This document discusses risk taking and decision making under uncertainty. It notes that life is finite, resources are limited, and opportunities are scarce. While doing nothing is still a decision, risk taking implies change which many see as threatening. Throughout history, people have sought to predict the future through religion, superstition, and gambling. More recently, thinkers have developed quantitative approaches to assessing risk and reward based on probabilities, costs, and potential gains to make informed decisions under uncertainty.
Psychological determinants of human judgment & decision makingReading Room
Professor Peter Ayton is deputy dean of Social Science at City University London and one of the foremost leaders in the realms of decision theory which is very relevant to our experiences online and of course in wider communications. Peter talks about our judgements and how rational thought (or rather lack there of!) comes into play. Plus there is a little bit about how compromise effects which cheese burger we decide to order!
Human beings were not designed as isolated individuals. We're essentially super social apes. This has major implications on how we, marketeers, influence our audiences.
This presentations elaborates on popular theories from social psychology and translates them into learnings for marketing.
This presentation was given at the university of Antwerp for an audience of master students in applied economics.
Psychological determinants of human judgment & decision makingReading Room
Professor Peter Ayton is deputy dean of Social Science at City University London and one of the foremost leaders in the realms of decision theory which is very relevant to our experiences online and of course in wider communications. Peter talks about our judgements and how rational thought (or rather lack there of!) comes into play. Plus there is a little bit about how compromise effects which cheese burger we decide to order!
Human beings were not designed as isolated individuals. We're essentially super social apes. This has major implications on how we, marketeers, influence our audiences.
This presentations elaborates on popular theories from social psychology and translates them into learnings for marketing.
This presentation was given at the university of Antwerp for an audience of master students in applied economics.
Culture, everybody does it, everybody knows about it, nobody talks about it. Culture is more than food fashion and fun. And Nursing culture is Nursing culture. Focus on the Platinum Rule
Educational Autobiography - Free Essay Sample. 005 Educational Autobiography Template College Sample Essayss 87431 .... 012 Best Photos Of Personal Autobiography Essay Samples How To Write An .... Autobiography For Graduate School. 013 Student Autobiography Template College Example Essential Likeness .... 12 Literacy Autobiography Essay Examples Gif - Petui. Autobiographical Essay. 40 Autobiography Examples Autobiographical Essay Templates. Autobiography Essay Format. 12 Sample Autobiography Of A College Student DocTemplates. Download Autobiography Template 15 Autobiography Template .... Short autobiography examples for students. Autobiography Of A High .... Autobiography Outline Template - 23 Examples and Formats. Teacher Autobiography Example A Resumes for Teachers. Example Of Autobiography About Yourself New Autobiography A Highschool .... Download Autobiography Template 17 Autobiography template .... Autobiographical Essay Template PDF. Educational Autobiography part 1. Educational Autobiography - My eportfolio. Example Of Autobiography About Yourself Awesome 10 Autobiography .... Autobiography Sample For High School Students Master of Template Document. Biographical Essay About Yourself Example Sitedoct.org. 012 Essay Example Student Autobiography 87369 Sample About Thatsnotus. Start critique essay book - frankensteincoursework.x.fc2.com Educational Autobiography Essay Educational Autobiography Essay. 40 Autobiography Examples Autobiographical Essay Templates
Télécharger Gratuit Personal Analysis Essay Sample. ⛔ How to write self assessment essay. Self Assessment Essay Examples .... FREE 22+ Sample Essay Templates in MS Word | Google Docs | Pages | PDF. 002 Essay Example Personal ~ Thatsnotus. Analysis Essay.
8 MOTIVATIONAL QUOTES TO REMIND YOU TO PERSISTSteven Rhyner
My personal mantra is to never give up. I've practiced it all my life. To give up is to admit defeat and no one likes to lose. However your live your personal and business life I hope you'll do the same thing. Never give up!
