InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Rendering Large Models in the Browser in Real-Time
Shwetha Nagaraja & Federico Rocha explore in detail techniques and strategies that Autodesk Forge Viewer introduces for viewing extremely large 2D and 3D models in the browser in real-time.
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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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Real-World Examples of FaaS
John Graham-Cumming talks about Cloudflare Workers, a new architecture launched by Cloudflare over a year ago, and looks at real world examples of what's being built using this architecture.
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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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From Monolith to Observable Microservices Using DDD
María Gómez shows how to move from a monolith to microservices applying Domain-Driven Design principles. She explains how to better maintain microservices in production by making them observable.
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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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