PCA is a technique for transforming a set of correlated variables into a set of linearly uncorrelated variables, known as principal components. The first principal component is the direction in the data with the highest variance, and each subsequent principal component has the highest variance orthogonal to the previous principal […]
A.I./M.L./Data Science
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PyTorch 101: A Beginner’s Guide to Tensors, Autograd, and Neural Networks
PyTorch is an open-source machine learning library for Python that is widely used in research and industry. It was developed by Facebook’s AI Research group and provides a flexible and efficient platform for building and training deep neural networks. In this overview, we will cover the basics of PyTorch and […]
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How Data Science Techniques Are Revolutionizing Research
Data science techniques have become increasingly popular in research, as they allow scientists to analyze complex data sets and uncover hidden patterns and relationships. Let us briefly go over some of the most common data science techniques used in research and how they are used to gain insights and make […]
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Exploring the Basics of Deep Learning with Tensorflow
With the advent of advanced hardware and software technologies, deep learning algorithms can now process and analyze vast amounts of data, making it possible to extract insights and patterns that were once impossible to uncover. One of the most popular deep learning libraries is Tensorflow, an open-source software library developed […]
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TensorFlow: A Technical Overview
TensorFlow is an open-source machine learning framework developed by Google Brain Team. It is one of the most popular machine learning frameworks and has been widely used in various applications such as image recognition, natural language processing, speech recognition, and more. In this blog post, we will provide a technical […]
A.I./M.L./Data Science , Business & Tech
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Small Data, Big Advancements: Innovations in Machine Learning Techniques for Small Data Sets
Machine learning algorithms are typically data-hungry and require large amounts of data to train accurate models. However, in real-world scenarios, obtaining large amounts of data can be a challenging task. In such cases, it becomes necessary to explore the techniques that can be employed to train models with smaller data […]
A.I./M.L./Data Science
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Keras: Your Gateway to Neural Networks
Keras is a high-level open-source neural network library written in Python. It is designed to be user-friendly, modular, and extensible, and can run on top of other popular machine learning frameworks such as TensorFlow, Theano, and CNTK. Keras provides a simple and intuitive API that allows users to quickly build […]
A.I./M.L./Data Science
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Random Forests: The Tree-Based Algorithm That Can Handle Anything
Random Forests are a popular machine learning algorithm that can handle both classification and regression problems with ease. They are a type of ensemble learning method that combines multiple decision trees to create a robust and accurate model. In this blog post, we will take a closer look at what […]
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Hyperparameters: Understanding the Control Knobs of Machine Learning Algorithms
Machine learning algorithms are widely used for solving complex problems such as image recognition, natural language processing, and many others. However, building a good machine learning model involves selecting the right set of parameters and hyperparameters. In this blog post, we will discuss hyperparameters, their significance, and ways to optimize […]
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Logistic Regression: A Technical Overview
Logistic Regression is a statistical model used to analyze the relationship between a categorical dependent variable and one or more independent variables. It is a popular technique used in various fields, including finance, medicine, marketing, and many others. In this blog post, we will discuss the technical aspects of logistic […]