Kaggle The Home of Data Science

•Transferir como PPTX, PDF•

2 gostaram•1,541 visualizações

odsc

Keynote

Tecnologia

KAGGLE THE HOME
OF DATA SCIENCE
Anthony
Goldbloom
O P E N
D A T A
S C I E N C E
C O N F E R E N C E_
BOSTON 2015
@opendatasci

GE Flight Quest 2
Optimize flight routes based
on weather & traffic
$250,000
122 teams
Hewlett Foundation: Automated Essay Scoring
Develop an automated scoring algorithm
for student-written essays
$100,000
155 teams
Allstate Purchase Prediction Challenge
Develop an automated scoring algorithm
for student-written essays
$50,000
1,570 teams
Merck Molecular Activity Challenge
Help develop safe and effective medicines
by predicting molecular activity
$40,000
236 teams
Higgs Boson Machine Learning Challenge
Use the ATLAS experiment to
identify the Higgs boson
$13,000
1,302 teams

Age Income Default
58 $95,824 True
73 $20,708 False
59 $82,152 False
66 $25,334 True
Age Income Default
73 $53,445
61 $36,679
47 $90,422
44 $79,040
Training Data Test Data
The Kaggle Approach

Mapping Dark Matter
Competition Progress
Accuracy
(lower is better)
Week 1 Week 3 Week 5 Week 7 End
.0150
.0170
Martin O’Leary
PhD student in Glaciology, Cambridge U

“In less than a week, Martin O’Leary,
a PhD student in glaciology,
outperformed the state-of-the-art
algorithms”
“The world’s brightest physicists have
been working for decades on solving
one of the great unifying problems of
our universe”

EXAMPLE ESSAY QUESTION —
We all understand the benefits of laughter.
For example, someone once said,
“Laughter is the shortest distance between
two people.”
Many other people believe that laughter is
an important part of any relationship. Tell a
true story in which laughter was one
element or part.
We can work
with difficult
data —

The winning model
correctly predicted
seizures 82% of the
time. Until that point,
researchers had
struggled to develop an
algorithm that did better
than chance
Mayo Clinic:
Seizure detection
from EEG
readings

We’ve worked with
many of the
world’s largest
companies
Healthcare &
Pharma
Consumer
Internet
Finance IndustrialConsumer
Marketing
Oil
& Gas
$50b+
Beverage
Co.
Global
Bank
Top
Credit
Card
Issuer
Top 5 E&P
Top 20 E&P

That submit over
100K machine
learning models
per month
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
May-10 May-11 May-12 May-13 May-14 May-15
Monthly Submissions to Kaggle Competitions

Good software
engineering
practices and
robust statistical
methods are key

80% of data science is grunt work and only 20% involves deep thinking

A good pipeline makes data scientists more productive and their work higher quality and more
enjoyable

Our workflow environment will be the central repository for all data science work in a company

Anthony Goldbloom
a@kaggle.com
650 283 9781

Mais conteúdo relacionado

Semelhante a Kaggle The Home of Data Science

Golden age for technology and innovation vfinal acg

Jeffrey Bussgang

Most data scientists are focused on predictive (aka supervised) models, yet real growth depends on the estimation of effect of an action and optimizations of action policies. To this end, I will present causal inference and related packages. There are three layers of analytics: descriptive (BI), predictive (supervised modeling), and prescriptive. The latter, less-known one, focus on answering the most important business questions. For example, "what was the effect of giving a discount?" or "who to call first?" - In this talk, we will first discuss what frameworks are used to answer these questions, namely causal inference, and reinforcement learning. Then we will deep dive into CI and why is it important. Last but not least we will present some code.

Business Optimization via Causal Inference

Hanan Shteingart

General AI for Medical Educators April 2024

Janet Corral

ML practitioners and advocates are increasingly finding themselves becoming gatekeepers of the modern world. The models you create have power to get people arrested or vindicated, get loans approved or rejected, determine what interest rate should be charged for such loans, who should be shown to you in your long list of pursuits on your Tinder, what news do you read, who gets called for a job phone screen or even a college admission... the list goes on. My goal in this talk is to summarize the kinds of disparate outcomes that are caused by cargo cult machine learning, and recent academic efforts to address some of them.

