Data Science Blog
FEBRUARY 23, 2023
1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.
Data Science Connect
SEPTEMBER 18, 2018
So whether you are looking to contextualize attitudes of the Federal Reserve or to paint a better picture of customers for your small business, text analytics gives you the tools to represent text numerically and bring qualitative data to the table. Tickets are available here.
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IBM Journey to AI blog
DECEMBER 20, 2023
And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Supervised machine learning Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset (i.e.,
IBM Journey to AI blog
DECEMBER 19, 2023
In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.
Smart Data Collective
JUNE 4, 2021
Basic knowledge of statistics is essential for data science. Statistics is broadly categorized into two types – Descriptive statistics – Descriptive statistics is describing the data. Visual graphs are the core of descriptive statistics. Machine learning is broadly classified into three types – Supervised.
ODSC - Open Data Science
SEPTEMBER 15, 2023
This symbiotic fusion of data analysis and natural language generation underscores AI’s role as a versatile partner in unraveling the layers of information that drive informed decisions. Suppose you have a dataset and require a visual representation that’s both insightful and easily transferable to other programs.
Data Science Dojo
JUNE 11, 2024
They are also known as threshold logic units (TLUs) and serve as a supervised learning algorithm that classifies data into two categories, making them a binary classifier. The weighted inputs are then summed together and the value is passed through an activation function to determine the output.
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