The Data Exchange with Ben Lorica
Alle afleveringen
375 afleveringen, van nieuw naar oud
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Efficient Scaling of Language Models
28 april 2022 · 27 min
This week’s guests are Barret Zoph and Liam Fedus, research scientists at Google Brain. Our conversation centered around Large Language Models (LLM), specifically recent work by Barret, Liam, and their collaborators on efficient scaling of large language models. Lees meer
Download a FREE copy of our recent NLP Industry Survey Results: https://gradientflow.com/2021nlpsurvey/
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Detailed show notes can be found on The Data Exchange web site.
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Data Science at Stitch Fix
21 april 2022 · 31 min
Olivia Liao is Senior Director of Data Science at Stitch Fix, a company that uses data science and expert stylists to deliver personalization at scale. We discuss how they blend data science and domain expertise, how they tune recommendations in light of logistics and supply chain constraints, and how they incorporate new developments in large language models, multimodal models and Responsible AI. Lees meer
Download a FREE copy of our recent NLP Industry Survey Results: https://gradientflow.com/2021nlpsurvey/
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Detailed show notes can be found on The Data Exchange web site.
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The 2022 AI Index
14 april 2022 · 45 min
Jack Clark is co-director of the AI Index Steering Committee. In this episode we discuss key findings of the fifth edition of the AI Index. The report uses multiple metrics (benchmarks, publications, patents, legislation, etc.) to track progress in AI (mainly deep learning) in key areas that include computer vision, speech recognition, and language models. Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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Why You Need A Time-Series Database
7 april 2022 · 46 min
This week’s guests are Ajay Kulkarni (CEO) and Mike Freedman (CTO), co-founders of Timescale, the startup behind the popular relational database for time-series and analytics. Mike is also a Professor of Computer Science at Princeton University. Our conversation took place a few weeks after Timescale raised a massive funding round and achieved unicorn status. Lees meer
Download the FREE Report: 2022 Data Engineering Survey Report → https://gradientflow.com/2022desurvey/?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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Data Science at Shopify
31 maart 2022 · 35 min
This week’s guest is Wendy Foster, Director of Engineering & Data Science at Shopify. We discussed applications of data science within Shopify, how they organize their data teams, the lifecycle of a data science project within the company, and how they approach emerging challenges like Responsible AI, large language models, and multimodal models. Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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An AI Risk Management Framework
24 maart 2022 · 31 min
This week’s guests are Elham Tabassi of the National Institute of Standards and Technology (NIST) and Andrew Burt, Managing Partner of BNH.ai, the first law firm focused on AI compliance, risk mitigation, and related topics. We discuss the new NIST framework – “AI Risk Management Framework” – intended for voluntary use to manage risks in the design, development and use of AI products and systems. Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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An open source and end-to-end library for causal inference
17 maart 2022 · 40 min
This week’s guests are Amit Sharma (Principal Researcher) and Emre Kiciman (Senior Principal Researcher) of Microsoft Research. We talk about practical applications of causal inference, a set of tools and techniques that enable data teams to draw causal conclusions based on data. Amit and Emre are part of the team behind DoWhy, a new open source library for estimating causal effects based on historical data alone, particularly useful when we cannot run an experiment because of time, expense, or ethical concerns. Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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The Graph Intelligence Stack
10 maart 2022 · 37 min
Leo Meyerovich is founder and CEO of Graphistry, a startup building tools to democratize visual graph intelligence and graph machine learning. Leo and I recently wrote a well-received post (“What Is Graph Intelligence?”) making the case for why companies need to revisit graph analytics and graph intelligence. Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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NLP and Language Models in Healthcare and the Life Sciences
3 maart 2022 · 38 min
This week’s guests are Dia Trambitas-Miron (Head of Product) and David Talby (CTO) of John Snow Labs, the startup behind the popular open source project, Spark NLP. The company also has a suite of products including an NLP platform targeted specifically for the healthcare, pharmaceutical, and biotech sectors. Lees meer
Download a FREE copy of our recent NLP Industry Survey Results: https://gradientflow.com/2021nlpsurvey/
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Detailed show notes can be found on The Data Exchange web site.
