Wed.Sep 18, 2019

Mastering Data Variety


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)


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

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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)


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.

ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

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


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”.

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.

More Trending

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.

The 5 Sampling Algorithms every Data Scientist need to know


Algorithms are at the core of data science and sampling is a critical technical that can make or break a project. Learn more about the most common sampling techniques used, so you can select the best approach while working with your data. 2019 Sep Tutorials, Overviews Algorithms Sampling

Why 89% of Companies are Prioritizing Data Fluency


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

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


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

How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose and how they can be addressed with a more modern approach.

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

Reddit Post Classification


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


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.

Python 2 End of Life Survey – Are You Prepared?


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


The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.

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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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


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

Announcing DataRobot MLOps


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.

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


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.

The Time-Saving Power of Intent Data for Sales

By using the power of intent data, capturing buyer interest has become more feasible for sales. Not only that, but using it will save immense time during your workflow; a win-win on all fronts.