I dont like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence) OReilly 2026-09-18 | I dont like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)
OReilly Interactive Learning OReilly 2023-10-24 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
OReilly Learning Platform OReilly 2023-10-03 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
What is the relationship between social influence and the NBA? - Noah Gift (UC Davis) OReilly 2022-05-17 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Nutrition Data Science - Noah Gift (UC Davis) & Michelle Davenport (Quantitative Nutrition) OReilly 2022-05-13 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Fall 2021 Architectural Katas - Finalists and Winners OReilly 2021-12-10 | Learn how to successfully present software architecture plans to developers and stakeholders. Find out the top teams and winners in this video.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Happy Holidays from OReilly OReilly 2021-12-09 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Ask the Author: Sam Newman OReilly 2021-10-11 | Find Sam Newman's new book "Building Microservices, 2E" available on http://OReilly.com & wherever you buy books: oreil.ly/eEzqqSubscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Kubernetes in Three Weeks with Jonathan Johnson OReilly 2021-07-27 | Starts August 11. Sign in or sign up oreil.ly/zXUc3Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Happy Holidays from OReilly OReilly 2020-12-09 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
TensorFlow World 2020 OReilly 2020-03-13 | Call for 2020 speakers open—learn more at http://tensorflow.worldSubscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
OReilly Open Source Conference (OSCON) 2020 OReilly 2020-03-11 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
From the trenches: Rachel Laycock - Rachel Laycock (ThoughtWorks) OReilly 2020-03-05 | Login to O'Reilly Online Learning to watch the full keynote: learning.oreilly.com/videos/oreilly-software-architecture/0636920333777 Rachel Laycock (ThoughtWorks), Neal Ford (ThoughtWorks) In this ongoing series, Neal Ford interviews highly regarded industry professionals about their career path and their work as an architect. Join us for his discussion with Rachel Laycock.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Software development in the mission-critical cloud era - Hillery Hunter (IBM) OReilly 2020-03-04 | Login to O'Reilly Online Learning to watch more from this conference: learning.oreilly.com/videos/oreilly-software-architecture/0636920333777 As the use of cloud expands from initial use cases to broader consumption, new interdisciplinary interlock across software development, cloud architecture, and data architecture are required. In this keynote, we’ll touch on key pain points of this inter-disciplinary era and look at the view of holistic cloud architecture and development.This keynote is sponsored by IBM.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Intellectual control- George Fairbanks (Google) OReilly 2020-03-03 | Login to O'Reilly Online Learning to watch the full keynote: learning.oreilly.com/videos/oreilly-software-architecture/0636920333777 In the early days of software engineering, Edsger Dijkstra warned us not to let the size and complexity of our programs cause us to lose “intellectual control” due to the limited nature of our minds. To George Fairbanks’s knowledge, Dijkstra never defined precisely what intellectual control was. Our software today is staggeringly larger than the programs of the 1960s, so does that mean we have it under our intellectual control or did we find ways to make progress without Dijkstra’s high standards?Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Where do great architectures come from? Mary Poppendieck (Lean Software Development Series) OReilly 2020-03-02 | Login to O'Reilly Online Learning to watch the full keynote: learning.oreilly.com/videos/oreilly-software-architecture/0636920333777 Every 15 years or so, the common wisdom about the best architecture in the software world changes. Mary Poppendieck walks you through a few of the more dramatic architectural changes, looking at what triggered them and how well they worked out.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Whats new at OReilly Strata & AI Conference 2020 (San Jose, CA) OReilly 2020-03-02 | Learn more at http://oreilly.com/strata/caSubscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Sometimes I draw- Kai Holnes (ThoughtWorks) OReilly 2020-03-02 | Login to O'Reilly Online Learning to watch the full keynote: learning.oreilly.com/videos/oreilly-software-architecture/0636920333777 Being a developer in today’s world means living and breathing technology whether it’s designing new systems or critiquing the design of your doctor’s scheduling web app (if they have one, that is). In the few moments in between, there isn’t time for much else.Sometimes Kai Holnes draws; sometimes she writes. You’ll journey through the nebulous world of creative outlets and why maybe, just maybe, that journey is worth it.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