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Delivering Continuous Intelligence at Scale
24 februari 2022 · 31 min
Simon Crosby is CTO of Swim.ai, a startup building tools (based on the Swim open source project) for next-generation data and AI applications. Swim is one of several projects (along with Ray and Akka) contributing to interest in the Actor Model for building large-scale machine learning and data applications and infrastructure. Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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Imperceptible NLP Attacks
17 februari 2022 · 45 min
Nicholas Boucher is a PhD at Cambridge University where his focus is on security including on topics like homomorphic encryption, voting systems, and adversarial machine learning. He is the lead author of a fascinating new paper – “Bad Characters: Imperceptible NLP Attacks” – which provides a taxonomy of attacks against text-based NLP models, that are based on Unicode and other encoding systems. Lees meer
Download a FREE copy of our recent NLP Industry Survey Results: https://gradientflow.com/2021nlpsurvey/
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Detailed show notes can be found on The Data Exchange web site.
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Evolving Data Science Training Programs
10 februari 2022 · 34 min
This week’s guest is Anjali Samani, Director of Data Science and Data Intelligence at SalesForce. We first met during the early days of Faculty, one of the leading data science and AI startups in Europe. Anjali helped design and lead the early Fellowship programs at Faculty (these are intensive bootcamps that turn STEM PhDs and turn them into industrial data scientists). Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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Building Machine Learning Infrastructure at Netflix and beyond
3 februari 2022 · 35 min
Savin Goyal is CTO and co-founder of Outerbounds, a startup building infrastructure to help teams streamline how they build machine learning applications. Prior to starting Outerbounds, Savin and team worked at Netflix, where they were instrumental in the creation and release of Metaflow, an open source Python framework that addresses some of the challenges data scientists face around scalability and version control. Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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Democratizing NLP
27 januari 2022 · 44 min
Moshe Wasserblat is a Senior Principal Engineer at Intel, where he serves as a Research Manager focused on NLP and Deep Learning. Lees meer
Download a FREE copy of our recent NLP Industry Survey Results: https://gradientflow.com/2021nlpsurvey/
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Detailed show notes can be found on The Data Exchange web site.
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Machine Learning at Discord
20 januari 2022 · 40 min
Gaurav Chakravorty, is a Senior Manager at Discord, where he leads the team responsible for machine learning models in the area of search and notification. Prior to discord Gaurav was a manager at Google where he led the team responsible for personalized podcast recommendations. Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Detailed show notes can be found on The Data Exchange web site.
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Applications of Knowledge Graphs
13 januari 2022 · 40 min
This week's guest is Mike Tung, founder and CEO of Diffbot, a startup that crawls the web and offers one of the most comprehensive knowledge graphs accessible through a variety of simple interfaces. Lees meer
Detailed show notes can be found on The Data Exchange web site.
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Key AI and Data Trends for 2022
6 januari 2022 · 37 min
In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and my podcast co-organizer Mikio Braun. This conversation took place as we were assembling our list of trends for 2022. Lees meer
Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcast
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Large Language Models
30 december 2021 · 41 min
This episode features conversations with two experts who have helped train and release models that can recognize, predict, and generate human language on the basis of very large text-based data sets. First is an excerpt of my conversation with Connor Leahy, AI Researcher at Aleph Alpha GmbH, and founding member of EleutherAI, (pronounced “ee-luther”) a collective of researchers and engineers building resources and models for researchers who work on natural language models. Next up is an excerpt from a recent conversation with Yoav Shoham, co-founder of AI21 Labs, creators of the largest language model available to developers. Lees meer
Download a FREE copy of our recent NLP Industry Survey Results: https://gradientflow.com/2021nlpsurvey/
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Detailed show notes can be found on The Data Exchange web site.
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Data and Machine Learning Platforms at Shopify
23 december 2021 · 44 min
Azeem Ahmed, is Director of Engineering at Shopify, where he leads the team that builds the primitives and the API’s used by all data scientists, machine learning engineers, and members of Shopify's engineering team. Our conversation focused on the evolution and design of data and machine learning platforms within Shopify. Azeem and I also discussed broader trends, including the rise of modern data platforms and the maturation of data lakehouses. Lees meer
Download a FREE copy of our recent NLP Industry Survey Results: https://gradientflow.com/2021nlpsurvey/
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Detailed show notes can be found on The Data Exchange web site.
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What is AI Engineering?
16 december 2021 · 33 min
Christopher Nguyen is CEO and co-founder of Aitomatic, a startup building a platform for Industrial AI applications. Christopher previously held executive and leadership roles at organizations tasked with building machine learning solutions for traditional enterprises. Our conversation centered around what Christopher terms, AI Engineering – a new discipline concerned with the qualitative and quantitative design, construction, and operation of systems with artificial-intelligence capabilities. Lees meer
Download a FREE copy of our recent Data Engineering Survey Results: https://gradientflow.com/2022desurvey
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Detailed show notes can be found on The Data Exchange web site.