Culture, everybody does it, everybody knows about it, nobody talks about it. Culture is more than food fashion and fun. And Nursing culture is Nursing culture. Focus on the Platinum Rule
Educational Autobiography - Free Essay Sample. 005 Educational Autobiography Template College Sample Essayss 87431 .... 012 Best Photos Of Personal Autobiography Essay Samples How To Write An .... Autobiography For Graduate School. 013 Student Autobiography Template College Example Essential Likeness .... 12 Literacy Autobiography Essay Examples Gif - Petui. Autobiographical Essay. 40 Autobiography Examples Autobiographical Essay Templates. Autobiography Essay Format. 12 Sample Autobiography Of A College Student DocTemplates. Download Autobiography Template 15 Autobiography Template .... Short autobiography examples for students. Autobiography Of A High .... Autobiography Outline Template - 23 Examples and Formats. Teacher Autobiography Example A Resumes for Teachers. Example Of Autobiography About Yourself New Autobiography A Highschool .... Download Autobiography Template 17 Autobiography template .... Autobiographical Essay Template PDF. Educational Autobiography part 1. Educational Autobiography - My eportfolio. Example Of Autobiography About Yourself Awesome 10 Autobiography .... Autobiography Sample For High School Students Master of Template Document. Biographical Essay About Yourself Example Sitedoct.org. 012 Essay Example Student Autobiography 87369 Sample About Thatsnotus. Start critique essay book - frankensteincoursework.x.fc2.com Educational Autobiography Essay Educational Autobiography Essay. 40 Autobiography Examples Autobiographical Essay Templates
Télécharger Gratuit Personal Analysis Essay Sample. ⛔ How to write self assessment essay. Self Assessment Essay Examples .... FREE 22+ Sample Essay Templates in MS Word | Google Docs | Pages | PDF. 002 Essay Example Personal ~ Thatsnotus. Analysis Essay.
8 MOTIVATIONAL QUOTES TO REMIND YOU TO PERSISTSteven Rhyner
My personal mantra is to never give up. I've practiced it all my life. To give up is to admit defeat and no one likes to lose. However your live your personal and business life I hope you'll do the same thing. Never give up!
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.
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.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
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
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
2. Risk Taking
Time is Finite and Limited – We Age and Die
Our Resources are Limited
Our Endurance and Perseverance has Limits
Our Opportunities are Limited
Doing Nothing is still a Decision
What is the Utility Function or Risk versus Reward?
Risk Taking Means Change
A Lot People See Change as a Threat are Risk
Adverse
3. Change
SWOT- Strengths, Weaknesses, Opportunities, Threats
We Are More Motivated by Threats than
Opportunity
Example of Dostoevsky – threat of death squad
made a lasting impression on him not to waste time –
he could die at any time. Life is brief.
Example of Cortez – he had to burn his boats –
failing to conquer the Aztecs they would all perish.
4. Change
Embrace risk taking
Cross the Rubicon for Caesar - Irreversible
Make it New
Expect to Fight
Make it a Way of Life
Courage – do that which is difficult or risky
Perseverance – courage in perpetual motion
Xenophon – chief battle in his mind not obstacles of
rivers, mountains, and long journey. He resolved to act
and flee a highly dangerous situation.
5. History
From dawn of history mankind longed to peer into
the haze of the future to predict it.
Old ancient school left it to whims of the gods,
omens, prophets, soothsayers, and seekers of oracles.
The future was outside of anyone’s ability to control.
One was left to the mystery of fate. We relied on
superstition, traditions, or an accepted fatalism
At a practical level there was a fascination with
gambling and the thrill/profit/drama winning
brought.
6. World Views
Christian West: The general population relied on the clergy
and the monarchies. The people were dependent on them
to tell them how to view life.
Christian Reformation: The priesthood of the believer
fostered individualism. One could change their future. All
occupations of honorable work had equal validity. One
could change their future. Thrift and abstinence were
forward looking virtues of self denial.
The rise of trade and commerce meant traders needed a
means to deal with risk. The insurance trade was given
birth. Math and the recording of math had to occur to
make this efficient and effective. The wide spread literacy
given by the printing press made this possible. Double
entry bookkeeping was invented.
7. Other Worldviews
Hinduism and Buddhism: The Hindus gave the world
“zero” something that was foreign to the West until embraced.
