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Machine Learning is an application of Artificial Intelligence (AI) based around the idea that we should be able to give machines access to data and let them learn for themselves.

While Machine Learning technology has been in existence since 1952, the data-driven approach to Machine Learning didn’t come into existence until the 1990s.

Machine Learning is now among the technologies with the fastest advancements and is expected to reach the mainstream adoption in the next few years. Technological capabilities such as infrastructure and technical skills are also expected to advance to keep up with the growth of Machine Learning.

Machine Learning is widely used in data analytics as a method to develop algorithms for making predictions on data. This is why machine learning is related to linear algebra, statistics and probability. .  

Machine Learning is broadly classified into three types:

  1. Reinforcement learning – Computer program interacts with a dynamic environment, and it must perform a certain goal without guide or teacher.
  2. Unsupervised learningComputer is presented with inputs without desired outputs, the goal is to find structure in inputs.
  3. Supervised learning — Computer is presented with inputs and their desired outputs. The goal is to learn a general rule to map inputs to the output.

Machine Learning takes advantage of the ability of computer systems to learn from correlations hidden in the data; this ability can be further utilized by programming or developing intelligent and efficient Machine Learning algorithms.

Machine Learning – All About the Data

Machine Learning programming consists of algorithms. In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems. Algorithms can perform calculations, data processing, automated reasoning and other tasks.

In the field ofMachine Learning, algorithms are plentiful with more being produced all the time. Machine Learning algorithms essentially filter data into categories, which is achieved by providing a set of training examples, each set marked as belonging to one or the other of the two categories. The algorithm then works to build a model that assigns new values to one category or the other.

Of course, there is much more to learn about Machine Learning and AI – and Tonex can help. Tonex offers several AI (Artificial Intelligence) and Machine Learning courses to meet the needs of organizations or individuals.

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