Nov 1, 2024 · What would I do without you? Use LLMs to generate synthetic data, perhaps? But that can be bad, you say? — Random Data Scientist in 2024.
Nov 19, 2024 · Challenge #1: Cleaning Bad-Quality Data, Again, and Again, and Again · Challenge #2: Providing Valuable Insights to Non-Technical Executives For Decision Making.
2 days ago · AI is a Bubble & Everyone is bad at Data Science. · People stop people from understanding people. You see, this happens with just about every major shift in “ ...
Nov 4, 2024 · 98% of companies experienced ML project failures last year, with poor data cleansing and lackluster cost-performance the primary causes. info ...
Nov 21, 2024 · For information on upcoming conferences, visit https://www.rstats.ai. The Good, the Bad, and the ...
Duration: 21:43
Posted: Nov 21, 2024
Duration: 21:43
Posted: Nov 21, 2024
7 days ago · The Cost of Bad Data: Financial Losses: Incorrect data leads to wrong forecasts, overestimated inventories, or missed opportunities, directly impacting ...
Nov 11, 2024 · Incorrect Data: Data that contains errors such as typos, misclassifications, or inaccurate values. This compromises the integrity of any analysis. Invalid Data: ...
Nov 22, 2024 · Automated tools can help you detect, filter, and remove irrelevant, toxic, or inaccurate data, which protects your models from being influenced by poor-quality ...
Nov 13, 2024 · Invalid values are another common data quality issue. They include misspellings, other typos, duplicate entries and outliers, such as wrong dates or numbers ...
Nov 20, 2024 · The financial losses from poor data quality are immense. According to BaseCap Analytics, bad data can cause businesses to lose up to 15% of their revenue. In ...
