Basics about ML By PAVITHRA M - August 12, 2021 FacebookTwitterPinterestWhatsApp Welcome to your Basics about ML _______ is a disadvantage of decision trees?Decision trees are robust to outliersDecision trees are prone to be overfitBoth A and BNone of the above _______ is a part of machine learning that works with neural networks.Artificial inteligenceDeep learningComputer visionAll of the above Overfitting is a type of modelling error which results in the failure to predict future observations effectively or fit additional data in the existing model. Yes/No?YesNoMaybeCan't say ________ is used as an input to the machine learning model for training and prediction purposes.FeatureFeature VectorBoth A and BNone of the above ______ is the scenario when the model fails to decipher the underlying trend in the input data.OverfittingUnderfittingBoth A and BNone of the above Which Language is Best for Machine Learning?HTMLJavaPythonC The supervised learning problems can be grouped as ______Classification problemsRegression problemsBoth A and BNone of the above The unsupervised learning problems can be grouped as _______.AssociationClusteringBoth A and BNone of the above Automatic Speech Recognition systems find a wide variety of applications in the _________ domains.Medical AssistanceIndustrial RoboticsDefence & AviationAll of the above The term machine learning was coined by _________James GoslingGuido van RossumArthur SamuelNone of the above Machine Learning can automate many tasks, especially the ones that only humans can perform with their innate intelligence.TrueFalse Features of Machine Learning are______AutomationBusiness intelligenceImproved customer experienceAll of these above Which machine learning models are trained to make a series of decisions based on the rewards and feedback they receive for their actions?Supervised learningUnsupervised learningBoth A and BReinforcement learning Time is Up!