Fairness in Machine Learning

Delip Rao

Data science for developers

Patricio Del Boca

Semelhante a Kaggle The Home of Data Science (20)

Golden age for technology and innovation vfinal acg

Business Optimization via Causal Inference

General AI for Medical Educators April 2024

Fairness in Machine Learning

Data science for developers

Mais de odsc

Understanding the Chief Data Officer

odsc

I’ll present the new knowledge discovery tools we are building at Diffeo. Unlike traditional search engines that use keywords, Diffeo provides an in-browser knowledge base that accelerates information gathering about people, companies, chemical compounds, cyber events, or other real world entities. I’ll describe how Diffeo uses active learning to encourage long and deep user interactions in order to recommend new content for in-progress articles. As you write, the search results get better and more interesting, because the system can see more precisely which entity you mean and which you don’t (disambiguation) and also what you don’t know yet about the entity (discovery). Finally in this presentation I’ll describe our experience organizing the Text REtrieval Conference (TREC) on Knowledge Base Acceleration (KBA) and Dynamic Domain (DD) which are pushing the state of the art in knowledge discovery on large streams. I’ll show you how to access the largest corpus of streaming text data ever released for public evaluations.

Machine-In-The-Loop for Knowledge Discovery

odsc

API Driven Development

odsc

CommCare, developed by Dimagi Inc., is an open-source mobile technology platform that supports hundreds of humanitarian frontline programs worldwide. The objective of this analysis is to demonstrate how CommCare metadata contains a wealth of information that can inform humanitarian programs in their use of mobile technology. This understanding can help programs determine the most effective way to implement CommCare or other mobile technology in resource-poor settings. A typical CommCare user is a frontline worker, such as a community health worker who provides outreach to pregnant women and children. An important feature of CommCare is that it supports case management, allowing users to register, update, and close cases in their CommCare application. A case is usually a user’s client, e.g., a pregnant woman who is supported by the CommCare user. While using CommCare, the user fills out electronic forms which eventually get submitted to the CommCare cloud server. The cumulative number of forms submitted by CommCare users as of December 2014 was just over 10 million. Metadata for each form submitted through CommCare are stored in Dimagi’s data platform; included in a form’s metadata are date and time stamps for when each form was started and ended by the user and when the form was eventually received by the cloud server.

Mobile technology Usage by Humanitarian Programs: A Metadata Analysis

odsc

Productionizing Deep Learning From the Ground Up

odsc

The main objective of this workshop is to give the audience hands on experience with several Hadoop technologies and jump start their hadoop journey. In this workshop, you will load data and submit queries using Hadoop! Before jumping in to the technology, the Founders of DataKitchen review Hadoop and some of its technologies (MapReduce, Hive, Pig, Impala and Spark), look at performance, and present a rubric for choosing which technology to use when.

Big Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and Hive

odsc

We’ve all been told to “work smarter, not harder.” But what does working smarter really mean? In the world of finance and trading, working smarter means working differently. None of us can compete against computers stacked inches away from the stock exchange or blue chip companies with multi-million dollar marketing campaigns. The key to winning is to go where the big guys haven’t and the way to do that is through diverse datasets. In this talk, you will discover the theory and tools to discover new datasets from unexpected sources in order to gain an upper-hand in both finance and business. So whether you’re a quant that trades in his bedroom or a restaurateur looking to grow his business, you’ll learn how the diversity of data can be the sharpest knife if your set.

