AI vs. AI: Can Predictive Models Stop the Tide of Hacker AI?
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This document discusses how artificial intelligence could be used by hackers to improve cyberattacks like phishing. The author details an experiment where threat actors were able to improve their phishing attacks using AI, making them 3000% more successful. The document argues that AI enhances attackers' efficiency and that companies need multi-layered AI and machine learning detection systems as well as deep adversarial learning to monitor threats and fight against adversary AI. It maintains that companies must take action now as AI amplifies the power of attacks like phishing, malware, and weakening authentication controls.
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Hear how IBM XGS proactively blocked ransomware at a large healthcare insurance organization
Anatomy of a cyber attack
Looking to understand how hackers and other attackers use cyber technology to attack your network and your executives? This slide set provides an overview and details the anatomy of a cyber attack, and the strategies you can use to manage and mitigate risk.
Types-of-Cyber-Attacks-E-book.pdf
Cybercriminals employ complex techniques to infiltrate networks and steal data or hold files for ransom. The document discusses four common cyberattack strategies: (1) bombarding networks with malware around the clock, (2) infecting networks with different forms of malware like viruses and ransomware, (3) targeting the weakest networks, and (4) morphing frequently and attacking globally. It provides recommendations for countering the attacks, including using a firewall with up-to-date cloud-based protections, protecting against all malware types, choosing a high-performance firewall, and investing in a solution with global reach.
Cyber Security Service in USA.pptx
Seceon is a global provider of the most advanced Machine Learning & Artificial Intelligence-driven cyber threat detection and remediation platforms for Enterprises and Managed Security Service Providers (MSSP).
The future of cyber security
The document discusses how security operations centers are adopting machine learning and artificial intelligence technologies to automate cybersecurity tasks like detecting threats, analyzing vast amounts of data, and responding quickly to incidents. It provides examples of how Oracle's cloud-based cybersecurity applications incorporate machine learning algorithms to continuously learn normal behavior, detect anomalies, and automate responses. The document advocates for adopting an intelligent, adaptive security framework that relies on AI and machine learning rather than static rules to manage hybrid cloud environments.
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"Cyber threats evolve with AI and Machine Learning, sparking a digital arms race. Attackers exploit these technologies to target vulnerabilities, countered by defenders who use AI and ML to detect and thwart these sophisticated threats."
my new HACKING
This document provides an outline for a presentation on hacking. It begins with definitions of hacking and different types of hackers. The history and evolution of hacking is discussed. Various types of hacking techniques like denial of service attacks, password cracking, and social engineering are described. Common hacking tools such as Nmap, Cain and Abel, and keyloggers are listed. The document outlines how hacking attacks work and their potential effects. It discusses certifications in ethical hacking and concludes that while hacking can be a crime, proper security measures and computer ethics can help prevent and detect hacking activities.
01_Metasploit - The Elixir of Network Security
The document discusses penetration testing using Metasploit. It begins by defining penetration testing and why it is important for security. It then provides an overview of Metasploit, explaining what it is and some key terminology. The document demonstrates a sample penetration test against a virtual network, using Metasploit to exploit a Windows vulnerability. It evaluates the impact and recommends countermeasures like patching, code reviews, and periodic testing. The goal is to show how Metasploit can be used to test network security by simulating real-world attacks.
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More from Alejandro Correa Bahnsen, PhD
Fraud Detection by Stacking Cost-Sensitive Decision Trees
Worldwide, billions of euros are lost every year due to credit card fraud. Increasingly, fraud has diversified to different digital channels, including mobile and online payments, creating new challenges as innovative new fraud patterns emerge. Hence, it remains challenging to find effective methods of mitigating fraud. Existing solutions include simple if-then rules and classical machine learning algorithms. Credit card fraud is by definition an example-dependent and cost-sensitive classification problem, in which the costs due to is classification vary between examples and not only within classes, i.e., misclassifying a fraudulent transaction may have a financial impact ranging from a few to thousands of euros. In this paper, we propose an extension to the cost-sensitive decision trees algorithm, by creating an ensemble of such trees, and combining them using a stacking approach with a cost-sensitive logistic regression. We compare our method with standard machine learning algorithms and state-of-the-art cost-sensitive classification methods using a real credit card fraud dataset provided by a large European card processing company. The results show that our method achieves savings of up to 73.3%, more than 2 percentage points more than a single cost-sensitive decision tree.
