Machine Learning: understand what it is and what its benefits are

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Machine Learning is a field that emerged by combining techniques from statistics and computer science so that machines learn from data article banner Share: Do you need innovation and digital transformation for your business? Find the best experts here at SIS Innov & Tech! Talk to Our Team You've certainly seen your smartphone's keyboard suggest words to complete your sentence or search engine suggestions that nailed what you were going to search for. All of this is the concept behind Machine Learning . Machine Learning is an area of ​​Artificial Intelligence that seeks to automate decision making. Its purpose is to make systems automatically detect patterns in data and thus learn to perform certain tasks, such as recommending films for a customer profile or becoming a chess champion.

But let's take it easy: how are Machine Learning and Artificial Intelligence related? The idea of ​​AI is to make machines “think” like us humans, in order to simulate human actions, such as perception, interaction with the environment, learning, etc. Machine Learning is a field of AI that gives machines the ability to learn without being explicitly programs. This ws data   learning occurs with the support of a set of methods that are capable of identifying complex patterns from a large amount of data. You might like: Virtual and Augmented Realities: discover the trends image of the author By: SIS Team October 5 , 2023 read more article cover Machine Learning is a great ally for companies: machine learning technology extracts meaningful information from raw data and provides accurate results that help solve complex problems.



Furthermore, Machine Learning allows organizations to transform vast amounts of raw data into actionable knowledge and intelligence that can be integrated into business processes and even day-to-day operational activities to respond to changing market demands. Its algorithms also help monitor network behavior for anomalies in real time, improving network security and performance. Thus, in cases of cybersecurity threats and intrusions, measures are carried out automatically.

Where can Machine Learning be applied? Machine Learning, in turn, can be divided into three distinct types of learning: Supervised Learning, Unsupervised Learning and Reinforcement Learning . The most common application in companies' daily lives is predictive analysis, originating from Supervised Learning, which uses the database's history to make predictions and recommendations for future events. In this way, Machine Learning offers inputs for decision-making on medical procedures, helps manage stocks and supply chains by making predictions about supply and demand, and can make personalized recommendations for e-commerce and social media platforms.

Furthermore, it can also be used for image recognition, voice recognition and chatbots, route calculation, investment portfolio management in the financial market, email classification, market research, fraud identification and countless other fields of application. Machine Learning is a perfect ally for deeper insights and increased company efficiency, revolutionizing processes and eliminating human error, providing accurate results and leveraging your corporation! Later, when you access Spotify or Netflix, you already know how the suggestions that interest you are made!