💡Simple Recurrent Neural Networks Is All We Need for Clinical Events Predictions Using EHR Data
The authors conduct a thorough benchmark of RNN architectures in modeling EHR data on two prediction tasks: developing heart failure and early readmission for inpatient hospitalization.
https://bit.ly/3phxIEm
The authors conduct a thorough benchmark of RNN architectures in modeling EHR data on two prediction tasks: developing heart failure and early readmission for inpatient hospitalization.
https://bit.ly/3phxIEm
To create a powerful ML you need well-organized data, this is how it works. If you want to know more meet Dr. Zech and Dr. Bazhirov on October 22nd to learn more about facilitating data science, for materials and chemicals through catecom - an open-source collaborative approach to the categorization of computational models including data structures, database schemas, and their applications.
The webinar focuses on helping users execute computational materials science tasks on Exabyte.io and introduces an approach capable of representing complex model structures in a data-centric manner suitable for the applications of AI/ML.
Register at https://bit.ly/3B3vudX
The webinar focuses on helping users execute computational materials science tasks on Exabyte.io and introduces an approach capable of representing complex model structures in a data-centric manner suitable for the applications of AI/ML.
Register at https://bit.ly/3B3vudX
📌Understanding Simple Recurrent Neural Networks In Keras
In this tutorial, you'll learn about the structure of RNN, how RNN computes the output when given an input, how to prepare data for a SimpleRNN in Keras, and how to train a SimpleRNN model.
https://bit.ly/30M0ovb
In this tutorial, you'll learn about the structure of RNN, how RNN computes the output when given an input, how to prepare data for a SimpleRNN in Keras, and how to train a SimpleRNN model.
https://bit.ly/30M0ovb
MachineLearningMastery.com
Understanding Simple Recurrent Neural Networks in Keras - MachineLearningMastery.com
This tutorial is designed for anyone looking for an understanding of how recurrent neural networks (RNN) work and how to use them via the Keras deep learning library. While the Keras library provides all the methods required for solving problems and building…
Hi friends! Don't forget about our weekly newsletter which is coming tomorrow! Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3vx56Is
https://bit.ly/3vx56Is
Data Phoenix
Data Phoenix is your best friend in learning and growing in the data world! We publish digest, organize events and help expand the frontiers of your knowledge in ML, CV, NLP, and other aspects of AI.
💡Keypoint Communities
In this paper, Duncan Zauss et al. present a fast bottom-up method that jointly detects over 100 keypoints on humans or objects, also referred to as human/object pose estimation.
https://bit.ly/3nc2XOC
In this paper, Duncan Zauss et al. present a fast bottom-up method that jointly detects over 100 keypoints on humans or objects, also referred to as human/object pose estimation.
https://bit.ly/3nc2XOC
Hello friends!
Great news! Data Phoenix just published the latest issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3m6y3Ii
Great news! Data Phoenix just published the latest issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3m6y3Ii
Data Phoenix
Data Phoenix Digest - ISSUE 28
Image data loaders in PyTorch, object detection with YOLO, keypoint communities, ResNet strikes back, Graph Neural Network for lagrangian simulation, DVC alternatives for experiment tracking, jobs, and more ...
🎥Graph Neural Network for Lagrangian Simulation
The video explains how you can design, build, and use GNNs for Langrarian simulation. Based on the work presented at American Physical Society - Division of Fluid Dynamics Annual Meeting.
https://bit.ly/3b0Yhph
The video explains how you can design, build, and use GNNs for Langrarian simulation. Based on the work presented at American Physical Society - Division of Fluid Dynamics Annual Meeting.
https://bit.ly/3b0Yhph
YouTube
Graph Neural Network for Lagrangian Simulation - Zijie Li
MAIL Website: http://baratilab.com
Presented at American Physical Society - Division of Fluid Dynamics Annual Meeting (APS-DFD 2020)
Fluid Simulations with Graph Neural Networks:
Water Fall: https://youtu.be/zZ1NuFZGgVE
Dam: https://youtu.be/NGpBanlouLI…
Presented at American Physical Society - Division of Fluid Dynamics Annual Meeting (APS-DFD 2020)
Fluid Simulations with Graph Neural Networks:
Water Fall: https://youtu.be/zZ1NuFZGgVE
Dam: https://youtu.be/NGpBanlouLI…
⚡️Hello guys! How is your weekend going?⚡️
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) Machine Learning Product Manager - FreshBooks, Canada (Remote)
https://bit.ly/3Eca14S
2) Machine Learning Engineer - Domino Data Lab, Europe (Remote)
https://bit.ly/2Zhkkp2
3) Senior Data Scientist - Heap, Remote
https://bit.ly/3Gcy4lL
4) Machine Learning Engineer - Wikimedia Foundation, Remote
https://bit.ly/3nj9irD
5) Principal Data Scientist - Twilio, US (Remote)
https://bit.ly/3B8S84E
Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info for details. We'll be proud to help your business thrive!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) Machine Learning Product Manager - FreshBooks, Canada (Remote)
https://bit.ly/3Eca14S
2) Machine Learning Engineer - Domino Data Lab, Europe (Remote)
https://bit.ly/2Zhkkp2
3) Senior Data Scientist - Heap, Remote
https://bit.ly/3Gcy4lL
4) Machine Learning Engineer - Wikimedia Foundation, Remote
https://bit.ly/3nj9irD
5) Principal Data Scientist - Twilio, US (Remote)
https://bit.ly/3B8S84E
Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info for details. We'll be proud to help your business thrive!
