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The Google Cloud Platform Podcast, coming to you every week. Discussing everything on Google Cloud Platform from App Engine to Big Query.
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Confluent and Kafka with Viktor Gamov
Viktor Gamov is on the podcast today to discuss Confluent and Kafka with Mark and special first-time guest host, Michelle. Viktor spends time with Mark and Melanie explaining how Kafka allows you to stream and process data in real-time, and how Kafka helps Confluent with its advanced streaming capabilities. Confluent Cloud helps connect Confluent and cloud platforms such as Google Cloud so customers don’t have to manage anything - Confluent takes care of it for you!To wrap up the show, Michelle answers our question of the week about Next 2019.Viktor GamovViktor Gamov is a Developer Advocate at Confluent, the company that makes a streaming platform based on Apache Kafka.Working in the field, Viktor developed comprehensive expertise in building enterprise application architectures using open source technologies. He enjoys helping different organizations design and develop low latency, scalable, and highly available distributed systems.Back in his consultancy days, he co-authored O’Reilly’s «Enterprise Web Development».He is a professional conference speaker on distributed systems, Java, and JavaScript topics, and is a regular at events, including JavaOne, Devoxx, OSCON, QCon, and others. He blogs and produces the podcasts Razbor Poletov (in Russian) and co-hosts DevRelRad.io.Follow Viktor on Twitter, where he posts about gym life, food, open source, and, of course, Kafka and Confluent!Cool things of the weekKubeflow published a leadership guide to inclusivity sitePicture what the cloud can do: How the New York Times is using Google Cloud to find untold stories in millions of archived photos blogClick-to-deploy on Kubeflow siteContainerd available for beta testing in Google Kubernetes Engine blogIntroducing AI Hub and Kubeflow Pipelines: Making AI simpler, faster, and more useful for businesses blogAnnouncing Cloud Scheduler: a modern, managed cron service for automated batch jobs blogInterviewKafka siteKafka Connect siteKafka Streams siteKSQL siteConfluent siteConfluent Hub siteConfluent Schema Registry siteConfluent Cloud on Google Cloud Marketplace siteConfluent Enterprise siteConfluent Cloud siteConfluent on Github siteConfluent Blog blogHow to choose the number of topics/partitions in a Kafka cluster? blogPublishing with Apache Kafka at The New York Times blogGoogle Cloud Platform and Confluent partner to deliver a managed Apache Kafka service blogViktor’s Presentations siteConfluent Community siteQuestion of the weekIf I wanted to submit a CFP for Next 2019, how would I do it?Where can you find us next?Mark and Michelle will be at KubeCon in December.Michelle will be at Scale by the Bay on Friday. She’ll also be at YOW! Sydney, Brisbane, & Melbourne in Nov & December.
G Suite with Joanna Smith and Alicia Williams
Joanna Smith and Alicia Williams talk G Suite with Mark and Melanie this week! G Suite is Google’s collection of apps to help make working easier. It includes things like Gmail, Docs, Sheets, Calendar, and more and is designed to be collaborative. It’s customizable, allowing users to adjust the programs to their needs and be more effective – including integrating it with Google Cloud! G Suite has an active community of developers building add-ons to increase functionality as well.Joanna SmithJoanna is a Developer Advocate for G Suite, working to make sure that anyone can extend G Suite with clever solutions to make Google work for them.Alicia WilliamsAlicia is an advocate for Google Cloud, trying to help data analysts solve problems. She uses machine learning, SQL, and visualizations to help solve problems and tell stories.Cool things of the weekA dataset of congressional bills and built a text classification model with AutoML Natural Language by Sara Robinson tweet and blogServerless from the ground up: Connecting Cloud Functions with a database (Part 3) blogHow 20th Century Fox uses ML to predict a movie audience blogKick off developer projects with improved G Suite Developer Hub blogThis multiplayer game integrates Open Match, a highly-scalable, open source matchmaking framework from Google Cloud, Unity tweet, and Google DoodleHappy Anniversary, Melanie!InterviewG Suite siteGoogle Sheets siteG Suite on Google Plus siteG Suite Marketplace siteG Suite on Github siteG Suite APIs siteG Suite App Maker siteBuilding IoT Applications on Google Cloud videoFirestore Google Apps Script Library siteBuild on G Suite siteAdvanced Services Documentation siteBigQuery siteNew Google Sheets enterprise data integrations with BigQuery and SAP blogAnalyze big data within Google Sheets siteAnalyzing text in a Google Sheet using Cloud Natural Language API and Apps Script blogEntity sentiment analysis on text data in a Google sheet using Cloud Natural Language Github siteQuestion of the weekWhat if I want to write a code sample with a link that opens the Cloud Console and automatically clones a Git repository into Cloud Shell?Where can you find us next?Alicia will be at DevFest.Mark will be at KubeCon in December.Melanie will be at SOCML this month.

