Messages
7/21/2022
12 : 14
🟢⚪️ Edge#210: Hopsworks 3.0, Connecting Python to the Modern Data Stack
On Thursdays, we deep dive 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 introduce
7/20/2022
12 : 4
📌 Event: Join us at The Future of Data-Centric AI 2022 — a free virtual event by Snorkel AI
We're excited to partner with Snorkel AI on The Future of Data-Centric AI, a free two-day virtual event on August 3-4 that will cover the latest data-centric approaches to AI application
7/19/2022
11 : 25
🔂 Edge#209: A New Series About ML Testing
Welcome to our premium newsletter that helps you learn ML concepts and focuses on the projects that move the AI industry forward. The content is trusted by the main AI labs, universities, enterprises,
7/18/2022
12 : 24
📌 Event: A dive into continuous training automation – webinar by Superwise
Join us on August 9th for a live coding session as we build out a continuous MLOps pipeline. We'll start with the ML pipeline and see how we can detect performance degradation and data drift in
7/17/2022
11 : 34
🤖👩🏼🎨 Meta Steps Into Generative Art with Make-A-Scene
Subscribe today if you haven't yet!
7/16/2022
22 : 44
⚡️ Last day 50% OFF
Don't miss out
7/14/2022
12 : 4
💥 Edge#208: Google’s Minerva Can Solve Mathematical and Scientific Problems Through Step-by-Step Reasoning
The model is a major breakthrough in quantitative reasoning techniques.
7/14/2022
10 : 44
📝 Guest post: 5 Principles You Need To Know About Continuous ML Data Intelligence*
In this article, founder and CEO of Galileo Vikram Chatterji discusses the problems with ML data blindspots and introduces ML Data Intelligence that helps an ML team holistically understand and improve
7/12/2022
11 : 14
🌐 🕸 Graph Neural Networks Recap
Last week we finished our mini-series about Graph Neural Networks, an important one. Here is a full recap for you to catch up with the topics we covered. As the proverb (and many ML people) says:
7/11/2022
13 : 4
⚡️ Flash 50% OFF
Only 7 days left!
7/10/2022
11 : 34
🗣🗣🗣 No Language Left Behind
Natural language understanding (NLU) is the area of deep learning that has seen the most impressive breakthroughs in recent years
7/8/2022
12 : 14
📌 Free 7-Day Trial of FeatureBase, the Real-Time Database for Continuously Changing Data
We're excited to support Molecula's launch of FeatureBase and offer you a 7-day Trial. You can either enroll in a Cloud trial (without installation or infrastructure management) or install
7/7/2022
12 : 14
🟩⬛️ Edge#206: OpenAI’s New Transformer Model Mastered Minecraft by Using Unlabeled Videos
One of the first applications of transformer models to video intelligence
7/6/2022
12 : 14
😱 Flash 50% OFF
A unique offer to celebrate TheSequence's 2nd Anniversary!
7/5/2022
11 : 24
☝️⚙️ Edge#205: What is Graph Attention Network?
Welcome to our premium newsletter that help you learn ML concepts and focuses on the projects that move the AI industry forward. The content is unique and trusted by the main AI labs, universities,
7/3/2022
11 : 24
♦️⚡️♦️ Databricks' New ML Announcements
Databricks has been one of the companies that have been at the center of the big data movement, pioneering technologies such as Apache Spark. Machine learning (ML) has been a native component of Spark
7/1/2022
11 : 54
📝 Guest post: How to Select Better ConvNet Architectures for Image Classification Tasks*
There's no go-to formula for any ML project. A huge part of improving machine learning systems is experimenting until you find a solution that works well for your use case. However, an overwhelming
6/30/2022
12 : 24
📃🪄🖼 Edge#204: Inside Imagen. Google’s Impressive Text-to-Image Alternative to OpenAI’s DALLE-2
Imagen provides a simpler architecture able to generate photorealistic images from language inputs
6/29/2022
17 : 4
🎂🎉🦾 Happy Birthday TheSequence!
50% OFF to celebrate our 2nd anniversary!
6/28/2022
11 : 14
🔴🟨 Edge#203: What are Graph Recurrent Neural Networks?
+ what GNNs on Dynamic Graphs; and the exploration of DeepMind's Jraph, a GNN Library for JAX.