The goal of this workshop is to introduce fundamental capabilities of R as a tool for performing data analysis. Here, we learn about the most comprehensive statistical analysis language R, to get a basic idea how to analyze real-word data, extract patterns from data and find causality.
An introduction to Jupyter notebooks and the Noteable serviceJisc
A presentation at Connect More in Scotland, 4 June 2019.
Speaker: James Slack, e-learning officer for computational notebooks DLAM, University of Edinburgh.
Over the past year, the University of Edinburgh has been developing and piloting the Noteable service to help supporting programming and computational teaching.
The Noteable services provide cloud access to Jupyter notebooks; live editable documents that allow you to run code whilst also containing text, data tables and other rich media items such as images and videos. Jupyter allows students to quickly get hands-on with programming content without having to brave an intimidating IDE (integrated development environment) or grapple with the terminal.
This session will give an overview of what Jupyter notebooks are and why they are becoming popular for introductory programming courses. There'll be a discussion around how Jupyter has been adopted at the University of Edinburgh and how the Noteable service has been developed to support computational education.
Slides for the 2016/2017 edition of the Data Mining and Text Mining Course at the Politecnico di Milano. The course is also part of the joint program with the University of Illinois at Chicago.
Deep neural methods have recently demonstrated significant performance improvements in several IR tasks. In this lecture, we will present a brief overview of deep models for ranking and retrieval.
This is a follow-up lecture to "Neural Learning to Rank" (https://www.slideshare.net/BhaskarMitra3/neural-learning-to-rank-231759858)
https://www.youtube.com/watch?v=eXtWRkfMisM
Durante el 2012 el nivel de fraude en tarjeta de crédito llego a 11.3 billones de dólares, un aumento de casi un 15% comparado con el 2011, esto demuestra el problema que el fraude representa no solo a las instituciones financieras sino también para la sociedad. Tradicionalmente la prevención del fraude consistía en proteger físicamente la infraestructura, sin embargo con cada vez más medios y canales de pago, la información financiera se ha vuelto cada vez más susceptible a ser hurtada. La siguiente opción para prevenir y controlar el fraude consiste en determinar si una transacción está siendo realizada por el cliente de acuerdo con sus patrones históricos de comportamiento. Este es el enfoque de Fraud Analytics.
En esta presentación se mostrara cómo es posible por medio de Fraud Analytics, determinar la probabilidad que una transacción sea o no realizada por el cliente, utilizando la información de compra de los clientes, sus interacciones con la entidad financiera, y por medio de análisis de redes sociales. Adicionalmente, se discutirán y compararan los resultados de las comúnmente utilizadas reglas de decisión y modelos avanzados de Machine Learning.
Artificial Intelligence and Law - A Primer Daniel Katz
Artificial Intelligence in Law (and beyond) including Machine Learning as a Service, Quantitative Legal Prediction / Legal Analytics, Experts + Crowds + Algorithms
The goal of this workshop is to introduce fundamental capabilities of R as a tool for performing data analysis. Here, we learn about the most comprehensive statistical analysis language R, to get a basic idea how to analyze real-word data, extract patterns from data and find causality.
An introduction to Jupyter notebooks and the Noteable serviceJisc
A presentation at Connect More in Scotland, 4 June 2019.
Speaker: James Slack, e-learning officer for computational notebooks DLAM, University of Edinburgh.
Over the past year, the University of Edinburgh has been developing and piloting the Noteable service to help supporting programming and computational teaching.
The Noteable services provide cloud access to Jupyter notebooks; live editable documents that allow you to run code whilst also containing text, data tables and other rich media items such as images and videos. Jupyter allows students to quickly get hands-on with programming content without having to brave an intimidating IDE (integrated development environment) or grapple with the terminal.
This session will give an overview of what Jupyter notebooks are and why they are becoming popular for introductory programming courses. There'll be a discussion around how Jupyter has been adopted at the University of Edinburgh and how the Noteable service has been developed to support computational education.
Slides for the 2016/2017 edition of the Data Mining and Text Mining Course at the Politecnico di Milano. The course is also part of the joint program with the University of Illinois at Chicago.
Deep neural methods have recently demonstrated significant performance improvements in several IR tasks. In this lecture, we will present a brief overview of deep models for ranking and retrieval.
This is a follow-up lecture to "Neural Learning to Rank" (https://www.slideshare.net/BhaskarMitra3/neural-learning-to-rank-231759858)
https://www.youtube.com/watch?v=eXtWRkfMisM
Durante el 2012 el nivel de fraude en tarjeta de crédito llego a 11.3 billones de dólares, un aumento de casi un 15% comparado con el 2011, esto demuestra el problema que el fraude representa no solo a las instituciones financieras sino también para la sociedad. Tradicionalmente la prevención del fraude consistía en proteger físicamente la infraestructura, sin embargo con cada vez más medios y canales de pago, la información financiera se ha vuelto cada vez más susceptible a ser hurtada. La siguiente opción para prevenir y controlar el fraude consiste en determinar si una transacción está siendo realizada por el cliente de acuerdo con sus patrones históricos de comportamiento. Este es el enfoque de Fraud Analytics.
