MindMap Gallery Data and Computing
This is a mind map about data and computing. The main contents include: Chapter 5: Artificial Intelligence and Applications, Chapter 4: Data Processing and Applications, Chapter 3: Program Implementation of Algorithms, Chapter 2: Algorithms and Problem Solving, Chapter 1: Data and Information.
Edited at 2024-02-13 18:52:01This article discusses the Easter eggs and homages in Zootopia 2 that you may have discovered. The main content includes: character and archetype Easter eggs, cinematic universe crossover Easter eggs, animal ecology and behavior references, symbol and metaphor Easter eggs, social satire and brand allusions, and emotional storylines and sequel foreshadowing.
[Zootopia Character Relationship Chart] The idealistic rabbit police officer Judy and the cynical fox conman Nick form a charmingly contrasting duo, rising from street hustlers to become Zootopia police officers!
This is a mind map about Deep Analysis of Character Relationships in Zootopia 2, Main content: 1、 Multi-layer network of relationships: interweaving of main lines, branch lines, and hidden interactions, 2、 Motivation for Character Behavior: Active Promoter and Hidden Intendant, 3、 Key points of interaction: logic of conflict, collaboration, and covert support, 4、 Fun Easter eggs: metaphorical details hidden in interactions.
This article discusses the Easter eggs and homages in Zootopia 2 that you may have discovered. The main content includes: character and archetype Easter eggs, cinematic universe crossover Easter eggs, animal ecology and behavior references, symbol and metaphor Easter eggs, social satire and brand allusions, and emotional storylines and sequel foreshadowing.
[Zootopia Character Relationship Chart] The idealistic rabbit police officer Judy and the cynical fox conman Nick form a charmingly contrasting duo, rising from street hustlers to become Zootopia police officers!
This is a mind map about Deep Analysis of Character Relationships in Zootopia 2, Main content: 1、 Multi-layer network of relationships: interweaving of main lines, branch lines, and hidden interactions, 2、 Motivation for Character Behavior: Active Promoter and Hidden Intendant, 3、 Key points of interaction: logic of conflict, collaboration, and covert support, 4、 Fun Easter eggs: metaphorical details hidden in interactions.
Data and Computing
Chapter 1: Data and Information
1.1: Sensory data
Data: A general term for all symbols that can be input into a computer and processed by a computer program. It is a general name for numbers, letters, symbols and analog quantities that have a certain meaning and are used to be input into the computer for processing.
1.2: Data information and knowledge
Information: Something used to eliminate random uncertainty. (carrier dependency, timeliness, shareability, processability, authenticity, value)
Knowledge; the sum of the understanding and experience gained by human beings in social practice.
Wisdom: It is a higher level of comprehensive ability, reflected in an excellent judgment.
1.3: Data collection and coding
Data collection: sensors
Digitizing
Analog signal, digital signal
Analog-to-digital conversion: sampling, quantization, encoding
coding
1.4: Data Management and Security
Data Management: Folders
Data Security
Media: disk array, data backup, off-site disaster recovery
The data itself is safe: data encryption, data verification
1.5: Data and big data
Big data: huge data volume, fast speed, many data types, and low value density
Big data thinking: total data, complexity, correlation
Chapter 2: Algorithms and Problem Solving
2.1: Concept and description of algorithms: finiteness, feasibility, certainty, input and output...
2.2: Structure of algorithm: sequential structure, branch structure, loop structure
2.3: The process of using algorithms to solve problems
Chapter 3: Program Implementation of Algorithm
3.1: The general process of solving problems using computer programming
3.2: python language programming
3.3: Simple algorithm and its program implementation
Chapter 4: Data Processing and Application
4.1: Processing of commonly used table data
Data sorting, data calculation
4.2: Big data processing (divide and conquer thinking)
Batch computing, stream computing, graph computing
4.3: Typical applications of big data
Chapter 5: Artificial Intelligence and Applications
5. The emergence and development of artificial intelligence
A cutting-edge science that is widely interdisciplinary and involves multiple disciplines: concepts
Manually build knowledge base, reasoning: symbolism
expert system
Neural Networks: Connectionism
Deep learning, xx recognition
Continuous learning through interaction: behaviorism
Sweeping robot, trial and error learning
5.2: Application of artificial intelligence
Watson, Deep Blue: Domain Artificial Intelligence
AlphaGo: Cross-domain artificial intelligence
Da Vinci Surgical Robot: Hybrid Augmented Intelligence
5.3: The impact of artificial intelligence on society
graph data
streaming data
static data