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A cloud-native machine learning platform was built based on WeDataSphere sewage is and KubeSphere

Hello, KubeSphere open source community. I was Ke Zhou, an engineer at WeBank's big data platform. I went on to tell you that I took the connection to the sewage is a cloud-native machine learning platform based on the products of two open source communities -- WeDataSphere and KubeSphere. First I took the connection to the sewage...

Teach you how to build a caffe by hand and how to recognize handwritten numbers.

Time: November 9, 2016 communication: Deep learning practical communication Q group 472899334, if you have questions, you can add this group to communicate together. To explore the principles behind experiments, see deep Learning Online. In the previous tutorial, we built TensorFlow, Torch, released the tutorial...

Must read AI and deep learning blog

Here are a few blogs about AI and deep learning. This is a fact that John E. Kelly, senior vice president of Cognitive Solutions and IBM Research, highlighted at a 2016 conference organized by Yann Lecun, one of the most prominent ai enthusiasts. There is no doubt that AI is driving the next technological revolution. All...

Take the water Margin as an example to learn the hidden Markov model

This paper will try to explain the HIDDEN Markov model in an understandable way and do not involve mathematical formulas as much as possible. Instead, from the perspective of the overall thinking, it will use perceptual and intuitive thinking to explain the hidden Markov model. And from the classic to find a specific application scenarios to help you in-depth this concept. In the process of machine learning, you will encounter a lot of obscure concepts, related mathematical formulas, it is very difficult for you to understand. In situations like this, we should always rely on intuition...

Machine Learning Tips by Andrew Ng

As the title suggests, this book focuses on techniques and considerations in machine learning training, including how to set up training sets and test sets, and how to deal with bias and variance problems. The contents are as follows: however, the current Chinese translation is not the final version, if you find problems, you can go to Github to help fix. I can also reply "MLY" on the background of my official wechat account...

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