Big Data Analytics demos were presented by Vishwajit Sen on January 29, 2014. Sen demonstrated analytics techniques using large datasets. The demos showed how to extract insights and value from big data.
Big Data University DS0105EN Certificate _ Big Data UniversityMaulesh Patel
This document is a certificate from Big Data University awarded to Maulesh Patel on January 30, 2017 for successfully completing the course "Data Science Hands-On with Open Source Tools" and receiving a passing grade. The certificate confirms Maulesh Patel's completion of the DS0105EN course from Big Data University.
Vishwajit Sen completed The Data Scientist's Toolbox course from Johns Hopkins University on Coursera with distinction in May 2014. The course provided an overview of the conceptual ideas and practical tools used by data analysts and scientists, including version control, markdown, git, GitHub, R, and RStudio. The course was offered by Jeffrey Leek, Roger Peng, and Brian Caffo from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.
Vishwajit Sen completed the Coursera course "Computing for Data Analysis" from Johns Hopkins University with distinction on February 16, 2014. The course taught programming in R, including reading data into R, creating graphics, using packages, writing functions, debugging code, and commenting code. The statement does not confer credit from Johns Hopkins University.
Vishwajit Sen completed the Coursera course "Computing for Data Analysis" from Johns Hopkins University with distinction on February 16, 2014. The course taught programming in R, including reading data into R, creating graphics, using packages, writing functions, debugging code, and commenting code. The statement does not confer credit from Johns Hopkins University.
This one sentence document provides the name "Vishwajit Sen", the course title "Text Analytics Essentials I", and indicates it is version 1 dated January 29, 2014.
Vishwajit Sen successfully completed an online Coursera course titled "Exploratory Data Analysis" offered by Johns Hopkins University. The course covered exploratory data summarization techniques such as plotting in R and principles of constructing graphics. It also covered common multivariate techniques used for high-dimensional data visualization. The certificate does not reflect the entire on-campus curriculum and does not confer any credit or degree from Johns Hopkins University.
Vishwajit Sen successfully completed an online Machine Learning course provided by Stanford University through Coursera on June 04, 2014. To pass the course, students had to watch lectures, answer review questions, and finish programming assignments. The certificate was issued by Associate Professor Andrew Ng of Stanford University's Computer Science Department and does not confer an official Stanford grade or credit.
Big Data Analytics demos were presented by Vishwajit Sen on January 29, 2014. Sen demonstrated analytics techniques using large datasets. The demos showed how to extract insights and value from big data.
Big Data University DS0105EN Certificate _ Big Data UniversityMaulesh Patel
This document is a certificate from Big Data University awarded to Maulesh Patel on January 30, 2017 for successfully completing the course "Data Science Hands-On with Open Source Tools" and receiving a passing grade. The certificate confirms Maulesh Patel's completion of the DS0105EN course from Big Data University.
Vishwajit Sen completed The Data Scientist's Toolbox course from Johns Hopkins University on Coursera with distinction in May 2014. The course provided an overview of the conceptual ideas and practical tools used by data analysts and scientists, including version control, markdown, git, GitHub, R, and RStudio. The course was offered by Jeffrey Leek, Roger Peng, and Brian Caffo from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.
Vishwajit Sen completed the Coursera course "Computing for Data Analysis" from Johns Hopkins University with distinction on February 16, 2014. The course taught programming in R, including reading data into R, creating graphics, using packages, writing functions, debugging code, and commenting code. The statement does not confer credit from Johns Hopkins University.
Vishwajit Sen completed the Coursera course "Computing for Data Analysis" from Johns Hopkins University with distinction on February 16, 2014. The course taught programming in R, including reading data into R, creating graphics, using packages, writing functions, debugging code, and commenting code. The statement does not confer credit from Johns Hopkins University.
This one sentence document provides the name "Vishwajit Sen", the course title "Text Analytics Essentials I", and indicates it is version 1 dated January 29, 2014.
Vishwajit Sen successfully completed an online Coursera course titled "Exploratory Data Analysis" offered by Johns Hopkins University. The course covered exploratory data summarization techniques such as plotting in R and principles of constructing graphics. It also covered common multivariate techniques used for high-dimensional data visualization. The certificate does not reflect the entire on-campus curriculum and does not confer any credit or degree from Johns Hopkins University.
