Ajitesh Kumar

Quiz: Linear Regression & F-Statistics

Linear Regression is one of the most widely used statistical methods for predictive modeling in various fields such as finance,…

2 years ago

Meta AI Announces Advancements in Embodied AI: Artificial Visual Cortex & Adaptive Skill Coordination

Meta AI has announced two major advancements in general-purpose embodied AI agents, focusing on challenging sensorimotor skills. These advancements include…

2 years ago

Python – Draw Confusion Matrix using Matplotlib

Classification models are a fundamental part of machine learning and are used extensively in various industries. Evaluating the performance of…

2 years ago

Degree of Freedom in Statistics: Meaning & Examples

The degree of freedom (DOF) is a term that statisticians use to describe the degree of independence in statistical data.…

2 years ago

Different types of Time-series Forecasting Models

Forecasting is the process of predicting future events based on past and present data. Time-series forecasting is a type of…

2 years ago

Transposed Convolution vs Convolution Layer: Examples

In the field of computer vision and deep learning, convolutional neural networks (CNNs) are widely used for image recognition tasks.…

2 years ago

Support Vector Machine (SVM) Python Example

Support Vector Machines (SVMs) are a powerful and versatile machine learning algorithm that has gained widespread popularity among data scientists…

2 years ago

Fixed vs Random vs Mixed Effects Models – Examples

Have you ever wondered what fixed effect, random effect and mixed effects models are? Or, more importantly, how they differ…

2 years ago

CNN Basic Architecture for Classification & Segmentation

As data scientists, we are constantly exploring new techniques and algorithms to improve the accuracy and efficiency of our models.…

2 years ago

Keras: Multilayer Perceptron (MLP) Example

Artificial Neural Networks (ANN) have emerged as a powerful tool in machine learning, and Multilayer Perceptron (MLP) is a popular…

2 years ago

Neural Network & Multi-layer Perceptron Examples

Neural networks are an important part of machine learning, so it is essential to understand how they work. A neural…

3 years ago

Positively Skewed Probability Distributions: Examples

Probability distributions are an essential concept in statistics and data analysis. They describe the likelihood of different outcomes or events…

3 years ago

Data Analytics Training Program (Beginners)

Data analytics has become an integral part of businesses today, helping organizations make data-driven decisions that drive success. To become…

3 years ago

Generative vs Discriminative Models: Examples

The field of machine learning is rapidly evolving, and with it, the concepts and techniques that are used to develop…

3 years ago

Sequence to Sequence Models: Types, Examples

Sequence to sequence (Seq2Seq) modeling is a powerful machine learning technique that has revolutionized the way we do natural language…

3 years ago

Analytics Maturity Model for Analytics COE

As businesses continue to embrace digital transformation, data analytics has become an essential component of business strategy. As a result,…

3 years ago