Datasets:
tasksource
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parade

Dataset card Data Studio Files
xet
Community
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machine learning
machine learning is the science of getting computers to act without being explicitly programmed self driving cars, speech recognition, and web search
trains computers to accurately recognize patterns in data for purposes of data analysis, prediction, and/or action selection by autonomous agents
1
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machine learning
techniques allowing computers to 'improve performance' in certain tasks by making use of data (rather than being programmed explicitly for a task)
uses statistical techniques to give computers the ability to &"learn&" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed
0
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machine learning
artificial intelligence in which computers continually teach themselves to make better decisions based on previous results and new data
trains computers to accurately recognize patterns in data for purposes of data analysis, prediction, and/or action selection by autonomous agents
1
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machine learning
algorithms that are good at predicting. (based on knowledge, things we already know)
study of algorithms that computers use to perform certain tasks, helps decision making
3
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machine learning
- the extraction of knowledge from data based on algorithms created from training data - focused on predicting outcomes based on previously unknown data
the extraction of knowledge from data based on algorithms created from training data technique for making a computer produce better results by learning from past experiences.
1
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machine learning
a type of artificial intelligence that enables computers to both understand concepts in the environment, and also to learn.
a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases.
2
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machine learning
is about making machines get better at some task by learning from data, instead of having code rules.
is about building systems that can learn from data. learning means getting better at some task, given some performance measure.
1
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machine learning
algorithms that can learn from data, or, computer programs that essentially program themselves by looking at information
type of ai broadly defined as software with the ability to learn or improve without being explicitly programmed
2
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machine learning
machine learning is a field of computer science that gives computer systems the ability to &"learn&" with data, without being explicitly programmed.
in the 1950s the term &" machine learning&" was coined to refer to programs that gave computers the ability to learn from data.
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machine learning
technique for making a computer produce better results by gathering data and learning from past experiences.
a field of study interested in the development of computer algorithms to transform data into intelligent action ex. facebook auto friend tagging, uber estimated time arrival
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machine learning
the use of data-driven algorithms that perform better as they have more data to work with; generally uses cross-validation
the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the word
1
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machine learning
a field of study interested in the development of computer algorithms to transform data into intelligent action ex. facebook auto friend tagging, uber estimated time arrival
artificial intelligence in which computers continually teach themselves to make better decisions based on previous results and new data
3
1
reverse engineering
the process of analyzing a system to identify components and their interrelations and create representations of the system in another form or at a higher lever of abstraction
it is the process of analyzing a subject system to identify the system components and their relationship and create a representation of a system in another form
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reverse engineering
the process of analyzing a system to identify components and their interrelations and create representations of the system in another form or at a higher lever of abstraction
the process of analyzing an existing software system and creating a new version of the system at a higher level of abstraction
1
0
reverse engineering
where a program is decoded to extract information from it; it helps with documenting the organization and functionality of a system
analyze the program to understand it, information extraction
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reverse engineering
involves taking apart a competitor's product, analyzing it, and creating an improved product that does not infringe on the competitor's patents, if any exist
designing products based on existing designs thru measurement and deconstruction
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reverse engineering
the process of analyzing an existing software system and creating a new version of the system at a higher level of abstraction
process of analyzing a system and understand its structure and functionality
1
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reverse engineering
the process of analysing an existing system to identify its components and their interrelationships, to allow the creation of a similar system
process of analyzing a system and understand its structure and functionality
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reverse engineering
behavior to source code to design to requirements
recover requirements or design info from source code
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reverse engineering
the process of disassembling a product to analyze its design features.
the process of duplicating/analyzing an existing component, subassembly, or product.
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reverse engineering
> leads to a new understanding about products > process of analyzing the products function and features > begins with a product and ends with an understanding
the process of taking apart an object to see how it works in order to duplicate the object. it is legal to acquire a trade secret through reverse engineering.
3
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reverse engineering
the process of taking something apart and analyzing its workings in detail with the intention of understanding its structure function and operation
the process of taking something apart and analyzing its workings in detail, usually with the intention of understanding its function.
1
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reverse engineering
the process of analyzing a system to identify components and their interrelations and create representations of the system in another form or at a higher lever of abstraction
process of analyzing a system and understand its structure and functionality
0
0
reverse engineering
where a program is decoded to extract information from it; it helps with documenting the organization and functionality of a system
the process of analysing to identify its components and their interrelationships, to allow the creation of a similar system.
