Mathematical and Statistical Methods A set of mathematical functions that compute statistics about an entire array or about the data along an axis are accessible as methods of the array…
Universal Functions: Fast Element-Wise Array Functions A universal function, or ufunc, is a function that performs element-wise operations on data in ndarrays. You can think of them as fast vectorized…
Boolean Indexing Let’s consider an example where we have some data in an array and an array of names with duplicates. I’m going to use here the randn function in…
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Agenda MLOps is enabling machine learning applications in production at scale. MLOps Through 2023, atleast 50% of the IT leaders will scuffle to move their AI predictive projects from proof…
Basic Indexing and Slicing NumPy array indexing is a rich topic, as there are many ways you may want to select a subset of your data or individual elements. One-dimensional…
NumPy Basics: Arrays and Vectorized Computation NumPy, short for Numerical Python, is one of the most important foundational packages for numerical computing in Python. Most computational packages providing scientific functionality…
Network intrusion is a growing threat with potentially severe impacts, which can be damaging in multiple ways to network infrastructures and digital/ intellectual assets in the cyberspace. The approach most…
Agenda Data collection can be manual or electronic. Web scrapping is the electronic or digital way to collect data from websites in structured formats like CSV, JSON or XML. Some…
Azure Cognitive Services are cloud-based services that encapsulate AI capabilities. It is a bundle of many individual services to develop sophisticated and intelligent AI Applications. Cognitive services offer a wide range…
The areas associated with AI are as follows: Robotics Computer VisionMachine LearningRobotics Process AutomationNatural Language Processing Areas associated with AI are not separate from each other-as robotics utilises computer vision…