Data Driven
Summary: Data Driven: the podcast where we explore the emerging field of Data Science. We bring the best minds in Data, Software Engineering, Machine Learning, and Artificial Intelligence right to you every Tuesday. The field of data science mashes up the worlds of statistics, database architecture and software engineering. Data Scientist has been labelled by the Harvard Business Review, as "the sexiest job of the 21st century." A quick search of job search sites reveal that this field is in high demand. In a world where Data is the new Oil, Data Science the new Refineries, consider this Car Talk for the Data Age. Every week we bring the best minds in this emerging field straight to you. Our goal is to educate and inspire our listeners so that they can be prepared to thrive in a Data Driven world.
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In this Data Point, Frank talks about the inspiring and awesome people he met at the show so far.
In this Data Point, Frank and his special co-host explore the Data Intelligence Conference and the great swag they are giving away. Spoiler alert: it's tough to beat the appeal of a fidget spinner to a seven year old!
Data Science Daily Notes for June 23, 2017 @Mr_Prometheus The #DataScience Renaissance via: @robdthomas https://medium.com/towards-data-science/the-data-science-renaissance-166cddde898f @pakinproton How Much Embellishment In Your Data Visualizations? https://datarvalue.blogspot.mx/2017/06/how-much-embellishment-in-your-data.html … #DataScience #Datavisualization @SethGrimes Eight reasons to attend the June 27-28 Sentiment Analysis Symposium https://breakthroughanalysis.com/2017/06/07/eight-reasons-to-attend-the-june-27-28-sentiment-analysis-symposium/ … @SentimentSymp #NLP #EmotionAI #CX #MRX #VOC @kdnuggets Matrix Factorization in PyTorch #Python http://buff.ly/2sWNpny
Data Science Daily Show Notes @theRegister Learn Machine Learning in 15 Miinutes https://www.theregister.co.uk/2017/06/21/15_minutes_in_machine_learning/ @KirkDBorne Collections of great #DataScience articles at @DataScienceCtrl http://bit.ly/2rWyeWY #abdsc #AI #MachineLearning #Statistics #BigData #IoT @Ronald_vanLoon Why R is the best data science language to learn today | #DataScience #R #RT http://bit.ly/2j6fYGO AWS Greengrass makes it easier for business to develop for IoT. #BigData #DataScience #IoT #Analytics #EdgeComputing http://buff.ly/2sqQ9cO @joenglert Why #AI Would Be Nothing Without #BigData #datascience #deeplearning #IoT #wearables #smartcities #disruption https://www.forbes.com/sites/bernardmarr/2017/06/09/why-ai-would-be-nothing-without-big-data/
I had been wanting to do create a podcast for a while, but it was a cold morning in November that kick started the podcast that stands before you now. As a fun fact, I had a podcast that ran for about a month in 2005, but it really lacked a focus and direction. This time I was determined to do it right. Most importantly, I was committed to doing it. I decided to share some of the podcast's origin story today since I activated my hosting account a month ago yesterday and after seeing this image flash on my Twitter feed. I decided that the time had come to seize the day. After getting a concussion that sidelined me for a few weeks, I realized that our time on this world is short and if you have an idea, run with it while you are still capable of running. It's also an honor to be nearing the 4000 download mark so soon. The show has been well received and well reviewed. We really appreciate that and want to pay it forward by offering assistance to anyone who is also in that limbo between ideation and execution. If you're curious about creating a podcast, reach out and I can help you get started. Also, I can't say enough good things about PodcastWebsites.com, if you use the code HOSTME at checkout, you'll get free access to the stats package they provide. If you use this link, it also helps support the show. Thank you, Frank & Andy
Data Science Daily Show Notes @ImDataScientist RT @bobehayes: 7 Common #DataScience Mistakes and How to Avoid Them http://bit.ly/1QtEPQt with @KirkDBorne #BigData #veracity iT @MachinesLearnIT 10 Free #MustReads: #MachineLearning+#Data #Science http://cm.gy/9rnj #smarttech #ML #DataScience #BigData #MustRead @analyticbridge 80+ Free Data Science Books http://buff.ly/2sFsxku @Reza_Zadeh Dataset: 300k videos tagged with 400 human actions, from DeepMind. Free to download. https://deepmind.com/research/open-source/open-source-datasets/kinetics/ …
Data Science Daily for Jun 20, 2017 Show Notes @DeepLearn007 Machine Learning: A gentle introduction #AI #machinelearning #bigdata #fintech #ML #tech http://rcardin.github.io/machine-learning/artificial-intelligence/2017/06/18/machine-learning-a-gentle-introduction.html … @AndySugs RT: @Rbloggers: Data Science Tool Market Share Leading Indicator: Scholarly Articles https://wp.me/pMm6L-Dz9 #rstats #DataScience @AmyxIoT It's time for an intelligent conversation on artificial intelligence - The Hill (blog) https://goo.gl/K7Rl52 ArtificialIntelligence AI *DataPoint* Automation Apocalypse Counterpoint: Real Time Donuts @KirkDBorne Comprehensive tutorial on Network Visualization with R: http://kateto.net/network-visualization?utm_campaign=Data%2BElixir&utm_medium=email&utm_source=Data_Elixir_136 … #BigData #dataviz #Rstats #DataScience HT @dataelixir