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NLP and AI in Financial Services
9 december 2021 · 46 min
This week’s guest is Anshul Pandey, CTO and co-founder at Accern, a startup helping financial services companies build and deploy AI applications via a no-code platform. Our conversation focused on the specific challenges of building AI and NLP applications within financial services. Lees meer
Download a FREE copy of our recent NLP Industry Survey Results: https://gradientflow.com/2021nlpsurvey/
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Detailed show notes can be found on The Data Exchange web site.
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Modern Experimentation Platforms
2 december 2021 · 54 min
Che Sharma is the founder and CEO of Eppo, an experimentation framework that integrates with modern data platforms (cloud lakehouses and cloud data warehouses). We discuss the importance of investing in experimentation tools and the power of having a well-oiled experimentation culture within an organization. Che also explains how modern data platforms enable applications like experimentation frameworks like Eppo. Lees meer
Download a FREE copy of our recent Data Engineering Survey Results: https://gradientflow.com/2022desurvey
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Detailed show notes can be found on The Data Exchange web site.
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Reinforcement Learning in Real-World Applications
24 november 2021 · 37 min
Happy Thanksgiving to listeners who celebrate it! This episode features conversations with two experts who have been applying reinforcement learning to problems in industry. First is an excerpt of my conversation with Nicolas (Nic) Hohn, Chief Data Scientist, McKinsey/QuantumBlack Australia. Nic led a team of data scientists charged with helping America’s Cup winning team, Emirates Team New Zealand, test new designs for hydrofoils – important sailing boat components that could be modified based on rules set forth by race organizers. I also include an excerpt of a conversation with Max Pumperla, Data Science Professor at IU International University of Applied Sciences, who at the time of our conversation, was also the Head of Product Research at Pathmind, a SaaS that helps businesses use reinforcement learning in real-world applications. Lees meer
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MLOps Anti-Patterns
18 november 2021 · 37 min
This week’s guest is Nikhil Muralidhar, a Graduate Research Assistant at Virginia Tech College of Engineering. He is the lead author of an excellent survey paper entitled “Using AntiPatterns to avoid MLOps Mistakes”. Lees meer
Download a FREE copy of our recent Data Engineering Survey Results: https://gradientflow.com/2022desurvey
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Detailed show notes can be found on The Data Exchange web site.
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Why You Need a Modern Metadata Platform
11 november 2021 · 46 min
Pardhu Gunnam (CEO) and Mars Lan (CTO), are co-founders of Metaphor Data, creators of the first Modern Metadata Platform. As we noted in a previous post, a metadata fabric is the right foundation for data governance and data discovery solutions, data catalogs, and other enterprise data services. This insight resulted in several metadata systems being created within technology companies a few years ago. In fact, the team at Metaphor created one of the more popular systems – DataHub – while they were at Linkedin. Lees meer
Video version has a detailed table of contents: https://www.youtube.com/watch?v=W8ZJHN77Ieg
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Making Large Language Models Smarter
4 november 2021 · 39 min
This week’s guest is Yoav Shoham, co-founder of AI21 Labs, creators of the largest language model available to developers. Yoav is also a Professor Emeritus of Computer Science at Stanford University, and a serial entrepreneur who has co-founded numerous data and AI startups. Lees meer
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AI Begins With Data Quality
28 oktober 2021 · 43 min
This week’s guest is Jeremy Stanley, co-founder and CTO of Anomalo, a startup building SaaS tools to help companies with data quality. Prior to Anomalo, Jeremy was VP of Data Science at Instacart. Lees meer
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Modernizing Data Integration
21 oktober 2021 · 38 min
This week’s guest is Michel Tricot, co-founder and CEO of Airbyte, a startup behind the popular open source project with the same name. While still a relatively young open source project, Airbyte has emerged a favorite among data and platform engineers tasked with building and maintaining data integration systems within companies. Lees meer
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Deploying Machine Learning Models Safely and Systematically
14 oktober 2021 · 42 min
This week’s guest is Hamel Husain, Staff Machine Learning Engineer at GitHub and a core developer for fastai. Prior to GitHub, Hamel worked on machine learning applications and systems at Airbnb and DataRobot. Lees meer
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Large-scale machine learning and AI on multi-modal data
7 oktober 2021 · 32 min
This week’s guest is Bob Friday, VP and CTO at Mist Systems a Juniper Company. Bob is a serial entrepreneur and seasoned technologist, and at Mist his team uses data technologies, machine learning , and AI to “optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains”. Lees meer
Bob and his team build models from structured, semi-structured, and unstructured data. They have deployed anomaly detection models that rely on deep learning (LSTMs) and have begun exploring the use of graph neural networks for a variety of use cases. They have also built and deployed systems that use recent advances in natural language models. Their virtual assistant provides insight and guidance to IT staff via a natural language conversational interface.
