Good morning everyone! Hope you have a great weekend! Here's your dose of positivity as always for this Sunday!🤗
https://bit.ly/2YJtQB8
https://bit.ly/2YJtQB8
Hello everyone! Hope you had a great start of the week! Data Phoenix would like to make your Monday even better and to talk about Bill Schmarzo, one of the top Digital Transformation influencers on Big Data and Data Science. If you don’t follow him yet, kindly check this out!
Bill Schmarzo worked in data warehousing, advanced analytics, and BI niches for over 30 years. As the current CTO, Analytics and IoT for Hitachi Vantara, “The Dean of Big Data” guides the company’s technology strategy and drives “co-creation” efforts with select customers, to leverage IoT and analytics capacity powering digital transformation.
Bill is also famous as a writer. He has published three books: "The Art of Thinking Like a Data Scientist," "Big Data," and "Big Data MBA". Books aside, he is the author of over 300 articles and blog posts on how organizations can become more effective at leveraging data and analytics to power their business models.
https://bit.ly/3FsvwzA
https://bit.ly/3iP2b8U
Bill Schmarzo worked in data warehousing, advanced analytics, and BI niches for over 30 years. As the current CTO, Analytics and IoT for Hitachi Vantara, “The Dean of Big Data” guides the company’s technology strategy and drives “co-creation” efforts with select customers, to leverage IoT and analytics capacity powering digital transformation.
Bill is also famous as a writer. He has published three books: "The Art of Thinking Like a Data Scientist," "Big Data," and "Big Data MBA". Books aside, he is the author of over 300 articles and blog posts on how organizations can become more effective at leveraging data and analytics to power their business models.
https://bit.ly/3FsvwzA
https://bit.ly/3iP2b8U
📌Reinforcement Learning Lecture Series 2021 [DeepMind]
The course offers students 13 lectures on the fundamentals of reinforcement learning and planning in sequential decision problems, as well as more advanced topics and modern deep RL algorithms.
https://bit.ly/3BAEdpl
The course offers students 13 lectures on the fundamentals of reinforcement learning and planning in sequential decision problems, as well as more advanced topics and modern deep RL algorithms.
https://bit.ly/3BAEdpl
📚The-Art-of-Linear-Algebra
The-Art-of-Linear-Algebra is a useful resource that features intuitive visualizations of important concepts introduced in "Linear Algebra for Everyone" by Gilbert Strang. Available as a PDF file.
https://bit.ly/3BCr4w3
The-Art-of-Linear-Algebra is a useful resource that features intuitive visualizations of important concepts introduced in "Linear Algebra for Everyone" by Gilbert Strang. Available as a PDF file.
https://bit.ly/3BCr4w3
GitHub
GitHub - kenjihiranabe/The-Art-of-Linear-Algebra: Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone" - GitHub - kenjihiranabe/The-Art-of-Linear-Algebra: Graphic notes on Gilbert Strang's "Lin...
Hello everyone! 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/3v7cHNG
https://bit.ly/3v7cHNG
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.
🎥Graph Neural Network for Lagrangian Simulation
A lecture on Graph Neural Network for Lagrangian Simulation delivered at American Physical Society - Division of Fluid Dynamics Annual Meeting by Zijie Li of Mechanical and AI Lab.
https://bit.ly/30r1n3K
A lecture on Graph Neural Network for Lagrangian Simulation delivered at American Physical Society - Division of Fluid Dynamics Annual Meeting by Zijie Li of Mechanical and AI Lab.
https://bit.ly/30r1n3K
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…
📌Geometric Deep Learning [Course]
GDL is a free course that closely follows the contents of GDL proto-book by Michael M. Bronstein, Joan Bruna, Taco Cohen, and Petar Veličković. All materials and artefacts are publicly available.
https://bit.ly/3FRpDvW
GDL is a free course that closely follows the contents of GDL proto-book by Michael M. Bronstein, Joan Bruna, Taco Cohen, and Petar Veličković. All materials and artefacts are publicly available.
https://bit.ly/3FRpDvW
Geometricdeeplearning
GDL Course
Grids, Groups, Graphs, Geodesics, and Gauges
Hello friends! Data Phoenix team would like to make an announcement. Now, we'll release our weekly digest on Friday. We believe that it'll give you more time to check it out, and we'll be able to provide even more high-quality content to you. Hope you aren't against the change and will love what we have in store for you. So, see you a bit later today!
https://bit.ly/3vsFQmR
https://bit.ly/3vsFQmR
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.
