MS107 Accounting for Management
by Unit 1 Nature of Accounting Information {Book} Scope and Nature of Accounting VIEW Accounting Concepts VIEW Principles and Standards VIEW Accounting Cycles VIEW Journalization VIEW …
Tag: BCOM104 Business Laws
MS101 Management Process & Organizational Behaviour
Unit 1 Introduction to Management {Book} Meaning and Nature of Management VIEW Evolution of Management VIEW Managerial Function VIEW Skills, Tasks and Responsibilities of a …
BBA113 Entrepreneurial Mindset
Unit 1 Introduction {Book} The entrepreneur VIEW Theories of Entrepreneurship VIEW Characteristics of Successful entrepreneur VIEW Myths of Entrepreneurship VIEW Entrepreneurial Mindset VIEW Creativity and …
BBA103 Business Mathematics
Unit 1 Principle of Counting {Book} Concept of factorial, Principle of Counting VIEW Mathematical induction: Principle, AM & GM VIEW Concepts of functions VIEW Rest …
Backpropagation Algorithm
In machine learning, backpropagation (backprop, BP) is a widely used algorithm for training feedforward neural networks. Generalizations of backpropagation exist for other artificial neural networks …
Gradient descent and the Delta rule
The development of the perceptron was a big step towards the goal of creating useful connectionist networks capable of learning complex relations between inputs and …
Types of Layers (Convolutional Layers, Activation function, Pooling, Fully connected)
Convolutional Layers Convolutional layers are the major building blocks used in convolutional neural networks. A convolution is the simple application of a filter to an …
Association rules: Introduction, Large Item sets, Apriori Algorithms and applications
Association rule learning is a type of unsupervised learning technique that checks for the dependency of one data item on another data item and maps …
Partitioning Clustering- K-mean clustering
This clustering method classifies the information into multiple groups based on the characteristics and similarity of the data. Its the data analysts to specify the …
Density Based Methods DBSCAN, OPTICS
Density-Based Clustering method is one of the clustering methods based on density (local cluster criterion), such as density-connected points. The basic ideas of density-based clustering …
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