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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Andy is out and about with his family today at King's Dominion and he pauses to reflect on how data analytics is used at amusement parks. Links mentioned: https://themeparkanalysis.com/ http://dataconomy.com/2016/06/three-times-big-data-made-amusement-parks-better/ http://www.analyticbridge.datasciencecentral.com/profiles/blogs/amusement-park-analytics-increasing-both-fun-and-roi
Data Science Daily Story links @analyticbridge The Guide to Learning Python for Data Science http://ow.ly/lybf30d83OW @Rbloggers More Companies using R https://wp.me/pMm6L-DH0 #rstats #DataScience @wgryan @kdnuggets What Advice Would You Give Your Younger #DataScientist Self? http://buff.ly/2sGmi0T #DataScience @mattmayo13 @analyticbridge Why and how you should build a data dictionary for big data sets http://ow.ly/l2jc30d83P6 @KirkDBorne 10 types of regressions. Which one to use? http://bit.ly/2bvjcoK #abdsc #BigData #DataScience #MachineLearning #Statistics
Links: Kaggle Titanic data set - https://www.kaggle.com/c/titanic/data (14:20) Sponsor: Audible.com http://audibletrial.com/DataDriven Sponsor: Enterprise Data & Analytics http://entdna.com Notable Quotes: PowerPoint real-time translation (8:00) The Hype Cycle (10:45) On reaching 100% accuracy... (12:30) Advice on how to make the jump from BI to Data Science (25:45) Which to learn first: Python or R? (27:20) Supporting a family as a musician (34:00) Microsoft is Disneyland for geeks (35:15) A moment of silence for Clippy (40:50) On AI's generating art... (49:40)
Data Science Daily @TopCyberNews Replying to @SeverineLienard @TheMisterFavor and 8 others ! @julsimon 'Want to learn to code? Start with #Python' by Serdar Yegulalp http://www.infoworld.com/article/3204016/python/what-is-python.html … #Data #DataScience #DataViz @infoworld @Ronald_vanLoon Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics | #DataScience #Analytics #RT http://bit.ly/2jhcZPw @Ronald_vanLoon 24 Data Science, R, Python, Excel, and Machine Learning Cheat Sheets | #DataScience #MachineLearning #RT http://bit.ly/2mAVd7m @YarmolukDan Why you should invest in #AI talent now #datascience #bigdata #machlinelearing #ML http://buff.ly/2sB7ega Leveling Up in Your Career as a Data Scientist/Engineer http://www.franksworld.com/2017/06/29/leveling-up-in-your-career-as-a-data-scientistengineer/
It's Friday night and Frank's up in the club -- Sam's Club. As it turns out, Wal-Mart, the parent company of Sam's Club, is deep into big data. And by deep I mean *really* deep. To the tune of 40+ petabytes deep. What's more, the Arkansas based retailer, has over 20,000 stores in 28 countries, is currently building the world’s largest private cloud, set to process 2.5 petabytes of data every hour. Let that the enormity of that sink in. Now the plot thickens, Wal-Mart is now telling some technology companies that if they to continue to do business with the retail giant, they can no longer run applications for the retailer on AWS. While the AWS ban doesn't apply to all their suppliers, you have to wonder how long until it does. And, given how savvy Bezos and company are in the lobbying space, will the government step in? News stories mentioned: Wal-Mart to Vendors: Get Off of Amazon's Cloud Really Big Data at Wal-Mart
Data Science Daily Show Notes @dataiku Scrapping selfies on Instagram and analysing them. http://hubs.ly/H07VHdd0 #datascience HT @BananaData @evankirstel #AI Just “Landed” a Boeing 737 for the First Time By Itself http://bigthink.com/robby-berman/ai-just-landed-a-boeing-737-for-the-first-time-by-itself … #aviation #MachineLearning @gp_pulipaka Understanding the A.I. Hype Cycle, in 5 Stats. #BigData #DeepLearning #MachineLearning #DataScience #AI http://buff.ly/2tvNWOi @BigDataGal #DataScience #Sale :: Data Science: Supervised Machine Learning in Python Only $15 thru 07/01 https://www.udemy.com/data-science-supervised-machine-learning-in-python/?siteID=.JDLXjeE.wk-ErbxrC6cDnMgRSBxht6ewQ&LSNPUBID=*JDLXjeE*wk @MikeTamir Facebook releases an #AI #DeepLearning #MachineLearning #DataScience platform for building smarter chatbots http://bit.ly/2sUOPyI
Data Science Daily Show Notes @gp_pulipaka - Computer system predicts products of chemical reactions. #BigData #MachineLearning #DataScience #AI pic.twitter.com/sk8Yz8CUf3 @Ronald_vanLoon - Fine List Of 50 Top World Big Data Experts To Follow In 2017 @Dell @KirkDBorne @Ronald_vanLoon @TamaraMcCleary @Te @kdnuggets - Introduction to Anomaly Detection #MachineLearning @KirkDBorne - The #DeepLearning Age Of Computing Will Fuel Top & Bottom Line Growth: #BigData #DataScience #AI #MachineLearning
One hundred years ago, there were hardly any automobiles. Accordingly, there we no gas stations or car mechanics. Over time, these gas stations evolved to have convenience stores attached to them. No one in 1917 saw that coming. Now, imagine what new business types will evolve over the next one hundred years when the data revolution has played out and made its impact on society.
