Novidades no Windows Mobile Line of Business Solution Accelerator 2008Pedro Lamas
Trata-se de uma solução que integra grande parte das tecnologias e serviços móveis da Microsoft, onde serão apresentadas técnicas avançadas para o controlo e gestão de memória e cache, distribuição de aplicações, criação de código para diferentes camadas aplicacionais, localização, etc.
Novidades no Windows Mobile Line of Business Solution Accelerator 2008Pedro Lamas
Trata-se de uma solução que integra grande parte das tecnologias e serviços móveis da Microsoft, onde serão apresentadas técnicas avançadas para o controlo e gestão de memória e cache, distribuição de aplicações, criação de código para diferentes camadas aplicacionais, localização, etc.
Probability is the way of expressing knowledge of belief that an event will occur on chance.
Did You Know? Probability originated from the Latin word meaning approval.
Make use of the PPT to have a better understanding of Probability.
Digging in to ProbabilityBernoullis Theorem If an experiment i.docxtenoelrx
Digging in to Probability
Bernoulli's Theorem: If an experiment is repeated a large number of times, the experimental probability of a particular outcome approaches a fixed number as the number of repetitions increases. (p.519)
1. Restate Bernoulli's Theorem in your own words (aimed at the level of an average nine year old).
2. If you have flipped a fair coin 99 times and gotten tails 79 of those 99 times, what is the chance that the next flip of the coin will come up tails? Why?
Experiment: Roll two distinguishable regular four-sided dice. The sides of each die are labeled 1,2,3, and 4. (You do not have to physically roll the dice. You will use this experiment for the rest of the worksheet.)
3. List all elements of the sample space. (Don't use a tree diagram unless you have to.)
4. Let G be the event that at least one die has a 3. List out the elements of event G. What do you think the probability of event G (written P(G)) is?
5. Let H be the event that both dice have even numbers. List out the elements of event H. What do you think P(H) is?
6. Let I be the event that the sum of the dice is 5. List out the elements of event I. What do you think P(I) is?
7. What is P(G
U
H)? What is P(G
U
I)? What is P(H
U
I)?
Two events are mutually exclusive if they have no elements in common. In other words, their intersection is empty.
8. Look at G;H; and I.
(a) Are G and H mutually exclusive?
(b) Are G and I mutually exclusive?
(c) Are H and I mutually exclusive?
9. Make a conjecture about P(A
U
B) for any generic events A and B that are mutually exclusive.
10. What is P(A
U
B) if A and B are NOT mutually exclusive?
11. Let J be the event that at least one die has an odd number. List out the elements of J. Which of G, H, and I is mutually exclusive to J? What is the probability of the union of that event with J?
Two events are complementary if they are mutually exclusive and P(A
U
B) = 1.
12. Without the concept of probability describe in your own words what it means for two events to be complementary?
Introduction to Probability
Probabilities are ratios. These ratios can be expressed as fractions, decimals, or percents. As the book says, these ratios are based on “outcomes of experiments". But what does this mean? We will explore the idea with an example.
Example: You have 4 colors of socks in your drawer: white, black, red, and gray. You reach in and pull out a sock.
1. What are the possible outcomes of your experiment?
The set of all possible outcomes is called the
Sample Space.
Often times, a sample space can be represented with a tree diagram.
2. What is the sample space if you pull out one sock, record its color, put it back, and then pull out another sock and record its color?
3. Choose a few outcomes from your sample space in question (2).
Any subset of a sample space is called an
Event
.
4. If there are exactly two of each color of sock, what are the chances of your chosen event from (3).
Probability is the way of expressing knowledge of belief that an event will occur on chance.
Did You Know? Probability originated from the Latin word meaning approval.
Make use of the PPT to have a better understanding of Probability.
Digging in to ProbabilityBernoullis Theorem If an experiment i.docxtenoelrx
Digging in to Probability
Bernoulli's Theorem: If an experiment is repeated a large number of times, the experimental probability of a particular outcome approaches a fixed number as the number of repetitions increases. (p.519)
1. Restate Bernoulli's Theorem in your own words (aimed at the level of an average nine year old).
2. If you have flipped a fair coin 99 times and gotten tails 79 of those 99 times, what is the chance that the next flip of the coin will come up tails? Why?
Experiment: Roll two distinguishable regular four-sided dice. The sides of each die are labeled 1,2,3, and 4. (You do not have to physically roll the dice. You will use this experiment for the rest of the worksheet.)
3. List all elements of the sample space. (Don't use a tree diagram unless you have to.)
4. Let G be the event that at least one die has a 3. List out the elements of event G. What do you think the probability of event G (written P(G)) is?
5. Let H be the event that both dice have even numbers. List out the elements of event H. What do you think P(H) is?
6. Let I be the event that the sum of the dice is 5. List out the elements of event I. What do you think P(I) is?
7. What is P(G
U
H)? What is P(G
U
I)? What is P(H
U
I)?
