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Machine learning is based on statistics and uses algorithms to give machines automatic "learning" capabilities similar to humans to process large amounts of data, identify data patterns, and predict accurate results for unknown or new scenarios.
The core of machine learning is its ability to flexibly use statistical theories and algorithms to give systems insight, prediction, and classification capabilities without explicit programming. This application not only enhances blockchain network security and improves fraud detection and prevention capabilities, but also enables automated cryptocurrency transactions through complex algorithms and predictive models.
Challenges facing machine learning
Machine learning involves several key challenges, including collecting high-quality data, extensive data cleaning and preprocessing, tedious data annotation, dealing with data imbalance, and solving the risk of overfitting on limited data sets.
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Data collection: Collecting high-quality, relevant data from a variety of sources and formats is a huge challenge.
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Data cleaning and preprocessing: Real-world data is often incomplete, noisy, and inconsistent, so detailed cleaning and preprocessing is required.
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Data annotation: Manually annotating data for supervised machine learning requires a lot of time and expertise.
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Overfitting of limited data sets: A small training data set may cause the machine learning model to overfit, affecting its general ability.
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Footprint has the following advantages compared to other data providers
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Covers more than 30 blockchains, providing historical and incremental data
Footprint provides data for over 30 blockchains, and amazingly, you can get complete historical data in just one day. Data includes complete historical data as well as incremental updates. In addition, with raw data as well as structured data, you can not only improve your analysis capabilities, but also gain insights that go beyond the surface of the raw data.
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Save 80% compared to self-built solutions
Users can reduce costs by up to 80%, making it more cost-effective than building nodes or building their own solutions.
Essentially, the Footprint bulk download solution not only accelerates access to extensive and granular blockchain data, but is also cost-effective and developer-friendly, making it the best choice for your data needs. Check out our website or schedule a meeting to learn more about this solution.
Footprint Analytics is a blockchain data solutions provider. With the help of cutting-edge artificial intelligence technology, we provide the first code-free data analysis platform and unified data API in the Crypto field, allowing users to quickly retrieve NFT, GameFi and wallet address fund flow tracking data of more than 30 public chain ecosystems.
Footprint official website: https://www.footprint.network
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