En esta presentación se mostrara cómo es posible por medio de Fraud Analytics, determinar la probabilidad que una transacción sea o no realizada por el cliente, utilizando la información de compra de los clientes, sus interacciones con la entidad financiera, y por medio de análisis de redes sociales. Adicionalmente, se discutirán y compararan los resultados de las comúnmente utilizadas reglas de decisión y modelos avanzados de Machine Learning.
Artificial Intelligence and Law - A Primer Daniel Katz
Artificial Intelligence in Law (and beyond) including Machine Learning as a Service, Quantitative Legal Prediction / Legal Analytics, Experts + Crowds + Algorithms
AWS re:Invent 2016: Blockchain on AWS: Disrupting the Norm (GPST301)Amazon Web Services
Recent interest in leveraging distributed ledgers across multiple industries has elevated blockchain from mere theory and into the spotlight of real world use. Learn why some partners have a vested interest in it and how blockchain can be used with AWS. In this session, we explore the AWS services needed for a successful deployment and dive deep into a partner's blockchain journey on AWS.
How Hadoop Enables Analytics for Law Enforcement and National Security DataWorks Summit
The US National Security enterprise must fight and win the nation’s wars, protect and defend Americans citizens and US friends and allies, at home and abroad, and preserve the US democratic form of government and fee markets. Government leaders, although facing different budgetary and institutional goals and constraints than actors in the commercial world, must come to terms with the volume, velocity, and variety of data in the world and across their enterprises. Hadoop has recently arrived in federal office buildings in a big way, at least as a term to be discussed if not yet a data store deployed. As of June 2013, Hadoop appears destined for widespread adoption in the federal government, although the path forward remains uncertain. This session will provide a strategic view of the US federal government “big data” landscape as a marketplace, and suggest areas for highest return on investment for the national security community. Focusing on analytics—the use cases and the end customer at the “pointy end of the spear” seems likely to illuminate the most efficient way forward. Gary M. Shiffman is an economist, professor at Georgetown University in Washington, DC, and CEO of Giant Oak, a data analytics company focusing on detecting fraud, crime, insurgency, terrorism, and other forms of organized theft and violence.
LexPredict - Empowering the Future of Legal Decision MakingDaniel Katz
LexPredict is an enterprise legal technology and consulting firm, specializing in the application of best-in-class processes and technologies from the technology, financial services, and logistics industries to the practice of law, compliance, insurance, and risk management.
We focus on the goals of prediction, optimization, and risk management to enable holistic organizational changes that empower legal decision-making.
These changes span people and processes, software and data, and execution and education.
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...Daniel Katz
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Driven Future of Law Practice - Professor Daniel Martin Katz + Professor Michael J Bommarito
Intro to StreamSets Platform. StreamSets data integration platform is a single interface for creating, reusing and sharing data pipelines to unlock your data without ceding control.
A Hands-On Set of Programming Problems Using Python and OpenCVNader Karimi
A set of programming assignments about using python and OpenCV for implementing Digital Image Processing. Starting with easy problems, they become more challenging gradually. This fie is made of the concatenation of 4 series of practical assignments in a relevant course in the CE department of the Sharif University of Technology.
Basic introduction to "R", a free and open source statistical programming language designed to help users analyze data sets by creating scripts to increase automation. The program can also be used as a free substitute for Microsoft Excel.
This post is about love. About the love of the static code analyzer PVS-Studio, for the great open source Linux operating system. This love is young, touching and fragile. It needs help and care. You will help greatly if you volunteer to help testing the beta-version of PVS-Studio for Linux.
This presentation was prepared for principals and vice-principals in the Ottawa Catholic School Board. Technology tips with a focus on web 2.0 tools and free Google tools were the main focus.
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...Daniel Katz
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and the Modern Information Economy - By Michael Bommarito + Daniel Martin Katz from LexPredict
Fin (Legal) Tech – Law’s Future from Finance’s Past (Some Thoughts About the ...Daniel Katz
Fin (Legal) Tech – Law’s Future from Finance’s Past (Some Thoughts About the Financialization of the Law) – Professors Daniel Martin Katz + Michael J Bommarito
Exploring the Physical Properties of Regulatory Ecosystems - Professors Danie...Daniel Katz
Exploring the Physical Properties of Regulatory Ecosystems: Regulatory Dynamics Revealed by Securities Filings — Professors Daniel Martin Katz + Michael J Bommarito
Legal Analytics Course - Class 9 - Clustering Algorithms (K-Means & Hierarchical Clustering) - Professor Daniel Martin Katz + Professor Michael J Bommarito
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...Daniel Katz
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Professors Daniel Martin Katz & Michael J. Bommarito - Illinois Tech Law / Univ of Michigan CSCS (Updated Version)
WINDING UP of COMPANY, Modes of DissolutionKHURRAMWALI
Winding up, also known as liquidation, refers to the legal and financial process of dissolving a company. It involves ceasing operations, selling assets, settling debts, and ultimately removing the company from the official business registry.
