Author: misamaliraza94
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Workflow of Data Analytics
“Numbers have a compelling tale to share. They trust our ability to provide them with an authoritative and clear voice.” Stephen Few Raw data aggregated is data that is not oriented. It requires a thoughtful understanding as well as the appropriate questions in order to create sense out of it. Many insights fail to analyse…
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Powerful Data Collection Tools in Healthcare
Data collection via various tools is one of the major ways healthcare professionals gain new information. As time passes, the data collection process has increased its capabilities to help solve the most critical areas of concern and develop practical solutions for healthcare IT. This approach to solving problems is the main reason for the growth…
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Data Mesh – Rethinking Enterprise Data Architecture
In this age of world, where self-service business intelligence is ruling the field, every business tries to establish itself as an information-driven business. Many businesses are aware of the numerous benefits realized through leverage to make informed decisions. It is the ability to offer customers superior, highly personalized services while also reducing costs and capital…
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Data Science Tutorial for Beginners
Data Science has become the most demanding job of the 21st century. Every organization is looking for candidates with knowledge of data science. In this tutorial, we are giving an introduction to data science, with data science Job roles, tools for data science, components of data science, application, etc. So let’s start, What is Data…
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PyTorch vs. TensorFlow
It is required to understand the difference between the PyTorch and TensorFlow for starting a new project. Libraries play a crucial role when developers decide to work in deep learning or machine learning researches. According to a survey, there are 1,616 ML developers and data scientists who are using PyTorch and 3.4 ML developers who are using TensorFlow. We…
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PyTorch Basics
It is essential to understand all the basic concepts which are required to work with PyTorch. PyTorch is completely based on Tensors. Tensor has operations to perform. Apart from these, there are lots of other concepts which are required to perform the task. Now, understand all the concepts one by one to gain deep knowledge…
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torch.nn in PyTorch
PyTorch provides the torch.nn module to help us in creating and training of the neural network. We will first train the basic neural network on the MNIST dataset without using any features from these models. We will use only the basic PyTorch tensor functionality and then we will incrementally add one feature from torch.nn at…
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PyTorch Packages
PyTorch is an optimized tensor library for deep learning using CPUs and GPUs. PyTorch has a rich set of packages which are used to perform deep learning concepts. These packages help us in optimization, conversion, and loss calculation, etc. Let’s get a brief knowledge of these packages. S.No Name Description 1. Torch The torch package…
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Installation of PyTorch
For installation, first, you have to choose your preference and then run the install command. You can start installation locally or with a cloud partner. In the below diagram, Stable shows the most currently supported and tested version of PyTorch (1.1), which is suitable for many users. If you want the latest 1.1 builds but…
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What is Pytorch?
PyTorch is a small part of a computer software which is based on Torch library. It is a Deep Learning framework introduced by Facebook. PyTorch is a Machine Learning Library for Python programming language which is used for applications such as Natural Language Processing. The high-level features which are provided by PyTorch are as follows: With the help of the Graphics Processing Unit (GPU), it gives…