Which of the following best describes supervised learning in machine learning?
Supervised learning involves training a model using labeled datasets where the algorithm learns to map inputs to the correct output labels. Once trained, the model can predict labels for new, unseen data. It is widely used for classification and regression problems in machine learning. Why Other Options are Wrong: b) Clustering data without labels is unsupervised learning, not supervised learning. c) Continuous learning from feedback describes reinforcement learning. d) Interaction with an environment also refers to reinforcement learning. e) Time series prediction is a specific application of supervised learning but does not define it comprehensively.
In Banana, Which nutrient is given in largest amount through fertigation?
Soil testing provides
Diffused radiation contains____ percent of photosynthetically active radiation.
The light intensity at which photosynthesis and respiration are equal is called
This method uses microwaves and silica gel for fast and effective flower drying
The popular breed of poultry which belongs to Italy is _____.
Variations in moisture content result in the clay soil's characteristic swelling and shrinking. It is due to presence of ____________ mineral.
Seed rate (kg/ha) of Maize is
2*25 plough is move at speed of 5 Km/Hr how much time will it take to plough the field of size 300*300 meter if filed effiiciency of instrument is 60%
A method of asexual propagation in which a stem is made to produce roots while still attached to the parent plant is called