Machine learning, also referred to as ML, is a subdivision of artificial intelligence that concentrates on designing algorithms and mathematical models for machines to learn and enhance their performance without requiring explicit programming for every task.
By detecting patterns in data and evaluating feedback from the surroundings, machines can construct mathematical models used to make real-time decisions instead of adhering to a predefined set of instructions.
ML has extensive applications across various domains, such as medicine, engineering, data science, robotics, marketing, and security. Some typical examples of ML applications include recommender systems and data analysis.
Machine Learning has several advantages across different domains, including:
In conclusion, Machine Learning enables machines to learn and enhance themselves independently and is a valuable tool for organizations aiming to utilize data to make informed decisions and streamline their operations.
The Sales Glossary is a compendium of all the most commonly used terminology in sales strategy. Many of the concepts listed here are used when implementing a CRM system or a digital sales funnel, no matter if they are legacy systems or an online CRM. See also our blog that deals with sales techniques, marketing and sales culture.