The elephant in the architecture- Martin Fowler (ThoughtWorks) OReilly 2020-02-29 | Login to O'Reilly Online Learning to watch the full keynote: learning.oreilly.com/videos/oreilly-software-architecture/0636920333777 In the many architectural assessments Martin Fowler’s colleagues do in enterprises throughout the world, they commonly find one widely neglected architectural attribute. He doesn’t claim that its identity will shock you, but it does fuel his venting.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Architecture.Next: Invalidating old axioms Mark Richards (Self-employed) OReilly 2020-02-28 | Login to O'Reilly Online Learning to watch the full keynote: learning.oreilly.com/videos/oreilly-software-architecture/0636920333777Software architecture has always been full of axioms—rules for creating solutions for business problems. However, in today’s fast-paced world full of change, software architecture is in a constant state of dynamic equilibrium, consequently invalidating many of the axioms software architects live by. Mark Richards challenges some of the tried-and-true axioms in software architecture and shows you how to manage the ever-changing state of software architecture.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Whats new at OReilly Strata & AI Conference 2020 (San Jose, CA) OReilly 2020-02-18 | Learn more at http://oreilly.com/strata/ca Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
O’Reilly Infrastructure & Ops Conference 2020 OReilly 2020-02-10 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
OReilly Software Architecture Conference 2020 - Santa Clara, CA OReilly 2020-02-07 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Derive Value from Analytics and AI at Scale (sponsored by Intel) - 马子雅 (Ziya Ma) (Intel) OReilly 2020-02-07 | Data is the fuel for analytics and AI workloads, but the challenges in using it are constant. Ziya Ma discusses how recent innovations from Intel in high-capacity persistent memory and open source software are accelerating production-scale deployments, delivering breakthrough optimizations and faster insights to a wide range of opportunities in the digital enterprise.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
OReilly Strata Data and AI Conference | London, UK OReilly 2020-01-30 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
OReilly Software Architecture Conference - Attendee Testimonials - Berlin 2019 OReilly 2020-01-21 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Katas at OReilly Software Architecture Conference - New York 2020 OReilly 2020-01-21 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
OReilly Software Architecture Conference, New York 2020 OReilly 2020-01-21 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
OReilly Strata Data and AI Conference 2020 OReilly 2020-01-16 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
OReilly Software Architecture Conference | New York 2020 OReilly 2020-01-15 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Happy Holidays from OReilly OReilly 2019-12-19 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: instagram.com/oreillymedia LinkedIn: linkedin.com/company-beta/8459
Kubernetes at scale: The good, the bad, and the ugly (sponsored by Oracle Cloud Infrastructure) OReilly 2019-12-16 | Kubernetes at scale: The good, the bad, and the ugly (sponsored by Oracle Cloud Infrastructure)Karthik Gaekwad (Oracle Cloud Infrastructure)Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Building in security for open source projects, with Adrian Cockcroft (AWS) OReilly 2019-12-13 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
How Disruptive Tech is Reshaping the Financial Services Industry - Swatee Singh (American Express) OReilly 2019-12-13 | The financial services industry is increasingly using disruptive technology—including AI and machine learning, edge computing, blockchain, mobile and mixed reality, virtual assistants, and quantum computing to name a few—to enhance the customer experience and personalize their interactions with customers. The same is true at American Express. Swatee Singh examines broad trends in financial services with respect to leveraging disruptive technologies. She also highlights specific examples of how American Express uses these technologies; for example, using mixed reality to enhance the customer experience, personalizing customer service interactions through AI and ML, and employing Alexa integrations to streamline purchasing journeys.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Cisco Data Intelligence Platform (sponsored by Cisco) - Siva Sivakumar (Cisco) OReilly 2019-12-13 | Siva Sivakumar explains the Cisco Data Intelligence Platform (CDIP), which is a cloud-scale architecture that brings together big data, AI and compute farm, and storage tiers to work together as a single entity, while also being able to scale independently to address the IT issues in the modern data center.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Postrevolutionary big data: Promoting the general welfare - Barbara Eckman (Comcast) OReilly 2019-12-13 | (Sponsored by Io-Tahoe) - Data democratization was a chief goal and major benefit of the big data revolution. Data owners no longer have to wait for the EDW IT Department to write ETL jobs before they can access and query their data. Anyone can store their data in the data lake, in any structure (or no consistent structure).Ten years later, we’re struggling with the unintended consequences of the big data revolution. Data is often multiply redundantly stored. Data of interest is difficult to locate, and its schemas are often difficult to understand. Precise connections among putatively related datasets are not captured. The great promise of the big data revolution—integration of data across silos to discover otherwise hidden trends and improve customer experience— has largely gone unrealized due to this postrevolutionary chaos.Barbara Eckman shares lessons learned from early big data mistakes and the progress her team at Comcast is making toward a postrevolutionary big data vision.