Think Breadth, Not Depth

odsc

In this presentation I will describe the way Data Science supports the business of information and news at Dow Jones. Specifically, I will describe how we are introducing innovative and advanced large-scale information mining and analytic approaches not only into Dow Jones’ products but also into our strategy and decision making processes.Our goal is to impact every aspect of Dow Jones: from the way journalism is produced in the newsroom, to the way we create and deliver institutional products, to the way we improve retention and acquisition of subscribers. While the task seems broad and daunting, we have already achieved various successes through the application of machine learning, data mining, advanced analytics and big data approaches.In this presentation I will describe how we have achieved this, including our tools, data, approaches and mechanisms as well as describe what our plans are going forward.

Data Science at Dow Jones: Monetizing Data, News and Information

odsc

Have you been in the situation where you’re about to start a new project and ask yourself, what’s the right tool for the job here? I’ve been in that situation many times and thought it might be useful to share with you a recent project we did and why we selected Spark, Python, and Parquet. My plan is take you through a use case that involves loading, transforming, aggregating, and persisting the dataset. We’ll use an open dataset consisting of full fund holdings graciously provided by Morningstar. My goal in presenting this use case are to have the audience learn about how these technologies can be applied to a real world problem and to inspire members of the audience to start learning these technologies and applying them to their own projects.

Spark, Python and Parquet

odsc

Create and operationalize a predictive model using Microsoft Azure Machine Learning. – Perform the typical steps involved in building a predictive analytics solution such as data ingestion, data cleansing, data exploration, feature engineering, model selection and evaluation of model results –learn how to use machine learning with big data scenarios using tools like Hadoop and SQL Server to process and work with such data.

Building a Predictive Analytics Solution with Azure ML

odsc

Finding and classifying the mentions of the things named in text, often called Named Entity Recognition or NER, is a fundamental task in many search and analysis applications. Mature, robust NER technology is available for many languages and domains, from people, places, and products, to diseases, genes, and molecules. However, for emerging tasks like knowledge-base construction, mentions alone are insufficient. In this presentation we’ll explore techniques that go beyond names to: link mentions to one another and to rich knowledge sources like Wikidata discover and characterise the relationships between entities that are explicit in the text And we’ll discuss some of the most important practical implications of these advancements for open data science.

Beyond Names

odsc

According to Credit Suisse’s Gender 3000 report, at the end of 2013, women accounted for 12.9% of top management in 3000 companies across 40 countries. However, since 2009, companies with women as 25-50% of their management team returned 22-29%. If companies with women in management outperform so dramatically, what would happen if you invested in women-led companies? Karen Rubin will explore this question and share her findings after running a 12 year investment simulation.

How Woman are Conquering the S&P 500

odsc

Data science allows us to turn a dark forest into a world of perpetual twilight by giving us the tools to better understand the data that surrounds us. Unfortunately, in this world of twilight we still need a flashlight to get a clean crisp image of our immediate surroundings. We will talk about how to use deep domain expertise as that flashlight shedding light on our understanding of data. Our focus will be on using text analysis as a means to examine qualitative information in a structured, quantitative way. We will draw heavily from examples in complex central bank policy and financial regulation.

Domain Expertise and Unstructured Data

odsc

This talk shares the presenter’s experience with open source tools in data science competitions. In the past several years Kaggle and other competitions have created a large online community of data scientists. In addition to competing with each other for fame and glory, members of this community also generously share knowledge, insights using forum and open source code. The open competition and sharing have resulted in rapid progress in the sophistication of the entire community. This presentation will briefly cover this journey from a competitor’s perspective, and share hands on tips on some open source tools proven popular and useful in recent competitions.

Open Source Tools & Data Science Competitions

odsc

scikit-learn has emerged as one of the most popular open source machine learning toolkits, now widely used in academia and industry. scikit-learn provides easy-to-use interfaces to perform advanced analysis and build powerful predictive models. The tutorial will cover basic concepts of machine learning, such as supervised and unsupervised learning, cross validation, and model selection. We will see how to prepare data for machine learning, and go from applying a single algorithm to building a machine learning pipeline. We will also cover how to build machine learning models on text data, and how to handle very large datasets.

