This year's KDD Cup features four distinct tracks that welcome participants to tackle challenges in e-commerce, generative adversarial networks, automatic graph representation learning (AutoGraph) and mobility-on-demand (MoD) platforms. Winners will be recognized at KDD 2020, the leading interdisciplinary conference in data science, in San Diego on August 23-27, 2020.

Here is an overview of another great natural language processing resource, this time from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.

This article demonstrates how building a smarter API serving Deep Learning models minimizes the response time.

AI tools and services are expanding at a rapid clip, and keeping a handle on this evolving ecosystem is crucial for the success of your AI projects. This framework will help you build your technical stack to deploy AI projects faster and at scale.

Also: Coronavirus COVID-19 Genome Analysis using Biopython; LSTM for time series prediction; A Concise Course in Statistical Inference: The Free eBook; Exploring the Impact of Geographic Information Systems

"Deep Learning" is the quintessential book for understanding deep learning theory, and you can still read it freely online.

Optimus, FQ-GAN and Prevalent bring new ideas to apply generative models at large scale.

As the global economy dwindles, tech companies are hiring en masse. Now is the time to get yourself noticed as a Data Scientist and try to land your dream job.

At present, the data scientist is one of the most sought after professions. That’s one of the main reasons why we decided to cover the latest data visualization tools that every data scientist can use to make their work more effective.

This post will unravel a practical example to illustrate and motivate the intuition behind each step of the spectral clustering algorithm.

This online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

5 cool Python libraries for Data Science; NLP Recipes: Best Practices and Examples; Deep Learning: The Free eBook; Demystifying the AI Infrastructure Stack; and more.

Check out this curated collection of coronavirus-related projections, dashboards, visualizations, and data that we have encountered on the internet.

Train a "blackbox" GBM model on a real dataset and make it explainable with SHAP.

Understanding the types of statistical bias that pop up in popular media and reporting is especially important during this pandemic where the data -- and our global response to the data -- directly impact peoples' lives.

What are Some 'Advanced ' #AI and #MachineLearning Online Courses?; 24 Best (and Free) Books To Understand Machine Learning; Top 5 must-have #DataScience skills for 2020

Check out this comprehensive guide to model optimization techniques.

Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.

With time-series decomposition, we were able to infer that the consumers were waiting for the highest sale of the year rather than buying up-front.

I realized that from a corporate perspective, “fortune teller” was not entirely off from the role of a “data scientist”.

The Spotify-owned company’s new tool may help businesses get more out of their webinars and online conference content.

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Advertisers concerned with brand safety can choose to exclude ads from appearing in Live content.

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Love it or hate it, the double sidebar makes context switching a lot easier as you move between ad accounts or from other search engines.

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Acoustic’s head of product marketing said his company made major pivots at the start of last month. This is how he built a martech stack that allowed for such massive shifts.

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This year,the company says it has removed “tens of millions” of COVID-19 related ads.

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Aprimo CMO says marketers are currently struggling with what he calls “digital sameness” — where everyone is doing the same thing online.

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The hit in mid-March was sudden and dramatic, but there appear to be signs, including from media buyers, that the worst is over.

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Marketers seem to be favoring performance marketing even as brand may be gaining in consumer importance.

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As we progress, it is important to adapt your strategy, organization and communication.

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A successful path for brands means they must keep the platform’s content standards top of mind as well as make regular posts and participate in what’s trending.

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With the workforce at home, a rise in agile adoption, and organizations making major pivots in strategy, the need for these types of platforms is likely to continue.

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The companies are part of a shift toward deeper integration between online and offline operations.

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We want to know how your thoughts on attending live person events through the end of this year.

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Despite numerous unknowns and continued challenges, many agencies and advertisers have shifted gears for the next phase.

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It’s one step closer to the podcast analytics advertisers have been waiting for.

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Join us online for SMX Next, a free virtual event designed to equip you with actionable SEO and SEM tactics that can drive more traffic, leads, and sales.

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For many sophisticated marketing technology platforms, it is nearly impossible to be a technology-only company.

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This is the first time Google says it has provided this kind of data to the public.

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