Make the Most of Your Data

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You Have 100 Days to Lead a Data Revolution

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Exploratory Data Analysis in Python

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Introducing the SVDS Data Dialogues webinar series  |  July 27th, 2017 I recently read an article by Jeff Haden, A Brutal Truth About Success That Few People are Willing to Admit, in which he wrote: “Many people feel that buying something new—new technology, new devices, new systems, new ‘stuff’—is the key to success. They’re convinced …

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Are You Ready?  |  July 25th, 2017 Most data resides unused on corporate servers—information that, if unlocked, could create sustainable competitive advantage. That’s why smart companies are looking for digital change leaders to guide their organizations through the transformation around using data rather than just collecting it. We’ll call these change agents Chief Data Officers, …

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New Rules for a New Data Ecosystem  |  July 11th, 2017 As data and analytics technology change, they bring new data governance challenges with them. Of course, there are various definitions of data governance, depending on whom you ask. For the purposes of this post, we’re defining it as the practices that ensure the proper …

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With Github, Jenkins, SonarQube, and Artifactory  |  July 6th, 2017 Introduction Here at Silicon Valley Data Science, we try to optimize our delivery by automating key portions of our software release cycle. This helps our clients avoid a lot of up-front cost when setting up a new data science or engineering project. In order to …

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Winning at DeepGram Hackathon  |  June 29th, 2017 How can artificial neural nets help in understanding our brain’s neural net? On the weekend of March 24–26, YCombinator-backed startup DeepGram hosted a deep learning hackathon. The weekend-long event included speakers and judges from Google Brain, NVIDIA, and Baidu. My colleague, Dr. Matt Rubashkin, also participated and …

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Failure has a bad rap  |  June 22nd, 2017 In today’s hero culture, failure can lead to demoralization, loss of status, or loss of job. Teams that fail too much lose resources and ultimately fall apart. Fear of failure may be especially acute among company leaders, those women and men who are paid handsomely to …

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PyCon 2016 tutorial  |  June 8th, 2017 Earlier this year, we wrote about the value of exploratory data analysis and why you should care. In that post, we covered at a very high level what exploratory data analysis (EDA) is, and the reasons both the data scientist and business stakeholder should find it critical to …

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How Data Science Drives Success  |  June 1st, 2017 From asking Amazon Alexa for traffic conditions, to receiving helpful tips from Slackbot, to using WeChat to book doctor’s appointments, bots are becoming omnipresent in our lives. The bot market is hot! There’s a plethora of companies and investments in bots: VentureBeat’s 2016 Bots Landscape shows …

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Clarify, don’t complicate  |  April 25th, 2017 Editor’s note: Julie recently spoke on this subject at TDWI Accelerate Boston. To sign up for her slides (and our other Accelerate presentations), visit our event page.  A lot of people who are new to data visualization feel that they have to design something novel and amazing in order …

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