Multicollinearity
With increasingly advanced machine learning and deep learning algorithms, you can solve almost any problem with proper datasets. However, as the complexity of the...
Chi Test
When developing a machine learning model, you may encounter numerous problems. One common problem related to feature selection determines how relevant the input features...
Singular value decomposition
Principal component analysis and singular value decomposition are among the two common concepts of linear algebra in machine learning. After collecting raw data, is...
Relu Activation Function
Activate function is an essential element for designing a neural network. Choosing the activation function will give you complete control over the network model’s...
Confounding Variable
Confounding variable is a statistical term.The concept is a bit confusing for many people because of the method to use. For starters, different researchers...
NLP and Healthcare
NLP or Natural Language Processing is a technology under Artificial Intelligence that helps machines understand human language. With the help of NLP, engineers blend...
Understanding BERT
Insufficient training data is arguably the most challenging issue faced by natural language processing, better known as NLP. For those who do not know,...
An In-Depth Guide to Natural Language Processing (NLP)
“In recent years, NLP has witnessed several breakthroughs in helping computers understand human language,” according to Leand Romaf, a software engineer and AI expert....
Box Plot Review
A box plot or box and whisker plot help you display the database distribution on a five-number summary. The first quartile Q1 will be...
Bayesian Networks
Creating a probabilistic model can be challenging but proves helpful in machine learning. To create such a graphical model, you need to find the...
Bias Vs. Variance
Bias and Variance are two main prediction errors that mostly occur during a machine learning model. Machine learning solves numerous problems that we worry...
2021 Data Science Trends
2020 was a challenging year for just about everyone. While it was full of unexpected events, it allowed the implementation of new developments in...
Self-driving car
A self-driving car, also known as an autonomous vehicle (AV), connected and autonomous vehicle (CAV), driverless car, robo-car, or robotic car, is a vehicle...
Artificial Intelligence (AI)
What is Artificial Intelligence? Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the...
Log Loss
In machine learning, you can solve predictive modeling through classification problems. For each observation in the model, you must predict the class label. The...
SMOTE
This article will discuss how SMOTE module helps increase underrepresented numbers in the dataset of a machine learning model. SMOTE is the best method...
Functional Programming
In functional programming, you design software using pure functions. Furthermore, it reduces the risk of side-effects, mutable data, and shared state. You can use...
Computer Vision and Healthcare
We have been predicting an era of Robots in the Virtual World for decades, but for decades, people have been skeptical. Up until a...
Cryptography
Cryptography or cryptology (from Old Greek: κρυπτός, romanized: kryptós “covered up, mystery”; and γράφειν graphein, “to compose”, or – λογία – logia, “study”, respectively)...
Computer Vision
We can take photos and film a video through the cameras of our smartphones. Furthermore, we can share those images and videos easily through...
Confusion Matrix
The classification process helps with the categorization of the dataset into different classes. A machine learning model enables you to: Frame the problem, Collect...
Feature Engineering
Every machine learning algorithm analyzes and processes input data and generates the outputs. The input data includes features in columns. These columns are structured...
Power Analysis
A hypothesis test for statistical power will help detect the probability of an effect. You can only spot the true effect if available. With...