Bazel with Tony Aiuto

2018-10-3100:30:45

AI Corporations and Communities in Africa with Karim Beguir & Muthoni Wanyoike
On the podcast today, we have two more fascinating interviews from Melanie’s time at Deep Learning Indaba! Mark helps host this episode as we speak with Karim Beguir and Muthoni Wanyoike about their company, Instadeep, the wonderful Indaba conference, and the growing AI community in Africa.Instadeep helps large enterprises understand how AI can benefit them. Karim stresses that it is possible to build advanced AI and machine learning programs in Africa because of the growing community of passionate developers and mentors for the new generation. Muthoni tells us about Nairobi Women in Machine Learning and Data Science, a community she is heavily involved with in Nairobi. The group runs workshops and classes for AI developers and encourages volunteers to participate by sharing their knowledge and skills.Karim BeguirKarim Beguir helps companies get a grip on the latest AI advancements and how to implement them. A graduate of France’s Ecole Polytechnique and former Program Fellow at NYU’s Courant Institute, Karim has a passion for teaching and using applied mathematics. This led him to co-found InstaDeep, an AI startup that was nominated at the MWC17 for the Top 20 global startup list made by PCMAG. Karim uses TensorFlow to develop Deep Learning and Reinforcement Learning products. Karim is also the founder of the TensorFlow Tunis Meetup. He regularly organises educational events and workshops to share his experience with the community. Karim is on a mission to democratize AI and make it accessible to a wide audience.Muthoni WanyoikeMuthoni Wanyoike is the team lead at Instadeep in Kenya. She is Passionate about bridging the skills gap in AI in Africa and does this by co-organizing the Nairobi Women in Machine Learning community. The community enables learning, mentorship, networking, and job opportunities for people interested in working in AI. She is experienced in research, data analytics, community and project management, and community growth hacking.Cool things of the weekIs there life on other planets? Google Cloud is working with NASA’s Frontier Development Lab to find out blogIn this Codelab, you will learn about StarCraft II Learning Environment project and to train your first Deep Reinforcement Learning agent. You will also get familiar some of the concepts and frameworks to get to train a machine learning agent. siteA new course to teach people about fairness in ML blogServerless from the ground up: Building a simple microservice with Cloud Functions (Part 1) blogSuperposition Podcast from Deep Learning Indaba with Omoju Miller and Nando de Freitas tweet and videoInterviewInstadeep siteNairobi Women in Machine Learning and Data Science siteNeural Information Processing Systems siteGoogle Launchpad Accelerator siteTensorFlow siteGoogle Assistant siteCloud AutoML siteHackathon Lagos siteDeep Learning Book bookRanked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization research paperLessons learned on building a tech community blogKenya Open Data Initiative siteR for Data Science GitHub site and bookTWIML Presents Deep Learning Indaba siteQuestion of the weekIf I want to create a GKE cluster with a specific major kubernetes version (or even just the latest) using the command line tools, how do I do that?GCloud container clusters create siteSpecifying cluster version siteWhere can you find us next?Our guests will be at Indaba 2019 in Kenya.Mark will be at KubeCon in December.Melanie will be at SOCML in November.
