📌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
🔥AI drive-thrus are coming. McDonald's is selling its McD Tech Labs to IBM in order to "further accelerate" work on its automated voice ordering systems. Fewer humans, more robots.
https://engt.co/3pYkJIh
https://engt.co/3pYkJIh
Engadget
McDonald's and IBM could bring AI-powered drive-thrus to more restaurants | Engadget
McDonald's is selling its tech labs to IBM to help automate food orders through AI, removing some humans from drive-thrus..
💡Deploying Serverless spaCy Transformer Model with AWS Lambda
In this step-by-step guide, you'll learn how to deploy NER transformer model serverless with Huggingface and AWS Lambda to run predictions. Four major steps.
https://bit.ly/3bC1Out
In this step-by-step guide, you'll learn how to deploy NER transformer model serverless with Huggingface and AWS Lambda to run predictions. Four major steps.
https://bit.ly/3bC1Out
Medium
Deploying Serverless spaCy Transformer Model with AWS Lambda
A step-by-step guide on how to deploy NER transformer model serverless
⚡️Hi friends! Data Phoenix team wants to remind you 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/3CG583v
https://bit.ly/3CG583v
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.
📚DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction
Hao Feng et al. propose a new framework, called Document Image Transformer (DocTr), to address the issue of geometry and illumination distortion of the document images.
https://bit.ly/3mIR9V4
Hao Feng et al. propose a new framework, called Document Image Transformer (DocTr), to address the issue of geometry and illumination distortion of the document images.
https://bit.ly/3mIR9V4
Hello everyone! Data Phoenix team is ready to present our weekly 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/3COMbvA
https://bit.ly/3COMbvA
Data Phoenix
Data Phoenix Digest - ISSUE 30
Project OpenBytes and the NextArch Foundation, Azure OpenAI service, AI for drinking water, a gentle introduction to Vector Space Models, Non-Deep Networks, Wav2CLIP, ADOP, NLP course, AutoML course, jobs, and more ...
📌Linux Foundation to promote dataset sharing and software dev techniques
The Linux Foundation announces Project OpenBytes and the NextArch Foundation. OpenBytes is an “open data community” and a new data standard and format for AI apps, while NextArch will build software development architectures that support a range of environments.
https://bit.ly/3nWuHHq
The Linux Foundation announces Project OpenBytes and the NextArch Foundation. OpenBytes is an “open data community” and a new data standard and format for AI apps, while NextArch will build software development architectures that support a range of environments.
https://bit.ly/3nWuHHq
VentureBeat
Linux Foundation to promote dataset sharing and software dev techniques
The Linux Foundation has launched new efforts -- OpenBytes and NextArch -- to promote common dataset sharing and development practices.
⚡️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) Director of Data Operations - GitHub, Remote (US / Canada)
https://bit.ly/3qbO2ah
2) Engineering Manager, Machine Learning - Grammarly, Kyiv, Remote
https://bit.ly/3BKOyOE
3) Sr. Field Data Scientist - Domino Data Lab, Remote
https://bit.ly/3wkVm4z
4) Senior Data Scientist - Intercom, Remote (UK / Ireland)
https://bit.ly/3kdl45Z
5) Data Science Intern (Summer 2022) - Reddit, Remote (US)
https://bit.ly/3bMygdz
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) Director of Data Operations - GitHub, Remote (US / Canada)
https://bit.ly/3qbO2ah
2) Engineering Manager, Machine Learning - Grammarly, Kyiv, Remote
https://bit.ly/3BKOyOE
3) Sr. Field Data Scientist - Domino Data Lab, Remote
https://bit.ly/3wkVm4z
4) Senior Data Scientist - Intercom, Remote (UK / Ireland)
https://bit.ly/3kdl45Z
5) Data Science Intern (Summer 2022) - Reddit, Remote (US)
https://bit.ly/3bMygdz
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!