Sohail Tabrez has Published 65 Articles

How to Conduct a One Sample T-Test in Python?

Sohail Tabrez

Sohail Tabrez

Updated on 13-Jul-2023 10:50:52

613 Views

Introduction One Sample T-Test is a statistical hypothesis test used to determine whether a population mean is significantly different from a hypothesised value. Python gives us the resources we need to carry out this test. In this article, we will walk through how to conduct a One Sample T-Test in ... Read More

Optimal Decision Making in Multiplayer

Sohail Tabrez

Sohail Tabrez

Updated on 13-Jul-2023 10:48:38

888 Views

Introduction Reinforcement learning is a sort of artificial intelligence where an agent learns to make decisions by interacting with its environment. The agent gains knowledge by receiving rewards or punishments as feedback for its actions. There are countless uses for reinforcement learning, including in robotics, video games, and self-driving vehicles. ... Read More

What is Propositional Logic Based Agent?

Sohail Tabrez

Sohail Tabrez

Updated on 13-Jul-2023 10:40:10

986 Views

Introduction An agent learns to make decisions by interacting with its surroundings in a type of machine learning known as reinforcement learning. By getting feedback for its activities in the form of incentives or penalties, the agent learns. Robotics, video games, and self-driving cars are just a few examples of ... Read More

Selection of GAN vs Adversarial Autoencoder models

Sohail Tabrez

Sohail Tabrez

Updated on 13-Jul-2023 10:32:05

129 Views

Introduction For the past few years, generative models have attracted a lot of attention in the deep learning community. Among these, Adversarial Autoencoders (AAEs) and Generative Adversarial Networks (GANs) are two of the most well-liked models for producing realistic images. While AAEs are more adapted to producing various images that ... Read More

Understanding Reinforcement Learning in-depth

Sohail Tabrez

Sohail Tabrez

Updated on 13-Jul-2023 10:27:44

280 Views

Introduction An agent learns to make decisions by interacting with its surroundings in a type of machine learning known as reinforcement learning. By getting feedback for its activities in the form of incentives or penalties, the agent learns. Robotics, video games, and self-driving cars are just a few examples of ... Read More

ML Applications by Google

Sohail Tabrez

Sohail Tabrez

Updated on 12-Jul-2023 19:55:05

56 Views

Introduction Machine learning has been a hot topic in the IT industry for the past ten years due to Google's continued dominance in its development and application. From improving search engine results to developing self-driving cars, Google has been leveraging the power of ML to address difficult problems and enhance ... Read More

Implementation of a CNN based Image Classifier using PyTorch.

Sohail Tabrez

Sohail Tabrez

Updated on 12-Jul-2023 19:53:55

65 Views

Introduction Due to its capacity to recognise spatial characteristics in images, convolutional neural networks (CNNs) have been extensively used in image classification applications. A well-liked open-source machine learning package called PyTorch offers assistance in creating and honing neural networks, including CNNs. In this article, we'll go over how to use ... Read More

Relationship between ML and the Scientific Method

Sohail Tabrez

Sohail Tabrez

Updated on 12-Jul-2023 19:48:52

98 Views

Introduction In several industries, including healthcare, banking, transportation, and others, machine learning (ML) has become a potent tool for addressing a variety of issues. The scientific method, however, has been the foundation of scientific investigation for generations. ML and the scientific method have a close association despite the two appearing ... Read More

Examples of Machine Learning based Mobile Applications

Sohail Tabrez

Sohail Tabrez

Updated on 12-Jul-2023 19:45:32

83 Views

Introduction Mobile applications have undergone a revolution, thanks to machine learning, becoming smarter, more individualised, and more effective. There are several ways that machine learning is used in mobile apps, from audio and image recognition to natural language processing and predictive analytics. Today's world is undergoing rapid change, and technology ... Read More

Distribution of Test Data vs. Distribution of Training Data

Sohail Tabrez

Sohail Tabrez

Updated on 29-Mar-2023 14:46:21

1K+ Views

Introduction The quality and representativeness of the data used to train and test a machine learning model significantly impact its success. The distribution of training and test data is a key factor in determining the quality of the data. The distribution of training data is the probability distribution of the ... Read More

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