1. This document outlines key concepts and examples for Investigation #8 on probability, including favorable and possible outcomes, chance, odds, compound events, independent events, theoretical vs experimental probability.
2. Students have assignments due on Tuesday 4/22 for problems 1-20 of Investigation #8 and a test on Friday 4/25.
3. Examples are provided to demonstrate calculating probabilities of single events, complementary events, compound events by multiplying individual probabilities, and experimental vs theoretical probabilities.
DevOps and Testing slides at DASA ConnectKari Kakkonen
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Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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https://arxiv.org/abs/2306.08302
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https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
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And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
3. Inv. #8.notebook April 17, 2014
*Odds...
Probability: Favorable Outcomes
Unfavorable Outcomes
**A COMPOUND EVENT is composed of 2 or more simple events
***To find the probability of 2 or more events, we multiply the
probability of each event.
Ex-->A coin is tossed and a number cube is rolled...
What is the probability of getting heads and an even number?
4. Inv. #8.notebook April 17, 2014
*Independent Events...
One outcome doesn't affect the next outcome!
**Theoretical Probability: in "theory" this is what should
happen
***Experimental probability: we actually conduct an experiment
to find the probability
5. Inv. #8.notebook April 17, 2014
Investigation #8 Examples:
A) If a single number cube is rolled, what are the "odds" of
getting a 3?
1:5
B) Dave Murray forecast the chance of rain to be 40%. Based
on the forecast, what is the chance it will NOT rain?
60%
6. Inv. #8.notebook April 17, 2014
C) A coin is tossed an this spinner is spun. What is the
probability of heads and an even number?
1/2 x 1/3 =
D) What is the Sample Space for example "C"?
H1; H2; H3; T1; T2; T3
1 2
3
7. Inv. #8.notebook April 17, 2014
E) If a number cube is rolled three times, what is the
probability of getting 6 all three times?
1/6 x 1/6 x 1/6 =
F) If a coin is flipped four times, what is the probability of
getting Heads all four times?
1/2 x 1/2 x 1/2 x 1/2