In this episode, Frank and Andy talk with Rimma Nehma about CosmosDB, Planet-Scale applications, and how she got started in Data. Links Posts by Rimma Nehme CosmosDB.com @rimmanehme @AzureCosmosDB Sponsor: Enterprise Data & Analytics - We are here to help. Sponsor: Audible.com - Get a free audio book when you sign up for a free trial! Notable Quotes Submitting to the PASS Summit 2017 (1:10) Blues Brothers movie reference (3:50) Data needs to be Everywhere (11:00) Planet scale (16:00) Spiderman reference - from Rimma! (17:30) Is this science fiction? (24:24) Battle-tested. (25:30) Open-source software analytics (27:30) The CosmosDB simulator (32:44) A little startup inside Microsoft (35:30) Rimma found query optimization really, really boring. (37:45) On family... (40:45) CosmosDB is truly out of this world. (48:00) On reading... (42:00) Selling door-to-door (44:45)
Krispy Kreme is a chain of donut shops here in the US that originated in Atlanta. If you've ever been to a Krispy Kreme, then you've probably seen the machine that makes the donuts that's embedded in most stores. It's fascinating to watch them go from raw dough to tasty treat right before your eyes -- all without human intervention. Watching this process earlier today made think about the "impeding doom" coming from the rise of AI systems that will take away all the jobs. Such predictions have been made in the past and, while they did have some short term impact, over the long haul, job markets evolved and people found new ways to earn an income. This time is different, however, warn the experts. But is it really different? What if automated technology systems can make a more desirable product (in this case hot, fresh donuts) a more viable business model. For instance, Dunkin Donuts, another donut store chain, makes most of their product first thing in the morning. While their donuts are tasty, they don't have that "just made" taste or smell. I've not seen Dunkin Donuts make their donuts, but I imagine their system is not as automated as Krispy Kreme's and, if it is, it's certainly not as decentralized. They may have a donut factory with the same types of machines, but they are likely centralized facilities serving multiple stores. In short, it's not possible for them to offer the "just made" taste and experience. Without automation, Krispy Kreme couldn't either. With their value add of "hot and freshly made" donuts, they've managed to expand in a space already crowded with well established competitors. As a result, their clever use of automation has created thousands of jobs and they've expanded internationally. All of this in an economy that's been hostile to growth. (See https://www.statista.com/statistics/297017/number-of-krispy-kreme-doughnuts-employees-by-type/ for some raw stats on their growth). So, will the coming age of AI eliminate jobs. Yes. In fact, it already has. But it will also offer opportunities for entrepreneurs and businesses that can deliver the types of products and services people want and do so in a way that would not be possible without that kind of automation. In short, my faith in the future has been restored by Krispy Kreme.
Data Science Daily Show Notes @gp_pulipaka Efficient #CNNs for Mobile Apps. #BigData #DeepLearning #MachineLearning #DataScience #AI #TensorFlow http://buff.ly/2seLPLo @gp_pulipaka The Memory Scalability At The Heart Of "The Machine." #BigData #MachineLearning #DataScience #AI #InMemoryComputing http://buff.ly/2sgzQNn @KirkDBorne 15 Applications of #AI in Marketing: http://www.smartinsights.com/managing-digital-marketing/marketing-innovation/15-applications-artificial-intelligence-marketing/ … #BigData #MachineLearning #DataScience #DigitalMarketing #martech #CMO @Ronald_vanLoon Quantum Computing and Deep Learning. How Soon? How Fast? | #DataScience #Artificialintelligence #RT http://bit.ly/2rtchlq
Happy Father's Day from Data Driven to all the Data Science Dads out there! We didn't launch in time for Mother's Day to celebrate all the Machine Learning Moms out there. Next year! Also, a big shout out to Andy Leonard for all his hard work at SQL Saturday Dublin and his live coverage of the event. Look in the feed or check out all the posts tagged from yesterday http://datadriven.tv/tag/sqlsaturdaydublin/ Last, but certainly not least, a huge thank you to all our fans who have made this podcast a success!
Andy reflects on a productive and excellent day at SQL Saturday Dublin.
While at SQL Saturday Dublin, Andy asks the experts: "Where does your area of expertise intersect with Data Science?" There are some thought provoking answers.
Andy talks with Microsoft's Buck Woody about what an Applied Data Scientist does, Power BI, and the rapid pace of innovation in the data space. Recorded live at SQL Saturday Dublin on June 17, 2016.
Andy met up with Joe Keating at SQL Saturday Dublin about simplifying data wrangling, changing the world, and beards.
