Are you a Data Scientist working in the Real Estate industry? Are you trying to build a Data Science team with expertise in spatial?
We bring the London Real Estate Data Science community together to discuss use cases such as whitespace analysis, twin area analysis & indoor analytics - sharing best practices and experiences from both residential and commercial.
Jaime Sanchez walked through a specific case of Spatial Data Science applied to Shared Workspace investment analysis, with an interactive component, before we break out into a discussion about the challenges and opportunities of building Data Science teams in the Real Estate sector.
Geolytix joined the conversation to speak about location planning. As trusted advisors, they help their customers decide how many stores, who to acquire, where to open, which format and how to
optimize home delivery and click & collect operations.
Visit our website for more information: https://carto.com/
As per Gartner, global revenue in the business intelligence (BI) and analytics software market is forecast to reach $18.3 billion in 2017, an increase of 7.3 percent from 2016, according to the latest forecast from Gartner, Inc. By the end of 2020, the market is forecast to grow to $22.8 billion.
Are you a Data Scientist working in the Real Estate industry? Are you trying to build a Data Science team with expertise in spatial?
We bring the London Real Estate Data Science community together to discuss use cases such as whitespace analysis, twin area analysis & indoor analytics - sharing best practices and experiences from both residential and commercial.
Jaime Sanchez walked through a specific case of Spatial Data Science applied to Shared Workspace investment analysis, with an interactive component, before we break out into a discussion about the challenges and opportunities of building Data Science teams in the Real Estate sector.
Geolytix joined the conversation to speak about location planning. As trusted advisors, they help their customers decide how many stores, who to acquire, where to open, which format and how to
optimize home delivery and click & collect operations.
Visit our website for more information: https://carto.com/
As per Gartner, global revenue in the business intelligence (BI) and analytics software market is forecast to reach $18.3 billion in 2017, an increase of 7.3 percent from 2016, according to the latest forecast from Gartner, Inc. By the end of 2020, the market is forecast to grow to $22.8 billion.
Artificial Intelligence and the Cognitive Revolution – the next frontier?Level
With some reports suggesting that nearly one fifth of shared service functions are already investing in AI and cognitive technology, can you afford not to find out about the potential rewards?
An exclusive masterclass, originally presented in May 2018 at the Shared Services & Outsourcing Week event in Lisbon.
For more information, visit www.level.global.
Official statistics should lead the shift and utilize the outcomes of the data revolution era toward developing a smart statistics model, should migrate traditional ways and modernize its process
An invited talk by Paco Nathan in the speaker series at the University of Chicago's Data Science for Social Good fellowship (2013-08-12) http://dssg.io/2013/05/21/the-fellowship-and-the-fellows.html
Learnings generalized from trends in Data Science:
a 30-year retrospective on Machine Learning,
a 10-year summary of Leading Data Science Teams,
and a 2-year survey of Enterprise Use Cases.
http://www.eventbrite.com/event/7476758185
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch: https://bit.ly/2DYsUhD
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
- How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
- How you can use the Denodo Platform with large data volumes in an efficient way
- How Prologis accelerated their use of Machine Learning with data virtualization
DATA SCIENCE IS CATALYZING BUSINESS AND INNOVATION Elvis Muyanja
Today, data science is enabling companies, governments, research centres and other organisations to turn their volumes of big data into valuable and actionable insights. It is important to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. According to the McKinsey Global Institute, the U.S. alone could face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using big data by 2018. In coming years, data scientists will be vital to all sectors —from law and medicine to media and nonprofits. Has the African continent planned to train the next generation of data scientists required on the continent?
What are Entry Level Data Analyst Jobs?: A Guide Skills optnation1
Paid internships and employment training programmes that are directly related to their field of study are permitted for international students holding F-1 student visas, provided that the courses fall under the category of Optional Practical Training to their major subjects of study. You can search for remote data analyst jobs and other OPT positions in the USA with similar specialisations.
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
Rafael Oliveira Bitcoin diz que, na prática, os cientistas de dados trabalham em uma variedade de tarefas, como limpeza de dados, exploração de dados, engenharia de recursos, modelagem e avaliação.
Artificial Intelligence and the Cognitive Revolution – the next frontier?Level
With some reports suggesting that nearly one fifth of shared service functions are already investing in AI and cognitive technology, can you afford not to find out about the potential rewards?
An exclusive masterclass, originally presented in May 2018 at the Shared Services & Outsourcing Week event in Lisbon.
For more information, visit www.level.global.
