Archive for September 1st, 2022

Random variables hold values derived from the outcomes of random experiments. For example, random variable X holds the number of heads in flipping a coin 100 times. A probability distribution describes the possible values and the corresponding likelihoods that a random variable can take. For example, the probabilities of having 0, 1, 2, …, 100 heads respectively. Frequentist calculates probabilities from […]

Statistics is a subject that really matters a lot in any technology especially while dealing with data because all the use cases we work on, data is its base, and statistics concepts are required to understand and interpret conclusions from data. Once you can get the basic concepts it will be easy for you to […]

Deep Learning Frameworks What is a Deep Learning Framework? A deep learning framework is a software package used by researchers and data scientists to design and train deep learning models. The idea with these frameworks is to allow people to train their models without digging into the algorithms underlying deep learning, neural networks, and machine […]

The reliance on digital resources in instructional spaces has been a topic of increasing importance for decades. Long before the pandemic, students were using digital resources academically and socially to connect with others, build community, conduct research, consume, and create media. The necessity of remote learning during the pandemic further accelerated the need to use […]

Linear Algebra for Machine learning Machine learning has a strong connection with mathematics. Each machine learning algorithm is based on the concepts of mathematics & also with the help of mathematics, one can choose the correct algorithm by considering training time, complexity, number of features, etc. Linear Algebra is an essential field of mathematics, which defines […]

Introduction A machine learning algorithm (such as classification, clustering or regression) uses a training dataset to determine weight factors that can be applied to unseen data for predictive purposes. Behind every machine learning model is an optimization algorithm that relies heavily on calculus. In this article, we discuss one such optimization algorithm, namely, the Gradient Descent Approximation […]

A Python machine learning library is a library of functions and methods that enables easy scaling of scientific and numerical computations to streamline machine learning workflows. This article explains the fundamentals of a Python machine learning library and reveals the top 10 Python machine learning libraries used in 2022. What Is a Python Machine Learning […]

What is data science? Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning. The accelerating volume of data sources, and subsequently data, […]