An educational crypto, finance, and AI vocabulary puzzle about contract logs, business working capital, model learning signals, and data summaries.
Smart Contract Events
Contract events provide logs that applications can index to track on-chain activity.
Event LogEvent TopicEvent SignatureLog Index
- Event Log: An event log is a record emitted during smart contract execution and included in a transaction receipt.
- Event Topic: An event topic is an indexed field in an Ethereum log, used to identify or filter events.
- Event Signature: An event signature specifies an event name and parameter types; its hash normally identifies a non-anonymous Ethereum event in the first topic.
- Log Index: A log index identifies the position of a log among the logs in a block.
Working Capital
Working capital analysis examines how current assets and current liabilities support everyday operations.
Accounts ReceivableAccounts PayableInventoryNet Working Capital
- Accounts Receivable: Accounts receivable are amounts customers owe a business for goods or services already supplied on credit.
- Accounts Payable: Accounts payable are amounts a business owes suppliers for goods or services purchased on credit.
- Inventory: Inventory consists of goods held for sale and materials or work in progress used to produce them.
- Net Working Capital: Net working capital is current assets minus current liabilities, a measure of short-term financial resources.
Learning Paradigms
Learning paradigms differ in the labels, structure, or feedback used to train a model.
Supervised LearningUnsupervised LearningSelf-Supervised LearningReinforcement Learning
- Supervised Learning: Supervised learning trains a model using examples paired with target outputs.
- Unsupervised Learning: Unsupervised learning seeks patterns or structure in data without supplied target labels.
- Self-Supervised Learning: Self-supervised learning creates training targets from the input data itself, such as predicting masked content.
- Reinforcement Learning: Reinforcement learning trains an agent to choose actions using reward feedback from interactions with an environment.
Data Aggregation
Aggregation reduces many records to summary values used in analytics and reporting.
CountSumMeanMedian
- Count: Count returns the number of records or values in a collection; some database forms exclude null values.
- Sum: Sum adds numeric values to produce a total.
- Mean: The arithmetic mean is the sum of numeric observations divided by their count.
- Median: The median is the middle value of ordered numeric data, or the average of the two middle values when the count is even.