This appears to be data from a survey or study with 57 respondents. The document contains numerical data organized into rows with identifying codes for each respondent and their responses to various questions or measures. It provides quantitative information about 57 individuals or cases.
This ppt describes one of the interesting algorithms to count the number of bits set in an unsigned integer.
x = (x & 0x55555555) + ((x>>1)&0x55555555));
x = (x&0x33333333) + ((x>>2)&0x33333333);
...
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Design is as good (or flawed) as the people who make itKayla J Heffernan
Talk given at UX Australia 2016 held in Melbourne.
ABOUT THE TALK:
No one sets out to intentionally design a system that is hard to use for - or worse, excludes or discriminates against - some users. Designers are trying their best. You're probably a good person, but a human nonetheless, therefore not perfect. Design can only be as good as the people who make it. Conversely, design is as flawed as the people who make it.
ABOUT THE SPEAKER:
Kayla Heffernan is a user and experiencer of products, frustrated with mediocrity and a passionate advocate for the voice of all users. Kayla is a UX designer at SEEK and also undertaking a PhD in Interaction Design looking at digital insertables. In her spare time… she doesn’t have any.
This ppt describes one of the interesting algorithms to count the number of bits set in an unsigned integer.
x = (x & 0x55555555) + ((x>>1)&0x55555555));
x = (x&0x33333333) + ((x>>2)&0x33333333);
...
....
Design is as good (or flawed) as the people who make itKayla J Heffernan
Talk given at UX Australia 2016 held in Melbourne.
ABOUT THE TALK:
No one sets out to intentionally design a system that is hard to use for - or worse, excludes or discriminates against - some users. Designers are trying their best. You're probably a good person, but a human nonetheless, therefore not perfect. Design can only be as good as the people who make it. Conversely, design is as flawed as the people who make it.
ABOUT THE SPEAKER:
Kayla Heffernan is a user and experiencer of products, frustrated with mediocrity and a passionate advocate for the voice of all users. Kayla is a UX designer at SEEK and also undertaking a PhD in Interaction Design looking at digital insertables. In her spare time… she doesn’t have any.
People Power1.What is the purpose of the event specifications gu.docxkarlhennesey
People Power
1.What is the purpose of the event specifications guide (ESG) and who should receive a copy of it?
Who should be present at the pre-convention meeting and why?
Event Technology
2.A meeting professional needs to inform attendees that a speaker session has been moved from one room to another the morning of the session. Describe three ways event technology can be used to alert attendees.
3.What is the purpose of using technology on site? Please list at least three new onsite technologies tools have been applied to meeting industry.
Legal issues:
4.What are some of the challenges with attrition and cancellation that meeting professionals often confront? Please list three challenges and explain each one.
5.What does event insurance cover? Please list three event insurance coverages and explain each one.
Green Meetings:
6.What are the strategies meeting manager can use to operate a green meeting (at least 3 strategies)? Please explain each one.
7.How can meeting managers involve attendees in green efforts at facilities?
8.Meeting managers can require green efforts in the facilities they utilize. How can facilities encourage meeting managers to hold green meetings?
Closing the meeting:
9.Closing the meeting is usually a very busy time, with everyone anxious to leave. The meeting staff is tired and wants to return home. Please list and briefly introduce actions to take, when close the meeting (at least four actions).
10.What are the differences between “tip” and “gratuity”? What are the criteria help event operator to determine the amount of tip for each individual?
11.What are the guidelines to organize a post-convention meeting?
Getting Started
Getting Started
In this practice you will be working with a variation of the flight data in the workbook entitled Data_Blending_Practice_Starter_File.
Save the workbook to your desktop or a USB drive.
Delays Due to Visibility
Delay Created by Visibility Issues
We’re interested in exploring the relationship between Visibility (Visibility in the ORD Weather data) and Actual Delay at the scheduled departure time (CRS_DEP_TIME in the ORD_Analysis data).
Working in the ORD_Analysis worksheet, add a column after the one you added for WEATHER_ISSUES, name it DEP_VISIBILITY.
Assign the Range Name W_VISIBILITY to the Visibility column data in the ORD_Weather Tab.
Populate the DEP_VISIBILITY column from the range W_VISIBILITY using an array formulaand the same formula elements (IF, MATCH, INDEX) used to bring in the Weather information at CRS_DEP_TIME referencing W_VISIBILITY. Use the IFNA function to resolve the #NA issues that resulted from your formula.
Create a Scatter Plot, in a new worksheet entitled Visibility vs Delay, with VISIBILITY as the y-axis, and ACTUAL_DELAY as the x-axis. It should resemble the chart below. (NOTE: You can't create a scatterplot by inserting a pivot chart. Check Lynda or your favorite internet search engine for how to insert a scatterplot.)
Wha ...
Horses for Courses: Deep Learning Beyond Niche ApplicationsNikita Johnson
Machine learning in general and deep learning in particular are driving major advances for a wide range of specific finance use cases. This talk will outline how enterprise-wide learning loops will extend these point success to a coherent AI strategy and also show what other elements are required for success, using real-world examples at Prudential plc.
Watch the presentation here: http://videos.re-work.co/events/36-deep-learning-in-finance-summit-london-2018