💡MLOps Model Stores: Definition, Functionality, Tools Review
Is there a way to keep all the collaboration on developing and deploying ML models efficient and streamlined? The team at Neptune seems to have found the right answer!
https://bit.ly/3b5zAYB
https://bit.ly/3b5zAYB)
Is there a way to keep all the collaboration on developing and deploying ML models efficient and streamlined? The team at Neptune seems to have found the right answer!
https://bit.ly/3b5zAYB
https://bit.ly/3b5zAYB)
neptune.ai
MLOps Model Stores: Definition, Functionality, Tools Review
Overview of MLOps Model Stores, defining the concept, understanding functionalities, reviewing tools, and guidance for selection.
Hello everyone! Today, we'd like to introduce you to Chris Messina. A living legend who has spent over 15 years on the edge of social technology.
Chris's in charge of the West Coast business development for Republic, an inclusive fundraising platform disrupting conventional venture capital. He often plays product therapist and helps founders and makers nail their launches on Product Hunt.
He's best known for inventing the hashtag, but he has also designed products and experiences for Google and Uber, founded startups, and changed the world with such social innovations as co-working and BarCamp. Being a world-known product designer, he has spoken about social tech, product design, synthetic media and founder culture at TEDx, SXSW, Google I/O, Microsoft’s Future Decoded, and many other leading conferences.
He also appeared (briefly!) in The Social Dilemma on Netflix and was featured in at least two books: No Filte by Sarah Frier, and Billion Dollar Loser by Reeves Wiedeman.
https://bit.ly/3jzBQvN
Chris's in charge of the West Coast business development for Republic, an inclusive fundraising platform disrupting conventional venture capital. He often plays product therapist and helps founders and makers nail their launches on Product Hunt.
He's best known for inventing the hashtag, but he has also designed products and experiences for Google and Uber, founded startups, and changed the world with such social innovations as co-working and BarCamp. Being a world-known product designer, he has spoken about social tech, product design, synthetic media and founder culture at TEDx, SXSW, Google I/O, Microsoft’s Future Decoded, and many other leading conferences.
He also appeared (briefly!) in The Social Dilemma on Netflix and was featured in at least two books: No Filte by Sarah Frier, and Billion Dollar Loser by Reeves Wiedeman.
https://bit.ly/3jzBQvN
📌Adding Data to Build a More Generic Model
When you want to change datasets and start tracking how they affect the model, use DVC remote. You'll be able to upload/download GBs of data and see how changes affect individual experiments.
https://bit.ly/3Gg6PXL
When you want to change datasets and start tracking how they affect the model, use DVC remote. You'll be able to upload/download GBs of data and see how changes affect individual experiments.
https://bit.ly/3Gg6PXL
Data Version Control · DVC
Adding Data to Build a More Generic Model
You can easily make changes to your dataset using DVC to handle data versioning. This will let you extend your models to handle more generic data.
💡Image Data Loaders in PyTorch
In any Deep Learning-based system, the data loading pipeline should be structured so that it can be seamlessly integrated with DL models. Learn how it's done with PyTorch.
https://bit.ly/3pE8oc8
In any Deep Learning-based system, the data loading pipeline should be structured so that it can be seamlessly integrated with DL models. Learn how it's done with PyTorch.
https://bit.ly/3pE8oc8
PyImageSearch
Image Data Loaders in PyTorch - PyImageSearch
Learn to use PyTorch DataLoaders. A gentle guide to using data loaders in your own projects.
📌How Waze Uses TFX to Scale Production-Ready ML
Waze is the world's largest community-based traffic and navigation app. In this article, you'll learn how its team uses TFX to scale production-ready machine learning.
https://bit.ly/3nqzbFO
Waze is the world's largest community-based traffic and navigation app. In this article, you'll learn how its team uses TFX to scale production-ready machine learning.
https://bit.ly/3nqzbFO
blog.tensorflow.org
How Waze Uses TFX to Scale Production-Ready ML
How Waze Uses TFX and Vertex AI to simplify their ML stack and realize the fullcycle data science philosophy
Hello friends! Data Phoenix team wants to present to you — AltexSoft, a technology consulting company organizing AI UKRAINE 2021 Conference
AltexSoft understands the importance of promoting AI among engineers, researchers, and students; that's why, the company's been holding an international conference AI Ukraine, connecting experts in Data Science and Machine Learning since 2014.
AI Ukraine brings together more than 800 tech leaders and engineers from around the world to listen to keynotes of acknowledged experts and scientists. And this year won't be different. On Oct. 30, you will have an amazing opportunity to meet speakers from Facebook AI Research lab, Microsoft, Google Cloud, Snap Inc., and more.
