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Videos by: newcircle

Enterprise Node.JS Apps in 2018

Enterprise Node.JS Apps in 2018

2 weeks ago
Download the slides & audio at InfoQ: Jamund Ferguson discusses tackling challenges with large-scale Node.js deployments, using async/await to handle errors, and strategies to embrace latest JavaScript technologies. This presentation was recorded at QCon London 2017: The next QCon is in San Francisco, Nov 5-7, 2018. Check out the tracks and speakers: […]

Pam Selle on Serverless Observability

1 month ago
Pam Selle (an engineer for IOPipe who builds tooling for serverless observability) talks about the case for serverless and the challenges for developing observability solutions. Some of the things discussed on the podcast include tips for creating boundaries between serverless and non-serverless resources and how to think of distributed tracing in serverless environments. Read the […]

Basics of Deep Learning: No Math Required

2 months ago
Recently deep learning has shattered all records when it comes to machine learning. Many developers never harness the power of this machine learning technique. In this short talk you will gain a basic understanding of the two simplest types of layers: the dense, and convolutional layer. No math required. Roland Meertens is Machine Learning Engineer […]

TensorFlow Jumpstart

2 months ago
Magnus Hyttsten talks about TensorFlow and gives an overview of the different products & APIs and the best practice. Magnus Hyttsten is a Developer Advocate for TensorFlow at Google. This video was recorded at 2018: More videos from 2018 on InfoQ: The InfoQ Architects’ Newsletter is your monthly guide to all […]

Machine Learning: Predicting Demand in Fashion

2 months ago
Ritesh Madan shows how Celect uses the historical data (point of sales transaction, inventory, product attributes, product images, product descriptions) to build a SaaS solution that helps buyers and merchants predict the future demand of products for the upcoming season. The short talk covers the real life problem statement, high level ML frameworks, and how […]

JupyterLab: The Next Generation Jupyter Web Interface

2 months ago
Jason Grout gives an overview of JupyterLab, the next generation of the Jupyter Notebook. Jason Grout is a Jupyter developer working at Bloomberg in New York. He works primarily on JupyterLab and the interactive widget system. This video was recorded at 2018: The next QCon is in San Francisco, November 5 – 7, […]

Live the QCon Experience – QCon London 2018

2 months ago
Wondering what you missed at QCon London 2018? We’ve had 18 tracks across three days, three morning keynotes, an evening keynote, over 100 speakers and over 1300 attendees. Watch this recap of the 2018 QCon London conference! Live the QCon experience, check out our next conferences: QCon San Francisco 2018 QCon London 2019

Building a Security System with Image Recognition & an Amazon DeepLens

2 months ago
Jeremy Edberg shows us step by step how he built a security system for his house using the Amazon DeepLens. He goes over how he built and trained the models, and the steps necessary to get the camera making inferences and sending alerts. Jeremy Edberg is an angel investor and advisor for various incubators and […]

The Basics of ROS Applied to Self-Driving Cars

2 months ago
Anthony Navarro covers a brief overview of the ROS (Robot Operating System) architecture and how we would begin using it on our self-driving car project. ROS is a framework used for robotics around the world. With the emergence of self-driving cars, many companies have helped moved ROS from an academic tool to a core component […]

pDB: Abstraction for Modeling Predictive Machine Learning Problems

2 months ago
Balaji Rengarajan does a brief overview of modeling machine learning problems using Celect’s pDB framework. He demonstrates how disparate predictive problems can be expressed using a common pDB language. Balaji Rengarajan is responsible for architecting and engineering key aspects of the cloud- agnostic data science platform based on Celect’s pDB framework for non-parametric machine learning. […]

Building (Better) Data Pipelines with Apache Airflow

2 months ago
In this session, Sid Anand talks about Apache Airflow, an up-and-coming platform to programmatically author, schedule, manage, and monitor workflows. Airflow’s design requires users to define DAGs (directed acyclic graphs) a.k.a. workflows in Python code, so that DAGs can be managed via the same software engineering principles and practices used to manage any other code. […]

Transmogrification: The Magic of Feature Engineering

2 months ago
Machine learning algorithms often take center stage in machine learning and AI. However, in the real world, 90% of the time spent building models goes into creating the mythical perfect numeric matrix of features, to feed into the chosen algorithm. Every machine learning team repeats the same effort, reinventing the wheel once again. In this […]