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reverse engineering
original source code is recreated from examaning outputs of software. focuses on recreating product than copying code.
analysing a product and its parts to understand how it works to recreate the original design
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reverse engineering
the process of analysing an existing system to identify its components and their interrelationships, to allow the creation of a similar system
it is the process of analyzing a subject system to identify the system components and their relationship and create a representation of a system in another form
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reverse engineering
automated tools that read program source code as input and create graphical and textual representations of design-level information such as program control structures, data structures, logical flow, and data flow.
the process of analysing to identify its components and their interrelationships, to allow the creation of a similar system.
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reverse engineering
the process of analysing to identify its components and their interrelationships, to allow the creation of a similar system.
the process of extracting knowledge or design information from anything man-made and reproducing it or reproducing anything based on the extracted information.
2
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reverse engineering
a strategy used to find answers to questions about an existing product that are later used in the design of another project.
examine the construction or composition of another manufacturer's product in order to create (a duplicate or similar product).
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reverse engineering
where a program is decoded to extract information from it; it helps with documenting the organization and functionality of a system
the process of extracting knowledge or design information from anything man-made and reproducing it or reproducing anything based on the extracted information.
1
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reverse engineering
analyze the program to understand it, information extraction
the process of extracting knowledge or design information from anything man-made and reproducing it or reproducing anything based on the extracted information.
1
0
reverse engineering
the process of analysing to identify its components and their interrelationships, to allow the creation of a similar system.
analyze the program to understand it, information extraction
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1
reverse engineering
the process of discovering the technological principles of a device, object or system through analysis of its structure, function, and operation.
the process of learning about the device / object from the inside out.
1
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reverse engineering
the process of analysing an existing system to identify its components and their interrelationships, to allow the creation of a similar system
the process of analyzing an existing software system and creating a new version of the system at a higher level of abstraction
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classification rules
results are often expressed in the form of rules
they predict the classification of given attribute (in terms of whether to play or not)
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service providers
organizations with computers connected to the internet that are willing to provide access to software, data and storage
- regional authorities - counties - special districts - cities - schools -conservancies and friends groups financed primarily by taxes with user fees as a supplement source of income
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service providers
any person providing an iss could be for free - 'normally' remuneration.
organizations with computers connected to the internet that are willing to provide access to software, data and storage
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mobile applications
an app designed to run on mobile devices
different edition of software that is designed specifically for mobile use
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mobile applications
(type of application software) small programs primarily designed for mobile devices (e.g., smartphones and tablets)
are add-on programs for a variety of mobile devices including smartphones and tablets
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mobile applications
an app designed to run on mobile devices
add on programs for mobile or smart phones, app store provides access to apps
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mobile applications
are add-on programs for a variety of mobile devices including smartphones and tablets
different edition of software that is designed specifically for mobile use
1
0
mobile applications
software programs that run on mobile devices and give users access to certain content
different edition of software that is designed specifically for mobile use
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1
mobile applications
(type of application software) small programs primarily designed for mobile devices (e.g., smartphones and tablets)
add on programs for mobile or smart phones, app store provides access to apps
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mobile applications
applications designed to run on mobile devices. these can be used for creating documents, taking pictures, listening to music, playing games or finding directions.
refers to programs that are designed to help users complete a specific activity or task
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mobile applications
add on programs for mobile or smart phones, app store provides access to apps
different edition of software that is designed specifically for mobile use
2
1
mobile applications
(type of application software) small programs primarily designed for mobile devices (e.g., smartphones and tablets)
different edition of software that is designed specifically for mobile use
2
1
mobile applications
an app designed to run on mobile devices
(type of application software) small programs primarily designed for mobile devices (e.g., smartphones and tablets)
2
1
mobile applications
an app designed to run on mobile devices
software programs that run on mobile devices and give users access to certain content
3
1
mobile applications
an app designed to run on mobile devices
are add-on programs for a variety of mobile devices including smartphones and tablets
3
1
mobile applications
add on programs for mobile or smart phones, app store provides access to apps
are add-on programs for a variety of mobile devices including smartphones and tablets
0
0
mobile applications
software programs that run on mobile devices and give users access to certain content
are add-on programs for a variety of mobile devices including smartphones and tablets
1
0
mobile applications
software programs that run on mobile devices and give users access to certain content
add on programs for mobile or smart phones, app store provides access to apps
1
0
association rule
likelihood of buying another product with a certain product what people buy together descriptive if <antecedent> then <consequent>
• when you connect one thing to another product • ex. beer + diapers = happiness
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association rule
an implication expression of the form x --> y, where x and y are itemsets ex: {milk, diaper} --> {beer} do not mean causality... more like co-occurrence
describes relationship between two itemsets. x --> y - x is antecedent (lhs) - y is consequent (rhs)
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association rule
an implication expression of the form x -> y, where x and y are itemsets ex. {milk, diaper} -> {beer}
describes relationship between two itemsets. x --> y - x is antecedent (lhs) - y is consequent (rhs)
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association rule
used to discover interesting relations between attributes in large datasets.