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Delivering the enterprise data cloud - Arun Murthy (Cloudera) OReilly 2019-12-13 | An enterprise data cloud can unlock the value of any data anywhere at cloud speed and cloud scale. It has the power to transform our businesses and even the way we live. In this keynote, we’ll introduce you to the new 100% open source Cloudera Data Platform (CDP), the world’s first enterprise data cloud. CDP is hybrid and multi-cloud, delivering the speed, agility, and scale you need to secure and govern your data anywhere from the edge to AI.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Merging big data and cloud, with Taylor Newill (Oracle Cloud Infrastructure) OReilly 2019-12-13 | Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Building and deploying AI applications and systems at scale, Ben Lorica and Roger Chen OReilly 2019-12-13 | Ben Lorica (O'Reilly), Roger Chen (Computable)Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
The power of knowledge at scale, Alexis Crowell Helzer (Intel) OReilly 2019-12-13 | The industrial revolution scaled output and productivity to new heights. The Internet revolution did the same for access to information. Now, the AI revolution is poised to scale both machine and human knowledge. To generate that knowledge, companies must think differently about AI and how to deploy it. Alexis will cover the three “Be’s”, and how to approach AI systematically to truly harness knowledge at scale.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
For AI to thrive, failure is necessary: A practical guide, Ritika Gunnar (IBM) OReilly 2019-12-13 | Across industries, AI is viewed as the key to transforming organizations and fundamentally changing the way people work. However, adoption of AI has been slow, and there is a misconception that if you aren’t immediately successful, then your AI strategy doesn’t work. However, the truth is, in order for AI to thrive within an organization, it first needs to fail. Failure allows organizations to rethink and rework how they approach data, processes, and culture.Ritika Gunnar explores why you need to focus on your organization’s culture and build a data-first approach to shape a strong, AI-ready organization.This keynote is sponsored by IBM Watson.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Unlocking data capital with AI (sponsored by Dell), Arash Ghazanfari (Dell Technologies) OReilly 2019-12-13 | As we look toward more demanding applications of artificial intelligence to unlock value from data, it’s increasingly essential to develop a sustainable big data strategy and to efficiently scale artificial intelligence initiatives. Arash Ghazanfari covers the fundamental principles that need to be considered in order to achieve this goal.This keynote is sponsored by Dell.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Real-time AI for entity resolution, Jeff Jonas (Senzing) OReilly 2019-12-13 | Entity resolution—determining “who is who” and “who is related to whom”—is essential to almost every industry, including banking, insurance, healthcare, marketing, telecommunications, social services, and more. Unlike traditional AI and machine learning that require enormous amounts of training data, new incremental learning algorithms work out of the box without training or tuning. Then in real time the algorithms get smarter without any reloading.Jeff Jonas details how you can use a purpose-built real-time AI, created for general-purpose entity resolution, to gain new insights and make better decisions faster.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Building and deploying AI applications and systems at scale OReilly 2019-12-13 | Building and deploying AI applications and systems at scaleBen Lorica (O'Reilly), Roger Chen (Computable)Ben LoricaO'ReillyBen Lorica is the chief data scientist at O’Reilly. Ben has applied business intelligence, data mining, machine learning, and statistical analysis in a variety of settings, including direct marketing, consumer and market research, targeted advertising, text mining, and financial engineering. His background includes stints with an investment management company, internet startups, and financial services.Roger ChenComputableRoger Chen is cofounder and CEO of Computable and program chair for the O’Reilly Artificial Intelligence Conference. Previously, he was a principal at O’Reilly AlphaTech Ventures (OATV), where he invested in and worked with early-stage startups primarily in the realm of data, machine learning, and robotics. Roger has a deep and hands-on history with technology. Before startups and venture capital, he was an engineer at Oracle, EMC, and Vicor. He also developed novel nanoscale and quantum optics technology as a PhD researcher at UC Berkeley. Roger holds a BS from Boston University and a PhD from UC Berkeley, both in electrical engineering.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond, Zhe Zhang (LinkedIn) OReilly 2019-12-13 | From people you may know (PYMK) to economic graph research, machine learning is the oxygen that powers how LinkedIn serves its 630M+ members.Zhe Zhang provides you with an architectural overview of LinkedIn’s typical machine learning pipelines complemented with key types of ML use cases. He explores the changes and challenges brought in by the emergence of deep learning techniques, including hardware (GPU, networking), data, tooling, and language (Python and C++ versus Java and Scala). You’ll be introduced to the ongoing work of establishing a unified ML infrastructure based on Spark and TensorFlow, which offers high performance and efficiency together with ease of use.