Official statistics should lead the shift and utilize the outcomes of the data revolution era toward developing a smart statistics model, should migrate traditional ways and modernize its process
An invited talk by Paco Nathan in the speaker series at the University of Chicago's Data Science for Social Good fellowship (2013-08-12) http://dssg.io/2013/05/21/the-fellowship-and-the-fellows.html
Learnings generalized from trends in Data Science:
a 30-year retrospective on Machine Learning,
a 10-year summary of Leading Data Science Teams,
and a 2-year survey of Enterprise Use Cases.
http://www.eventbrite.com/event/7476758185
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch: https://bit.ly/2DYsUhD
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
- How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
- How you can use the Denodo Platform with large data volumes in an efficient way
- How Prologis accelerated their use of Machine Learning with data virtualization
DATA SCIENCE IS CATALYZING BUSINESS AND INNOVATION Elvis Muyanja
Today, data science is enabling companies, governments, research centres and other organisations to turn their volumes of big data into valuable and actionable insights. It is important to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. According to the McKinsey Global Institute, the U.S. alone could face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using big data by 2018. In coming years, data scientists will be vital to all sectors —from law and medicine to media and nonprofits. Has the African continent planned to train the next generation of data scientists required on the continent?
What are Entry Level Data Analyst Jobs?: A Guide Skills optnation1
Paid internships and employment training programmes that are directly related to their field of study are permitted for international students holding F-1 student visas, provided that the courses fall under the category of Optional Practical Training to their major subjects of study. You can search for remote data analyst jobs and other OPT positions in the USA with similar specialisations.
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
Rafael Oliveira Bitcoin diz que, na prática, os cientistas de dados trabalham em uma variedade de tarefas, como limpeza de dados, exploração de dados, engenharia de recursos, modelagem e avaliação.
Similar to 2016 SDMX Experts meeting, ILOSTAT ART Analysis & Reporting Tool (20)
Presentation from Tatsuyoshi Oba, Executive Manager of Group HR Division, Persol Holdings during the OECD WISE Centre & Persol Holdings Workshop on Advancing Employee Well-being in Business and Finance, 22 November 2023
Presentation from Amy Browne, Stewardship Lead, CCLA Investment Management, during the OECD WISE Centre & Persol Holdings Workshop on Advancing Employee Well-being in Business and Finance, 22 November 2023
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
2016 SDMX Experts meeting, ILOSTAT ART Analysis & Reporting Tool
1. SDMX Experts Meeting
SDMX Experts Meeting
17-20 October 2016 – Aguascalientes, México
ILOSTAT ART
ILO Department of Statistics
Analysis & Reporting Tool
2. SDMX Experts MeetingSDMX Experts Meeting
Data Reporting
ILO Department of Statistics 2
Primary
Statistical
Activity
3. SDMX Experts MeetingSDMX Experts MeetingILO Department of Statistics 3
• Questionnaires in Excel, require manual transcription of data
(and metadata) Experts won’t do this job.
• Questionnaires arrive late, when the survey has already been
processed and published Experts are likely to be engaged in
another project.
• Breakdowns are different from those used at national level
Requires re-processing including new mappings
• Variables definitions may differ from those used at national
level Requires re-processing including new calculations
Data Reporting
4. SDMX Experts MeetingSDMX Experts Meeting
LMIS.Stat
ILO Department of Statistics 4
Primary
Statistical
Activity
5. SDMX Experts MeetingSDMX Experts Meeting
Analysis
ILO Department of Statistics 5
Primary
Statistical
Activity
6. SDMX Experts MeetingSDMX Experts Meeting
All together
ILO Department of Statistics 6
Primary
Statistical
Activity
Primary
Statistical
Activity
Primary
Statistical
Activity
7. SDMX Experts MeetingSDMX Experts Meeting
ILOSTAT ART
ILO Department of Statistics 7
ILOSTAT ART
DSD
DATA
REPORTING
LMIS
UPLOAD
LMI
ANALYSIS
MAPPING
8. SDMX Experts MeetingSDMX Experts Meeting
ILOSTAT ART
ILO Department of Statistics 8
ILOSTAT ART
DSD
DATA
REPORTING
LMIS
UPLOAD
LMI
ANALYSIS
GAP
ANALYSIS
MAPPING
VTL
Transf.
VTL
10. SDMX Experts MeetingSDMX Experts Meeting
ILOSTAT-ART highlights
• Tables defined dynamically via a DSD
• Selectable classifications’ versions and variants
• Flexible mapping
• Conditions applied on-the-fly to tally/sum/avg
• Mapping can be saved and re-used (*)
• ILO standard routines for derived variables (*)
• Stand alone + on line access to ILOSTAT (data gaps detection) (*)
• Process microdata and merges downloaded data from ILOSTAT (*)
• Several output formats: .xls, pdf, csv, sdmx
ILO Department of Statistics 10
(*) Coming soon