Two events are mutually exclusive if they have no elements in common. In other words, their intersection is empty.
8. Look at G;H; and I.
(a) Are G and H mutually exclusive?
(b) Are G and I mutually exclusive?
(c) Are H and I mutually exclusive?
9. Make a conjecture about P(A
U
B) for any generic events A and B that are mutually exclusive.
10. What is P(A
U
B) if A and B are NOT mutually exclusive?
11. Let J be the event that at least one die has an odd number. List out the elements of J. Which of G, H, and I is mutually exclusive to J? What is the probability of the union of that event with J?
Two events are complementary if they are mutually exclusive and P(A
U
B) = 1.
12. Without the concept of probability describe in your own words what it means for two events to be complementary?
Introduction to Probability
Probabilities are ratios. These ratios can be expressed as fractions, decimals, or percents. As the book says, these ratios are based on “outcomes of experiments". But what does this mean? We will explore the idea with an example.
Example: You have 4 colors of socks in your drawer: white, black, red, and gray. You reach in and pull out a sock.
1. What are the possible outcomes of your experiment?
The set of all possible outcomes is called the
Sample Space.
Often times, a sample space can be represented with a tree diagram.
2. What is the sample space if you pull out one sock, record its color, put it back, and then pull out another sock and record its color?
3. Choose a few outcomes from your sample space in question (2).
Any subset of a sample space is called an
Event
.
4. If there are exactly two of each color of sock, what are the chances of your chosen event from (3).
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
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Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Accelerate your Kubernetes clusters with Varnish Caching
AM40SFeb19
1. * Experimental and Theoretical Probability
In a family of three children, what is the probability that 2 of the children will be girls?
Blaise Pascal
Pierre de Fermat
The Story of Probability
The Chevalier de Mere, a rich Frenchman who liked gambling, was responsible for inviting the
philosopher and mathematician Blaise Pascal to carry out some of the earliest work on
probability theory.
De Mere played a gambling game in which he bet that he could throw a six in four throws of a
die. De Mere progressed from this game to betting that with two dice he could throw a double
six in 24 throws. It was known that the odds were in his favour with the first game, and
gamblers of the time reckoned that as four is to six (the numbers of ways a die can fall) as 24 is
to 36 (the ways two dice can fall), the second game should be favourable. The Chevalier de
Mere was not satisfied with this assumption and asked Pascal to work out the true probabilities.
Source: http://www.probabilitytheory.info/topics/periodic_events.htm
Photo source: http://flickr.com/photos/phitar/7971517/
2. Terms you should know ...
PROBABILITY: The branch of mathematics that deals with chance
SAMPLE SPACE: The set of all possible things that can happen for a given set of circumstances
Example: rolling a die-6, the sample space would be {1, 2, 3,4,5, 6} because these are all the possible
outcomes.
EVENT (E): An event is a subset of the sample space. It is one particular outcome for a given
set of circumstances.
SIMPLE EVENTS: The result of an experimental carried out in 1 step.
Example: Flip a coin. The result is Heads.
COMPOUND EVENT: The result of an experimental carried out in more than one step.
Example: Flip a coin and roll a die. The result is heads and 6.
Calculating the Probability of an Event Probability Can Be Expressed As: • a ratio
• a fraction
• a decimal
• a percent
CERTAIN EVENTS: An events whose probability is equal to 1.
IMPOSIBLE EVENTS: An event whose probability is equal to 0.
IMPORTANT: Probability is always a number between 0 and 1.
3. Write your answers as fractions reduced to lowest terms.
1. What is the probability that a woman will win the Oscar Award for
Best Actress?
2. What is the probability that a 7 shows when rolling a normal six-sided
die?
3. What is the probability that a king is drawn from a normal deck of 52
cards?
4. 4. A bag contains eight blue and five white marbles. What is the probability
of randomly selecting a white marble?
5. A bag contains five red, four green, and three black candies. What is
the probability that you do not select a black candy if you randomly
select one?
5. Complementary Events
The complement of an event, E, is writtin as either E' or E. The complement of an
event refers to the case where E does not occur.
Example: H = Drawing a heart from a deck of cards.
H'(the complement) = Drawing a card that is not a heart.
Calculating complementary probabilities ... P(E) + P(E') = 1
so ...
P(E) = 1 – P(E') or P(E') = 1 – P(E)
Understanding the concept ...
If there are 52 players in a sudden death singles tennis tournament, how many
games must be played in order to determine the winner?
6. In a family of three children, what is the probability that 2 of the children will be girls?
Experimental Probability: The chances of
something happening, based on repeated testing and
observing results. It is the ratio of the number of
times an event occurred to the number of times
tested. For example, to find the experimental
probability of winning a game, one must play the
game many times, then divide the number of games
won by the total number of games played.