Remove Clean Data Remove Computer Science Remove Data Quality
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Accelerate data preparation for ML in Amazon SageMaker Canvas

AWS Machine Learning Blog

To quickly explore the loan data, choose Get data insights and select the loan_status target column and Classification problem type. The generated Data Quality and Insight report provides key statistics, visualizations, and feature importance analyses. Now you have a balanced target column.

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NLP, Tools and Technologies and Career Opportunities

Women in Big Data

Dr Sonal Khosla (Speaker) holds a PhD in Computer Science with a specialization in Natural Language Processing from Symbiosis International University, India with publications in peer reviewed Indexed journals. Computational Linguistics is rule based modeling of natural languages. With issues also come the challenges.

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Understanding Data Science and Data Analysis Life Cycle

Pickl AI

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. You will collect and clean data from multiple sources, ensuring it is suitable for analysis.

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Understanding Everything About UCI Machine Learning Repository!

Pickl AI

Connection to the University of California, Irvine (UCI) The UCI Machine Learning Repository was created and is maintained by the Department of Information and Computer Sciences at the University of California, Irvine. NumPy and SciPy can also help apply statistical methods for data imputation and feature transformation.

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Debugging data to build better and more fair ML applications

Snorkel AI

Ce Zhang is an associate professor in Computer Science at ETH Zürich. He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022. You could have a missing value, you could have a wrong value, and you have a whole bunch of those data examples.

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Debugging data to build better and more fair ML applications

Snorkel AI

Ce Zhang is an associate professor in Computer Science at ETH Zürich. He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022. You could have a missing value, you could have a wrong value, and you have a whole bunch of those data examples.

ML 52
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Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Data Cleaning: Raw data often contains errors, inconsistencies, and missing values. Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Visualisation: Effective communication of insights is crucial in Data Science.