Data Science Daily Show Notes @fastcompany What If The Data Science “Skills Gap” Is Just A Hiring Hot Mess? One veteran data scientist explains why asking for advanced degrees and X years of experience is creating artificial scarcity. https://www.fastcompany.com/40432834/what-if-the-data-science-skills-gap-is-just-a-hiring-hot-mess @gp_pulipaka Scientists harness 'mind reading' technology to decode complex thought. #BigData #MachineLearning #DataScience #AI http://buff.ly/2tiKlCj @gp_pulipaka Machine Learning and the Language of the #Brain. #BigData #MachineLearning #DataScience #AI #NeuroScience http://buff.ly/2sVgHRj @KirkDBorne Mastering #MachineLearning with #Python in Six Steps (book) http://bit.ly/2ub7QKx #abdsc #BigData #DataScience @gp_pulipaka Computer system predicts products of chemical reactions. #BigData #MachineLearning #DataScience #AI
Here are all the links to stories mention in today's podcast. Data Science Daily Show Notes @jackverr54 #selfDrivingCars Volvo and Autoliv aim to sell self-driving cars with #Nvidia AI tech by 2021 http://tcrn.ch/2th2bX6 via @techcrunch @Ronald_vanLoon Best Big Data, Data Science, Data Mining, and Machine Learning podcasts | #BigData #DataMining #RT http://bit.ly/1InIKHt @carrolltoonz Create a problem-solving infographic to produce shareable & link-worthy content. @NadyaKhoja http://contentmarketinginstitute.com/2017/05/principles-creating-infographics/ @evankirstel Oxford University #AI #startup @diffblueHQ has raised £17M in Series A funding https://www.topbuzz.com/article/i6436215986352816650?app_id=1106 … @MapR_EMEA The Lord of the Things: #Spark or #Hadoop? - http://bit.ly/1PoQj4v by @KirkDBorne #bigdata #datascience Fear and Loathing in Data Science podcast episode
Show Notes In this show, Frank and Andy talk about the state of the show and what we've learned so far. Links: Sponsor: Audible.com - Get a free audio book when you sign up for a free trial! http://audibletrial.com/datadriven Notable Quotes Fear and loathing in Data Science (1:10) Editors! They're everywhere! (3:00) Cancer research and data science and the Lynn Langit show (8:30) Not optimistic about the right thing being done... (13:30) Movie reference: Mr. Smith Goes to Washington (14:45) Television reference: House of cards (14:50) The Donald Farmer show + Blockchain (16:30) Blockchain to verify large data sets (21:20) Yottabytes (25:20) Jen Underwood (26:00) Right-to-left design (29:45) On being a digital immigrant... (32:20) What is a webmaster? (36:00) Movie reference: World War Z (37:15) Data integration is like building a house (41:00) It's not that the data is bad, sometimes it's just not there. (45:30) The architect's cycle... (49:50) Back when we learned statistics, we had a deck of cards and a bag of marbles. (53:30)
In this DataPoint, Andy Leonard sits down with Neil Hambly to chat about data while having tacos and yelling at people who honk their horns. Links: Data Movements Notable Quotes: DBA and data migration services, performance, and security (0:30) Slicing and dicing business data using Power BI (1:30) Using Power BI for licensing cost analysis (2:25) For more information contact Neil: info@datamovements.co.uk Taco City (3:30) "This is the polite side..." (3:45)
Data Science Daily Show Notes First of all, I'd like to thank everyone who attended my talk yesterday and shared it across social media! @AndySugs RT: @SavranWeb Starting with #SQLServer R Services.(Server/Client installations) https://goo.gl/nrqTtN #sql #bigdata #DataScience #dat… @DD_NaNa_ Natural Language Processing with Deep Learning in Python https://goo.gl/xYGQqU #NLP #DeepLearning #Python @kdnuggets Mining Twitter Data with #Python Part 1: Collecting Data #KDN http://ow.ly/bAdx30caI9H @rweekly_live R Weekly 2017-26 Reddit Hug, Paradox #rstats #datascience https://rweekly.org/2017-26.html #BigData: Not Doing Big Data in the Cloud? Better Get There - InformationWeek #DataScience http://buff.ly/2tdwI8l
In this Data Point, Frank speaks shortly after giving his presentation and reflects on how great the Data Intelligence Conference was.
In this Data Point, Andy talks about what has been going on with his European trip as he awaits to board his flight home.