Machine Learning with scikit-learn

odsc

Despite the proliferation of open-source tools for analysis (such as Python and R) and those used for visualization (such as Javascript / D3), there often exist significant gaps between these areas, and those of us trying to navigate the complete arc from data to insight can encounter many obstacles along the way. Fortunately, in recent years there have been many efforts to fill these needs, and today distilling a meaningful visualization from raw data is faster and easier than ever before. In this talk we will use will use examples in geospatial analysis and visualization to illustrate how to open-source tools like Python, geopandas, and TileMill work together. Using examples from the RunKeeper mobile app we will show how we currently use these tools to understand better our customers and their data, and to communicate with our colleagues, external partners, and the data community at large.

Bridging the Gap Between Data and Insight using Open-Source Tools

odsc

Top 10 Signs of the Textpocalypse

odsc

The Art of Data Science

odsc

Frontiers of Open Data Science Research

odsc

One of the most important, yet often overlooked, aspects of predictive modeling is the transformation of data to create model inputs, better known as feature engineering (FE). This talk will go into the theoretical background behind FE, showing how it leverages existing data to produce better modeling results. It will then detail some important FE techniques that should be in every data scientist’s tool kit.

Feature Engineering

odsc

Mais de odsc (20)

Understanding the Chief Data Officer

Machine-In-The-Loop for Knowledge Discovery

API Driven Development

Mobile technology Usage by Humanitarian Programs: A Metadata Analysis

Productionizing Deep Learning From the Ground Up

Big Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and Hive

Think Breadth, Not Depth

Data Science at Dow Jones: Monetizing Data, News and Information

Spark, Python and Parquet

Building a Predictive Analytics Solution with Azure ML

Beyond Names

How Woman are Conquering the S&P 500

Domain Expertise and Unstructured Data

Open Source Tools & Data Science Competitions

Machine Learning with scikit-learn

Bridging the Gap Between Data and Insight using Open-Source Tools

Top 10 Signs of the Textpocalypse

The Art of Data Science

Frontiers of Open Data Science Research

Feature Engineering

Último

Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

Why Teams call analytics are critical to your entire business

panagenda

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

apidays

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Edi Saputra

The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Victor Rentea

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

MadyBayot

💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...

?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@

Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf

Orbitshub

ICT role in 21st century education and its challenges

rafiqahmad00786416

Exploring Multimodal Embeddings with Milvus

Zilliz

Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.

Corporate and higher education May webinar.pptx

Rustici Software

Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Finding Java's Hidden Performance Traps @ DevoxxUK 2024

Victor Rentea

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

The action of the next cyber saga takes place in the mystical lands of the Asia-Pacific region, where the main characters began their digital activities in the middle of 2021 and qualitatively strengthened it in 2022. Corporate espionage, document theft, audio recordings, and data leaks from messaging platforms were all a matter of one day for Dark Pink. Their geographical focus may have started in the Asia-Pacific region, but their ambitions knew no bounds, targeting a European government ministry in a bold move to expand their portfolio. Their victim profile was as diverse as a UN meeting, targeting military organizations, government agencies, and even a religious organization. Because discrimination is not a fashionable agenda. In the world of cybercrime, they serve as a reminder that sometimes the most serious threats come in the most unassuming packages with a pink bow.

Cyberprint. Dark Pink Apt Group [EN].pdf

Overkill Security

FWD Group - Insurer Innovation Award 2024

The Digital Insurer

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

apidays

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez

Kaggle The Home of Data Science

1. KAGGLE THE HOME OF DATA SCIENCE Anthony Goldbloom O P E N D A T A S C I E N C E C O N F E R E N C E_ BOSTON 2015 @opendatasci

2. Kaggle The home of data science

3. GE Flight Quest 2 Optimize flight routes based on weather & traffic $250,000 122 teams Hewlett Foundation: Automated Essay Scoring Develop an automated scoring algorithm for student-written essays $100,000 155 teams Allstate Purchase Prediction Challenge Develop an automated scoring algorithm for student-written essays $50,000 1,570 teams Merck Molecular Activity Challenge Help develop safe and effective medicines by predicting molecular activity $40,000 236 teams Higgs Boson Machine Learning Challenge Use the ATLAS experiment to identify the Higgs boson $13,000 1,302 teams

