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Machine Learning

A subset of artificial intelligence (AI), Machine Learning provides systems the ability to learn and improve from experience without being explicitly programmed automatically. This section focuses on new trends, predictions, computer models, and algorithms used in various applications, such as email filtering and computer vision.

data

Data preparation steps – Why do they matter?

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Raw data, which are accumulated from various sources in the form of logs, sensor output, government data, medical research data, climate data, geospatial data,...
Python

What makes Python so popular with developers?

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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...
data preparation

Top 7 data preparation tools

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Data preparation is expensive and time-consuming, especially without automated and mature data preparation tools. Traditionally, data scientists write specific preparation scripts to accomplish project-specific...
Python

Why Python is the fastest-growing programming language

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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...
KNN-algorithm

Pros and cons of the K-Nearest Neighbors (KNN) algorithm

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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

Machine Learning: Cloud or On-Premise?

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New technologies are always emerging, changing the way people live and work. Artificial intelligence (AI) is a revolutionary technology impacting virtually every industry. Manufacturing,...
random forest

Pros and cons of Random Forest Algorithm

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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...
Python

41 popular Python libraries for various applications

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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...
Support Vector Machine (SVM)

Pros and cons of Support Vector Machine (SVM)

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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...
Python

8 reasons why you should learn Python

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Python is one of the most popular languages used to build just about anything nowadays. It is a great language for data analysis, scientific...