Vishwajit Sen successfully completed an online Machine Learning course provided by Stanford University through Coursera on June 04, 2014. To pass the course, students had to watch lectures, answer review questions, and finish programming assignments. The certificate was issued by Associate Professor Andrew Ng of Stanford University's Computer Science Department and does not confer an official Stanford grade or credit.
Big Data Analytics demos were presented by Vishwajit Sen on January 29, 2014. Sen demonstrated analytics techniques using large datasets. The demos showed how to extract insights and value from big data.
Pig is a platform for analyzing large data sets that operates on Hadoop. It provides a high-level language called Pig Latin for expressing data analysis programs, as well as infrastructure for evaluating these programs. The language is designed to make common data analysis tasks easy, supporting features like schema on read, schema evolution, and the ability to express complex multi-step analysis pipelines.
The document provides identifying information about an individual named Vishwajit Sen, indicates that it relates to an Insurance Essentials course, and provides a date of 03-SEP-15.
Quandl is a platform that provides financial, economic, and alternative datasets that can be accessed directly in R. This document provides instructions on how to install and use the Quandl package in R to pull datasets from Quandl and work with the data. Key steps include installing the Quandl package, signing up for an API key, using the Quandl function to pull datasets with the API key, and manipulating and analyzing the downloaded Quandl data in R.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It involves data collection, preparation, and modeling to discover patterns and other useful information within the data. The goal of data science is to help organizations use data to drive better decisions and improve business and operational performance.
R is a programming language and software environment for statistical analysis, graphics, and statistical computing. It is widely used among data miners and data scientists for developing statistical software and data analysis. This certificate verifies that Vishwajit Sen has completed an introduction course to the R programming language.
Solr is an open source search platform built on Apache Lucene. It provides powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites.
Hadoop Fundamentals I is a course taught by Vishwajit Sen on August 20, 2014. The course provides an introduction to the fundamentals of Hadoop, an open-source software framework for distributed storage and processing of large datasets using clusters of commodity hardware. It covers the core concepts of Hadoop such as HDFS, MapReduce, YARN and common applications.
This document provides an introduction to data analysis using R. Vishwajit Sen wrote the document on January 23, 2014 for Grant Hutchison, who is listed as the instructor. The document aims to introduce the basics of data analysis using the R programming language.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
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
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!
Pig is a platform for analyzing large data sets that operates on Hadoop. It provides a high-level language called Pig Latin for expressing data analysis programs, as well as infrastructure for evaluating these programs. The language is designed to make common data analysis tasks easy, supporting features like schema on read, schema evolution, and the ability to express complex multi-step analysis pipelines.
The document provides identifying information about an individual named Vishwajit Sen, indicates that it relates to an Insurance Essentials course, and provides a date of 03-SEP-15.
Quandl is a platform that provides financial, economic, and alternative datasets that can be accessed directly in R. This document provides instructions on how to install and use the Quandl package in R to pull datasets from Quandl and work with the data. Key steps include installing the Quandl package, signing up for an API key, using the Quandl function to pull datasets with the API key, and manipulating and analyzing the downloaded Quandl data in R.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It involves data collection, preparation, and modeling to discover patterns and other useful information within the data. The goal of data science is to help organizations use data to drive better decisions and improve business and operational performance.
R is a programming language and software environment for statistical analysis, graphics, and statistical computing. It is widely used among data miners and data scientists for developing statistical software and data analysis. This certificate verifies that Vishwajit Sen has completed an introduction course to the R programming language.
Solr is an open source search platform built on Apache Lucene. It provides powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites.
Hadoop Fundamentals I is a course taught by Vishwajit Sen on August 20, 2014. The course provides an introduction to the fundamentals of Hadoop, an open-source software framework for distributed storage and processing of large datasets using clusters of commodity hardware. It covers the core concepts of Hadoop such as HDFS, MapReduce, YARN and common applications.
This document provides an introduction to data analysis using R. Vishwajit Sen wrote the document on January 23, 2014 for Grant Hutchison, who is listed as the instructor. The document aims to introduce the basics of data analysis using the R programming language.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
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
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!
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."