state of the art in #machinelearning 
we invite you to read the articles at:
🟠 https://medium.com/mlearning-ai
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Turing's Nose

Antonio is a data scientist and solution engineer
A detail oriented professional with 10 years’ experience, with in depth knowledge of data science and business analytics. Proven expert who contributed to various projects.
We have a real conceptual change for the approach to health, The addition of new technologies has brought many opportunities. Technology is more widely used to treat diseases and diagnose and treat people.
Our lives are digital because we interact with digital objects as often as not, and these are always online. Technology has a significant impact on our health.
Thanks to digital health, many diseases can be virtually cured as never before
Health apps are on the rise. But only a few of them have been deemed reliable and certified to provide real digital therapies.
The new paradigm is to change the perspective from the patient to the individual consuming health.
An excellent article that elates readers interested in health
We recommend the article by Antonio Castiglione in MLearning.ai

🟠 https://medium.com/mlearning-ai
🔵 https://medium.com/mlearning-ai/digital-health-a-revolution-bd5f7f89a0ad

state of the art in #machinelearning

Digital Health a revolution, an article by Antonio Castiglione

VR data science, an article by Graham Waters

The article by Graham Waters talks about augmented reality data exploration. This is a new form of data visualization that allows for greater insight into the data. It can be done with either AR or VR, which leads to different types of insights depending on the specific software being used. 

This article covers 3 companies in this new field: BadVR, Virtualitics, and 3Data. 

All three have innovative ideas and interesting ways for people to experience their data in a new way. While AR and VR are still in their infant stages for data visualization, it is already being explored by companies and is only going to grow more popular as time goes on. This article covered the benefits of this new data visualization method can be for businesses, as well as the different ways in which it can be done. It is a great new way to look at some of the data that we have, and it can help lead to greater insights than just looking at a 2-dimensional computer screen.

We recommend the article by Graham Waters in ML earning.ai

🟠 https://medium.com/mlearning-ai
🔵 https://medium.com/mlearning-ai/exploring-the-dataverse-through-a-virtual-reality-windshield-92a4a82e3be3

state of the art in #machinelearning

Exploring the Dataverse through a Virtual Reality Windshield

Why you shouldn't get into the AI industry in 2021
Do you want to get into the AI industry? 

Review of an article by David Chong
David is AI Engineer, Masters in AI, Avid investor.

Why you shouldn’t join AI
You want to get rich.
Let’s get the elephant out of the room. As the words “Artificial Intelligence” and “Machine Learning” get plastered all over the media with governments, public agencies and even large corporates advocating for and/or incorporating AI into their business one way or another, it’s hard not to imagine that the industry is flushed with hot money. Let’s be honest — it is.

🟠 https://medium.com/mlearning-ai

🔵 https://medium.com/mlearning-ai/why-you-shouldnt-join-the-ai-industry-in-2021-61f7c6893ed0

State of the art in #machinelearning

Why You Shouldn’t Join AI

The Future Of Telling Stories
How do millennials respond to AI content?

#Artificialintelligence (AI) is the future. And now, it can also create content that humans love.
Working as a one-woman operation, I can crank out enough content at lightning speed to please my boss and beat my competitors. But more importantly, I'm the voice behind every post on your favorite blogs and companies' social media accounts.
My millennial roommate wants me to create content for her blog too - and she'll pay me way more than anyone in this industry has been getting for years! Who needs sleep when you can stay up all night blogging about Beyonce's new album?
I know what you're thinking: "But aren't all content creators created by AI? Yes, the machines are getting better at it. But I don't need to bother with finding and screening decent writers. There are plenty of algorithms that can do that."

🟠 medium.com/mlearning-ai

🔵 https://evartology.medium.com/how-ai-creates-content-that-humans-love-7b3da0194a35

State of the art in #machinelearning

How AI Creates Content That Humans Love

SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0), and by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists), the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• About the PyTorch library [03:29]
• Why PyTorch became so popular [25:24]
• How to increase accuracy and efficiency in PyTorch [31:49]
• How to utilize transfer learning [35:44]
• Why real-world projects are essential to data scientists [41:10]
• About Datablooz [46:49]

Additional materials: www.superdatascience.com/819

The Super Data Science Podcast: Machine Learning | AI | Success

819: PyTorch: From Zero to Hero, with Luka Anicin

In this episode of the SuperDataScience Podcast, I chat with the Deep Learning Expert Hadelin de Ponteves. You will be able to have a look at the 6 supervised and unsupervised deep learning models, learn the idea to the question: why deep learning instead of machine learning, and discover TensorFlow and PyTorch as the two major tools in Deep Learning.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/47

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 047: An Expert Overview of the Deep Learning Models, Supervised and Unsupervised

Deep JaZZ CNN LSTM

Deep Orb is a project about computers learning how to make music. The core approach to that is Recurrant neural network based learning models are used to teach powerful GPU based systems to compose, choose instuments, genres and ultimately produce complete musical works.

This project is completely free and non commercial. If you like what we are doing please donate to fund the project.

24/7 deep learning based Internet radio station 
https://deeporb.net

How this was made:
https://youtu.be/yxIu0tAH0zk

Deeporb - 01 Mozart Beethovan R1 Session 2020 - 08 - 21 20.53

Data Scientists must think like an Artist //
MLart solutions for the creative industries #TechCult 
State of the art in #machinelearning

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Popular tracks tagged #pytorch