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Category Archives: Machine Learning

Exploratory Data Analysis or EDA is a statistical approach or technique for analyzing data sets in order to summarize their important and main characteristics generally… Read More
Neural networks also known as neural nets is a type of algorithm in machine learning and artificial intelligence that works the same as the human… Read More
Classification is the task in which objects of several categories are categorized into their respective classes using the properties of classes. A classification model is… Read More
GANs is an approach for generative modeling using deep learning methods such as CNN (Convolutional Neural Network). Generative modeling is an unsupervised learning approach that… Read More
Prerequisite: Understanding Logistic Regression Logistic regression is the type of regression analysis used to find the probability of a certain event occurring. It is the… Read More
Inception V4 was introduced in combination with Inception-ResNet by thee researchers a Google in 2016. The main aim of the paper was to reduce the… Read More
Watson Discovery Service is a new suite of APIs that enables you to ingest, normalize, enrich, index, search, and explore your data, both structured and… Read More
Inception V1 (or GoogLeNet) was the state-of-the-art architecture at ILSRVRC 2014. It has produced the record lowest error at ImageNet classification dataset but there are… Read More
From a mathematical foundation viewpoint, it can be said that the three pillars for data science that we need to understand quite well are Linear… Read More
Uni-variate optimization is a simple case of a non-linear optimization problem with an unconstrained case that is there is no constraint. Uni-variate optimization may be… Read More
There are so many things we can do using computer vision algorithms: Object detection Image segmentation Image translation Object tracking (in real-time), and a whole… Read More
Data Science is an interdisciplinary field that focuses on extracting knowledge from data sets which are typically huge in amount. The field encompasses analysis, preparing… Read More
Machine Learning is the science of teaching machines how to perform an action without specifically programming them for that action. In short, Machine Learning is… Read More
Whenever we are working on ML projects, we have to deal with the high dimensionality of the dataset. There is a very particular term to… Read More
Kernel Function is a method used to take data as input and transform into the required form of processing data. “Kernel” is used due to… Read More