22 articles in this category.
Linear algebra in machine learning is one of the essential topics to learn and have an idea about, as it is applicable and plays a critical role in many machine learning applications. Recommendatio…
Parth Shukla
Ml wizard
In machine learning to achieve higher accuracies and performance of the model, the data quality plays a major role while enhancing the model. If good quality data with meaningful f…
Parth Shukla
Ml wizard
Data and its quality affect machine learning models and their accuracy, and the quality of the data can not be well in some types of problems which can be solved by machine learning. Here the scale…
Parth Shukla
Ml wizard
In machine learning, the algorithm plays a significant role while training and building a successful model. According to the data and its behavior, a proper machine learning algorithm should be sel…
Parth Shukla
Ml wizard
In machine learning, using an appropriate algorithm according to the behavior of the data and its pattern is an essential thing to achieve higher accuracies and accurate performing models. Many mac…
Parth Shukla
Ml wizard
Machine Learning algorithms are one of the most important things to decide during model training and building. All the datasets and problem statements related to that in machine learning are not th…
Parth Shukla
Ml wizard
Cost functions in machine learning measure the performance of the machine learning algorithm trained on a particular dataset. By measuring the cost function or cost for a specific model, we can eas…
Parth Shukla
Ml wizard
The Ensemble technique is one of the best-performing techniques used in the field of machine learning for getting better results on complex types of datasets. There are many ensemble techniques ava…
Parth Shukla
Ml wizard
The Lasso regression is a regularization technique and a type of regression that is well-suited for m…
Parth Shukla
Ml wizard
Topology is a classical branch of mathematics, born essentially from Euler’s studies in the XVII century. It deals with the abstract notion of shape and geometry. The last decades …
Abdul Khan
Data scientist
Association Analysis is an unsupervised learning technique used to discover interesting relationships hidden in large datasets. It’s most famous for its use in “Market Basket Analy…
Abdur-Rahmaan Janhangeer
Chef
So far, we’ve focused on Supervised Learning. Now, we enter the world of Unsupervised Learning, where the machine is given data without any labels and must find patterns on its own…
Abdur-Rahmaan Janhangeer
Chef
Naive Bayes is a simple yet powerful classification algorithm based on Bayes’ Theorem. It’s particularly popular for text classification and spam filtering. Bayes’ Theorem …
Abdur-Rahmaan Janhangeer
Chef
Support Vector Machines (SVM) are powerful supervised learning models used for classification and regression. In this post, we’ll break down the geometry and logic behind them. The Goal: Fi…
Abdur-Rahmaan Janhangeer
Chef
While Decision Trees are easy to understand, they have a major weakness: they tend to overfit the data. In this post, we’ll see how Random Forests solve this probl…
Abdur-Rahmaan Janhangeer
Chef
In the previous post, we saw how Decision Trees split data based on “purity.” But how do we measure this purity mathematically? This is where Entropy and Information Gain…
Abdur-Rahmaan Janhangeer
Chef
Some machine learning methods are versatile enough to be used for both Classification and Regression. These are often called “Mixed Methods.” In this post, …
Abdur-Rahmaan Janhangeer
Chef
In this part, we explore the engine under the hood of most machine learning algorithms: Optimization. Specifically, we will look at the Cost Function and G…
Abdur-Rahmaan Janhangeer
Chef
In the previous parts, we introduced machine learning and supervised learning. Today, we focus on one of the two main pillars of supervised learning: Regression. What is Re…
Abdur-Rahmaan Janhangeer
Chef
Machine Learning ♡ supervised learning ♡ unsupervised learning ♡ reinforcement learning #2 supervised learning in supervised learnin…
Abdur-Rahmaan Janhangeer
Chef
Supervised learning is a fundamental concept in machine learning where we have labelled data available. The machine “learns” from this data, much like a student learning from a tea…
Abdur-Rahmaan Janhangeer
Chef
Machine Learning (ML) is one of the most exciting fields in technology today. But what exactly is it? In this introductory series, we will break down the core concepts of ML, starting from the very…
Abdur-Rahmaan Janhangeer
Chef