InfoQ Homepage QCon New York 2019 Content on InfoQ
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MLflow: An Open Platform to Simplify the Machine Learning Lifecycle
Corey Zumar offers an overview of MLflow – a new open source platform to simplify the machine learning lifecycle from Databricks.
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From Research to Production with PyTorch
Jeff Smith covers some of the latest features from PyTorch including the TorchScript JIT compiler, distributed data parallel training, TensorBoard integration, new APIs, and more.
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The State of Serverless Computing
Chenggang Wu discusses both the benefits and shortcomings of existing serverless offerings and highlights challenges that must be overcome to realize truly general-purpose serverless computing.
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Getting Started in Deep Learning with TensorFlow 2.0
Brad Miro explains what deep learning is, why one may want to use it over traditional ML methods, as well as how to get started building deep learning models using TensorFlow 2.0.
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Breaking Hierarchy - How Spotify Enables Engineer Decision Making
Kristian Lindwall shares how Spotify approaches the problem of fully leveraging the capacity of everyone in the organization.
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Machine-to-Machine Interfaces
Ari Lerner explores the world of machine-to-machine interfaces and presents a real-world use-case for all the buzzwords, including the blockchain, micropayments, api-driven single-purpose services.
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Psychologically Safe Process Evolution in a Flat Structure
Christopher Lucian shares practical ideas on how to add evolutionary management and process iteration into a company, such as establishing a safe environment for collaboration, encouraging new ideas
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Hands-on Feature Engineering for Natural Language Processing
Susan Li shares various NLP feature engineering techniques, from Bag-Of-Words to TF-IDF to word embedding that includes feature engineering for both ML models and an emerging deep learning approach.
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Let's Talk Locks!
Kavya Joshi explores when and why locks affect performance, delves into Go’s lock implementation as a case study, and discusses strategies one can use when locks are actually a problem.
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Tackling Computing Challenges @CERN
Maria Girone discusses the current challenges of capturing, storing, and processing the large volumes of data generated by the Large Hadron Collider experiments.
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Leaving the Ivory Tower: Research in the Real World
Armon Dadgar talks about HashiCorp Research, its long tradition of basing their tools and products on academic research, how they incorporate research, and what has been particularly useful for them.
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Using Bets, Boards and Missions to Inspire Org-wide Agility
John Cutler talks about Bets, Boards, and Missions, and how to apply them in an organization, and why it is important to uplevel teams and become outcome focused.
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