Messages
6/5/2022
11 : 14
❓❗️Microsoft’s Causal Inference Just Got Better with PyWhy
Weekly news digest curated by the industry insiders
6/4/2022
2 : 40
📝 Guest post: How to Prioritize Data Quality for Computer Vision: An Expert Primer*
In this article, Superb AI's team gives a tour of the data quality tooling landscape and proposes ideas to design a robust data quality tool for computer vision applications. With the rise of the
6/2/2022
12 : 4
👤⚙️ Edge#196: FLUTE is Microsoft’s New Framework for Federated Learning
The new framework enables large scale, offline simulations of federated learning scenarios
6/1/2022
12 : 14
📝 Guest post: Prevent AI failure with data logging and ML monitoring*
Monitoring and observability for AI applications are on every organization's roadmap right now. In this guest post, our partner WhyLabs highlights the need for data and machine learning-specific
5/31/2022
11 : 24
💠 Edge#195: A New Series About Graph Neural Networks
In this issue: we start a new series about graph neural networks (GNN); we observe how DeepMind showcases the potential of GNN; we discuss Deep Graph Library, a framework for implementing GNNs. Enjoy
5/29/2022
11 : 34
🟥🟩🟦🟨 Microsoft’s New ML Announcements
Weekly news digest curated by the industry insiders
5/27/2022
12 : 14
🎙 Mike Del Balso/CEO of Tecton about Operational ML and ML Flywheels
It's so inspiring to learn from practitioners and thinkers. Getting to know the experience gained by researchers, engineers, and entrepreneurs doing real ML work is an excellent source of insight
5/26/2022
12 : 14
👁 Edge#194: Masterful AI, the Training Platform for Automated Computer Vision
On Thursdays, we do deep dives into one of the freshest research papers or technology frameworks that is worth your attention. Our goal is to keep you up to date with new developments in AI and
5/25/2022
11 : 44
🧠 Why subscribe to TheSequence?
#1 AI Newsletter on Substack
5/24/2022
11 : 14
✅ Edge#193: ML Training at Scale Recap
TheSequence is the best way to build and reinforce your knowledge about machine learning and AI
5/22/2022
11 : 14
☁️🔁📱 The Most Important Federated Learning Framework
Weekly news digest curated by the industry insiders
5/20/2022
11 : 44
📝 Guest post: Fast Access to Feature Data for AI Applications with Hopsworks*
how to abstract away the complexity of a dual storage system
5/19/2022
12 : 14
🟧 Edge#192: Inside Predibase, the Enterprise Declarative ML Platform
Our goal is to keep you up to date with new developments in AI and introduce to you the platforms that deal with the ML challenges
5/18/2022
11 : 44
📝 Guest post: How to Measure Your GPU Cluster Utilization, and Why That Matters*
In this article, Run:AI's team introduces rntop, a new super useful open-source tool that measures GPU cluster utilization. Learn why that's a critical measure for data scientists, as well as
5/17/2022
11 : 24
📨 Edge#191: MPI – the Fundamental Enabler of Distributed Training
In this issue: we discuss the fundamental enabler of distributed training: message passing interface (MPI); +Google's paper about General and Scalable Parallelization for ML Computation Graphs; +
5/16/2022
12 : 14
📌Event: Join the Largest Conference on MLOps: 3rd Annual MLOps World 2022! 🎉
We are happy to support the 3rd Annual MLOps World 2022! The MLOps World Committee would like to invite you this June 9-10th for a truly must-attend event, and an unforgettable experience in Toronto,
5/15/2022
11 : 24
Google’s Big ML Week
Weekly news digest curated by the industry insiders
5/13/2022
11 : 34
📌 Last chance! Join us at apply() – the ML Data Engineering Conference
It's free
5/12/2022
14 : 25
📝 Guest post: It's Time to Use Semi-Supervised Learning for Your CV models*
In this article, Masterful AI's team suggests that instead of throwing more training data at a deep learning model, one should consider semi-supervised learning (SSL) to unlock the information in
5/12/2022
14 : 14
🔬 Edge#190: Continuous Model Observability With Superwise
Introducing to you the platforms that deal with the ML challenges