Java & Jib with Patrick Flynn and Mike Eltsufin
Mark and Melanie speak with Patrick Flynn and Mike Eltsufin about their exciting new Java products for Google Cloud. Mike tells us all about the new Spring Cloud GCP, a helpful tool that integrates Google Cloud Platform APIs and the Spring Framework. Patrick elaborates on his team’s new tool, Jib, a Java container image builder, and how it helps Java developers.Patrick FlynnPatrick Flynn is a long time Java developer who spent many years in Google Ads, and is now four years into being the tech lead of the Google Cloud Java Tools team.Mike EltsufinMike Eltsufin has been an enterprise Java application developer in the banking sector for over a decade before joining Google. Currently, he’s the tech lead of the Cloud Java Frameworks team, focusing on bringing the goodness of Spring Boot to Google Cloud Java developers.Cool things of the weekIntroducing container-native load balancing on Google Kubernetes Engine blogSimplifying cloud networking for enterprises: announcing Cloud NAT and more blogStore it, analyze it, back it up: Cloud Storage updates bring new replication options blogPostmortems and Retrospectives with Liz and Seth videoGCP Podcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcastInterviewApp Engine siteKubernetes Engine siteSpring Framework siteSpring Boot siteSpring Cloud GCP siteSpring Cloud GCP on GitHub siteCloud Pub/Sub siteSpanner siteCloud Sql siteCloud Datastore siteDocker siteJib on GitHub siteCloud Tools for IntelliJ Documentation siteIntroducing Jib — build Java Docker images better blogBazel siteSkaffold on GitHub siteNetty siteSpringOne siteKnative and riff for Spring Developers videoJib Gitter siteSig Apps siteKubernetes Slack siteCodelabs siteQuestion of the weekWhat if we have an object in Google Cloud Storage, and I want to automatically change an aspect of it – such as:Downgrade the storage class of objects older than 365 days to Coldline Storage.Delete objects created before January 1, 2013.Keep only the 3 most recent versions of each object in a bucket with versioning enabled.Managing Object Lifecycles docs and guideWhere can you find us next?Patrick’s team will be at KubeCon Shanghai and Oracle Code One and he will be at KubeCon SeattleMark will be at KubeCon in December.Melanie will be at Twilio Signal $BASH event on Thursday and SOCML in November.
Strange Loop, Remote Working, & Distributed Systems with KF
Melanie and Mark celebrate their 150th episode this week with a high-energy interview of mutual friend, KF, at Strange Loop. KF gives her perspective on Strange Loop, working remotely, and distributed systems. She compliments Strange Loop for the diversity it has achieved as the conference has grown. She laments the lack of introductory material for distributed systems learners, saying it’s not as complicated as everyone thinks but needs more educational material for beginners! In general, she believes everyone could benefit from some code study, especially if you can find a good mentor. KF also gives us some great tips for working remotely and staying effective and social.Katherine FellowsKF is a senior engineer focusing on backend, infrastructure, and data engineering. She has worked remotely for companies at all stages of growth in San Francisco, New York City, Portland, and Philadelphia. Most recently, she’s been a Senior Software Engineer at Turbine Labs, developing tools that leverage a service mesh to make collaboration more effective for engineering teams. KF currently lives with her cat in Portland, OR.Cool things of the weekIntroducing PyTorch across Google Cloud blogIs that a device driver, golf driver, or taxi driver? Building custom translation models with AutoML Translate blogA developer onramp to Kubernetes with GKE blogNetwork controls in GCP vs. on-premises: Not so different after all blogInterviewStrange Loop siteKubernetes siteDocker siteSRE siteGCP Podcast Episode 102: Smart Parking and IoT Core with Brian Granatir podcastQuestion of the weekHow do I encrypt and decrypt data with Cloud KMS?Symetric and AsymetricWhere can you find us next?Mark will definitely be at Kubecon in December.Mark streams on Twitch streaming.Melanie will be at CAMLIS.Get in touch!WebsiteEmail us!Ask us a questionRedditGoogle PlusTwitter
