Wed.Sep 18, 2019

Mastering Data Variety

Tamr

Data variety — the middle child of the three Vs of Big Data — is in big trouble. . It’s in the critical path of enterprise data becoming an asset. And it’s been slow to benefit from the kind of technology advancements experienced by its “easier” siblings, data volume and data velocity.

Data Science is Boring (Part 1)

KDnuggets

Read about how one data scientist copes with his boring days of deploying machine learning. 2019 Sep Opinions Career Advice Data Science Machine Learning

4 Unique Methods to Optimize your Python Code for Data Science

Analytics Vidhya

Overview Writing optimized Python code is a crucial piece in your data science skillset Here are four methods to optimize your Python code (with. The post 4 Unique Methods to Optimize your Python Code for Data Science appeared first on Analytics Vidhya.

3 reasons mobile business intelligence apps have minimal adoption in your business (and how to fix it)

Corinium

Instant noodles and the on-demand life. It’s no secret that, despite the huge movement toward sustainable living, we just can’t live without some things being instant.

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

Cambridge Analytica whistleblower Chris Wylie to headline Big Data LDN 2019 keynote programme

DataFloq

The UK’s largest data & analytics conference and exhibition, Big Data LDN (London), have recently announced Chris Wylie will headline their 2019 keynote programme. The New Yorker calls him “a pink-haired, nose-ringed oracle sent from the future”.

More Trending

How Artificial Intelligence Is Revolutionizing Insurance

DataFloq

Artificial intelligence has been named a disruptive force in multiple areas, including finance, healthcare, and security. The insurance sector can benefit significantly from these advancements of cognitive technology too. This is made possible with the heaps of data collected by insurance companies and not used to their full potential.

Top KDnuggets tweets, Sep 11-17: Python Libraries for Interpretable Machine Learning

KDnuggets

Also: Cartoon: Unsupervised #MachineLearning?; Cartoon: Unsupervised Machine Learning ? How to Become More Marketable as a Data Scientist; Ensemble Methods for Machine Learning: AdaBoost. 2019 Sep Top Stories, Tweets Top tweets

AI Paves The Road For Incredible Changes In The Gaming Industry

Smart Data Collective

I recently read a great post from The Verge on the impact of AI on the video gaming industry. Author Nick Statt made a great point about the evolution of AI in the industry. Pratt pointed out that AI has been a factor in the video game industry since the very beginning.

Reddit Post Classification

KDnuggets

This article covers the implementation of a data scraping and natural language processing project which had two parts: scrape as many posts from Reddit’s API as allowed &then use classification models to predict the origin of the posts. 2019 Sep Tutorials, Overviews Classification NLP Reddit

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

Exploring US Real Estate Values with Python

Domino Data Lab

This post covers data exploration using machine learning and interactive plotting. If interested in running the examples, there is a complementary Domino project available. Introduction. Models are at the heart of data science.

Python 2 End of Life Survey – Are You Prepared?

KDnuggets

Support for Python 2 will expire on Jan. 1, 2020, after which the Python core language and many third-party packages will no longer be supported or maintained. Take this survey to help determine and share your level of preparation. 2019 Sep News Python Survey

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Why 89% of Companies are Prioritizing Data Fluency

DataCamp

Learn why data fluency is important to achieve better business results and what it takes to get there

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KDnuggets™ News 19:n35, Sep 18: Which Data Science Skills are core and which are hot/emerging ones?; There is No Free Lunch in Data Science Features

KDnuggets

Check the results of KDnuggets' latest poll to find out which data science skills are core and which are hot/emerging ones; why is there no free lunch in data science?; training Scikit-learn 100x faster; poking fun at unsupervised machine learning; exploring the case for ensemble learning. All this and much more this week on KDnuggets. KDnuggets 2019 Issues Cartoon Data Science Data Science Skills Ensemble Methods Poll scikit-learn Training Unsupervised Learning

Embedding Operational Reports: Everything Product Managers Should Know

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.

Tableau explains your data with new natural-language tool

CIO Business Intelligence

Self-service analytics tools have long empowered users to produce data visualizations without the need for IT intervention. Recent advances, such as data prep automation, have further lowered the barrier of entry, but this push to democratize analytics surely has its limits. After all, users still have to interpret the data visualizations they produce. Tableau’s 2019.3

Inaccessible

Perceptual Edge

In our efforts to make knowledge accessible to everyone, if we’re not careful, good intentions can cause us to blunder into useless attempts that benefit no one. I was painfully reminded of this recently when I received a request from a university for an electronic version of my book Show Me the Numbers to accommodate the needs of a student who is blind.

Sirius Receives Recognition from Pure Storage at Pure//Accelerate 2019

Sirius Computer Solutions

Sirius recognized as top partner of the year. . San Antonio, TX—18 September, 2019 — Sirius Computer Solutions, Inc. Sirius), a leading national IT solutions integrator, announced it is the recipient of the Pure Storage U.S.

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Announcing DataRobot MLOps

DataRobot

The truth is that the work of data scientists cannot generate value if the models never make it to production. For data scientists writing custom models in languages like Python and R, the number of challenges for getting models into production can be overwhelming.

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

Edge2AI Autonomous Car: Building an Edge to AI data pipeline (2 of 3)

Cloudera

Intro. In our previous blog post , we collected data from sensors mounted on our smart vehicle and described a ROS embedded application to prepare the data for training a machine learning (ML) model. This blog showcases the flow of data streaming from the edge to a data lake in the cloud.