IBM Journey to AI blog

DECEMBER 20, 2023

What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks.

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Machine Learning Machine Learning Supervised Learning Clustering 92

AWS Machine Learning Blog

FEBRUARY 25, 2025

Classification algorithms like support vector machines (SVMs) are especially well-suited to use this implicit geometry of the data. Diego Martn Montoro is an AI Expert and Machine Learning Engineer at Applus+ Idiada Datalab. This doesnt imply that clusters coudnt be highly separable in higher dimensions.

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Algorithm Machine Learning Machine Learning K-nearest Neighbors 85

Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

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Clustering Decision Trees Machine Learning Machine Learning 52

Pickl AI

JULY 12, 2024

Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language. NLP tasks include machine translation, speech recognition, and sentiment analysis. Popular models include decision trees, support vector machines (SVM), and neural networks.

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Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

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Dataconomy

MARCH 13, 2023

Data can be collected from various sources, such as databases, sensors, or the internet. Machine learning and deep learning algorithms are commonly used in AI development. This data could be in the form of structured data (such as data in a database) or unstructured data (such as text, images, or audio).

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Pickl AI

SEPTEMBER 12, 2024

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping.

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