Sign in with Twitter

Username:

O'Reilly Radar @radar Sebastopol, CA

O'Reilly Media's group blog about emerging technologies. Twitter feed managed by @JennWebb.

395 Following   34,569 Followers   11,017 Tweets

Joined Twitter 6/2/08


How self-service data avoids the dangers of “shadow analytics” https://t.co/zDOmXMLI05 "People want to do their job… https://t.co/MtMZ8adNKeIdeas on interpreting #MachineLearning https://t.co/tL2YG7dCuZ > approaches beyond the usual error measures / asses… https://t.co/62sjl5Xkof#Neuroevolution: A different kind of #DeepLearning https://t.co/vNhPs5LyyH The quest to evolve neural networks thro… https://t.co/6znGfUp7mO
12/8
2017
#MachineLearning at Spotify: You are what you stream https://t.co/RqCPn1Durx > using data to drive digital transfor… https://t.co/0c4GBMBtixWhen two trends fuse: #PyTorch and recommender systems https://t.co/Ok75g0QKgf "flexibility and native #Python inte… https://t.co/atXpK3TP1fHow to set up and run your own Architectural Katas https://t.co/AsnRmwWdbD @neal4d explains the ground rules for bu… https://t.co/zCCfjYTKEE
12/7
2017
Building a natural language processing library for #ApacheSpark https://t.co/6kChD6ujlH @davidtalby on a new #NLP l… https://t.co/c8egqF3UWmAutomated root cause analysis for #Spark application failures https://t.co/h7ydX1Cchb Reduce troubleshooting time f… https://t.co/sMxL1jCXYV
12/1
2017
Ethics at scale https://t.co/Jenhd6qGUK @mikeloukides on the problems of privacy, security, and honesty #Ethicshttps://t.co/p3W3EZbk7S
11/30
2017
Building messaging in #Go network clients https://t.co/yMsF44lFYa "Many useful lessons can be drawn from the NATS p… https://t.co/T8ebr8cxha
11/23
2017
Implementing the pipes and filters pattern using actors in #Akka for #Java https://t.co/QnDhcA515N #Programming https://t.co/kOu25brh0tC++17 upgrades you should be using in your code https://t.co/40GLbwXpaM #programming #coding https://t.co/W5xwhkuHcXThe current state of Apache Kafka https://t.co/A3a90Jq5NX @bigdata chats w/ @nehanarkhede #DataScience https://t.co/YAE0SXAb93
11/22
2017
Neuroevolution: A different kind of #DeepLearning https://t.co/68HFkQpySA The quest to evolve neural networks throu… https://t.co/Qiko5bANHVBecoming an accidental architect https://t.co/3YNUYU1zz0 > How software architects can balance technical proficienc… https://t.co/IreF1h8AzR
11/17
2017
Building a natural language processing library for #ApacheSpark https://t.co/QrWxyE6UMh @bigdata chats w/… https://t.co/5vJo5tchevDeep convolutional generative adversarial networks w/ #TensorFlow https://t.co/VXhKnlbIcm How to build and train a… https://t.co/hT9L6lyrqDIdentifying viral #bots and cyborgs in social media https://t.co/A4vU4c1h5L Analyzing tweets and posts around Trump… https://t.co/s7ftDPQDHX
11/16
2017
Establishing the “why” of your product https://t.co/nXp7d5BcW9 How to craft a winning product roadmap #Designhttps://t.co/Jq7aLq2CzD
11/10
2017
Neuroevolution: A different kind of #DeepLearning https://t.co/nva3hUiH1m "evolve neural networks through evolution… https://t.co/nkd4fV3mcV
11/2
2017
Key considerations for building an #AI platform https://t.co/SN66f4Lu0F The right sol'n works for users *&* busines… https://t.co/Mk9XDRPhWu
10/27
2017
The #cloud native application https://t.co/irvmsswE88 > explores the constantly evolving way applications are built… https://t.co/XGc6mENUHNHow FINRA benefits from a cloud data lake https://t.co/UmFBCcOfHZ "we’ve reduced the friction our data scientists'… https://t.co/dQdr3EwWv4
10/26
2017
