How AI and machine learning solve crimes
As technology evolves, criminals find innovative ways to exploit it. One of the most concerning trends in recent years has been using artificial intelligence...
Can AI and Machine Learning replace human traders?
A growing number of hedge funds are adopting artificial intelligence (AI) to develop forex trading strategies for both short- and long-term investments. AI’s general...
Voice computing (speech recognition) explained
Language is an important means of communication. Speech is its main medium. Designing a machine that converses with humans, particularly responding properly to spoken...
What makes Python so popular with developers?
According to Python statistics 2020, there were 8.2 million Python developers worldwide. For comparison, in September 2019, there were 7 million Python developers as...
Why Python is the fastest-growing programming language
Python is a powerful high-level, object-oriented, general-purpose programming language created by Guido van Rossum. It has been widely used recently, as it is suitable...
Pros and cons of the K-Nearest Neighbors (KNN) algorithm
K-Nearest Neighbors (KNN) is a simple yet powerful classification algorithm that classifies based on a similarity measure. This supervised ML algorithm can be used...
Machine Learning: Cloud or On-Premise?
New technologies are always emerging, changing the way people live and work. Artificial intelligence (AI) is a revolutionary technology impacting virtually every industry. Manufacturing,...
Pros and cons of Random Forest Algorithm
Random Forest is an easy-to-use, supervised machine learning algorithm used for classification and regression problems. It can produce a great result, even without hyperparameter...
41 popular Python libraries for various applications
Python is a powerful high-level, interactive, object-oriented scripting language created by Guido Van Rossum in the late 1980s. It is an object-oriented language, meaning...
Pros and cons of Support Vector Machine (SVM)
Support vector machines (SVMs) are effective yet adaptable supervised machine learning algorithms for regression and classification. However, they are typically employed in classification issues.
SVMs...