep learning is a descendent of neural net...
Deep Learning Of Human Keyboard Input
Google sees a typing error in one tenth of the billion plus searches every day.
Deep learning, AI and neural networks work to understand and correct our typing errors online, trying to figure out our input. The advanced language processing ensures that typos are taken care...
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