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

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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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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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Sign the new AI Manifesto

Data Science 101

Much like the Agile Manifesto for Software Development, a new AI Manifesto has emerged from David “Gonzo” Gonzalez & Ben Taylor. It is currently open for signatures, so please go sign. AI Manifesto.

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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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.

Analytics 366
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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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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.

Algorithm 349
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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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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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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 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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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Fighting Overfitting in Deep Learning

KDnuggets

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

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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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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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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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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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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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.