discover item sets that frequently occur together
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physical resources
manufacturing facilities, buildings, vehicles, machines, systems, distribution networks
personnel material machines money
3
1
cluster analysis
identify groups of entities with similar characteristics (find groups of similar customers from customer order and demographic data)
statistical techniques identify groups of entities that have similar characteristics. common use - fidnd groups of similar customers from orders and demographic data
3
1
cluster analysis
statistical technique to identify groups of entities with similar characteristics; used to find groups of similar customers from customer order and demographic data. unsupervised data mining technique
common unsupervised technique -statistical techniques identify groups of entities that have similar characteristics -common use is to find groups of similar customers from customer order and demographic data
1
0
cluster analysis
class label is unknown: group data to form new classes, e.g., cluster houses to find distribution patterns
a collection of techniques that seek to group or segment a collection of objects into subsets or clusters. a data reduction technique and is primarily descriptive
3
1
cluster analysis
statistical technique to identify groups of entities with similar characteristics; used to find groups of similar customers from customer order and demographic data. unsupervised data mining technique
unsupervised data mining technique where statistics are used to identify similar groups of people. like how to target a particular group of customers that have placed similar past orders
3
1
cluster analysis
common unsupervised data mining technique that includes using statistical techniques to identify groups of entities that have similar characteristics
analytic unsupervised data mining technique that identifies groups of entities that have similar characteristics
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cluster analysis
using statistical methods, a computer program explores data to find groups with common and previously unknown characteristics
a model that determines previously unknown groupings of data
3
1
cluster analysis
common unsupervised data mining technique that includes using statistical techniques to identify groups of entities that have similar characteristics
unsupervised statistical techniques identify group of entities that have simar characteristics
3
1
cluster analysis
statistical techniques identify groups of entities that have similar characteristics. common use - fidnd groups of similar customers from orders and demographic data
common unsupervised technique -statistical techniques identify groups of entities that have similar characteristics -common use is to find groups of similar customers from customer order and demographic data
0
0
cluster analysis
identify groups of entities with similar characteristics (find groups of similar customers from customer order and demographic data)
unsupervised data mining technique where statistics are used to identify similar groups of people. like how to target a particular group of customers that have placed similar past orders
1
0
cluster analysis
class label is unknown: group data to form new classes, e.g., cluster houses to find distribution patterns
collection of techniques that seek to group of segment a collection of objects into subsets of clusters
3
1
cluster analysis
identifying groups in the data that have similar characteristics and patterns unsupervised dm
-common unsupervised technique -groups entities based on similar characteristics -findings obtained solely by data analysis
2
1
cluster analysis
arranging items or values based on different variables into &"natural&" groups
the process of arranging terms or values based on different variable into &"natural&" groups. a forecasting technique that employs a series of past data points to make a forecast
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cluster analysis
goal - divide n observations into clusters so that elements within a cluster look very similar while those in different clusters look diverse
to find grps of closely related observations so that observations that belong to the same cluster are more similar to each other than observations that belong to other clusters
3
1
cluster analysis
identifying groups in the data that have similar characteristics and patterns unsupervised dm
an unsupervised technique that uses statistical techniques to identify groups of entities that have similar characteristics
1
0
cluster analysis
arranging items or values based on different variables into &"natural&" groups
the process of arranging terms or values based on different variables into &"natural&" groups. used for understanding the makeup of an industry's different areas.