Life was viewed as circular of a birth death rebirth cycle one
found themselves fatally caught. How could one change their
station in life?
Islam: Time is linear. Birth, death, and resurrection.
Everything existed under the domination of the “will of Allah”.
It led to a certain fatalism. One could not control their destiny
other than through jihad or martyrdom.
Far East: One experienced the cult like worship of the
Emperor or Emperor worship. The Emperor controlled
one’s destiny. The individual was to serve the state.
8. Pascal’s Wager
Wager
Assume
God
Exists
If True there would be consequences –
so find peace with Him
If False there would be no
consequences
Assume
No God
If true No consequences
If False: Fatal irreversible
consequences at stake
He showed from a pragmatic point of view to disregard God in one’s
worldview could have profound fatal consequences
9. How Decisions Should be Made
Risk versus Reward
Quantitatively – how much is gained vs lost
Usually we can risk a little to gain a lot thus the lottery
Usually we avoid a risk where we lose all – we are risk adverse
Qualitatively
What quality do we seek?
Utility – high or low depends on the person
Probabilities need to be calculated
Sampling is needed to gauge risk taking or probabilities
Poor decisions more likely if hungry, angry, lonely, tired
known as HALT
10. Early Examples
Graunt’s and Halley looked at London mortality. It
gave trends and helped set life insurance premiums.
England coffee house – Lloyds of London
Stockbroker appeared 1688
Wealth previously inherited now could be earned,
discovered, accumulated, invested, and yes a desire
to protect it from loss appeared
Bernoulli’s – value of an item must not be purely its
price. What is its utility to the user? Expected value
is not enough. Subjectively enters into calculations
11. Assumed Good
Decision
Assumed Poor
Decision
Good Results (Gain) Example 1 90% Example 2 10%
Bad Results (Loss) Example 3 10% Example 4 90%
A Good or Poor Decision oftentimes irrevocable in nature can have good
and sometimes poor results. Four possible outcomes.
• Good Decision: Based on facts on hand the best of all possible choices
• Bad Decision: Crafted while hungry, angry, desperate, or tired done at
times impulsively, perhaps ill advised, or mistakenly informed
Example 1: Purchase a house at the right time, under the right
conditions, that proves to increase in value dramatically
Example 3: Purchase a house and a better house at a lower price appears
the following month. Or next month you lose your job or the city plans a
waste facility next door.
Example 4: Enter into an ill advised long term lease. Somehow unseen
economic conditions make you abandon the lease thus hurting your
credit.
Example 2: Enter into an ill advised long term lease. Somehow unseen
economic conditions make the landlord want to buy you out of your
lease at a premium.
12. Cost Versus Reward
We Are More Motivated by Threats (Cost) than Reward
Effort Pain
Range 0% to 100%
0% - no effort –
complacent – do
nothing
50% half hearted
commitment
100% all out goal
seeking which
means heighten
level of devotion
to do – burn the
boats – live or die
Pain Range –
100% vs +100%
0% - no
effort
50% - mild
to annoying
100% -
notable self
sacrifice and
denial for a
reward
Short vs Long
Time Frame
Time Range –
0% - no
pain – no
gain
50% - some
pain some
gain
100% -
short term
pain long
term gain
Paradox: Short term pleasure leads to long term pain. Prudence long term self denial leads to
pleasure.
13. Fools Rush in Where Angels Fear to Tread
Prudence and Cowardice have this in common: Take no
action that could have a negative consequence. Be quiet.
Say nothing. Do Nothing. Risk nothing. Angels fear to
tread.
Imprudence and Bravery have this in common: Take a risk
that has a host of emotional components.
Fear of failure yet expectation of reward. Fools rush in. The
fool short term gain of pleasure long term loss. The brave
heart short term pain for long term invisible pleasure of
sustaining and rescuing a life.
Risk appearing foolish versus brave – thus a fool impulsively
acts in a reckless fashion – a brave one places his reputation,
safety, finances, physical and mental natures at risk. Exposed.
Vulnerable.