Remove EDA Remove Natural Language Processing Remove Supervised Learning
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How to tackle lack of data: an overview on transfer learning

Data Science Blog

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. That is, is giving supervision to adjust via.

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data. There are three main types of Machine Learning: supervised learning, unsupervised learning, and reinforcement learning.

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When his hobbies went on hiatus, this Kaggler made fighting COVID-19 with data his mission | A…

Kaggle

I also have experience in building large-scale distributed text search and Natural Language Processing (NLP) systems. What supervised learning methods did you use? The early days of the effort were spent on EDA and exchanging ideas with other members of the community.

ETL 71
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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks. Deep Learning : A subset of Machine Learning that uses Artificial Neural Networks with multiple hidden layers to learn from complex, high-dimensional data.