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2. Practice (learning method) - Wikipedia

   en.wikipedia.org/wiki/Practice_(learning_method)

   Practice is the act of rehearsing a behavior repeatedly, to help learn and eventually master a skill.The word derives from the Greek "πρακτική" (praktike), feminine of "πρακτικός" (praktikos), "fit for or concerned with action, practical", and that from the verb "πράσσω" (prasso), "to achieve, bring about, effect, accomplish".

3. Distributed practice - Wikipedia

   en.wikipedia.org/wiki/Distributed_Practice

   Distributed practice (also known as spaced repetition, the spacing effect, or spaced practice) is a learning strategy, where practice is broken up into a number of short sessions over a longer period of time. Humans and other animals learn items in a list more effectively when they are studied in several sessions spread out over a long period ...

4. Exercise - Wikipedia

   en.wikipedia.org/wiki/Exercise

   Cycling is a popular form of exercise. Weight training. Exercise is physical activity that enhances or maintains fitness and overall health. It is performed for various reasons, including weight loss or maintenance, to aid growth and improve strength, develop muscles and the cardiovascular system, hone athletic skills, improve health, or simply for enjoyment.

5. 3 simple exercises you can do while traveling - AOL

   www.aol.com/article/lifestyle/2019/10/26/3...

   These three moves are easy to do in a small space (even in a hotel room!) and will help keep you in shape while traveling.

6. Interval training - Wikipedia

   en.wikipedia.org/wiki/Interval_training

   Interval training is a type of training exercise that involves a series of high-intensity workouts interspersed with rest or break periods. The high-intensity periods are typically at or close to anaerobic exercise, while the recovery periods involve activity of lower intensity. [1] Varying the intensity of effort exercises the heart muscle ...

7. Training, validation, and test data sets - Wikipedia

   en.wikipedia.org/wiki/Training,_validation,_and...

   In particular, three data sets are commonly used in different stages of the creation of the model: training, validation, and test sets. The model is initially fit on a training data set, [3] which is a set of examples used to fit the parameters (e.g. weights of connections between neurons in artificial neural networks) of the model. [4]