Deep Learning Research in Africa with Yabebal Fantaye & Jessica Phalafala
Today, Melanie brings you another great interview from her time at Deep Learning Indaba in South Africa. She was joined by Yabebal Fantaye and Jessica Phalafala for an in-depth look at the deep learning research that’s going on in the continent.At the African Institute for Mathematical Sciences, the aim is to gather together minds from all over Africa and the world to not only learn but to use their distinct perspectives to contribute to research that furthers the sciences. Our guests are both part of this initiative, using their specialized skills to expand the abilities of the group and stretch the boundaries of machine learning, mathematics, and other sciences.Yabebal elaborates on the importance of AIMS and Deep Learning Indaba, noting that the more people can connect with each other, the more confidence they will gain. Jessica points out how this research in Africa can do more than just advance science. By focusing on African problems and solutions, machine learning research can help increase the GDP and economic standards of a continent thought to be “behind”.Jessica PhalafalaJessica Phalafala is a PhD Applied Mathematics student at Stellenbosch University and currently affiliated with the African Institute for Mathematical Sciences. In her mid-twenties, she finds herself with four qualifications all obtained with distinction, including a Master of Science in Pure Mathematics degree from the University of the Witwatersrand. Jessica is interested in using her functional analysis background together with a number of newly developed skills to contribute towards developing rigorous mathematical theory to support some existing deep learning methods and algorithms for her PhD research. Outside of research she takes great interest in fast-tracking the level of accessibility of higher education in South Africa as co-founder of the Sego Sa Lesedi Foundation, a platform created to inform underprivileged high school learners of career and funding opportunities in science as well as provide them with mentorship as they transition into undergraduate studies.Yabebal FantayeDr. Fantaye is an AIMS-ARETE Research Chair based in South Africa. His research is in applying artificial intelligence and advanced statistical methods to cosmological data sets in order to understand the nature of the universe and to satellite images of the Earth in order to find alternative ways to monitor African development progress. Dr. Fantaye is a fellow of the World Economic Forum Young Scientists community, and a fellow and a Chair of the Next Einstein Forum Community of Scientists.Cool things of the weekA Kubernetes FAQ for the C-suite blogBigQuery and surrogate keys: a practical approach blogAdding custom intelligence to Gmail with serverless on GCP blogAnnouncing Cloud Tasks, a task queue service for App Engine flex and second generation runtimes blogUnity and DeepMind partner to advance AI research blogInterviewAfrican Institute for Mathematical Sciences siteProvable approximation properties for deep neural networks researchNext Einstein Initiative siteSquare Kilometer Array (SKA) siteUniversity of the Witwatersrand siteCouncil of Scientific and Industrial Research (CSIR) siteSouth African National Space Agency (SANSA) siteNational Astrophysics and Space Science Programme (NASSP)siteIndabaX siteCoursera siteAndrej Karpathy researchAndrej Karpathy Blog blogQuestion of the weekIf I’m using the Cluster Autoscaler for Kubernetes (or GKE), how can I prevent it from removing specific nodes from the cluster when scaling down?How can I prevent Cluster Autoscaler from scaling down a particular node? githubWhat types of pods can prevent CA from removing a node? githubWhere can you find us next?Mark will definitely be at Kubecon in December and will probably be at Unite L.A. this month.Melanie is speaking at Monktoberfest Oct 4th in Portland, Maine and will be at CAMLIS the following week.
