Datamodels
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This document discusses data models and their components. A data model includes entities, attributes, data values, key attributes, and records. Entities represent people, places, things, events or concepts, attributes characterize entities and describe them meaningfully, data values are the attribute values, key attributes uniquely identify records, and records are collections of entity attributes. Relationships between entities can be one-to-one, one-to-many, or many-to-many. Common symbols are used in entity-relationship diagrams to represent these components and relationships.
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Solution
entity
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degree
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Cardinality
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Define the following key data modeling terms: entity, attribute, relationship, degree, cardinality, and associative entity.
Solution
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Levi's is an iconic American brand known for its jeans that was originally founded in the late 1800s. While Levi's jeans were once ubiquitous, the brand struggled in recent decades as it diversified its product lines and launched many new styles. Experts argue that to regain its former strength, Levi's needs to narrow its focus, intensify its core brands like the 501 jeans, and avoid undermining its original brand through too much diversification and innovation. A limited re-release of vintage 501s was successful, but only time will tell if this signals a shift back to emphasizing Levi's strengths.
Aggragate planning1
Aggregate planning involves developing a preliminary schedule of operations for an organization over the next 6-18 months. This includes targeted sales, production levels, inventory levels, and backlogs. The goal is to satisfy demand at minimum cost while maximizing customer service and utilization of resources. Two main strategies are level, which maintains steady production and workforce, and chase, which matches demand and capacity period to period. Techniques for aggregate planning include linear programming, linear decision rules, and simulation models.
Suhas gopinath
Suhas Gopinath is the youngest Indian entrepreneur who started his own company, Globals Inc, at age 14. He was fascinated by computers from a young age and taught himself HTML and other programming languages. Despite obstacles like lack of funding and not being old enough to legally start a company, he persisted and eventually received sponsorship from a US company. Globals Inc has now grown into a multinational IT consulting firm with offices around the world. Suhas has received many awards and recognition for his accomplishments as the world's youngest CEO.
Inovation / Creativity
This document discusses ways to enhance creative thinking and outlines four steps to change how one works: be curious, make connections, challenge yourself, and cultivate your ideas. It notes that both logical and creative thinking are important for 21st century success. Some techniques discussed include combining dots in new ways, moving matches to solve puzzles, and story creation. The document advocates thinking differently and taking risks to foster innovation.
Database
The document defines and discusses databases. It states that a database is a collection of interrelated data stored together to serve multiple applications. It also defines a database management system as a computer-based record keeping system. The document notes that databases overcome limitations of typical file processing systems like data redundancy, inconsistency, inability to share data, lack of standardization and insecure data. It discusses the advantages of databases like reduced redundancy, controlled inconsistency, shared data, standardized data, secured data and integrated data. Finally, it provides an overview of database design levels from external views to the conceptual and physical levels.
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“I’m still / I’m still / Chaining from the Block”
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Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
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Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsEpistemic Interaction - tuning interfaces to provide information for AI support
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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Datamodels
- 1. DATA MODELS
- 2. Relationships within a data model Entity Attributes Data Value Key Attributes Record
- 3. Entity Person,place,thing,event or concept about which the information is recorded Attributes Attributes characterise the entity or describe the entity meaningfully. Data Value Each attribute of an entity has a value and is called as data value
- 4. Key Attributes The key attributes are used to find the values of other attributes Record Record is the collection of the attributes of an entity
- 5. Relation types ONE- TO- ONE ONE – TO- MANY MANY - TO- MANY
- 6. Symbols used in E-R Diagram ONE RELATION ENTITY RELATION MANY RELATION
- 7. occupies ONE-TO-ONE patient bed assigned ONE TO ONE RELATION
- 8. HOSPITAL ROOM PATIENT ONE-T0-MANY ACCOMADATES ONE-TO-MANY RELATION
- 9. THANK YOU