The latest fad in human resources, using big data analytics and personality test scores to predict who is best for a given job – so-called “XQ.”. Do the scores capture accurately all the required skills?
GIAF USA Winter 2015 - Measuring collaboration in a multiplayer gameLauren Cormack
Measuring collaboration in a multiplayer game by Dierdre Kerr, Associate Research Scientist at Educational Testing Service (ETS).
The kind of collaborator an individual is can have a huge impact on not only their game experience, but their teammates’ experiences as well. However, determining this solely from in-game behavior can be a difficult task. In this talk, you will hear about the different types of collaborative behavior anticipated in game environments, how evidence about an individual’s collaboration type can be identified from the log data, and how that evidence might be used to create a better player experience.
Data come from everywhere and everyone, but we need to be able to analyze them in a way to improve performances
Companies need to work faster but they also have to use those data to anticipate and innovate
Data Analytics with Managerial Applications InternshipJahanvi Khedwal
What People Analytics can't Capture(by Daniel Goleman)
-Data Analytics with Managerial Applications Internship under Prof. Sameer Mathur, IIM Lucknow.
By Jahanvi Khedwal, NIT Raipur(C.G.)
All managers and leaders are in the influencing business. We need to persuade people every day to take certain courses of action. This presentation will explore the four influencing strategies and how you can improve your ability to influence ethically and honestly. Practical and easy to implement tools are shared during this presentation.
Influence is the lifeblood of leadership. What are the four strategies to influence anybody about anything? Good influencers use a variety of ways to persuade their colleagues and team members. This session is designed to broaden and deepen the leader’s influencing capability.
Influence is the lifeblood of leadership. What are the four strategies to influence anybody about anything? Good influencers use a variety of ways to persuade their colleagues and team members. This session is designed to broaden and deepen the leader’s influencing capability.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
GIAF USA Winter 2015 - Measuring collaboration in a multiplayer gameLauren Cormack
Measuring collaboration in a multiplayer game by Dierdre Kerr, Associate Research Scientist at Educational Testing Service (ETS).
The kind of collaborator an individual is can have a huge impact on not only their game experience, but their teammates’ experiences as well. However, determining this solely from in-game behavior can be a difficult task. In this talk, you will hear about the different types of collaborative behavior anticipated in game environments, how evidence about an individual’s collaboration type can be identified from the log data, and how that evidence might be used to create a better player experience.
Data come from everywhere and everyone, but we need to be able to analyze them in a way to improve performances
Companies need to work faster but they also have to use those data to anticipate and innovate
Data Analytics with Managerial Applications InternshipJahanvi Khedwal
What People Analytics can't Capture(by Daniel Goleman)
-Data Analytics with Managerial Applications Internship under Prof. Sameer Mathur, IIM Lucknow.
By Jahanvi Khedwal, NIT Raipur(C.G.)
All managers and leaders are in the influencing business. We need to persuade people every day to take certain courses of action. This presentation will explore the four influencing strategies and how you can improve your ability to influence ethically and honestly. Practical and easy to implement tools are shared during this presentation.
Influence is the lifeblood of leadership. What are the four strategies to influence anybody about anything? Good influencers use a variety of ways to persuade their colleagues and team members. This session is designed to broaden and deepen the leader’s influencing capability.
Influence is the lifeblood of leadership. What are the four strategies to influence anybody about anything? Good influencers use a variety of ways to persuade their colleagues and team members. This session is designed to broaden and deepen the leader’s influencing capability.
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
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.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
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
3. Experts caution that big
data, like any other, is
only as good as the
questions being asked –
and that some
algorithms can make
unhelpful assumptions.
6. Big data needs a hard outcome metric for
performance, but the most readily available
metrics may not actually be the most important
variables in organizational flourishing.
7. A boss who focus
too much on
performance at
the expense of
people can be
ruinous to the
organization
over the long
term.
9. The strongest predictor of a person’s future
behavior is their past performance itself. And
that performance gets evaluated best by people
who know that person well.