Here's a breakdown of the key aspects of winding up:
Reasons for Winding Up:
Insolvency: This is the most common reason, where the company cannot pay its debts. Creditors may initiate a compulsory winding up to recover their dues.
Voluntary Closure: The owners may decide to close the company due to reasons like reaching business goals, facing losses, or merging with another company.
Deadlock: If shareholders or directors cannot agree on how to run the company, a court may order a winding up.
Types of Winding Up:
Voluntary Winding Up: This is initiated by the company's shareholders through a resolution passed by a majority vote. There are two main types:
Members' Voluntary Winding Up: The company is solvent (has enough assets to pay off its debts) and shareholders will receive any remaining assets after debts are settled.
Creditors' Voluntary Winding Up: The company is insolvent and creditors will be prioritized in receiving payment from the sale of assets.
Compulsory Winding Up: This is initiated by a court order, typically at the request of creditors, government agencies, or even by the company itself if it's insolvent.
Process of Winding Up:
Appointment of Liquidator: A qualified professional is appointed to oversee the winding-up process. They are responsible for selling assets, paying off debts, and distributing any remaining funds.
Cease Trading: The company stops its regular business operations.
Notification of Creditors: Creditors are informed about the winding up and invited to submit their claims.
Sale of Assets: The company's assets are sold to generate cash to pay off creditors.
Payment of Debts: Creditors are paid according to a set order of priority, with secured creditors receiving payment before unsecured creditors.
Distribution to Shareholders: If there are any remaining funds after all debts are settled, they are distributed to shareholders according to their ownership stake.
Dissolution: Once all claims are settled and distributions made, the company is officially dissolved and removed from the business register.
Impact of Winding Up:
Employees: Employees will likely lose their jobs during the winding-up process.
Creditors: Creditors may not recover their debts in full, especially if the company is insolvent.
Shareholders: Shareholders may not receive any payout if the company's debts exceed its assets.
Winding up is a complex legal and financial process that can have significant consequences for all parties involved. It's important to seek professional legal and financial advice when considering winding up a company.
In 2020, the Ministry of Home Affairs established a committee led by Prof. (Dr.) Ranbir Singh, former Vice Chancellor of National Law University (NLU), Delhi. This committee was tasked with reviewing the three codes of criminal law. The primary objective of the committee was to propose comprehensive reforms to the country’s criminal laws in a manner that is both principled and effective.
The committee’s focus was on ensuring the safety and security of individuals, communities, and the nation as a whole. Throughout its deliberations, the committee aimed to uphold constitutional values such as justice, dignity, and the intrinsic value of each individual. Their goal was to recommend amendments to the criminal laws that align with these values and priorities.
Subsequently, in February, the committee successfully submitted its recommendations regarding amendments to the criminal law. These recommendations are intended to serve as a foundation for enhancing the current legal framework, promoting safety and security, and upholding the constitutional principles of justice, dignity, and the inherent worth of every individual.
A "File Trademark" is a legal term referring to the registration of a unique symbol, logo, or name used to identify and distinguish products or services. This process provides legal protection, granting exclusive rights to the trademark owner, and helps prevent unauthorized use by competitors.
Visit Now: https://www.tumblr.com/trademark-quick/751620857551634432/ensure-legal-protection-file-your-trademark-with?source=share
NATURE, ORIGIN AND DEVELOPMENT OF INTERNATIONAL LAW.pptxanvithaav
These slides helps the student of international law to understand what is the nature of international law? and how international law was originated and developed?.
The slides was well structured along with the highlighted points for better understanding .
Car Accident Injury Do I Have a Case....Knowyourright
Every year, thousands of Minnesotans are injured in car accidents. These injuries can be severe – even life-changing. Under Minnesota law, you can pursue compensation through a personal injury lawsuit.
ALL EYES ON RAFAH BUT WHY Explain more.pdf46adnanshahzad
All eyes on Rafah: But why?. The Rafah border crossing, a crucial point between Egypt and the Gaza Strip, often finds itself at the center of global attention. As we explore the significance of Rafah, we’ll uncover why all eyes are on Rafah and the complexities surrounding this pivotal region.
INTRODUCTION
What makes Rafah so significant that it captures global attention? The phrase ‘All eyes are on Rafah’ resonates not just with those in the region but with people worldwide who recognize its strategic, humanitarian, and political importance. In this guide, we will delve into the factors that make Rafah a focal point for international interest, examining its historical context, humanitarian challenges, and political dimensions.
How to Obtain Permanent Residency in the NetherlandsBridgeWest.eu
You can rely on our assistance if you are ready to apply for permanent residency. Find out more at: https://immigration-netherlands.com/obtain-a-permanent-residence-permit-in-the-netherlands/.
Quantitative Methods for Lawyers - Bonus Module - Introduction to R, Installing R and RStudio - Professor Daniel Martin Katz
1. Quantitative
Methods
for
Lawyers
Intro to the R Environment
Installing R, R Studio
Class Bonus Module
@ computational
computationallegalstudies.com
professor daniel martin katz danielmartinkatz.com
lexpredict.com slideshare.net/DanielKatz
2. In this introduction, I will
curate for you the wonderful
set of online resources that
you can you to learn