![]() Machine learning programs can perform tasks without being explicitly programmed to do so. Other times, they can be more nuanced, such as "X% of families have geographically separate species with color variants, so there is a Y% chance that undiscovered black swans exist". These inferences can sometimes be obvious, such as "since the sun rose every morning for the last 10,000 days, it will probably rise tomorrow morning as well". Learning algorithms work on the basis that strategies, algorithms, and inferences that worked well in the past are likely to continue working well in the future. In its application across business problems, machine learning is also referred to as predictive analytics. Some implementations of machine learning use data and neural networks in a way that mimics the working of a biological brain. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Ī subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers, but not all machine learning is statistical learning. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. The decision was taken not to alert customers given the outcome of our investigation which found the tapes were most likely disposed of.Machine learning ( ML) is a field devoted to understanding and building methods that let machines "learn" – that is, methods that leverage data to improve computer performance on some set of tasks. This was a very difficult decision to make for our company and for me personally, however, we felt this decision had to be made to prevent any potential risk for our customers. It depends on how much trust you have built up with them, how we structure everything this week and focus on winning that game. ![]() The leaders on the team are going to make that decision. The ownership of this team is with the players, i don’t believe that’s in my court. The outcome of the justice system may not be fast but hopefully it is fair, when you ask for justice, it's not just based on a verdict and a decision that you want. Every one of them is based on science, real science. None of these steps we're asking people to take are political statements. The trait of resoluteness as evidenced by firmness of character or purposeĬonclusiveness, conclusion, decisiveness, finality, determinationĮvery decision we make matters. "the team dropped three decisions in a row" "had little trouble in taking a unanimous decision over his opponent" ![]() (boxing) a victory won on points when no knockout has occurred "a decision unfavorable to the opposition" "his conclusion took the evidence into account" "satisfied with the panel's determination" "the burden of decision was his" "he drew his conclusions quickly"ĭecisiveness, termination, determination, end, conclusion, finish, ending, ratiocination, close, finis, finale, stopping point, finding, closing, purpose, lastĪ position or opinion or judgment reached after consideration The act of making up your mind about something Princeton's WordNet Rate these synonyms: 3.7 / 3 votes
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