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Start your engines, Ian Massingham (Amazon Web Services) OReilly 2019-12-13 | Start your engines: Making deep reinforcement learning accessible to all developersReinforcement learning is an advanced machine learning technique that makes short-term decisions while optimizing for a longer-term goal through trial and error. Ian Massingham dives into state-of-the-art techniques in deep reinforcement learning (DRL) for a variety of use cases. He also explores the efforts that AWS has been making to make DRL accessible to a broader population of software developers.This keynote is sponsored by AWS.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
The quest for high-quality data, Ihab Ilyas (University of Waterloo) OReilly 2019-12-13 | “AI starts with good data” is a statement that receives wide agreement from data scientists, analysts, and business owners. There has been a significant increase in our ability to build complex AI models for prediction, classification, and various analytics tasks, and there’s an abundance of (fairly easy to use) tools that allow data scientists and analysts to provision complex models within days. However, the lack of data or data-quality issues remains the main bottleneck holding back further adoption of AI technologies. Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. Multiple studies prove that cleaning data is a much more effective investment than enhancing learning robustness.Ihab Ilyas highlights this data quality problem and describes the HoloClean framework, a state-of-the-art prediction engine for structured data with direct applications in detecting and repairing data errors, as well as imputing missing labels and values. The framework uses techniques such as data augmentation and self-supervised learning to build models that describe how data is generated and how errors and anomalies are introduced.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
Accelerate with purpose, Walter Riviera (Intel) OReilly 2019-12-13 | Today’s computing hardware has taken us well into the resurgence of AI, but with the demand for AI compute doubling nearly every three months, new ways of computing are required that can keep up and evolve.Walter Riviera details three key shifts in the AI landscape—incredibly large models with billions of hyperparameters, massive clusters of compute nodes supporting AI, and the exploding volume of data meeting ever-stricter latency requirements—how to navigate them, and when to explore hardware acceleration.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
When to trust AI, Marta Kwiatkowska (Trinity College, University of Oxford) OReilly 2019-12-13 | Machine learning solutions are revolutionizing AI, but their instability against adversarial examples—small perturbations to inputs that can catastrophically affect the output—raises concerns about the readiness of this technology for widespread deployment.Marta Kwiatkowska uses illustrative examples to give you an overview of techniques being developed to improve the robustness, safety, and trust in AI systems.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
When flying is cheaper than standing still, Raffaello D’Andrea (Verity | ETH Zurich) OReilly 2019-12-13 | It’s hard these days to ignore the attention given to autonomy and robotics. The impact is significant and the reach across the industry is extensive, hitting transportation with self-driving cars, logistics and supply chain with mobile robots, and remote sensing applications with aerial vehicles or drones.Raffaello D’Andrea presents his vision of how autonomous indoor drones will drive the next wave of autonomous robotics development and growth, highlighting how new applications for this platform are brought to market. From carrying LEDs or costumes as part of a spectacular stage effect to carrying sensors to enable IoT applications in industrial facilities, the applications for carrying lightweight and high-value payloads are numerous. Join Raffaello to see how the underlying core technologies for autonomy and indoor drones can take you from touring with Metallica to scanning barcodes in warehouses.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
The New Norms of Cloud Native, Cheryl Hung (Cloud Native Computing Foundation) OReilly 2019-12-12 | To view the full keynote and other talks from O'Reilly Software Architecture Conference, please visit: learning.oreilly.com/videos/oreilly-software-architecture/9781492050728Cheryl Hung is the director of ecosystem at the Cloud Native Computing Foundation, the home of Kubernetes, Prometheus, and other open source cloud native projects, and a London-based software engineer, public speaker, and tech executive. She founded the largest and most active cloud native meetup globally, CloudNative London. Previously, Cheryl was a software engineer at Google London and New York. She holds a master’s degree in computer science from the University of Cambridge.Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYiFollow O'Reilly on: Twitter: http://twitter.com/oreillymediaFacebook: http://facebook.com/OReillyInstagram: instagram.com/oreillymediaLinkedIn: linkedin.com/company-beta/8459