3
1
cluster analysis
analytic unsupervised data mining technique that identifies groups of entities that have similar characteristics
unsupervised statistical techniques identify group of entities that have simar characteristics
3
1
cluster analysis
unsupervised data mining technique where statistics are used to identify similar groups of people. like how to target a particular group of customers that have placed similar past orders
common unsupervised technique -statistical techniques identify groups of entities that have similar characteristics -common use is to find groups of similar customers from customer order and demographic data
3
1
cluster analysis
statistical techniques identify groups of entities that have similar characteristics -common use for cluster analysis is to find groups of similar customers from customer order and demographic data
common unsupervised technique -statistical techniques identify groups of entities that have similar characteristics -common use is to find groups of similar customers from customer order and demographic data
2
1
cluster analysis
statistical techniques identify groups of entities that have similar characteristics -common use for cluster analysis is to find groups of similar customers from customer order and demographic data
statistical technique to identify groups of entities with similar characteristics; used to find groups of similar customers from customer order and demographic data. unsupervised data mining technique
3
1
cluster analysis
statistical techniques identify groups of entities that have similar characteristics -common use for cluster analysis is to find groups of similar customers from customer order and demographic data
statistical techniques identify groups of entities that have similar characteristics. common use - fidnd groups of similar customers from orders and demographic data
2
1
cluster analysis
statistical techniques identify groups of entities that have similar characteristics -common use for cluster analysis is to find groups of similar customers from customer order and demographic data
unsupervised data mining technique where statistics are used to identify similar groups of people. like how to target a particular group of customers that have placed similar past orders
3
1
cluster analysis
an unsupervised technique that uses statistical techniques to identify groups of entities that have similar characteristics
-common unsupervised technique -groups entities based on similar characteristics -findings obtained solely by data analysis
3
1
cluster analysis
statistical technique to identify groups of entities with similar characteristics; used to find groups of similar customers from customer order and demographic data. unsupervised data mining technique
statistical techniques identify groups of entities that have similar characteristics. common use - fidnd groups of similar customers from orders and demographic data
1
0
cluster analysis
arranging items or values based on different variables into &"natural&" groups
the process of arranging terms or values based on different variables into &"natural&" groups. used for understanding the makeup of an industry's different areas. also known as segmentation.
1
0
cluster analysis
a collection of techniques that seek to group or segment a collection of objects into subsets or clusters. a data reduction technique and is primarily descriptive
divides data into groups that are meaningful/useful. objects in a cluster share the same characteristics.
2
1
cluster analysis
unsupervised data mining technique where statistics are used to identify similar groups of people. like how to target a particular group of customers that have placed similar past orders
statistical techniques identify groups of entities that have similar characteristics. common use - fidnd groups of similar customers from orders and demographic data
0
0
cluster analysis
statistical technique to identify groups of entities with similar characteristics; used to find groups of similar customers from customer order and demographic data. unsupervised data mining technique
identify groups of entities with similar characteristics (find groups of similar customers from customer order and demographic data)
1
0
cluster analysis
identify groups of entities with similar characteristics (find groups of similar customers from customer order and demographic data)
common unsupervised technique -statistical techniques identify groups of entities that have similar characteristics -common use is to find groups of similar customers from customer order and demographic data
3
1
space complexity
how much space the algorithm takes
the amount of memory an algorithm or data structure needs
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space complexity
amount of computer memory required during program execution as a function of input size
what amount of extra space is required for module to execute
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space complexity
the space needed by an algorithm expressed as a function of the input size.
what amount of extra space is required for module to execute
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space complexity
maximum number of nodes in memory
maximum number of nodes stored in memory -expressed in terms of b, d, m
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space complexity
time is not the only thing that matters in an algorithm. we might also care about the amount of memory or space-required by an algorithm.
how much memory is being used in general
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space complexity
amount of computer memory required during program execution as a function of input size
the space needed by an algorithm expressed as a function of the input size.
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space complexity
the amount of memory needed by a program to run to completion
how much memory is being used in general
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space complexity
how much space (inside ram) is required
amount of space used
1
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space complexity
time is not the only thing that matters in an algorithm. we might also care about the amount of memory or space-required by an algorithm.
the amount of memory needed by a program to run to completion
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service quality
service quality dimensions are reliability, assurance, tangibles, empathy, and responsiveness
timeliness, turnaround time, accuracy, thoroughness, accessibility, convenience, courtesy, and safety - often process (measurable) indicators measuring compliance with established standards.
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service quality
the experiences and perceptions of patients and other stakeholders.
customers' perceptions of how well a service meets or exceeds their expectations
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protocol stack
layering different protocols on top of one another
or a protocol suite, is made up of multiple protocols used to exchange information between computers
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protocol stack
tcp/icp 1. physical 2. data link 3. network 4. transport 5. application
the collection of networking protocols that operate at the various layers
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protocol stack
networks use more than one protocol, and the collection of protocols for a network is referred to as a protocol stack.
al known as a protocol suite and is multiple protocols that work together to provide a network service or application.
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protocol stack
different layers and are stacked one of another the set of software used to understand the different protocols
the set of software required to process a set of protocols at various layers