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/3FpDDgc

💡Instance-Conditioned GAN

GANs can generate photo-realistic images. In this paper, the authors use kernel density estimation techniques to introduce a non-parametric approach to modeling distributions of complex datasets.
https://bit.ly/3Ah8yrh

📌Apache Spark Monitoring: How To Use Spark API & Open-Source Libraries To Get Better Data Observability Of Your Application

In this guide, you’ll learn how to ensure data observability in Spark using Spark’s internal systems like Listener APIs and Query Execution Listeners, and libraries to track data quality metrics.
https://bit.ly/3oK12D9

With a small delay, we are ready to present our weekly issue of the digest! Later but with high quality😉
And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3mA1jpM

P.S. Data Phoenix team appreciates you and thanks to you for being here every week!

💡Fake It Till You Make It

In this research, the AI/ML team at Microsoft demonstrates that it is possible to perform face-related computer vision in the wild using synthetic data alone.
https://bit.ly/3iMferx

​​⚡️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) Computational Materials Scientist AI / ML - Exabyte.io, San Francisco, Remote
https://bit.ly/3lpZyvR
2) Senior Python Developer - VITECH, Lviv, Ivano-Frankivsk, Remote
https://bit.ly/3iLuCEA
3) Postdoctoral Scholar in HPC and AI Performance - Lawrence Berkeley National Lab, Bay Area, California
https://bit.ly/3aqbmrP
4) Senior Data Scientist - Reddit, New York
https://bit.ly/3uUPs9B
5) Data Scientist, Algorithms - Lyft, San Francisco
https://bit.ly/3amD5tn

For the other 5 positions click 👉🏻 https://bit.ly/30aI3HT

​​Good morning everyone! Hope you have a great weekend! Here's your dose of positivity as always for this Sunday!🤗
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

📌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-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

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

🎥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

📌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

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

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

​​⚡️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!

​​Good morning! Hope you have a great weekend! Here's your dose of positivity as always for this Sunday!🤗
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

​​⚡️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

💡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

📌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