On top of that, the founder of Data Phoenix - Dmitry Spodarets will be one of the speakers and if you'd like to know us better you are most welcome. He will explain how to speed up the development of ML models through MLOps. Dmitry will cover the best practices and tools of MLOps. Explore in practice how you can design and build a robust infrastructure for data & model versioning, automated training, testing and deployment of ML models, and experiment tracking. As a small gift from us, use "data_phoenix" promo code to get a 25% discount.
AI Ukraine provides a perfect environment for sharing best practices, networking with like-minded people, and establishing productive, long-term business relationships.
Click on the link to learn more: https://bit.ly/3jGEe4d
Don't miss your chance to register; the next conference's up only in 2022
Can't wait to meet you all!
AltexSoft understands the importance of promoting AI among engineers, researchers, and students; that's why, the company's been holding an international conference AI Ukraine, connecting experts in Data Science and Machine Learning since 2014.
AI Ukraine brings together more than 800 tech leaders and engineers from around the world to listen to keynotes of acknowledged experts and scientists. And this year won't be different. On Oct. 30, you will have an amazing opportunity to meet speakers from Facebook AI Research lab, Microsoft, Google Cloud, Snap Inc., and more.
On top of that, the founder of Data Phoenix - Dmitry Spodarets will be one of the speakers and if you'd like to know us better you are most welcome. He will explain how to speed up the development of ML models through MLOps. Dmitry will cover the best practices and tools of MLOps. Explore in practice how you can design and build a robust infrastructure for data & model versioning, automated training, testing and deployment of ML models, and experiment tracking. As a small gift from us, use "data_phoenix" promo code to get a 25% discount.
AI Ukraine provides a perfect environment for sharing best practices, networking with like-minded people, and establishing productive, long-term business relationships.
Click on the link to learn more: https://bit.ly/3jGEe4d
Don't miss your chance to register; the next conference's up only in 2022
Can't wait to meet you all!
Aiukraine
AI Ukraine Online Conference 2021
Data Phoenix pinned «Hello friends! Data Phoenix team wants to present to you — AltexSoft, a technology consulting company organizing AI UKRAINE 2021 Conference AltexSoft understands the importance of promoting AI among engineers, researchers, and students; that's why, the company's…»
💡The Imperative for Sustainable AI Systems
Check out a unique piece that has been chosen as the winner of the inaugural Gradient Prize. A deep dive into the ins and outs of sustainable AI systems and their designs.
https://bit.ly/3nuyonu
Check out a unique piece that has been chosen as the winner of the inaugural Gradient Prize. A deep dive into the ins and outs of sustainable AI systems and their designs.
https://bit.ly/3nuyonu
The Gradient
The Imperative for Sustainable AI Systems
This piece was the winner of the inaugural Gradient Prize [https://thegradient.pub/2021-gradient-prize/]. Introduction AI systems are compute-intensive: the AI lifecycle often requires long-running training jobs, hyperparameter searches, inference jobs, and…
Are you onboard and receive our weekly newsletter? Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3Bq62jb
https://bit.ly/3Bq62jb
Data Phoenix
Data Phoenix is your best friend in learning and growing in the data world! We publish digest, organize events and help expand the frontiers of your knowledge in ML, CV, NLP, and other aspects of AI.
📌Object Detection with YOLO: Hands-on Tutorial
YOLO is a state-of-the-art object detection algorithm, which achieves high accuracy at real-time speed. Let's learn how to train this algorithm on a custom dataset in TensorFlow / Keras.
https://bit.ly/3jM6imL
YOLO is a state-of-the-art object detection algorithm, which achieves high accuracy at real-time speed. Let's learn how to train this algorithm on a custom dataset in TensorFlow / Keras.
https://bit.ly/3jM6imL
neptune.ai
Object Detection with YOLO: Hands-on Tutorial
Discover the use of YOLO for object detection, including its implementation in TensorFlow/Keras and custom training.
Hey friends!
Data Phoenix is here and we want to tell you that the latest issue of the digest is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/2ZG7SQa
Data Phoenix is here and we want to tell you that the latest issue of the digest is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/2ZG7SQa
Data Phoenix
Data Phoenix Digest - ISSUE 29
NATO's focus on AI, state of AI report 2021, predicting gene expression with AI, generating captions for scientific figures, applications and techniques for fast Machine Learning in science, events, courses, videos, jobs, and more ...
💡Introduction to Distributed Training in PyTorch
This tutorial will introduce you to the basics of distributed training in PyTorch. Note that this is the last of article in a 3-part tutorial on intermediate PyTorch techniques for CV/DL practitioners.
https://bit.ly/3pPD2PH
This tutorial will introduce you to the basics of distributed training in PyTorch. Note that this is the last of article in a 3-part tutorial on intermediate PyTorch techniques for CV/DL practitioners.
https://bit.ly/3pPD2PH
PyImageSearch
Introduction to Distributed Training in PyTorch - PyImageSearch
Learn how to use PyTorch to conduct distributed training with Python. This post is a gentle introduction to PyTorch and distributed training for the deep learning practitioner.