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.
⚡️Hello friends! 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) Data Analyst - Grammarly, San Francisco; Remote
https://bit.ly/3Btt9JC
2) Computational Materials Scientist AI / ML - Exabyte.io, San Francisco, Remote
https://bit.ly/3bmaYuZ
3) Machine Learning Engineer - Daily Harvest, USA (Remote)
https://bit.ly/3vZmupw
4) Machine Learning Product Manager - FreshBooks, Canada (Remote)
https://bit.ly/3jLKDen
5) AI Scientist - Paige, Netherlands (Remote)
https://bit.ly/3Cy5fhE
For the other 5 positions click and subscribe 👉🏻 https://bit.ly/2ZB34Lk
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) Data Analyst - Grammarly, San Francisco; Remote
https://bit.ly/3Btt9JC
2) Computational Materials Scientist AI / ML - Exabyte.io, San Francisco, Remote
https://bit.ly/3bmaYuZ
3) Machine Learning Engineer - Daily Harvest, USA (Remote)
https://bit.ly/3vZmupw
4) Machine Learning Product Manager - FreshBooks, Canada (Remote)
https://bit.ly/3jLKDen
5) AI Scientist - Paige, Netherlands (Remote)
https://bit.ly/3Cy5fhE
For the other 5 positions click and subscribe 👉🏻 https://bit.ly/2ZB34Lk
🔥According to Deloitte's State of AI in the Enterprise report, more and more companies are adopting AI-powered solutions and making AI the core of their business strategy.
https://bit.ly/3w0tCSw
https://bit.ly/3w0tCSw
VentureBeat
AI-driven strategies are becoming mainstream, survey finds
A survey by Deloitte finds that companies are beginning to embrace the necessary strategies to successfully deploy AI and machine learning.
📌Applications and Techniques for Fast Machine Learning in Science
This community review report discusses applications and techniques for fast ML in science based on two workshops held by the Fast ML for Science community. Make sure to have a look!
https://bit.ly/3CyOkva
This community review report discusses applications and techniques for fast ML in science based on two workshops held by the Fast ML for Science community. Make sure to have a look!
https://bit.ly/3CyOkva
Hello friends! Today, we're going to present to you DJ Patil, a prominent visionary in Academia, Industry, and Government. He's a board member for Devoted Health, a Senior Fellow at the Belfer Center at the Harvard Kennedy School, and an Advisor to Venrock Partners.
Dr. Patil was appointed by President Obama to be the first U.S. Chief Data Scientist, the role in which his efforts led to the establishment of nearly 40 Chief Data Officer roles across the Federal government.
In Industry, he was the CTO for Devoted Health, led the product teams at RelateIQ (acquired by Salesforce), was a founding board member for Crisis Text Line (develops new technologies for on-demand mental and crisis support), and was a member of the venture firm Greylock Partners. He also was Chief Scientist, Chief Security Officer, and Head of Analytics and Data Product Teams at the LinkedIn Corporation where he co-coined the term "Data Scientist". He has also worked for Skype, PayPal, and eBay.
https://bit.ly/3qaTJ8D
Dr. Patil was appointed by President Obama to be the first U.S. Chief Data Scientist, the role in which his efforts led to the establishment of nearly 40 Chief Data Officer roles across the Federal government.
In Industry, he was the CTO for Devoted Health, led the product teams at RelateIQ (acquired by Salesforce), was a founding board member for Crisis Text Line (develops new technologies for on-demand mental and crisis support), and was a member of the venture firm Greylock Partners. He also was Chief Scientist, Chief Security Officer, and Head of Analytics and Data Product Teams at the LinkedIn Corporation where he co-coined the term "Data Scientist". He has also worked for Skype, PayPal, and eBay.
https://bit.ly/3qaTJ8D
📚Knowledge Graphs Course 2021 [In Russian]
Graph Representation Learning (GRL) is an extremely popular area of research. This course aims to close the gaps Russian speakers may have in the topic. 9 lectures in total.
https://bit.ly/3ES78qf
Graph Representation Learning (GRL) is an extremely popular area of research. This course aims to close the gaps Russian speakers may have in the topic. 9 lectures in total.
https://bit.ly/3ES78qf
Open Data Science (ODS.ai)
KG Course 2021
Курс по графам знаний (Knowledge Graphs) и как их готовить в 2021 году