Maximizing a churn campaigns profitability with cost sensitive machine learning
Maximizing a churn campaigns profitability with cost sensitive machine learningAlejandro Correa Bahnsen, PhD
This document summarizes a presentation on maximizing profit from customer churn prediction models using cost-sensitive machine learning techniques. It discusses how traditional evaluation measures like accuracy do not account for different costs of prediction errors. It then covers cost-sensitive approaches like cost-proportionate sampling, Bayes minimum risk, and cost-sensitive decision trees. The results show these cost-sensitive methods improve savings over traditional models and sampling approaches when the business costs are incorporated into the predictive modeling.Demystifying machine learning using lime
Slides of my Pycon 2017 short talk "Demystifying machine learning using lime"
Jupyter Notebook with code in https://github.com/albahnsen/Talk_Demystifying_Machine_Learning
1609 Fraud Data Science
Online fraud costs the global economy more than $400 billion, with more than 800 million personal records stolen in 2013 alone. Increasingly, fraud has diversified to different digital channels, including mobile and online payments, creating new challenges as innovative fraud patterns emerge. Hence it is still a challenge to find effective methods to mitigate fraud. Existing solutions include simple if-then rules and classical machine learning algorithms.
From an academic perspective, credit card fraud detection is a standard classification problem, in which historical transaction data is used to predict future frauds. However, practical aspects make the problem more complex. Indeed, existent comparison measures lack a realistic representation of monetary gains and losses, which is necessary for effective fraud detection. Moreover, there is an enormous amount of transactions from which only a tiny part are frauds, which implies a huge class imbalance. Additionally, a real fraud detection system is required to give a response in milliseconds. This criterion needs to be taken into account in the modeling process in order for the system to be successfully implemented. To solve these problems, in this presentation two recently proposed algorithms are compared: Bayes minimum risk and example-dependent cost-sensitive decision tree. These methods are compared with state of the art algorithms and shows significant improvements measured by financial savings.
Modern Data Science
Presentation on Modern Data Science
Data scientists are in high demand. There is simply not enough talent to fill the jobs. Why? Because the sexiest job of 21th century requires a mixture of broad, multidisciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business. Finding a data scientist is hard. Finding people who understand who a data scientist is, is equally hard.
Check the video in spanish here :https://www.youtube.com/watch?v=R3jeBHLLiiM
Fraud Detection with Cost-Sensitive Predictive Analytics
Online fraud costs the global economy more than $400 billion, with more than 800 million personal records stolen in 2013 alone. Increasingly, fraud has diversified to different digital channels, including mobile and online payments, creating new challenges as innovative fraud patterns emerge. Hence it is still a challenge to find effective methods to mitigate fraud. Existing solutions include simple if-then rules and classical machine learning algorithms.
From an academic perspective, credit card fraud detection is a standard classification problem, in which historical transaction data is used to predict future frauds. However, practical aspects make the problem more complex. Indeed, existent comparison measures lack a realistic representation of monetary gains and losses, which is necessary for effective fraud detection. Moreover, there is an enormous amount of transactions from which only a tiny part are frauds, which implies a huge class imbalance. Additionally, a real fraud detection system is required to give a response in milliseconds. This criterion needs to be taken into account in the modeling process in order for the system to be successfully implemented. To solve these problems, in this presentation two recently proposed algorithms are compared: Bayes minimum risk and example-dependent cost-sensitive decision tree. These methods are compared with state of the art algorithms and shows significant improvements measured by financial savings.
PhD Defense - Example-Dependent Cost-Sensitive Classification
Slides from my PhD defense
Example-Dependent Cost-Sensitive Classification
Applications in Financial Risk Modeling and Marketing Analytics
https://github.com/albahnsen/phd-thesis
Ensembles of example dependent cost-sensitive decision trees slides
Slides of the paper http://arxiv.org/abs/1505.04637
source code is available at https://github.com/albahnsen/CostSensitiveClassification/blob/master/costcla/models/cost_tree.py#L15
Abstract:
Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes. However, standard classification methods do not take these costs into account, and assume a constant cost of misclassification errors. In previous works, some methods that take into account the financial costs into the training of different algorithms have been proposed, with the example-dependent cost-sensitive decision tree algorithm being the one that gives the highest savings. In this paper we propose a new framework of ensembles of example-dependent cost-sensitive decision-trees. The framework consists in creating different example-dependent cost-sensitive decision trees on random subsamples of the training set, and then combining them using three different combination approaches. Moreover, we propose two new cost-sensitive combination approaches; cost-sensitive weighted voting and cost-sensitive stacking, the latter being based on the cost-sensitive logistic regression method. Finally, using five different databases, from four real-world applications: credit card fraud detection, churn modeling, credit scoring and direct marketing, we evaluate the proposed method against state-of-the-art example-dependent cost-sensitive techniques, namely, cost-proportionate sampling, Bayes minimum risk and cost-sensitive decision trees. The results show that the proposed algorithms have better results for all databases, in the sense of higher savings.
Fraud analytics detección y prevención de fraudes en la era del big data sl...
Fraud analytics detección y prevención de fraudes en la era del big data sl...Alejandro Correa Bahnsen, PhD
Fraud Analytics: Detección y prevención de fraudes en la era del BigData
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 inteligencia artificial.
-------------------------------------
Alejandro Correa Bahnsen
-------------------------------------
Ingeniero Industrial con Maestría en Ingeniería Industrial de la Universidad de los Andes. Candidato a Doctorado en inteligencia artificial de la Universidad de Luxemburgo. Actualmente se encuentra trabajando en SIX, uno de los operadores de tarjeta de crédito más grande de Europa, desarrollando un sistema inteligente para la prevención de fraude.
Experiencia como profesor de analytics y econometría en las universidades de Luxemburgo y de los Andes, respectivamente. Conferencista de analytics en SAS Analytics (Orlando, Las Vegas, Londres, Frankfurt), SAS Global Forum (Orlando, San Francisco), IEEE International Conference on Data Mining (Vancouver, Bruselas, Dallas), IEEE International Conference on Machine Learning and Applications (Miami, Detroit) y European Conference on Data Analysis (Luxemburgo). Fundador de la comunidad Data Science Luxembourg y organizador del workshop IEEE Data Mining Case Studies (Dallas).Analytics - compitiendo en la era de la informacion
Analytics: Compitiendo en la era de la información
En años recientes el mundo ha entrado en la era de la información, la evolución de la tecnología y el desarrollo de las redes sociales ha permitido a las compañías obtener más información sobre el comportamiento de sus clientes. Adicionalmente, los sistemas se han vuelto mas eficientes y económicos, dando la oportunidad a las empresas de almacenar gran cantidad de datos. Sin embargo, toda esta información solo almacenada no genera valor agregado para las empresas; entonces la pregunta es como obtener beneficios y tomar decisiones mas informadas usando los datos recolectados? La respuesta es analytics.
Analytics es el uso de métodos y herramientas para entender la información y tomar decisiones más precisas. Permite a las compañías hacer predicciones de comportamientos, identificar potenciales clientes, crear segmentaciones inteligentes, dirigir de una manera eficiente campañas publicitarias, identificar riesgos y anticipar cambios en el mercado. Así, por medio de analytics las compañías logran diferenciarse más de sus competidores y entender mejor las necesidades de sus clientes.
Alejandro Correa Bahnsen
Ingeniero Industrial con Maestría en Ingeniería Industrial de la Universidad de los Andes. Candidato a Doctorado en inteligencia artificial de la Universidad de Luxemburgo. Actualmente se encuentra trabajando en Cetrel, el operador de tarjeta de crédito mas grande de Europa, desarrollando un sistema inteligente para la prevención de fraude.
Experiencia como profesor de analytics y econometría en las universidades de Luxemburgo y de los Andes, respectivamente. Conferencista de analytics en SAS Analytics (Orlando, Las Vegas, Londres), SAS Global Forum (Orlando, San Francisco), IEEE International Conference on Data Mining (Vancouver, Bruselas), IEEE International Conference on Machine Learning and Applications (Miami) y European Conference on Data Analysis (Luxemburgo). Fundador de la comunidad Data Science Luxembourg y organizador del workshop IEEE Data Mining Case Studies (Dallas).
Maximizing a churn campaign’s profitability with cost sensitive predictive an...
Maximizing a churn campaign’s profitability with cost sensitive predictive an...Alejandro Correa Bahnsen, PhD
Presentation at SAS Analytics conference 2014
Predictive analytics has been applied to solve a wide range of real-world problems. Nevertheless, current state-of-the-art predictive analytics models are not well aligned with business needs since they don't include the real financial costs and benefits during the training and evaluation phases. Churn modeling does not yield the best results when it's measured by investment per subscriber on a loyalty campaign and the financial impact of failing to detect a churner versus wrongly predicting a non-churner. This presentation will show how using a cost-sensitive modeling approach leads to better results in terms of profitability and predictive power – and is applicable to many other business challenges.
Example-Dependent Cost-Sensitive Credit Card Fraud Detection
Credit card fraud is a growing problem that affects card holders around the world. Fraud detection has been an interesting topic in machine learning. Nevertheless, current state of the art credit card fraud detection algorithms miss to include the real costs of credit card fraud as a measure to evaluate algorithms. In this paper a new comparison measure that realistically represents the monetary gains and losses due to fraud detection is proposed. Moreover, using the proposed cost measure a cost sensitive method based on Bayes minimum risk is presented. This method is compared with state of the art algorithms and shows improvements up to 23% measured by cost. The results of this paper are based on real life transactional data provided by a large European card processing company.
2012 predictive clusters
Presentation at the SAS Global Forum 2012, Orlando, FL.
Presenters:
Alejandro Correa Bahnsen
Andres Felipe Gonzalez Montoya
2013 credit card fraud detection why theory dosent adjust to practice
Presentation at the SAS Analytics Conference 2013, London, UK.
Presenter:
Alejandro Correa Bahnsen
2011 advanced analytics through the credit cycle
Presentation at the SAS Analytics Conference 2011, Orlando, FL.
Presenters:
Alejandro Correa Bahnsen
Andres Felipe Gonzalez Montoya
More from Alejandro Correa Bahnsen, PhD (15)
Fraud Detection by Stacking Cost-Sensitive Decision Trees
Fraud Detection by Stacking Cost-Sensitive Decision Trees
Maximizing a churn campaigns profitability with cost sensitive machine learning
Maximizing a churn campaigns profitability with cost sensitive machine learning
Fraud Detection with Cost-Sensitive Predictive Analytics
Fraud Detection with Cost-Sensitive Predictive Analytics
PhD Defense - Example-Dependent Cost-Sensitive Classification
PhD Defense - Example-Dependent Cost-Sensitive Classification
Ensembles of example dependent cost-sensitive decision trees slides
Ensembles of example dependent cost-sensitive decision trees slides
Fraud analytics detección y prevención de fraudes en la era del big data sl...
Fraud analytics detección y prevención de fraudes en la era del big data sl...
Analytics - compitiendo en la era de la informacion
Analytics - compitiendo en la era de la informacion
Maximizing a churn campaign’s profitability with cost sensitive predictive an...
Maximizing a churn campaign’s profitability with cost sensitive predictive an...
Example-Dependent Cost-Sensitive Credit Card Fraud Detection
Example-Dependent Cost-Sensitive Credit Card Fraud Detection
2013 credit card fraud detection why theory dosent adjust to practice
2013 credit card fraud detection why theory dosent adjust to practice
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In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
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一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
原版办【微信号:BYZS866】【兰加拉学院毕业证(Langara毕业证书)】【微信号:BYZS866】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
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三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
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6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
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2、国（境）学习人员提供就业推荐信服务
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【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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Media monitoring in veterinary medicien
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
Global Situational Awareness of A.I. and where its headed
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.
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版制作【微信:41543339】【多伦多大学毕业证(UofT毕业证书)】【微信:41543339】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
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!
Analysis insight about a Flyball dog competition team's performance
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
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(harvard毕业证书）哈佛大学毕业证如何办理
一模一样【微信：A575476】【(harvard毕业证书）哈佛大学毕业证成绩单Offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Build applications with generative AI on Google Cloud
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.
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(英国UCA毕业证书)创意艺术大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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AI vs. AI: Can Predictive Models Stop the Tide of Hacker AI?
- 1. AIvs.AI Can Predictive Models Stop theTide of Hacker AI? Alejandro Correa Bahnsen, Chief Data Scientist
- 2. Portfolio of cybersecurity software and services Intelligent and adaptive Cloud-native and hybrid-ready Global colocation leader 57 data centers in 29 global markets 2.6M sq. feet of data center space 195 megawatts of power 3,500 customers 1,100 employees Headquartered in Miami with offices globally Experienced leadership in infrastructure and security CyxteraTechnologies 2
- 3. 3
- 4. 4 PossibleAdversaryUsesofAI More & Better Phishing Attacks Increasingly Powerful Self-Spreading Malware Weaken Authentication Controls Cheat Rule-based Transaction Monitoring
- 5. 5
- 6. 6 Phishing
- 8. TheExperimentProcess Identify individual threat actors Ran them through our own AI detection system Improved their attacks using AI
- 10. TraditionalAttacksvs.AI-DrivenAttacks 10 25% 20% 15% 10% 5% 0% 3000% more successful AITraditional Phishing Campaign Success Rate
- 11. TakeAction,TheTimeIsNow 11 AIenhancesattackersefficiencies ML and AI driven detection systems Deep Adversarial Learning Relentless monitoring Multi-layered approach to anti-fraud
- 12. 12 ThePowerofAdversaryAI More & Better Phishing Attacks Increasingly Powerful Self-Spreading Malware Weaken Authentication Controls Cheat Rule-based Transaction Monitoring
- 13. 13 1-Minute ResearchVideo Brief 2 Page Research Summary Slides (Extended Version) Academic paper AIvs.AI:CanPredictiveModelsStoptheTideofHackerAI? EasySolutionsBooth#3941 www.easysol.net/ai-project