Apache Kafka and the four challenges of production #MachineLearning systems https://t.co/ccIbfXkw7B @jaykreps untan… https://t.co/lNKqcZTKBTHow companies can navigate the age of #ML https://t.co/0NuEUCTUbq @bigdata on tools, processes, challenges… https://t.co/9s0P4PdzrrEngineering incremental change https://t.co/7pUYC9Y69U How to design evolvable software #Architecture #Programming https://t.co/NLGpwHZgW1
10/24
2017
Modules vs. microservices https://t.co/pxshOgPLQh @Sander_Mak explores modular application development… https://t.co/rKnCk1Dz68What exactly does a product manager do all day, anyhow? https://t.co/feUr59RUx8 @mattlemay on what unites the work… https://t.co/J7I6xx8UPfA manifesto for Agile data science https://t.co/knzrqivx3u @rjurney on how to think, rather than on what to do… https://t.co/fognBWLgtN
10/23
2017
What if we build the internet we always wanted? https://t.co/unzYn4t0pT @mikeloukides Is it time to start over from… https://t.co/NzNeZEdoOMHow to perform sentiment analysis w/ LSTMs, using #TensorFlow https://t.co/FlyD0Ipvjp #MachineLearning https://t.co/BO7RbZLHdRIntroduction to reinforcement learning & OpenAI Gym w/ @wagonhelm https://t.co/fd3SpEfD3M #AI #MachineLearning https://t.co/KXvhaynfnA
7/13
2017
Missed #OReillyAI in NY this week? Watch keynote highlights https://t.co/ah6WNRVm5f and join us at @TheAIConf in SF Sept 17-20 #AI
Retweeted by O'Reilly Radar
6/30
2017
20 Python libraries you aren't using (but should) https://t.co/XzDZQ9vyYX #Python #Programming https://t.co/rbWCORlEFhBots are a great hammer, but not everything is a nail https://t.co/9kiOt7d8zf #Design context for the #bot revoluti… https://t.co/ocdDf6ihAgBuilding a next-generation platform for #DeepLearning https://t.co/s6vVSsjXZO @NaveenGRao chats w/ @bigdata #AI https://t.co/pFQ2o9dLam
6/29
2017
The evolving role of product management - what it is + why it's relevant https://t.co/WEwaCJIdbo #prodmgmt #design https://t.co/AhTpUnD0enUnderstanding the #blockchain + the new development environment https://t.co/7Gmw7ZZD1j #bitcoin https://t.co/perQrMng5dBuild a super fast deep learning machine for under $1,000 https://t.co/dOnhqVmubN #DeepLearning #AI https://t.co/HMxWOOzzgP
6/27
2017
A scalable time-series database that supports SQL https://t.co/M5TG6yxoH1 @bigdata chats w/ @michaelfreedmanhttps://t.co/FBURkCZ3OUProbabilistic programming from scratch https://t.co/hurFsglpv1 Step-by-step guide to build a simple system… https://t.co/YCaUYWohvzBuild a talking, face-recognizing doorbell for about $100 https://t.co/LTYPlEfEe0 #DeepLearning #AI https://t.co/D3gdqNZGB4
6/23
2017
Algorithmic trading in less than 100 lines of #Python code https://t.co/QvhJ1oexci Get started w/the basics #trading https://t.co/JwXxzNkAmgThe machine learning paradox https://t.co/lZaUkdQyN6 Perfect #MachineLearning doesn't, and won't, exist #ML https://t.co/lhkKJ2JJvyThe evolution of scalable #microservices -- from building microliths to designing reactive #microsystemshttps://t.co/nqemlXpc0Y
6/21
2017
What are machine learning engineers -- and how does this new role differ from data engineers?… https://t.co/bOUWBCAu2qBuild a super fast deep learning machine for under $1,000 https://t.co/G8B5Jss7pl #DeepLearning https://t.co/fuXKFnqqNnGenerative Adversarial Networks - build a neural network that learns to generate handwritten digits… https://t.co/lWdqNB5KLo
6/19
2017