Wellio with Sivan Aldor-Noiman and Erik Andrejko
In our last (but not least!) interview from NEXT, Mark and Melanie talked with Sivan Aldor-Noiman and Erik Andrejko about Wellio, an awesome new platform that combines AI and healthy eating. Wellio was developed as a way to not only educate users on the importance of proper nutrition for well-being but to give them their own personal nutritionist.The data scientists at Wellio started from scratch (pun intended) to create their own food-related database and then began training models so the data could be organized and personalized. Using a combination of human power and machine learning techniques, Wellio learns your preferences, allergies, diets, etc. and will make healthy decisions for you based on these key facts. It chooses recipes, populates a grocery list, and even has the ingredients delivered to your door in time for dinner!Sivan Aldor-NoimanSivan heads Data Science for Wellio, an early stage startup in the FoodTech space that is helping people eat better. In Wellio, her team delivers models that help inspire, empower and adapt to people’s eating needs, cooking abilities and health constraints. She began her career in the Israeli military serving as an instructor for an anti-tank missile unit (please don’t think Rambo, think more like a classroom teacher). Sivan then transitioned to school and received her undergraduate degree in Industrial Engineering and a Master in Statistics from the Technion, Israel Institute of Technology. She moved to the U.S. to complete a Ph.D. degree in Statistics from The Wharton School, University of Pennsylvania. In her previous job, Sivan ended up leading several Data Science teams and learned that she really liked leading technical people since she got to learn a lot from them. Ultimately, she missed the smaller company mentality, so she is back in the startup world.Sivan was once asked to define herself so here goes: “I am an enthusiastic disagreeable giver and a constant empirical driven learner”.Erik AndrejkoErik has spent his career making a positive impact on the world through mathematics. He is a co-founder and Chief Technology Officer of Wellio - an early stage startup applying AI to the intersection of food and human health. Previously, Erik lead the data science and research organization at The Climate Corporation, which applies data science to solve challenging problems in numerous domains including climatology, agronomic modeling and geospatial applications.When not analyzing interesting datasets, Erik can often be found riding up some incline on a bicycle or cooking.Cool things of the weekSummary of Google Cloud Next Tokyo siteDeep Learning Indaba GCP Credit Awards siteData Studio and Dataprep are now generally available blogDS: BI analyze more than 500 other data sources via more than 100 partner-built connectors and used by over a million people globallyDP: new look, team collab and more analytics features blogAnnouncing general availability of Cloud Memorystore for Redis blogCoursera Advanced Machine Learning with TensorFlow with GCP blogWebinar on October 9th at 9AM PST to learn moreSimplifying ML predictions with Google Cloud Functions blog50 Best Cloud Security Podcasts siteGCP Podcast Episode #100: Vint Cerf: past, present, and future of the internet podcastInterviewWellio siteGKE siteCloud Storage sitePub/Sub siteCloud Composer siteCloud ML Engine siteStackdriver siteCloud Functions siteTensorFlow siteKeras siteScikit Learn siteCloud TPU siteCloud AutoML siteCloud Vision siteDevOps201 for Application Developers videoCloud Firestore siteDay 3 Keynote: Made Here Together videoSpinnaker siteContact Wellio emailQuestions of the weekIs Inbox going away?Inbox is signing off: find your favorite features in the new Gmail blog5 ways the new Gmail can help you get more done blogWhere can you find us next?We’ll both be at Strangeloop.Mark will probably be at Unite L.A. in October.Melanie speaking at Monktoberfest Oct 4th in Portland, Maine.
DL Indaba: AI Investments in Africa
This week we are bringing you a couple of interviews from last week’s Deep Learning Indaba conference. Dr. Vukosi Marivate, Andrea Bohmert and Yasin(i) Musa Ayami talk about the burgeoning machine learning community, research, companies and AI investment landscape in Africa. While Mark is at Google Cloud Next in Tokyo, Melanie is joined by special guest co-hosts Nyalleng Moorosi and Willie Brink.Vukosi and Yasin(i) share how Deep Learning Indaba is playing an important role to recognize and grow machine learning research and companies on the African continent. We also discuss Yasin(i)’s prototyped app, Tukuka, and how it won the Maathai Award which is given to individuals who are a positive force for change. Tukuka is being built to aid economically disadvantaged women in Zambia get access to financial resources that are currently unavailable. Andrea rounds up the interviews by giving us a VC perspective on the AI start-up landscape in Africa and how that compares to other parts of the world. As Nyalleng says at the end, AI is happening in Africa and has great potential for impact.Willie BrinkWillie Brink is a senior