Sat.Mar 21, 2020 - Fri.Mar 27, 2020

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Coronavirus Data and Poll Analysis – yes, there is hope, if we act now

KDnuggets

We examine the growth of coronavirus daily cases in most affected countries, and show evidence that social distancing works in reducing the rate of spread. We also analyze KDnuggets Poll results - the scale of change to online and how Data Science work is likely to increase or drop in different regions. Stay Healthy and practice social distancing!

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Behind The Scenes Of The Linode Object Storage Service

Data Engineering Podcast

Summary There are a number of platforms available for object storage, including self-managed open source projects. But what goes on behind the scenes of the companies that run these systems at scale so you don’t have to? In this episode Will Smith shares the journey that he and his team at Linode recently completed to bring a fast and reliable S3 compatible object storage to production for your benefit.

Media 100
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Trending Sources

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ksqlDB: The Missing Link Between Real-Time Data and Big Data Streaming

Confluent

Is event streaming or batch processing more efficient in data processing? Is an IoT system the same as a data analytics system, and a fast data system the same as […].

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Five Books Every CX Leader Should Read in this Time of Social Distancing

Teradata

Check out this curated reading list of books on customer experience. From updated classics to new research and insights into how large enterprises can drive business outcomes from a CX initiative.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Exploring TensorFlow Quantum, Google’s New Framework for Creating Quantum Machine Learning Models

KDnuggets

TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures.

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Learn to Optimize Algorithms in Our New Algorithm Complexity Course

Dataquest

Algorithms are at the center of almost any programming job. And particularly in the world of data engineering, using efficient algorithms is important enough that it’s a common topic to be quizzed about in job interviews. That’s why we’ve just launched a new course! Algorithm Complexity is the latest course in our Data Engineer career path.

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Nordea Bank

Teradata

Applying cognitive automation to keep pace with increasingly complex financial regulations and consumer expectations.

Banking 52
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Why BERT Fails in Commercial Environments

KDnuggets

The deployment of large transformer-based models in dynamic commercial environments often yields poor results. This is because commercial environments are usually dynamic, and contain continuous domain shifts between inference and training data.

Data 153
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Want to Build an AI Model for Your Business? Read this

KDnuggets

The best approach for AI production is similar to what venture capitalists (VC’s) do when they evaluate and invest in startups.

Building 129
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Made With ML: Discover, build, and showcase machine learning projects

KDnuggets

This is a short introduction to Made With ML, a useful resource for machine learning engineers looking to get ideas for projects to build, and for those looking to share innovative portfolio projects once built.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Evaluating Ray: Distributed Python for Massive Scalability

KDnuggets

If your team has started using ?Ray? and you’re wondering what it is, this post is for you. If you’re wondering if Ray should be part of your technical strategy for Python-based applications, especially ML and AI, this post is for you.

Python 115
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Top AI Resources – Directory for Remote Learning

KDnuggets

Whether you are just learning Data Science, a current professional, or just interested, it's crucial to keep the mind stimulated and stay current. With conferences, schools, and travel largely canceled because of #coronavirus, these remote resources will help you stay engaged.

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Diffusion Map for Manifold Learning, Theory and Implementation

KDnuggets

This article aims to introduce one of the manifold learning techniques called Diffusion Map. This technique enables us to understand the underlying geometric structure of high dimensional data as well as to reduce the dimensions, if required, by neatly capturing the non-linear relationships between the original dimensions.

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Graph Neural Network model calibration for trusted predictions

KDnuggets

In this article, we’ll talk about calibration in graph machine learning, and how it can help to build trust in these powerful new models.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Alternative Data, Text Analytics, and Sentiment Analysis in Trading and Investing

KDnuggets

Different types of data beyond your typical dollars and cents have been used in the finance industry for many years. By leveraging machine learning, sentiment data is expected to play an increasingly dominant role in the investment industry, and this article highlights some special challenges of its use in trading models.

Finance 97
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Top Stories, Mar 16-22: 24 Best (and Free) Books To Understand Machine Learning

KDnuggets

Also: Time Series Classification Synthetic vs Real Financial Time Series; Nine lessons learned during my first year as a Data Scientist; What is the most effective policy response to the new coronavirus pandemic?; Nine lessons learned during my first year as a Data Scientist; Five Interesting Data Engineering Projects.

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How to Make Remote Work Effective for Data Science Teams

KDnuggets

This post aims to highlight some work from home best practices, both general and data science-specific, in order to help data scientists and teams remain productive, connected and happy while working remotely.

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KDnuggets™ News 20:n12, Mar 25: 24 Best (and Free) Books To Understand Machine Learning; Coronavirus Daily Change and Poll Analysis; 9 lessons learned during 1st year as a Data Scientist

KDnuggets

Read our analysis of coronavirus data and poll results; Use your time indoors to learn with 24 best and free books to understand Machine Learning; Study the 9 important lessons from the first year as a Data Scientist; Understand the SVM, a top ML algorithm; check a comprehensive list of AI resources for online learning; and more.

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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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Top KDnuggets tweets, Mar 18-24: Advice to Data Scientists: don’t post a blog on #coronavirus based on your ad-hoc data analysis without reading something on epidemiology – here are some useful links

KDnuggets

#Coronavirus growth in Western countries: March 19 update - Spain and US cases; If you need a break from #coronavirus news, here is #AlphaGo - The Movie; Which Country Has Flattened the Curve for the #Coronavirus?; Excellent source of #Coronavirus info - FT.

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How to Make Your Open Source Apache Kafka Connector Available on Confluent Hub

Confluent

Do you have data you need to get into or out of Apache Kafka®? Kafka connectors are perfect for this. There are many connectors out there, usually for well-known and […].

Kafka 56
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Don’t let panic worsen the COVID-19 crisis: Let data run the supply chain

Teradata

Understanding the supply chain and how panic buying not only worsens the situation but also has long term impact on forecasting and demand models.

Data 45