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Machine Learning in Astronomy and Physics
30 september 2021 · 41 min
This week’s guest is Dr. Viviana Acquaviva, Associate Professor in the Physics Department at the CUNY NYC College of Technology and at the CUNY Graduate Center. She is an Astrophysicist with a strong interest in Data Science and Machine Learning. Lees meer
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The Unreasonable Effectiveness of Multiple Dispatch
23 september 2021 · 51 min
This week I have my annual check-in on the state of Julia with Viral Shah, Co-founder and CEO of Julia Computing. Since we spoke last year, Julia continues to make inroads and grow its user base, and Julia Computing closed their $24M Series A round in July. Lees meer
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How To Lead In Data Science
16 september 2021 · 44 min
This week our special correspondent and editor Jenn Webb and I speak with Jike Chong and Cathy Chang, executives and seasoned leaders of data science teams. Our conversation is focused on their new book “How to Lead in Data Science”. Lees meer
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Why interest in graph databases and graph analytics are growing
9 september 2021 · 53 min
In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and Paco Nathan, author, teacher, and founder of Derwen.ai, a boutique consulting firm specializing in Data, machine learning, and AI. Of late, Paco has been doing a lot of work with graphs and as such he’s had to immerse himself in the world of graph data management technologies. This conversation is focused on what’s new with graph databases, and why there’s been a resurgence in interest in them. We also discuss use cases of graph databases, graph analytics, and graph neural networks. Lees meer
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The State of Data Journalism
2 september 2021 · 54 min
This week our special correspondent and editor Jenn Webb speak with Tara Kelly, Data Editor at DataJournalism.com (DJC) an organization created by the European Journalism Centre. DJC provides journalists and media groups with free resources, materials, online video courses and community forums. Most recently they created two free e-books: The Verification Handbook and an updated edition of the Data Journalism Handbook. Lees meer
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Auditing machine learning models for discrimination, bias, and other risks
26 augustus 2021 · 52 min
This week’s guest are Rayid Ghani, Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University, and Andrew Burt, co-founder and Managing Partner of BNH.ai, a new law firm focused on AI compliance, risk mitigation, and related topics. BNH is the first law firm run by lawyers and technologists focused on helping companies identify and mitigate risks associated with machine learning and AI. Lees meer
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An oscilloscope for deep learning
19 augustus 2021 · 50 min
This week’s guest is Charles Martin, independent researcher and founder of Calculation Consulting, a boutique consultancy focused on data science and machine learning. Along with Michael Mahoney and Serena Peng, Charles is co-author of a recent Nature paper on new methods for evaluating and tuning deep learning models (“Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data”). Lees meer
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What’s new in data engineering
12 augustus 2021 · 37 min
This week our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and Jesse Anderson, Managing Director at the Big Data Institute. Jesse is the author of a recent book entitled “Data Teams: A Unified Management Model for Successful Data-Focused Teams”. This conversation was focused on key areas in data engineering. Lees meer
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The evolution of the data science role and of data science tools
5 augustus 2021 · 50 min
This week our managing editor Jenn Webb and I speak with Sean Taylor, Data Science Manager at Lyft. Sean was previously a research scientist and manager at Facebook where he was instrumental in the creation and release of Prophet, a very popular open source library for time-series forecasting. Lees meer
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Data Augmentation in Natural Language Processing
29 juli 2021 · 52 min
This week’s guests are Steven Feng, Graduate Student and Ed Hovy, Research Professor, both from the Language Technologies Institute of Carnegie Mellon University. We discussed their recent survey paper on Data Augmentation Approaches in NLP (GitHub), an active field of research on techniques for increasing the diversity of training examples without explicitly collecting new data. One key reason why such strategies are important is that augmented data can act as a regularizer to reduce overfitting when training models. Lees meer
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Storage Technologies for a Multi-cloud World
22 juli 2021 · 43 min
This week’s guest is Brad King, CTO of Scality, a company that builds software-defined file and object storage systems for hybrid & multi-cloud settings. Storage and compute are the basic building blocks of (cloud) computing platforms and this episode highlights all the important considerations and recent innovations in storage technologies that data engineers, architects, and machine learning professionals need to know. Lees meer