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/3DLEKW8
https://bit.ly/3DLEKW8
Data Phoenix
Data Phoenix Digest - ISSUE 27
Data Science automation is here, EU gets closer to banning facial recognition, serving ML Models in production, localizing objects with self-supervised transformers and no labels, courses, videos, tools, jobs, and more ...
⚡️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) Computational Materials Scientist AI / ML - Exabyte.io, San Francisco, Remote
https://bit.ly/3p5mpiE
2) Data Scientist Demand - TripAdvisor, Paris, France
https://bit.ly/2YOnikx
3) Marketing Data Scientist - Intercom, Dublin, Ireland
https://bit.ly/3mYJy3J
4) Data Scientist II - AWS, Seattle, Washington
https://bit.ly/3mYJyAL
5) Sr Data Scientist, Machine Learning - Coursera, Canada (Remote)
https://bit.ly/3lLp4fa
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) Computational Materials Scientist AI / ML - Exabyte.io, San Francisco, Remote
https://bit.ly/3p5mpiE
2) Data Scientist Demand - TripAdvisor, Paris, France
https://bit.ly/2YOnikx
3) Marketing Data Scientist - Intercom, Dublin, Ireland
https://bit.ly/3mYJy3J
4) Data Scientist II - AWS, Seattle, Washington
https://bit.ly/3mYJyAL
5) Sr Data Scientist, Machine Learning - Coursera, Canada (Remote)
https://bit.ly/3lLp4fa
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!
Good morning! Hope you have a great weekend! Here's your dose of positivity as always for this Sunday!🤗
https://bit.ly/3pazd7i
https://bit.ly/3pazd7i
📌The Human Regression Ensemble
In this article, Justin Domke plays with the idea that humans can do predictions as well as algorithms for simple tasks. Let's check out what's come out of it!
https://bit.ly/3DLIjvq
In this article, Justin Domke plays with the idea that humans can do predictions as well as algorithms for simple tasks. Let's check out what's come out of it!
https://bit.ly/3DLIjvq
Justin Domke
The human regression ensemble
I sometimes worry that people credit machine learning with magical powers. Friends from other fields often show me little datasets. Maybe they measured the concentration of a protein in some cell l…
⚡️Hey guys! We'd like to start this Monday with a story of Carla Gentry - a Data Scientist and founder of Analytical-Solution.
She is a great example of a strong woman (and we do love that!). Being a single mother of two sons was a challenge, but despite all the circumstances, she was eager to learn and grow. She worked in the Developmental Math Lab her entire tenure with UTC, assisting students with all levels of mathematics. After graduating from UTC with a double major in Applied Mathematics and Economics in 1998, she moved to the Chicago area to start her career in analytics.
During the last 19+ years, she has worked for such companies as Discover Financial Services, J&J, Hershey, Kraft, Kellogg’s, SCJ, McNeil, and Firestone. She says that being called a data nerd is a badge of courage for this curious Mathematician/Economist because knowledge is power and companies are now acknowledging its importance.
https://bit.ly/3AQbKL4
She is a great example of a strong woman (and we do love that!). Being a single mother of two sons was a challenge, but despite all the circumstances, she was eager to learn and grow. She worked in the Developmental Math Lab her entire tenure with UTC, assisting students with all levels of mathematics. After graduating from UTC with a double major in Applied Mathematics and Economics in 1998, she moved to the Chicago area to start her career in analytics.
During the last 19+ years, she has worked for such companies as Discover Financial Services, J&J, Hershey, Kraft, Kellogg’s, SCJ, McNeil, and Firestone. She says that being called a data nerd is a badge of courage for this curious Mathematician/Economist because knowledge is power and companies are now acknowledging its importance.
https://bit.ly/3AQbKL4
💡ResNet Strikes Back: An Improved Training Procedure in timm
In this paper, the authors re-evaluate the performance of advanced ResNet-50 and share competitive training settings and pre-trained models in the timm open-source library.
https://bit.ly/3vkIpHk
In this paper, the authors re-evaluate the performance of advanced ResNet-50 and share competitive training settings and pre-trained models in the timm open-source library.
https://bit.ly/3vkIpHk
📌DVC Alternatives For Experiment Tracking
In this article, the Neptune team explore the experiment tracking tool called Data Version Control (DVC), and also compares and reviews its alternatives to find the best solution available.
https://bit.ly/3vxyVc0
In this article, the Neptune team explore the experiment tracking tool called Data Version Control (DVC), and also compares and reviews its alternatives to find the best solution available.
https://bit.ly/3vxyVc0
neptune.ai
DVC Alternatives For Experiment Tracking
Explore and compare DVC alternatives for ML experiment tracking, including open-source, commercial, and platform-specific tools.
💡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 ...