Fri.Nov 29, 2019

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IADSS Talk – Who can be a Data Scientist?

Data Science 101

Initiative for Analytics and Data Science Standards (IADSS) is an organization working to develop standards around the roles in data science. They did a large survey earlier this year and they are starting to role out some of their results. Below is a video with some early results. Great Stuff! Data Science 101 is proud to be an IADSS Digital Community Partner.

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Two Years In The Life of AI, Machine Learning, Deep Learning and Java

KDnuggets

Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.

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Cloud Data Science News – Beta #4

Data Science 101

In the United States, it is a holiday week, so the news is pretty limited from many of the big cloud providers. Luckily, Amazon has come through with a flurry of machine learning announcements. Amazon is holding their annual re:Invent Conference next week, so maybe these announcements are precursors to some bigger news next week. We will have to wait and see.

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Lit BERT: NLP Transfer Learning In 3 Steps

KDnuggets

PyTorch Lightning is a lightweight framework which allows anyone using PyTorch to scale deep learning code easily while making it reproducible. In this tutorial we’ll use Huggingface's implementation of BERT to do a finetuning task in Lightning.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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How To Select Ideal SEO Courses In The Big Data Era

Smart Data Collective

Big data is changing the future of the SEO profession. We have witnessed a number of ways that big data can influence the industry. Some of the changes include the following: Big data can be used to identify new link building opportunities through complicated Hadoop data-mining tools. Big data can make it easier to provide a more personalized user experience, which is key to ranking well in Google these days.

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Markov Chains: How to Train Text Generation to Write Like George R. R. Martin

KDnuggets

Read this article on training Markov chains to generate George R. R. Martin style text.

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How Advances In Big Data Technology Make RPA Automation Viable

Smart Data Collective

Big data technology is essential to the field of robotics. Big data has made it easier than ever to automate certain processes with complicated robotic tools. Robotic Process Automation or RPA is a computer coded software that helps automate tedious, rule-based processes, thus improving productivity , eliminating human errors, and bringing value to the organization.