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The AI Process

Towards AI

AI engineering is the discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts, which combines the principles of systems engineering, software engineering, and computer science to create AI systems.

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Artificial Intelligence Using Python: A Comprehensive Guide

Pickl AI

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. Feature Engineering : Creating or transforming new features to enhance model performance.

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Scaling Kaggle Competitions Using XGBoost: Part 4

PyImageSearch

Applying XGBoost to Our Dataset Next, we will do some exploratory data analysis and prepare the data for feeding the model. unique() # check the label distribution lblDist = sns.countplot(x='quality', data=wineDf) On Lines 33 and 34 , we read the csv file and then display the unique labels we are dealing with.

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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Anomaly Detection: Identifying unusual patterns or outliers in data that do not conform to expected behaviour. Artificial Intelligence (AI): A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence.