Credit EDA Case Study : Exploratory Data Analysis on Bank Loan Data
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Find patterns in the data that are predictors of loan defaults using Exploratory Data Analysis on Bank Data.
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Case Study 1 (Job Data)
Below is the structure of the table with the definition of each column that you must work on:
Table-1: job_data
job_id: unique identifier of jobs
actor_id: unique identifier of actor
event: decision/skip/transfer
language: language of the content
time_spent: time spent to review the job in seconds
org: organization of the actor
ds: date in the yyyy/mm/dd format. It is stored in the form of text and we use presto to run. no need for date function
Use the dataset attached in the Dataset section below the project images then answer the questions that follows
Number of jobs reviewed: Amount of jobs reviewed over time.
Your task: Calculate the number of jobs reviewed per hour per day for November 2020?
Throughput: It is the no. of events happening per second.
Your task: Let’s say the above metric is called throughput. Calculate 7 day rolling average of throughput? For throughput, do you prefer daily metric or 7-day rolling and why?
Percentage share of each language: Share of each language for different contents.
Your task: Calculate the percentage share of each language in the last 30 days?
Duplicate rows: Rows that have the same value present in them.
Your task: Let’s say you see some duplicate rows in the data. How will you display duplicates from the table?
Case Study 2 (Investigating metric spike)
The structure of the table with the definition of each column that you must work on is present in the project image
Table-1: users
This table includes one row per user, with descriptive information about that user’s account.
Table-2: events
This table includes one row per event, where an event is an action that a user has taken. These events include login events, messaging events, search events, events logged as users progress through a signup funnel, events around received emails.
Table-3: email_events
This table contains events specific to the sending of emails. It is similar in structure to the events table above.
Use the dataset attached in the Dataset section below the project images then answer the questions that follows
User Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service.
Your task: Calculate the weekly user engagement?
User Growth: Amount of users growing over time for a product.
Your task: Calculate the user growth for product?
Weekly Retention: Users getting retained weekly after signing-up for a product.
Your task: Calculate the weekly retention of users-sign up cohort?
Weekly Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service weekly.
Your task: Calculate the weekly engagement per device?
Email Engagement: Users engaging with the email service.
Your task: Calculate the email engagement metrics?
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Project Description
Give a brief about your project description i.e. what is this project about, how are you going to handle the things and what are the things that you are going to find out through the project.
Approach
Write a short paragraph about your approach towards the project and how you have executed it.
Tech-Stack Used
Do mention the software and the version used while making the project (For Eg. Jupyter Notebook, etc) and mention the purpose of using it.
Insights
Jot down the insights and the knowledge you gained while making the project. You need to write that what do you infer about the things. Make sure its brief and up to the point only. For Eg. If you got a graph then what do you understand by the graph, what changes can you make or what can you derive from the graph.
Result
Mention what have you achieved while making the project and how do you think it has helped you.
Drive Link
Save your file as a “.pdf” file and upload it to your Google Drive. Mention the sharable link (link visibility should be set to public) in your pdf file which you will be uploading. Do not directly upload your project.
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Case Study 1 (Job Data)
Below is the structure of the table with the definition of each column that you must work on:
Table-1: job_data
job_id: unique identifier of jobs
actor_id: unique identifier of actor
event: decision/skip/transfer
language: language of the content
time_spent: time spent to review the job in seconds
org: organization of the actor
ds: date in the yyyy/mm/dd format. It is stored in the form of text and we use presto to run. no need for date function
Use the dataset attached in the Dataset section below the project images then answer the questions that follows
Number of jobs reviewed: Amount of jobs reviewed over time.
Your task: Calculate the number of jobs reviewed per hour per day for November 2020?
Throughput: It is the no. of events happening per second.
Your task: Let’s say the above metric is called throughput. Calculate 7 day rolling average of throughput? For throughput, do you prefer daily metric or 7-day rolling and why?
Percentage share of each language: Share of each language for different contents.
Your task: Calculate the percentage share of each language in the last 30 days?
Duplicate rows: Rows that have the same value present in them.
Your task: Let’s say you see some duplicate rows in the data. How will you display duplicates from the table?
Case Study 2 (Investigating metric spike)
The structure of the table with the definition of each column that you must work on is present in the project image
Table-1: users
This table includes one row per user, with descriptive information about that user’s account.
Table-2: events
This table includes one row per event, where an event is an action that a user has taken. These events include login events, messaging events, search events, events logged as users progress through a signup funnel, events around received emails.
Table-3: email_events
This table contains events specific to the sending of emails. It is similar in structure to the events table above.
Use the dataset attached in the Dataset section below the project images then answer the questions that follows
User Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service.
Your task: Calculate the weekly user engagement?
User Growth: Amount of users growing over time for a product.
Your task: Calculate the user growth for product?
Weekly Retention: Users getting retained weekly after signing-up for a product.
Your task: Calculate the weekly retention of users-sign up cohort?
Weekly Engagement: To measure the activeness of a user. Measuring if the user finds quality in a product/service weekly.
Your task: Calculate the weekly engagement per device?
Email Engagement: Users engaging with the email service.
Your task: Calculate the email engagement metrics?
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Project Description
Give a brief about your project description i.e. what is this project about, how are you going to handle the things and what are the things that you are going to find out through the project.
Approach
Write a short paragraph about your approach towards the project and how you have executed it.
Tech-Stack Used
Do mention the software and the version used while making the project (For Eg. Jupyter Notebook, etc) and mention the purpose of using it.
Insights
Jot down the insights and the knowledge you gained while making the project. You need to write that what do you infer about the things. Make sure its brief and up to the point only. For Eg. If you got a graph then what do you understand by the graph, what changes can you make or what can you derive from the graph.
Result
Mention what have you achieved while making the project and how do you think it has helped you.
Drive Link
Save your file as a “.pdf” file and upload it to your Google Drive. Mention the sharable link (link visibility should be set to public) in your pdf file which you will be uploading. Do not directly upload your project.
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Project Description
Give a brief about your project description i.e. what is this project about, how are you going to handle the things and what are the things that you are going to find out through the project.
Approach
Write a short paragraph about your approach towards the project and how you have executed it.
Tech-Stack Used
Do mention the software and the version used while making the project (For Eg. Jupyter Notebook, etc) and mention the purpose of using it.
Insights
Jot down the insights and the knowledge you gained while making the project. You need to write that what do you infer about the things. Make sure its brief and up to the point only. For Eg. If you got a graph then what do you understand by the graph, what changes can you make or what can you derive from the graph.
Result
Mention what have you achieved while making the project and how do you think it has helped you.
Drive Link
Save your file as a “.pdf” file and upload it to your Google Drive. Mention the sharable link (link visibility should be set to public) in your pdf file which you will be uploading. Do not directly upload your project.
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This case study aims to identify patterns that indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of the loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected. Identification of such applicants using EDA is the aim of this case study.
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An attempt to analyze Bank Data on loans and find patterns in the data that are predictors of loan defaults. This will ensure that future loan decisions are made more logically and reduce possible defaults. The analysis has been done using Python.
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Project Description
Give a brief about your project description i.e. what is this project about, how are you going to handle the things and what are the things that you are going to find out through the project.
Approach
Write a short paragraph about your approach towards the project and how you have executed it.
Tech-Stack Used
Do mention the software and the version used while making the project (For Eg. Jupyter Notebook, etc) and mention the purpose of using it.
Insights
Jot down the insights and the knowledge you gained while making the project. You need to write that what do you infer about the things. Make sure its brief and up to the point only. For Eg. If you got a graph then what do you understand by the graph, what changes can you make or what can you derive from the graph.
Result
Mention what have you achieved while making the project and how do you think it has helped you.
Drive Link
Save your file as a “.pdf” file and upload it to your Google Drive. Mention the sharable link (link visibility should be set to public) in your pdf file which you will be uploading. Do not directly upload your project.
Credit EDA Assignment (Tanvi Pradhan)
This case study aims to identify patterns that indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of the loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected. Identification of such applicants using EDA is the aim of this case study.
In other words, the company wants to understand the driving factors (or driver variables) behind loan default, i.e. the variables which are strong indicators of default. The company can utilize this knowledge for its portfolio and risk assessment.
Lead scoring case study presentation
Case study analysis on finding promising leads that can be converted to customers.
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Predictive Analytics is the stream of the advanced analytics which utilizes diverse techniques like data mining, predictive modelling, statistics, machine learning and artificial intelligence to analyse current data and predict future.
To Know more: https://goo.gl/zAcnCR
LOAN DEFAULT PREDICTION – A CASE STUDY
Content Covered in this video:
Business Problem & Benefits
The Risk - LOAN DEFAULT PREDICTION
Data Analysis Process
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Predictive Analysis Process
Tools & Technology
INSTAGRAM_DATA_ANALYSIS.PPT.pptx
User analysis is the process by which we track how users engage and interact with our digital product (software or mobile application) in an attempt to derive business insights for marketing, product & development teams.
These insights are then used by teams across the business to launch a new marketing campaign, decide on features to build for an app, track the success of the app by measuring user engagement and improve the experience altogether while helping the business grow.
You are working with the product team of Instagram and the product manager has asked you to provide insights on the questions asked by the management team.
1.Find the 5 oldest users of the Instagram from the database provided
2. Find the users who have never posted a single photo on Instagram
3.Identify the winner of the contest and provide their details to the team
4. Identify and suggest the top 5 most commonly used hashtags on the platform
5. What day of the week do most users register on? Provide insights on when to schedule an ad campaign
6. Provide how many times does average user posts on Instagram. Also, provide the total number of photos on Instagram/total number of users
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The capstone project is a Machine Learning application that creates a model for a famous bank in New Jersey.
It analyzes their Clients who took loans in their bank based on various parameters.
Machine Learning Project - Default credit card clients
- The model we built here will use all possible factors to predict data on customers to find who are defaulters and non‐defaulters next month.
- The goal is to find the whether the clients are able to pay their next month credit amount.
- Identify some potential customers for the bank who can settle their credit balance.
- To determine if their customers could make the credit card payments on‐time.
- Default is the failure to pay interest or principal on a loan or credit card payment.
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The Purpose is to optimize the lead scoring mechanism based on their fit,demographics,behaviors,buying tendency etc. By implementing explicit & Implicit lead scoring modelling with lead point system.
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The importance of this type of research in the telecom market is to help companies make more profit.
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Hence, this research aimed to build a system that predicts the churn of customers i telecom company.
These prediction models need to achieve high AUC values. To test and train the model, the sample data is divided into 70% for training and 30% for testing.
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This is a project that I worked on as a Capstone for my Masters in Business Analytics program at the University of Cincinnati. In this project, I have performed an end-to-end data mining exercise including data cleaning, distribution analysis, exploratory data analysis, model building etc. to identify and predict Credit Card defaults using Customer's data on past payments and general profile. In the process for building Machine Learning models, I have fit and compared the performance of multiple models and algorithms like Logistic Regreesion, PCA, Classification tree, AdaBoost Classifier, ANN and LDA.
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Tata Steel operates chromite mines at the Sukinda Valley in Odisha producing chrome ore which is subsequently converted it to Ferro Chrome and sold to customers across the world. A large quantity of water, pumped out from the mining pit and due to rainfall, needs to be handled during the mining operations. Chrome Ore mainly contains tri-valent Chromic oxide and a very small fraction of hexavalent di-chromate. Water coming in contact with chromium ore preferentially leaches out soluble hexavalent chromium from the ore body, as a result, water from the mine contains 0.2 – 4 mg/l of hexavalent chromium against a safe limit of 0.005 mg/l for human consumption; requiring all water to be treated before its release from the mines. Thus, Tata Steel is setting up an additional state of art effluent treatment plant at Sukinda with a capacity of 108 million litres/day; one of the largest in the region; which will be completed by Sept 2015. This paper discusses how the technology for the Effluent Treatment Plant was chosen amongst various alternatives, how the capacity of the plant was decided, the challenges during construction of the said Effluent Treatment Plant that were faced, and how these were successfully tackled. The paper also describes how, because the outlet water is of a better quality than the water from the local water body, the outlet water will be used as the input to the Water Treatment Plant, aiding water consumption and lowering operating cost.
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Mining operations are associated with a range of environmental and social impacts, as well as the non-renewable nature of many mined resources. Thus the sustainability of this industry and the efficient use of its resources for development remain crucial.
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• Enhancing the benefits while mitigating the negative impacts both when mining is taking place and subsequently as well (by scientific mine closure)
• Improving stakeholder participation in the management of the resources including local and indigenous communities
• Addressing the environmental, economic, health and social impacts and benefits of mining throughout their life cycle, including workers' health and safety.
There must be a balance between contrasting claims of sustainability for the future versus current economic benefit from mining. We must :
• Stay within the capacity of ecosystems to absorb change.
• Provide an adequate standard of living for those in the area of influence.
• Create wealth for development of society & provide for the development of advanced technology.
• Develop systems of governance which promote and sustain these goals.
Brand Identity of Alloys by Innovative Packaging - Design Honour
Reinforcing brand identity & product superiority and facilitating ease of use of ferroalloys from Tata Steel through innovative product packaging, whose components include :
a) Brand Name that enhances Product Recall
b) Stylized Logotype to indicate product name integrated with a graphical representation of molten alloy to communicate product usage and generate instant buyer involvement.
c) Bagging solution incorporating security, traceability and “easy to use” features
d) Bright, bold & visible text ensuring availability of all needed information at place of use,
e) Innovative, neat, white HDPE bag with brightly coloured “happy” markings emotionally connecting with customer in the usually drab & grey industrial environment
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Data Science Intermediate Program - Gold Certificate
Data Science Intermediate Program - Gold Certificate
Exploratory Data Analysis on Baltimore Police Arrest Data
Exploratory Data Analysis on Baltimore Police Arrest Data
Magnetic Separation of Metallics from Ferrochrome Slag
Magnetic Separation of Metallics from Ferrochrome Slag
60 not out - sixty successful years of continuous ferro alloy making at joda
60 not out - sixty successful years of continuous ferro alloy making at joda
SEWAGE AND ITS TREATMENT - Experience from setting up Sewage Treatment Plants
SEWAGE AND ITS TREATMENT - Experience from setting up Sewage Treatment Plants
Sewage and its treatment - experience from setting up STPs
Sewage and its treatment - experience from setting up STPs
FAMD OUTSOURCING EXPERIENCE - CCT Meeting - Gokarn1
FAMD OUTSOURCING EXPERIENCE - CCT Meeting - Gokarn1
Pre – fabricated buildings in mining - an environment friendly alternative
Pre – fabricated buildings in mining - an environment friendly alternative
Safety Challenges in the Construction of a Large Water Recovery Plant
Safety Challenges in the Construction of a Large Water Recovery Plant
Patent for Production of Ultra Low Phos Ferro Chrome1
Patent for Production of Ultra Low Phos Ferro Chrome1
Constructing on of India's largest single location Effluent Treatment Plants
Constructing on of India's largest single location Effluent Treatment Plants
Brazil's Mining Tragedy : Lessons for the Mining Industry
Brazil's Mining Tragedy : Lessons for the Mining Industry
Presentation at the 9th WORLD AQUA CONGRESS on 26th-27th Nov 15
Presentation at the 9th WORLD AQUA CONGRESS on 26th-27th Nov 15
Improving Water Quality by Constructing an Effluent Treatment Plant
Improving Water Quality by Constructing an Effluent Treatment Plant
Project Management Challenges in an Effluent Treatment Plant Construction
Project Management Challenges in an Effluent Treatment Plant Construction
Sustainable Development in the Mining Industry - presentation at QCFI Bhilai
Sustainable Development in the Mining Industry - presentation at QCFI Bhilai
Brand Identity of Alloys by Innovative Packaging - Design Honour
Brand Identity of Alloys by Innovative Packaging - Design Honour
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A market analysys on Spotify's parent Podcast company Gimlet.
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
原版定制【微信:41543339】【(Dalhousie毕业证书)达尔豪斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（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！
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
学校原件一模一样【微信：741003700 】《(Deakin毕业证书)迪肯大学毕业证学位证》【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
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
学校原件一模一样【微信：741003700 】《(swinburne毕业证书)斯威本科技大学毕业证》【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
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
原版定制【Q微信:741003700】《(usq毕业证书)南昆士兰大学毕业证研究生文凭证书》【Q微信:741003700】成绩单 、雅思、外壳、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【Q微信741003700】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741003700】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。
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(Bradford毕业证书)布拉德福德大学毕业证如何办理
原版定制【微信:41543339】【(Bradford毕业证书)布拉德福德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（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！
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.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
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 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
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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).
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"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."
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
毕业原版【微信:41543339】【(爱大毕业证书)爱丁堡大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（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！
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