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Building a next-generation dataflow orchestration and automation system
15 juli 2021 · 49 min
In this episode, our managing editor Jenn Webb and I speak with Chris White, CTO of Prefect, a startup building tools to help companies build, monitor, and manage dataflows. Prefect originated from lessons Chris and his co-founder learned while they were at Capital One, where they were early users and contributors to related projects like Apache Airflow. Lees meer
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Building a flexible, intuitive, and fast forecasting library
8 juli 2021 · 44 min
This week’s guests are Reza Hosseini, Staff Software Engineer, and Albert Chen, Staff Data Scientist, both at Linkedin. Reza and Albert are part of the team behind the new open source library Greykite, a flexible and fast library for time-series forecasting. Lees meer
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Neural Models for Tabular Data
1 juli 2021 · 44 min
This week’s guest is Sercan Arik, Research Scientist at Google Cloud AI. Sercan and his collaborators recently published a paper on TabNet, a deep neural network architecture for tabular data. It uses sequential attention to select features, is explainable, and based on tests Sarjan and team have done spanning many domains, TabNet outperforms or is on par with other models (e.g., XGBoost) on classification and regression problems. Lees meer
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Training and Sharing Large Language Models
24 juni 2021 · 51 min
This week’s guest is Connor Leahy, AI Researcher at Aleph Alpha GmbH, and founding member of EleutherAI, (pronnounced “ee-luther”) a collective of researchers and engineers building resources and models for researchers who work on natural language models. As NLP research becomes more computationally demanding and data intensive, there is a need for researchers to work together to develop tools and resources for the broader community. While relatively new, EleutherAI has already released a models and data that many researchers are benefitting from. Lees meer
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Questioning the Efficacy of Neural Recommendation Systems
17 juni 2021 · 59 min
This week’s guests are leading researchers in recommendation systems: Paolo Cremonesi is Professor of Computer Science and Maurizio Ferrari Dacrema is a Postdoc at Politecnico di Milano, where they are both part of the RecSys research group. Paolo is also the Reproducibility co-chair for the upcoming RecSys Conference. Lees meer
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Automation in Data Management and Data Labeling
10 juni 2021 · 44 min
This week’s guest is Hyun Kim, co-founder and CEO of Superb AI, a startup building tools to help companies manage data across the entire machine learning application lifecycle. This includes tools to label, store, and monitor data assets that power all computer vision applications. We also discussed emerging trends in machine learning and AI including synthetic data, reinforcement learning, and self-supervised learning. Lees meer
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Reinforcement Learning For the Win
3 juni 2021 · 48 min
This week’s guest is Nicolas (Nic) Hohn, Chief Data Scientist, McKinsey/QuantumBlack Australia. Nic led a team of data scientists charged with helping America’s Cup winning team, Emirates Team New Zealand, test new designs for hydrofoils – important sailing boat components that could be modified based on rules set forth by race organizers. More precisely the QuantumBlack team used Ray RLlib to design an AI agent that could learn to sail the boat for a given design at an optimal speed, and this AI agent proved crucial during the design process. Lees meer
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How Companies Are Investing in AI Risk and Liability Minimization
27 mei 2021 · 42 min
In this episode of the Data Exchange I speak with Andrew Burt, co-founder and Managing Partner of BNH.ai, a new law firm focused on AI compliance, risk mitigation, and related topics. BNH is the first law firm run by lawyers and technologists focused on helping companies identify and mitigate risks associated with machine learning and AI. Lees meer
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Detailed show notes can be found on The Data Exchange web site.
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The Future of Machine Learning Lies in Better Abstractions
20 mei 2021 · 49 min
This week’s guest is Travis Addair, he previously led the team at Uber that was responsible for building Uber’s deep learning infrastructure. Travis is deeply involved with two popular open source projects related to deep learning: Lees meer
He is maintainer of Horovod, a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
And Travis is a co-maintainer of Ludwig, a toolbox that allows users to train and test deep learning models without the need to write code.
Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.
Detailed show notes can be found on The Data Exchange web site.
Subscribe to The Gradient Flow Newsletter.