This is non-linear learning resource designed for a year 8 visual art class. This learning resource is designed to be used independently by each student and allows for a range of abilities through the inclusion of extension tasks and activities. Different types of learners are also supported through the inclusion of visual, written and verbal information.
I wrote this fun paper about the history of the Mona Lisa as the final project for a writing class. In it, I explore the factors that have contributed to make the work by Leonardo Da Vinci, arguably, the most famous painting of all time.
Leonardo's painting - Who is Mona Lisa ver 2.0Jerry Daperro
Leonardo was born in or near the town of Vinci, about half way between Florence and Pisa, on 15 April 1452. He was the illegitimate son of a rising Florentine legal official Ser Piero da Vinci. He was good at drawing and was enrolled with the leading Florentine artist of Verrocchio in 1469, at the age of 17. Leonardo was probably the greatest artists of the Renaissance. His studies were strictly based in the scientific methods, on vigorous analysis and on objective reasoning. But it was his inquisitive mind that drove the man forever forward to understand our place in nature. According to art historian Helen Gardner, the scope and depth of his interests were without precedent in recorded history. Apart from portraits, religious themes and historical paintings, Leonardo’s greatest legacies were his notebooks and drawings. He influenced many of his contemporary artists, including Michelangelo Raphael, Giorgione and Bramante. Yet he always had a deep distrust of human society. “Alone you are all yourself.”
This is non-linear learning resource designed for a year 8 visual art class. This learning resource is designed to be used independently by each student and allows for a range of abilities through the inclusion of extension tasks and activities. Different types of learners are also supported through the inclusion of visual, written and verbal information.
I wrote this fun paper about the history of the Mona Lisa as the final project for a writing class. In it, I explore the factors that have contributed to make the work by Leonardo Da Vinci, arguably, the most famous painting of all time.
Leonardo's painting - Who is Mona Lisa ver 2.0Jerry Daperro
Leonardo was born in or near the town of Vinci, about half way between Florence and Pisa, on 15 April 1452. He was the illegitimate son of a rising Florentine legal official Ser Piero da Vinci. He was good at drawing and was enrolled with the leading Florentine artist of Verrocchio in 1469, at the age of 17. Leonardo was probably the greatest artists of the Renaissance. His studies were strictly based in the scientific methods, on vigorous analysis and on objective reasoning. But it was his inquisitive mind that drove the man forever forward to understand our place in nature. According to art historian Helen Gardner, the scope and depth of his interests were without precedent in recorded history. Apart from portraits, religious themes and historical paintings, Leonardo’s greatest legacies were his notebooks and drawings. He influenced many of his contemporary artists, including Michelangelo Raphael, Giorgione and Bramante. Yet he always had a deep distrust of human society. “Alone you are all yourself.”
The Mona Lisa (Monna Lisa or La Gioconda in Italian; La Joconde in French) is a half-length portrait of a woman by Leonardo da Vinci, which has been acclaimed as "the best known, the most visited, the most written about, the most sung about, the most parodied work of art in the world"
Galleria Nazionale d'art Antica - Corsini, RomeJerry Daperro
The Galleria Nazionale D’art Antica is the most important Painting gallery in Rome. It is mainly based in Palazzo Barberini, while Corsini is a second venve of the National Gallery. It was first open in 1895. Its collection is also second to the collection in Barberini. In general the description of the painting on exhibits is poor in comparison with other capital in Europe. Vital information is often missing. The Galleria Corsini is the only collection of paintings in Rome dating from the 1700s that remains intact from that period. The entire collection of artworks was sold to the Italian government in 1883. When you arrive at the gallery you are given sheets of papers describing the individual paintings in different rooms. However the gallery is situated on the eastern side of the River Tiber, which is a more of a local and student area of the city. The area is worse exploring.
Внимание!
Набираем лидерский актив в старт ап!
* Лидерские возможности даются не всем и не всегда! *
А ЭТО ВОЗМОЖНОСТЬ ЗАРАБАТЫВАТЬ В ИНТЕРНЕТЕ ПРИЛИЧНЫЕ ДЕНЬГИ!
(от 1000$ до 5000$ в месяц)
Лидерам с командами особые условия...
Подробности в скайпе volf30135sergey
Не опусти свой шанс!
The Mona Lisa (Monna Lisa or La Gioconda in Italian; La Joconde in French) is a half-length portrait of a woman by Leonardo da Vinci, which has been acclaimed as "the best known, the most visited, the most written about, the most sung about, the most parodied work of art in the world"
Galleria Nazionale d'art Antica - Corsini, RomeJerry Daperro
The Galleria Nazionale D’art Antica is the most important Painting gallery in Rome. It is mainly based in Palazzo Barberini, while Corsini is a second venve of the National Gallery. It was first open in 1895. Its collection is also second to the collection in Barberini. In general the description of the painting on exhibits is poor in comparison with other capital in Europe. Vital information is often missing. The Galleria Corsini is the only collection of paintings in Rome dating from the 1700s that remains intact from that period. The entire collection of artworks was sold to the Italian government in 1883. When you arrive at the gallery you are given sheets of papers describing the individual paintings in different rooms. However the gallery is situated on the eastern side of the River Tiber, which is a more of a local and student area of the city. The area is worse exploring.
