Pseudocode
Programmers and data scientists mostly use the term pseudocode for programming and machine learning tasks. Through pseudocode, a programmer represents their codes and implementation...
Data Cleaning
Algorithms in machine learning can gather, store, and analyze data and generate a valuable outcome. These tools allow you to evaluate the condition using...
One Hot Encoding
Categorical encoding is a technique to encode categorical data. Keep in mind that categorical data are the sets of variables that contain label variables...
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...
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....
False Negative
While understanding the hypothesis, two errors can be quite confusing. These two errors are false negative and false positive. You can also refer to...
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...
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...
Best Python IDE
Writing your codes with the help of the Python Shell or the IDLE is not a demanding task. However, using these tools for large...
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...
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...
Lorenz Curve
What Is a Lorenz Curve? An American economist, Max Lorenz, introduced the concept of the Lorenz curve in 1905. He proposed a graphical representation...
Tokenization
Tokenization is not a new concept, as people frequently use it in the blockchain. However, the concept of the token is older than blockchain....
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...