lecturer of Applied Mathematics in the Department of Mathematical Sciences at Stellenbosch University, South Africa. He teaches various courses in Applied Mathematics and Computer Science, at all levels, and his research interests fall mainly in the broad fields of computer vision and machine learning. He has worked on multi-view geometry, visual odometry, recognition and tracking, probabilistic graphical models, as well as deep learning. Recent research directions include visual knowledge representation and reasoning. Willie is also one of the founders and organisers of the Deep Learning Indaba, an exciting initiative working to celebrate and strengthen machine learning and artificial intelligence research in Africa, and to promote diversity and transformation in these fields.Nyalleng MoorosiNyalleng is a Software Engineer and Researcher with the Google AI team in Ghana. Before joining Google, Nyalleng was a senior Data Science researcher at South Africa’s national science lab, Council for Scientific and Industrial Research (CSIR), with the Modeling and Digital Sciences Unit. In her capacity at CSIR, she works on projects ranging from: rhino poaching prevention with park rangers, working with news outlets to understand social media sentiments, and searching for Biomarkers in African cancer proteomes. Before getting into ML research at CSIR, she was a computer science lecturer at Fort Hare University and a software engineer at Thomson Reuters. Moorosi is an active member of Women in Machine Learning, Black in Artificial Intelligence, and an organising member of the Deep Learning Indaba - a yearly workshop that gathers African researchers in one space to share ideas and grow machine learning and artificial intelligence capabilities.Dr. Vukosi MarivateDr. Vukosi Marivate holds a PhD in Computer Science (Rutgers University) and MSc & BSc in Electrical Engineering (Wits University). He has recently started at the University of Pretoria as the ABSA Chair of Data Science. Vukosi works on developing Machine Learning/Artificial Intelligence methods to extract insights from data. A large part of his work over the last few years has been in the intersection of Machine Learning and Natural Language Processing (due to the abundance of text data and need to extract insights). As part of his vision for the ABSA Data Science chair, Vukosi is interested in Data Science for Social Impact, using local challenges as a springboard for research. In this area Vukosi has worked on projects in science, energy, public safety and utilities. Vukosi is an organizer of the Deep Learning Indaba, the largest Machine Learning/Artificial Intelligence workshop on the African continent, aiming to strengthen African Machine Learning. He is passionate about developing young talent, supervising MSc and PhD students, and mentoring budding Data Scientists.Yasin(i) Musa AyamiYasin(i) Musa Ayami is Team Lead at TsogoloTech and a certified Oracle Associate. Mr. Ayami recently graduated with a Master’s Degree in Information Technology at the prestigious Durban University of Technology (DUT) were his study mainly focused on Computer Vision and Machine Learning. Prior to him enrolling for his Master’s Degree, Mr Ayami served as an Intern Software Engineer at DUT’s App Factory where he also served as Team Lead before deciding to further his studies. He also worked as a Part-Time Student Instructor at the DUT. In 2017, he co-founded TsogoloTech. His vision has always been to leverage technology for social good.Andrea BohmertAndrea Bohmert is a Co-Managing Partner at Knife Capital. Before joining Knife Capital, she was the Founder and Co-Managing Partner of Hasso Plattner Ventures Africa. Passionate about strategizing how to scale businesses and meeting the entrepreneurs responsible for creating them, she has been actively involved in numerous initiatives aiming to accelerate the African entrepreneurial ecosystem.What are you looking forward to this week?AlphaGo Movie siteWiML: Women in Machine Learning siteDeep Learning Indaba Poster Sessions siteNeural Information Processing Systems siteInterviewDeep Learning Indaba siteDeep Learning Indaba GitHub siteDeep Learning Indaba Tutorials siteDeep Learning Indaba 2018 Slides siteDeep Learning Indaba 2017 Presentations videosDeep Learning Indaba X siteYasin(i) Musa Ayami on GitHub site and LinkedIn siteDeep Learning Indaba Award Winners site and tweetMaathai Award siteXamarin siteSuperPosition at The Deep Learning Indaba with Dr. Vukosi Marivate podcastKnife Capital siteInvesting in AI by Andrea Bohmert article10 Defining Moments that shaped the 2016 SA startup ecosystem articleData Science Africa siteInternational Data Week siteGoogle Cloud Platform Credits award winners tweetQuestion of the weekThe co-hosts weigh in on our question of the week: What have you taken away from this week and will take forward?Where can you find us next?Mark and Melanie will be at Strangeloop.Willie will be teaching Machine Learning at Stellenbosch University this summer.Nyalleng will be at the Women in Machine Learning Workshop and the Neural Information Processing Systems Conference in Montreal in December.
