Can machine learning provide ability to automatically learn and improve from experience without being explicitly programmed o Yes o no?
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| Papers (11) | Insight |
|---|---|
25 Citations | It can assist students in learning to operate this machine but without actually handling a real machine. |
| Machine learning, we may say, is a sort of artificial intelligence (AI) that gives machines the capacity to learn without being expressly customized. | |
| This article develops a novel mechanism to automatically find those features that most improve the quality of the machine learned heuristic. | |
33 Citations | In a machine learning context, these observations motivates us to ask whether this learning process could be computationally modeled to learn visual classifiers. |
75 Citations | Machine learning (Ml) is the study of computer algorithms that can learn complex relationships or patterns from empirical data and make accurate decisions.2 Rather than coding specific sets of instructions to accomplish a task, the machine is ‘trained’ using large amounts of data and algorithms that confer it the ability to learn how to perform the task. |
04 Dec 2014 24 Citations | Machine learning could be useful to support the robot to adapt to the environment and learn the correct navigation skills quickly. |
| Humans appear to be able to learn new concepts without needing to be programmed explicitly in any conventional sense. | |
83 Citations | Machine learning is the study of computer programs and algorithms that learn about their environment and improve automatically with experience. This approach thus contrasts with today's predominant approach of directly specifying at design time how the hardware should accomplish the desired goal. |
| Our results show that machine learning is presented as being universally applicable and that the application of machine learning without special expertise is actively encouraged. | |
| We conclude that integrating data-driven machine learning with human knowledge (common priors or implicit intuitions) can effectively lead to explainable, robust, and general AI, as follows: from shallow computation to deep neural reasoning; from merely data-driven model to data-driven with structured logic rules models; from task-oriented (domain-specific) intelligence (adherence to explicit instructions) to artificial general intelligence in a general context (the capability to learn from experience). | |
220 Citations | Machine learning includes a broad class of computer programs that improve with experience. |
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How do I get machine learning experience?11 answers