Sat.Dec 21, 2019 - Fri.Dec 27, 2019

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5 Weird and Hilarious Uses of Data Science

Analytics Vidhya

Introduction “Ripley’s Believe or Not” features some of the weirdest and most bizarre facts from around the world. How about creating our own Ripley’s. The post 5 Weird and Hilarious Uses of Data Science appeared first on Analytics Vidhya.

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10 Best and Free Machine Learning Courses, Online

KDnuggets

Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.

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Data Science Fails: Fake News, Fake Data

DataRobot

I read most of my news online, and I'm not alone. According to a. Pew Research Center survey , a third of people prefer to get their news online. For some demographics the percentage is even higher. For example, 76% of people aged 18 to 49 who prefer to read the news also prefer to read their news online, versus only 8% via printed newspapers. The percentage of people reading news online is probably even higher due to social media, with. 68% of U.S. adults using Facebook, most of them daily.

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How Machine Learning And Contract Management Go Together

Smart Data Collective

Last year, Harvard Business Review published a great article on the ways that AI are changing contract management. Author Beverly Rich has said that AI and machine learning will be integral to contracts in the 21 st Century. Rich said that there are some challenges to utilizing AI for contracts. The biggest issue is that the majority of companies don’t retain data on their contracts.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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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2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning!

Analytics Vidhya

Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning. The post 2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.

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Random Forest vs Neural Networks for Predicting Customer Churn

KDnuggets

Let us see how random forest competes with neural networks for solving a real world business problem.

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AI Experience Roadshow Europe 2019: Highlights from Stockholm, Paris, and Madrid

DataRobot

Following the success of AI Experience London earlier in the year and in response to customer demand, we decided to extend the roadshow to other European cities. We held inaugural AI Experience events in Stockholm, Paris, and Madrid, attracting more than 300 attendees. Participants were highly engaged, evidently eager to start new AI projects or increase their capabilities.

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Business Security Meets Open Source Code: Managing Software Vulnerabilities

Smart Data Collective

Years ago, when we talked about open source code, we were talking about something that was really only relevant to classic computer geeks – the ones running their computers on Unix and swapping bits of code on message boards. Times have changed, though, and now open source code is an integral part of how most businesses and just about anyone in the software world does their work.

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Market Basket Analysis: A Tutorial

KDnuggets

This article is about Market Basket Analysis & the Apriori algorithm that works behind it.

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Cloud Data Science News – Beta 8

Data Science 101

It is the days between Christmas and New Years, so the there is not much news to share. Here are the few bits of information I could find. News. AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. Now they support Tensorflow 2.0. Videos. An intro to Azure FarmBeats An innovative idea to bring data science to farmers.

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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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How explainable AI fails and what to do about it

Depends on the Definition

This article heavily relys on "Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead" by Cynthia Rudin and finally on some of my personal experiences. I will mainly focus on technical issues and leave out most of the governance and ethics related issues that derive from these.

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Why Digital Adoption Rests On Understanding Employee Data

Smart Data Collective

Digital transformation is one of the biggest challenges facing enterprises today. In a rapidly changing market, many organizations are struggling to keep up with the pace of business. All too often, companies find themselves facing an extremely complex situation which they’re not sure how to resolve: They need to introduce new digital tools in order to raise productivity and keep their company competitive, but those very tools are undermining productivity among their employees.

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What is a Data Scientist Worth?

KDnuggets

What is the Salary of a Data Scientist in 2019? Let's have a look at some data to see how we can answer that question.

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Cloud Data Science News in 60, Beta 7

Data Science 101

It’s Christmas week, but there has been some data science news recently. You can see all the details at Cloud Data Science News, Beta 7 or you can watch the 60 second video. Thanks for watching and Merry Christmas!

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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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Fighting Overfitting in Deep Learning

KDnuggets

This post outlines an attack plan for fighting overfitting in neural networks.

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How To “Ultralearn” Data Science: deep understanding and experimentation, Part 4

KDnuggets

In this fourth and final part of the ultralearning data science series, it's time to take the final steps toward developing a deep understanding of the fundamentals and learning how to experiment -- the two aspects that are the ultimate keys to ultralearning.

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KDnuggets Cartoon in an English textbook?

KDnuggets

KDnuggets is not only for learning about AI, Data Science, and Machine Learning. A KDnuggets cartoon has been included in an English language and culture textbook for French high-school students.

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What is Data Catalog and Why You Should Care?

KDnuggets

Learn why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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KDnuggets™ News 19:n49, Dec 27: What is a Data Scientist Worth? New Explainable AI from Google

KDnuggets

What is a Data Scientist Worth?; Google's New Explainable AI Service; The Most In Demand Tech Skills for Data Scientists; The 4 fastest ways NOT to get hired as a data scientist; and KDnuggets Cartoon which was included in a surprising textbook.

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Merging AI With Online Marketing For Explosive Growth

Smart Data Collective

The market size for artificial intelligence technology is expected to reach $190.6 billion by 2025. This statistic is hardly surprising. Artificial intelligence is transforming the corporate world in almost every way. One of the biggest ways that AI is changing the future of business is by improving the effectiveness of online marketing. Smart businesses will look for new ways to use AI to boost their online marketing strategies.

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How to Choose a New Inventory Software System

Smart Data Collective

Inventory management software, if implemented correctly, can help you save time, improve the accuracy of your product tracking, and even improve your bottom-line financials. However, there are many ways to get it wrong. If you choose a platform that’s hard to use, you’ll spend as much time training employees and correcting their mistakes as you’ll save by using it.