Philosophy, Interactive Simulations, Reproducible Data Science, and Visualizing Connectivity… https://t.co/PwI4FIMw94RT @mikeloukides: Time to start thinking about proxies. Take the power away from the ISPs: https://t.co/6GtqTNFIaMWhy use Scala? https://t.co/kashLKnzFR Get more power from your APIs & see what functional programming can do w/ yo… https://t.co/h4pWxU9ma4Geospatial data & analysis for disaster relief https://t.co/hHMBrOtBmw Tools to respond to crises w/ speed & accura… https://t.co/3Ov314Y71kRT @mikeloukides: An efficient approach to continuous documentation: @precticingdev on O'Reilly Media https://t.co/LOvkQSUunhNatural language analysis using Hierarchical Temporal Memory https://t.co/i5rm7xYl26 @cortical_io Francisco Webber… https://t.co/Iz95mKfNAu
3/24
2017
Face Scanners, Formal Specifications, Simulated NYC, & Open Source Motorbike https://t.co/ZE3jCoq7Af Links via @gnat https://t.co/zkg7WU1NwjHow does Google's driverless car work? https://t.co/2ujUtgpHTT @mattdcoatney explains how modern DL has advanced au… https://t.co/rJalCCI4CzDrawing a map of distributed data systems https://t.co/wg6Wonhlk4 @martinkl on his illustrated guide through the da… https://t.co/8TXzYYRvu5Ideas on interpreting machine learning https://t.co/ivsQxwfor1 @jpatrickhall on mix-and-match approaches https://t.co/cirZXstsI4Is it possible to imagine an AI that can compute ethics? https://t.co/tllaLjEPyS @mikeloukides on computational eth… https://t.co/KhjSrPUGdF
3/21
2017
Geriatric Javascript, AI Discrimination, Weaponizing AI, and Math for CS https://t.co/7GusJ9kJKG Must-read links vi… https://t.co/uCBx0my948Monitoring a production-ready microservice https://t.co/RrkvIQnlz3 @susanthesquark w/ essential components, princip… https://t.co/dzBvT4SiGBRT @mikeloukides: How not to hire your first data scientist https://t.co/i2srQ7m1oVThe coming tipping point in data-driven logistics https://t.co/TCct7Ey84V Experts weigh in on the future of transpo… https://t.co/9O5uVfiNXnRT @techreview: Gene therapy is moving quickly from experiment to medical reality. https://t.co/LNpMIUTEe3Insights on scaling and integrating databases > https://t.co/32LlvYY9pg's Greg Meddles brings order to chaos… https://t.co/baiVbVXnmZ
3/8
2017
RT @ezraklein: This Kenyan village is a laboratory for the biggest basic income experiment ever: https://t.co/qDRu3PIOhWContainer Paperwork, Security 101, HR Advice, & Claude Shannon https://t.co/SwoUVbjHMN Links via @gnat https://t.co/hdL6qSiPjhRT @WIRED: Artificial intelligence has officially reached the field of astronomy https://t.co/bvhKtdHJZwMaking security understandable for everyone > @jessysaurusrex on communicating + gang of grannies hack back… https://t.co/yNUOVxn2VXRT @BoingBoing: How to practice anything effectively https://t.co/uW66KQi26UData governance: What you need to know https://t.co/iYu73FYYPi "an effective corporate data program needs data gove… https://t.co/19He95x0NfRT @backchnnl: Civilians need better protections when it comes to cyberwar. https://t.co/u6Y4xbYxsuAre tablets the new laptops? Not yet. https://t.co/loeg0RJhLe "It makes no sense at all for programming to be stuck… https://t.co/SwROZpsMP5
3/6
2017
PaddlePaddle, Product Development, IoT Toy Leak, and Hacker News Mocked https://t.co/Qmb8FKuw47 Links via @gnat https://t.co/2m3qaOG1KKInside the Washington Post’s popularity prediction experiment https://t.co/ES8vZATmtc A behind-the-scenes look at t… https://t.co/UxyzPXjBuFFlash flood prediction using machine learning > "we're now bringing it to East Africa" https://t.co/kRcLyOuVcP https://t.co/snIvRwgEk5How to implement the state architectural pattern https://t.co/0HJa3OL4uJ @allenholub explains https://t.co/R0j6tg9il2Building C# objects dynamically https://t.co/25HZOeC7XY > using ExpandoObject (from C# 6.0 Cookbook) https://t.co/Z7CeaBJDFsFake Markets, Evil Growth, Robo Doom, and Secure Remote Passwords https://t.co/NoafMJnyK7 Links via @gnat https://t.co/PazuSY3kAI
3/1
2017

0