Внимание!
Набираем лидерский актив в старт ап!
* Лидерские возможности даются не всем и не всегда! *
А ЭТО ВОЗМОЖНОСТЬ ЗАРАБАТЫВАТЬ В ИНТЕРНЕТЕ ПРИЛИЧНЫЕ ДЕНЬГИ!
(от 1000$ до 5000$ в месяц)
Лидерам с командами особые условия...
Подробности в скайпе volf30135sergey
Не опусти свой шанс!
Top Secret - The Secure Internet Starts HereTom Millitzer
On rare occasion does a company or individual think outside the box. Cyber Security is the same. IT engineers add layer upon layer of super firewalls, this filter, and that spam protector. Recently they do this with artificial intelligence to guess what is going to happen next and beef up the walls with some more caulk or plaster. ENOUGH OF THE SAME.
My client takes a proactive approach rather than a reactive approach to internet security. Malware, viruses, ransomware, DDoS attacks, yes fill in the blank are thwarted.
Welcome to the first secure world.
10 Realizations About Prayer
From the writings of Charles Fillmore.
Blessings, Clive deLaporte
Spiritual Director
Licensed Unity Minister
Website: www.clivedelaporte.com
Email: clivedelaporte@gmail.com
Facebook: www.facebook.com/clivedelaporte
Vimeo Videos: https://vimeo.com/user22789570/videos
Leonardo da Vinci, The Dream And The DreamerTon Pascal
“Perfect, perfect, perfect,” says Professor Carlo Pedretti of the recently discovered ‘Horse and Rider’, a bronze sculpture by Leonardo da Vinci, May 2012. This bronze was cast from a mold handcrafted by the master in beeswax over five centuries ago…
Leonardo’s dreams seem to have surpassed the dreamer. It is amazing to see all of his lost objects popping up all over the world. It is no wonder since Leonardo lived like a nomad for the most part of his life. At times on the road, he would trade a painting or a sculpture with a farmer for the simple living necessities. So, in the end he had work scattered all over the Italian territory, but not necessarily in rich Palaces.
Social Media Listening come primo step di ingaggio nel customer journeySmarter Engagement
Paolo Trevisan / Marco Colusso - ESTILOS - Intervento a Smarter Engagement 2016: http://2016.smarterengagement.com/session/social-listening-come-primo-step-di-ingaggio-nel-customer-journey/
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
5. Classic NLP pipeline
1 The the DT O 3 det
2 Mona Mona NNP O 3 compound
3 Lisa Lisa NNP O 8 nsubj
4 is be VBZ O 8 cop
5 a a DT O 8 det
6 16th 16th JJ DATE 8 amod
7 century century NN DATE 8 compound
8 oil oil NN O 0 ROOT
9 on on IN O 10 case
10 canvas canvas NN O 8 nmod
11 painted paint VBN O 10 acl
12 by by IN O 13 case
13 Leonardo Leonardo NNP PERSON 11 nmod
14 .. . O _ _
1 It it PRP O 3 nsubjpass
2 's be VBZ O 3 auxpass
3 held hold VBN O 0 ROOT
...
10. The graph of concepts
The Mona Lisa is a 16th century oil on canvas
painted by Leonardo. It's held at the Louvre in
Paris.
11. The graph of concepts
The Mona Lisa is a 16th century oil on canvas
painted by Leonardo. It's held at the Louvre in
Paris.
12. The graph of concepts
PERSON
birthDate
birthPlace
deathDate
authorOf
...
CONCEPT
...
WORK
...
PLACE
coords
capitalOf
population
...
BUILDING
coords
...
13. paris
leonardo
oil on canvas
mona lisa
Oil painting
Paris
(mythology)
Mona Lisa
(painting)
Mona Lisa
(movie)
Paris (city)
Leonardo
da Vinci
Leonardo
do Nascimento
Spots
(aka mentions, surface
forms)
Concepts
14. Advantages
• Less training
• Speed
• Customization
• Robustness to syntax
• … but still (may) use classic NLP to
improve results
16. Applications: an example
Cameron wins the Oscar
Cameron wins general elections
All nominees for the Academy Awards
See more on
https://dandelion.eu
18. Use case #1
Lawful interception
Identify potential terrorism threats on
social networks and message boards
Customized domain-specific taxonomy
19. Use case #2
Website tagging
Profile a company looking at his website
• Entity extraction: products, locations
• People & Roles
Sales intelligence
for lead generation
http://atoka.io
20.
21. Use case #3
News stream monitoring
News stream of 70k articles per day
• BI vertical of semantic engine
• Entity extraction: companies, people
• Business signals extraction
22.
23. Use case #4
Social media analysis
• Entity extraction, sentiment analysis
• Dashboard, tag-cloud
24. Use case #5
Travel recommendation
Crawl the web and understand people’s behavior
Display travel offers that match user preferences
25. Use case #6
E-Commerce Optimization
Collect and annotate customer reviews from e-
commerce websites
Dashboard for product ratings analysis