For past few weeks every day one of my office friends asks me in front of everyone the same question - “So, how many medals did India win?” and then smiles. Finally India opened its account with a bronze by Sakshi Mallik and tomorrow PV Sindhu will play in the gold medal match against Spaniard. It is a matter of immense pride for us that athletes are able to give their best despite negligible help from Govt. authorities. India is a country of 1.2 Billion people and winning a couple of medals and taking pride in it doesn’t add to the equation. Yes, it doesn’t but what adds to the equation is that there are winners despite lack of resources.
Table tennis india usa twin prj 01 olympics rio 2016 +Avi Dey
sports circle Community Twining Demo 01 C2C , after Olympics Rio 2016 to build peace, community vitality, and more. Community Twining is a "success model" from post World War II Europe, specially, Germany & France .
Table tennis india usa twin prj 01 olympics rio 2016 +Avi Dey
sports circle Community Twining Demo 01 C2C , after Olympics Rio 2016 to build peace, community vitality, and more. Community Twining is a "success model" from post World War II Europe, specially, Germany & France .
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Our major goal is to help you achieve your academic goals. We are commited to helping you get top grades in your academic papers.We desire to help you come up with great essays that meet your lecturer's expectations.Contact us now at http://www.premiumessays.net/
Sports Awards in India are Good Enough to Bring the Sporting Sprit on Next Levelmajordhyanchand
In sports and awards to get fame and name to sports persons. If you are good enough in your choice of sports, so fill the nomination for sports awards and get the name and fame. To know more information please visit this blog.
This is a small Presentation on
"Declining Condition of Sports in India"
This presentation you would found
> Self explanatory
> Easy to Understand
> Easy to explain
> Impressive
CII’s SCORECARD 2015 was a major initiative
to create a roadmap for India to tap tremendous
business opportunities the sector has to offer. It not
only brought all industry stakeholders under one roof
to deliberate and decide on the course of action, but
also offered a unique opportunity to understand the
challenges that are impeding the sector’s growth.
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
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.
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.
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
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
2. For past few weeks every day one of my office friends asks me in
front of everyone the same question - “So, how many medals did India
win?” and then smiles. Finally India opened its account with a bronze by
Sakshi Mallik and tomorrow PV Sindhu will play in the gold medal match
against Spaniard. It is a matter of immense pride for us that athletes are
able to give their best despite negligible help from Govt. authorities.
India is a country of 1.2 Billion people and winning a couple of medals
and taking pride in it doesn’t add to the equation. Yes, it doesn’t but what
adds to the equation is that there are winners despite lack of resources.
Olympics is a strange event. It comes once in four years and people
cheer for those athletes whose name they would forget in a couple of
days and would go back to usual NBA, Football, Baseball and in Indian
context to Cricket. People forget the olympics for next 4 years but the
participants don’t; olympic gold is a dream for most of the athletes and
requires consistent focus, practice, grit, merit, determination, tenacious
efforts and indelible desire to win.
A country obsessed with cricket and myopic towards other sports
would give myriad reasons why India doesn’t do well at olympics. Google
poor performance of India at olympics and you would find pages after
pages on it and people are denigrating and castigating either govt. or
players for the poor show. Some don’t even consider it a problem; to
them just like space programs of India, sports are waste of resources
which should be channelized towards removing poverty and creating
employment. If you take a look at the medals tally for any past olympic
games you would see that the same nations are being reshuffled in the
top 20-25 spots with very few changes and most of them are the first
world nation as they like to call themselves. Olympics data can act as a
reference to HDI (Human Development Index) of a country than merely
3. referring to the raw talent present in the nation. How do we measure
growth of an economy? With help of GDP, so let’s see how top GDP
nations are doing at olympics.
India and Brazil are way too off here. We might need another
statistic to measure. GDP per capita should be our choice. Most of the
above listed countries rank high on GDP per capita except India, Brazil,
China and Russia. Despite low GDP per capita China and Russia’s success
can be attributed to their Govt. that focuses on either institutionalizing
the games or by treating these games as wars in which gold or nothing
attitude helps them. The same can be observed for Hungary, Cuba,
Ukraine etc - all of them have/had totalitarian regimes and they focused
US China Japan Germany UK France
India Italy Brazil Canada Korea Spain
Australia Russia
4. on very few sports and mastered them. India’s GDP per capita is low and
that translates to fewer resources for common man and concentration of
wealth to certain strata of the society. Fewer resources means fewer
opportunities and poor infrastructure. Corruption at bureaucratic level
also feeds on the system and is sucking the marrow out of it.
In nutshell, there is a problem and the first step to solve any
problem is to acknowledge that there is one and then only one can take a
minuscule step towards the solution otherwise it is akin to groping in
dark for the answers to unknown puzzles.
Let’s look at data of 2012 Olympics held in London.
Out of total 962 medals awarded, 61% were won in 9 sports and
rest in others. Athletics and Swimming accounted for 26% of the total.
Judo Swimming Wrestling Boxing Cycling
Athletics Badminton Canoeing Weightlifting Others
5. The same can be seen easily in the bar chart, the athletics and
swimming peaks are higher than anything else. USA, usual number 1 spot
holder in summer olympics, knows this stat and exploits it. In 2012, USA
won 104 medals and 60 came in either Gymnastics or Swimming.
Judo
Swimming
Wrestling
Boxing
Cycling
Athletics
Badminton
Canoeing
Weightlifting
Others
0 100 200 300 400
Gymnastics Swimming Others
6. Same is the case with Cuba, a small country with a total of 209
medals in Olympic history. 68% of their medals are in boxing, athletics
and Judo. This is an example of focused use of resources.
Jamaica and Ethiopia are other great examples of such focused
practices. Jamaica has won 69 medals in total and 68 have come in
sprinting.
Boxing + Athletics + Judo Others
7. Rio olympics are in progress and similar observations can be drawn
from the medals tally. Out of 770 medals awarded till now, 103 have
come in swimming, 96 in athletics and approx. 50 each in shooting and
wrestling.
Countries that have focused on promoting the games that they are
likely to win get medals in those sports. Look at history of your country
and check what sports we are likely to succeed in? In Indian context there
are badminton, wrestling, weightlifting, mixed doubles tennis in the list.
High rewarding sports such as swimming should be focal point and so
should be athletics. They are highly rewarding. USOC puts more funds in
Swimming Athletics Wrestling Shooting Others
8. swimming than may be at equestrian and all of us know how well this
strategy has paid off. England too after dismal performance in Atlanta
olympics focused on few sports and we have started seeing it in top 5
and in Rio 2016 is at number 2 next to US.
India doesn’t lack talent but resources. Focus on highly rewarding
sports, institutionalizing of games that see through the results, removal of
bureaucratic systems that are non functional or bring nepotism are
cancerous to growth of the cause. The notion of academics > sports and
sports = only cricket should also be tackled that are deep rooted in
Indian psyche and then we certainly would find ourselves high on the
medals tally.