Hi guys,

I wanted to show you piece of a project I’ve been working on during my AI Residency in Tooploox. It is an adaptation of flow-based models to point cloud generation. Our work is based on the Real NVP (https://arxiv.org/abs/1605.08803).

One of the pros of our model is that we are able to obtain representation of point clouds which we can freely interpolate. Check out this video for visual.

In the blog post I wrote about basic concept of the project and my European AI Residency Experience.

We will be releasing paper on arXiv with code soon. Feel free to ask any questions.

Michał

We all are living in a period of DEVELOPING. According to Eric Schmidt – “Machine Learning is the future of technology”. It is the major component of Artificial Intelligence. So, is it true that machine learning influences the performance of the business?

All your questions and doubts are answered in this article, you find three types of machine learning that useful to your business and the top 5 types of Machine learning Algorithms to make yourself more familiar with the concept of ML.

Introduction to Machine Learning

No doubt, machine learning has become a diverse business tool to enhance the numerous elements of business operations. Machine learning- “it is the method of data analysis which automates the analytical model.” As well as it is a branch of artificial intelligence based on the idea that the system can learn from data, identify the pattern and make decisions with minimal human interference.

Machine learning (ML) is the scientific study of algorithms and statistical models that the computer system used to perform a specific task without using explicit instructions, replying on pattern and inference instead. It is also a subset of artificial intelligence. -via Wikipedia

If you’re a beginner, machine learning can be confusing for you– how to choose which algorithms to use, from the apparently limitless options, and how to know which one will provide the right predictions (data outputs). The machine learning is a way for computers to run various algorithms without direct human oversight in order to learn from data.

Machine learning can include a variety of tasks in order for the machine to determine a high-probability result for different information, such as the functions between input and output or the hidden structures in unlabeled data.

So, just before starting with Machine learning algorithms, let’s have a look at types of Machine learning which clarify these algorithms.

For more details, you can see this ref link:- https://codersera.com/blog/5-types-of-machine-learning-algorithms-you-should-know/

Hello! I’ve heard a lot about China trying to become a leader in machine learning and AI in general. A lot of research papers comes from China, a lot of Chinese scientists contribute to research in other countries. I often get Chinese articles when I google some question related to ML, although I live in Eastern Europe. I also saw a few articles about learning Chinese for ML and DL. So I begin to wonder, is it worth learning Chinese to advance in ML more quickly, get more info and maybe read untranslated Chinese research papers? What do you think about this? Did anyone learn Chinese for similar purpose – to have more opportunities to learn about new ML techniques etc. – and what was the outcome?

I played for a bit a while go; it was extremely unstable and would crash randomly.

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Has any one tried it recently? Is it usable enough for anyone to an extend, for example, training a YOLO network on the COCO dataset?

For Research Engineers. I see lots of interviewing details shared for DeepMind, but none for DeepMind for Google (DMG). It seems that DMG is pretty independent and their interview process is different than regular DeepMind. Any tips or details anyone can share?

I’m working on a project with a speech transcription component. I tried using AWS and Azure speech recognition services and they are shockingly inaccurate. Can anyone recommend something better? Or is this just not possible yet.

What I tried:

https://azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/

https://aws.amazon.com/transcribe/

Thanks!