Google AI with Jeff Dean
Jeff Dean, the lead of Google AI, is on the podcast this week to talk with Melanie and Mark about AI and machine learning research, his upcoming talk at Deep Learning Indaba and his educational pursuit of parallel processing and computer systems was how his career path got him into AI. We covered topics from his team’s work with TPUs and TensorFlow, the impact computer vision and speech recognition is having on AI advancements and how simulations are being used to help advance science in areas like quantum chemistry. We also discussed his passion for the development of AI talent in the content of Africa and the opening of Google AI Ghana. It’s a full episode where we cover a lot of ground. One piece of advice he left us with, “the way to do interesting things is to partner with people who know things you don’t.”Listen for the end of the podcast where our colleague, Gabe Weiss, helps us answer the question of the week about how to get data from IoT core to display in real time on a web front end.Jeff DeanJeff Dean joined Google in 1999 and is currently a Google Senior Fellow, leading Google AI and related research efforts. His teams are working on systems for speech recognition, computer vision, language understanding, and various other machine learning tasks. He has co-designed/implemented many generations of Google’s crawling, indexing, and query serving systems, and co-designed/implemented major pieces of Google’s initial advertising and AdSense for Content systems. He is also a co-designer and co-implementor of Google’s distributed computing infrastructure, including the MapReduce, BigTable and Spanner systems, protocol buffers, the open-source TensorFlow system for machine learning, and a variety of internal and external libraries and developer tools.Jeff received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on whole-program optimization techniques for object-oriented languages. He received a B.S. in computer science & economics from the University of Minnesota in 1990. He is a member of the National Academy of Engineering, and of the American Academy of Arts and Sciences, a Fellow of the Association for Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Sciences (AAAS), and a winner of the ACM Prize in Computing.Cool things of the weekGoogle Dataset Search is in beta siteExpanding our Public Datasets for geospatial and ML-based analytics blogZip Code Tabulation Area (ZCTA) siteGoogle AI and Kaggle Inclusive Images Challenge siteWe are rated in the top 100 technology podcasts on iTunes siteWhat makes TPUs fine-tuned for deep learning? blogInterviewJeff Dean on Google AI profileDeep Learning Indaba siteGoogle AI siteGoogle AI in Ghana blogGoogle Brain siteGoogle Cloud siteDeepMind siteCloud TPU siteGoogle I/O Effective ML with Cloud TPUs videoLiquid cooling system articleDAWNBench Results siteWaymo (Alphabet’s Autonomous Car) siteDeepMind AlphaGo siteOpen AI Dota 2 blogMoustapha Cisse profileSanjay Ghemawat profileNeural Information Processing Systems Conference sitePrevious PodcastsGCP Podcast Episode 117: Cloud AI with Dr. Fei-Fei Li podcastGCP Podcast Episode 136: Robotics, Navigation, and Reinforcement Learning with Raia Hadsell podcastTWiML & AI Systems and Software for ML at Scale with Jeff Dean podcastAdditional ResourcesarXiv.org siteChris Olah blogDistill Journal siteGoogle’s Machine Learning Crash Course siteDeep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville book and siteNAE Grand Challenges for Engineering siteSenior Thesis Parallel Implementations of Neural Network Training: Two Back-Propagation Approaches by Jeff Dean paper and tweetMachine Learning for Systems and Systems for Machine Learning slidesQuestion of the weekHow do I get data from IoT core to display in real time on a web front end?Building IoT Applications on Google Cloud videoMQTT siteCloud Pub/Sub siteCloud Functions siteCloud Firestore siteWhere can you find us next?Melanie is at Deep Learning Indaba and Mark is at Tokyo NEXT. We’ll both be at Strangeloop end of the month.Gabe will be at Cloud Next London and the IoT World Congress.

Google AI with Jeff Dean

2018-09-1200:44:152

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