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Machine Learning limitations and reasons Machine Learning program often fail to deliver expected results because – lack of suitable data lack of access of data data bias privacy problems badly chosen …

Supervised Learning: You have labeled data and you are trying to predict a label based off of known features and uses patterns to predict values. Unsupervised Learning: You have unlabeled data and …

Basic Machine Learning Algorithms Decision trees Linear Regression Neural Networks Reinforcement learning Types of ML algorithms Supervised Learning Semi-supervised learning Unsupervised learning Reinforcement learning Learning techniques Decision tree Feature learning …

Difference between Artificial Intelligence vs Machine Learning AI – Artificial Intelligence ML – Machine Learning AI stands for Artificial Intelligence ML stands for Machine Learning AI increases the chance of …

Machine learning is an application field of Artificial Intelligence (AI) that provides system the ability to automatically learn and improve from experience without being explicitly programmed. Machine Learning is a …

Steps of Linear programming Formulate the linear program. Construct graph, plot the constraint line. Determine the valid side of each constraint line. Identify the feasible solution region. Plot the objective …

Linear programming is a technique for the purpose of allocation of limited resources in an optimum manner. It is the technique used in optimum allocation of resource in the organization. …

Difference between CPM vs PERT CPM PERT CPM is activity oriented PERT is event oriented COM is used when the activity times are deterministic PERT uses a probabilistic times One …

Fulkerson’s Rule – Numbering of events The initial event which all outgoing arrows with no incoming arrow is numbered ‘a’ Delete all the arrows coming out from node ‘1’ Delete …

Difference between Programmed I/O vs Memory Mapped I/O Programmed I/O Memory Mapped I/O Processor has to check each I/O device in sequence and in effect ‘ask’ each one if it …