📚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!
💡PyTorch: Transfer Learning and Image Classification
In this tutorial, Adrian Rosebrock will explain how you can perform transfer learning for image classification using the PyTorch deep learning library. Check out part 1 of the tutorial.
https://bit.ly/3BSfLz1
In this tutorial, Adrian Rosebrock will explain how you can perform transfer learning for image classification using the PyTorch deep learning library. Check out part 1 of the tutorial.
https://bit.ly/3BSfLz1
PyImageSearch
PyTorch: Transfer Learning and Image Classification - PyImageSearch
In this tutorial, you will learn to perform transfer learning and image classification using the PyTorch deep learning library.
⚡️Hello everybody! Today's the day we're going to talk about Dion Hinchcliffe. He's an internationally recognized business strategist, enterprise architect, transformation consultant, futurist, analyst, and in-demand keynote speaker.
Dion's currently a VP and Principal Analyst at Constellation Research where he heads up research and global client advisory into CIO issues, the Future of Work, and emerging enterprise technology. Dion's an industry expert in such areas as enterprise IT, digital transformation, digital workplace, social collaboration, customer experience, API strategy, Enterprise 2.0, Web 2.0, social business, SOA, cloud computing, agile/DevOps, digital business, and IT strategy. His thought leadership can be found on ZDNet, Constellation Research, InformationWeek, ebizQ, On Digital Strategy, and the Enterprise Irregulars. He's also co-authored Web 2.0 Architectures for O’Reilly and the bestselling Social Business by Design (John Wiley & Sons).
https://bit.ly/3H0iFFH
Dion's currently a VP and Principal Analyst at Constellation Research where he heads up research and global client advisory into CIO issues, the Future of Work, and emerging enterprise technology. Dion's an industry expert in such areas as enterprise IT, digital transformation, digital workplace, social collaboration, customer experience, API strategy, Enterprise 2.0, Web 2.0, social business, SOA, cloud computing, agile/DevOps, digital business, and IT strategy. His thought leadership can be found on ZDNet, Constellation Research, InformationWeek, ebizQ, On Digital Strategy, and the Enterprise Irregulars. He's also co-authored Web 2.0 Architectures for O’Reilly and the bestselling Social Business by Design (John Wiley & Sons).
https://bit.ly/3H0iFFH
📚Wav2CLIP: Learning Robust Audio Representations From CLIP
Wav2CLIP is a robust audio representation learning method by distilling from CLIP. It can outperform publicly available pre-trained audio representation algorithms.
https://bit.ly/3kjbP4l
Wav2CLIP is a robust audio representation learning method by distilling from CLIP. It can outperform publicly available pre-trained audio representation algorithms.
https://bit.ly/3kjbP4l
📌Neural Radiance Field (NeRF) Papers at ICCV 2021
In anticipation of ICCV (Intl. Conf. on Computer Vision), the author rounded up all papers that use Neural Radiance Fields (NeRFs) that will be represented in the main ICCV2021 conference.
https://bit.ly/3wr3Rep
In anticipation of ICCV (Intl. Conf. on Computer Vision), the author rounded up all papers that use Neural Radiance Fields (NeRFs) that will be represented in the main ICCV2021 conference.
https://bit.ly/3wr3Rep
Frank Dellaert
NeRF at ICCV 2021
In anticipation of ICCV (Intl. Conf. on Computer Vision) this week, I rounded up all papers that use Neural Radiance Fields (NeRFs) that will be represented in the main #ICCV2021 conference.Many of the papers I discussed in my original blog-post on NerF made…
📚Natural Language Processing (NLP) course
During this course, the students can gain a comprehensive understanding of NLP, from the principles and theories of NLP to various NLP technologies. 12 lectures in total.
https://bit.ly/3mZofA4
During this course, the students can gain a comprehensive understanding of NLP, from the principles and theories of NLP to various NLP technologies. 12 lectures in total.
https://bit.ly/3mZofA4
Open Data Science (ODS.ai)
Natural Language Processing course — Open Data Science
💡A Gentle Introduction to Vector Space Models
In this tutorial, you'll learn about vector space, the properties of cosine similarity and how it can help you compare two vectors, and how cosine similarity and L2 distance are different.
https://bit.ly/3qsomX5
In this tutorial, you'll learn about vector space, the properties of cosine similarity and how it can help you compare two vectors, and how cosine similarity and L2 distance are different.
https://bit.ly/3qsomX5
MachineLearningMastery.com
A Gentle Introduction to Vector Space Models - MachineLearningMastery.com
Vector space models are to consider the relationship between data that are represented by vectors. It is popular in information retrieval systems but also useful for other purposes. Generally, this allows us to compare the similarity of two vectors from a…
⚡️Hello friends, we hope that your day is going great! 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/31HnjrQ
https://bit.ly/31HnjrQ
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.
📚Non-deep Networks
In this paper, Ankit Goyal et al. theorize and show that it is possible to build high-performing "non-deep" neural networks by using parallel subnetworks instead of stacking one layer after another.
https://bit.ly/3CdvGbg
In this paper, Ankit Goyal et al. theorize and show that it is possible to build high-performing "non-deep" neural networks by using parallel subnetworks instead of stacking one layer after another.
https://bit.ly/3CdvGbg
⚡️Hi friends!
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/3ngpnQd
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/3ngpnQd
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.
⚡️Hello friends! We hope that your weekend is going great!
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) Product Manager, Machine Learning - Grammarly, Kyiv, Remote
https://bit.ly/3osDO2G
2) Director of Data Operations - GitHub, Remote - US / Canada
https://bit.ly/3qxohBq
3) Machine Learning Engineer - Lyft, Kyiv
https://bit.ly/3HlSPfi
4) Data Scientist - Snap, Kyiv, Odesa, Remote
https://bit.ly/3wF8ulb
5) Research Scientist in HPC and AI Performance - Lawrence Berkeley National Lab, Bay Area, California, United States
Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info
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) Product Manager, Machine Learning - Grammarly, Kyiv, Remote
https://bit.ly/3osDO2G
2) Director of Data Operations - GitHub, Remote - US / Canada
https://bit.ly/3qxohBq
3) Machine Learning Engineer - Lyft, Kyiv
https://bit.ly/3HlSPfi
4) Data Scientist - Snap, Kyiv, Odesa, Remote
https://bit.ly/3wF8ulb
5) Research Scientist in HPC and AI Performance - Lawrence Berkeley National Lab, Bay Area, California, United States
Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info
📌 MLOps and DevOps: Why Data Makes It Different
In this article, the O'Reilly team digs into the fundamentals of machine learning as an engineering discipline to answer key questions about MLOps, DevOps, and their evolution through data.
https://bit.ly/31ZNA51
In this article, the O'Reilly team digs into the fundamentals of machine learning as an engineering discipline to answer key questions about MLOps, DevOps, and their evolution through data.
https://bit.ly/31ZNA51
O’Reilly Media
MLOps and DevOps: Why Data Makes It Different
Machine Learning’s deployment stack is maturing
We hope your Sunday is going great and you are ready for the upcoming week!
But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3ccpLbO
But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3ccpLbO