4. Age Income Default 58 $95,824 True 73 $20,708 False 59 $82,152 False 66 $25,334 True Age Income Default 73 $53,445 61 $36,679 47 $90,422 44 $79,040 Training Data Test Data The Kaggle Approach

6. Mapping Dark Matter Competition Progress Accuracy (lower is better) Week 1 Week 3 Week 5 Week 7 End .0150 .0170 Martin O’Leary PhD student in Glaciology, Cambridge U

7. “In less than a week, Martin O’Leary, a PhD student in glaciology, outperformed the state-of-the-art algorithms” “The world’s brightest physicists have been working for decades on solving one of the great unifying problems of our universe”

8. Mapping Dark Matter Competition Progress Accuracy (lower is better) Week 1 Week 3 Week 5 Week 7 End .0150 .0170 Martin O’Leary PhD student in Glaciology, Cambridge U Marius Cobzarenco Grad student in computer vision, UC London Ali Haissaine & Eu Jin Loc Signature Verification, Qatar U & Grad Student @ Deloitte Other deepZot (David Kirkby & Daniel Margala) Particle Physicist & Cosmologist

9. EXAMPLE ESSAY QUESTION — We all understand the benefits of laughter. For example, someone once said, “Laughter is the shortest distance between two people.” Many other people believe that laughter is an important part of any relationship. Tell a true story in which laughter was one element or part. We can work with difficult data —

10. The winning model correctly predicted seizures 82% of the time. Until that point, researchers had struggled to develop an algorithm that did better than chance Mayo Clinic: Seizure detection from EEG readings

11. We’ve worked with many of the world’s largest companies Healthcare & Pharma Consumer Internet Finance IndustrialConsumer Marketing Oil & Gas $50b+ Beverage Co. Global Bank Top Credit Card Issuer Top 5 E&P Top 20 E&P

12. Community of over 320K data scientists

13. That submit over 100K machine learning models per month 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 160,000 May-10 May-11 May-12 May-13 May-14 May-15 Monthly Submissions to Kaggle Competitions

14. Feature engineering matters most

15. Good software engineering practices and robust statistical methods are key

16. 80% of data science is grunt work and only 20% involves deep thinking

17. A good pipeline makes data scientists more productive and their work higher quality and more enjoyable

18.

19.

20.

21.

22.

23.

24. Our workflow environment will be the central repository for all data science work in a company

25. Anthony Goldbloom a@kaggle.com 650 283 9781

Notas do Editor

People currently come to Kaggle
We score their solutions in real time.
Palantir is really starting to own the reporting layer. We want to own optimization and predictive modeling. Our competition platform gives us a head start in this direction.
People don’t come to us with churn or cross sell, but they typically come to us with their hardest problems, and I’ll talk more about this soon. It’s for these reasons that we continue to invest in the competition platform. It’s a very efficient operation. It’s currently running with a headcount of 4. We believe 6 is the right long term number of people to invest in competitions. We decided to focus on Oil & Gas because after working with ~25 Fortune 500s and 12 industries, we believe it’s the biggest opportunity for machine learning and most ripe for disruption. Specifically because: Greatest value add: Huge gap between what they’re doing and what’s possible Shale is disruptive: the industry is looking for new ideas making it a good environment to be selling into.
Kaggle Competitions – breakeven business Access to most advanced and proven techniques Recruiting the very best of a scarce resource C-level access from leadership positioning in media
Kaggle Competitions – breakeven business Access to most advanced and proven techniques Recruiting the very best of a scarce resource C-level access from leadership positioning in media

Kaggle The Home of Data Science

Recomendados

Recomendados

Mais conteúdo relacionado

Semelhante a Kaggle The Home of Data Science

Semelhante a Kaggle The Home of Data Science (20)

Mais de odsc

Mais de odsc (20)

Último

Último (20)

Kaggle The Home of Data Science

Notas do Editor