This one sentence document contains a name, date, and reference to TCPDF, an open source PDF library. It appears to be a basic document with limited information, containing only an individual's name and date, along with an acknowledgement of TCPDF.
Naser Shiqwara wrote a document dated October 30th, 2018. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context or body.
UiPath - Level 3 Certification - Mohd KashifMohd Kashif
The document contains a name, date, and reference to TCPDF, an open-source PHP library used for generating PDF documents. In 3 sentences or less, the document appears to contain metadata about a PDF document generated by Mohd Kashif on July 3rd, 2019 using the TCPDF library.
UiPath - Level 1 Certification - Mohd KashifMohd Kashif
The document contains a name, date, and reference to TCPDF, which is an open source PHP library used for generating PDF documents. In 3 sentences or less, the document appears to contain metadata about a PDF document generated by Mohd Kashif on February 18, 2019 using the TCPDF library.
RPA Solution Architect - UiPath - Mohd KashifMohd Kashif
This document appears to be a single name - Mohd Kashif - along with a date but no other text. In just one sentence, it mentions an individual named Mohd Kashif and includes a date of 5/12/19 but provides no other context or information.
This document contains the name "Amit Trivedi" and a date of "19 December 2016". It appears to be some kind of record containing contact information, but provides very little other contextual details.
Naser Shiqwara wrote a document dated October 30th, 2018. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context or body.
UiPath - Level 3 Certification - Mohd KashifMohd Kashif
The document contains a name, date, and reference to TCPDF, an open-source PHP library used for generating PDF documents. In 3 sentences or less, the document appears to contain metadata about a PDF document generated by Mohd Kashif on July 3rd, 2019 using the TCPDF library.
UiPath - Level 1 Certification - Mohd KashifMohd Kashif
The document contains a name, date, and reference to TCPDF, which is an open source PHP library used for generating PDF documents. In 3 sentences or less, the document appears to contain metadata about a PDF document generated by Mohd Kashif on February 18, 2019 using the TCPDF library.
RPA Solution Architect - UiPath - Mohd KashifMohd Kashif
This document appears to be a single name - Mohd Kashif - along with a date but no other text. In just one sentence, it mentions an individual named Mohd Kashif and includes a date of 5/12/19 but provides no other context or information.
This document contains the name "Amit Trivedi" and a date of "19 December 2016". It appears to be some kind of record containing contact information, but provides very little other contextual details.
Naser Shiqwara wrote a document dated 10/25/18. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context.
Naser Shiqwara wrote a document dated November 1st, 2018. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context or body.
This one sentence document contains a name, date, and reference to TCPDF, an open source PDF library. It appears to be a basic document with limited information, containing only an individual's name and date, along with a reference to a PDF library.
Naser Shiqwara wrote a document dated November 7th, 2018. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context.
Naser Shiqwara wrote a document dated November 5th, 2018. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context or body.
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
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
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.
Naser Shiqwara wrote a document dated 10/25/18. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context.
Naser Shiqwara wrote a document dated November 1st, 2018. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context or body.
This one sentence document contains a name, date, and reference to TCPDF, an open source PDF library. It appears to be a basic document with limited information, containing only an individual's name and date, along with a reference to a PDF library.
Naser Shiqwara wrote a document dated November 7th, 2018. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context.
Naser Shiqwara wrote a document dated November 5th, 2018. The document does not provide any other details about its content or purpose. It only lists the author and date without any other context or body.
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
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
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.
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
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.