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D2iQ recently released version 2.0 of the D2iQ Kubernetes Platform (DKP), a platform to help organizations run Kubernetes workloads at scale. The new release provides a single pane of glass for managing multi-cluster environments and running applications across any infrastructure including private cloud, public cloud, or at the network edge. By Mos
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What is NLP? How do we perform NLP? Just started with the SpaCy package? Here is a complete guide on performing NLP and its associated concepts. Photo by Glen Carrie on Unsplash COVID-19 has affected the lives of many through losing beloved ones, being laid-off from jobs, and social distancing from the world. However, during the digital era, people ...
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Text classification and machine learning with Javascript: Natural.js, Brain.js, TensorFlow.js.Read the full story ...
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I applied for Artificial intelligence & machine learning course in my college nd im stressed coz of this.. everyone says machine learning is tough , difficult.
I want to know basics about this course , so that I can motivate myself to learn more
Hope I can something from u guys ! ...
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Photo of Max Fischer from Pexels Goal: This article gives an introduction to vectors, vector operations and their applications in the field of data science Why you should learn it: It is the basis for almost all machine learning techniques to learn from data whether it is predicting, classification or clustering Table of Contents: What is a vector? ...
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SEAL Link Prediction, Explained Deep dive into the SEAL algorithm on toy data Graph Neural Networks (GNNs) have become very popular in recent years. You can do many things with them, like node label prediction, graph prediction, nodes embedding, link prediction and so on. This article aims to explain how SEAL (Subgraphs, Embeddings and Attributes f ...
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Hello, I'm a physics student looking to learn machine learning for physics-related work.
I must admit my math is slightly weak, given I focused less on data analysis and more on solving specific physics problems that needed limited amount of equations and formulaes.
How do I build my understanding and problem solving skills in data analyis, p ...
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How a mixture of two powerful random processes can be used to model time series data A Poisson Hidden Markov Model uses a mixture of two random processes, a Poisson process and a discrete Markov process, to represent counts based time series data. Counts based time series data contain only whole numbered values such as 0, 1,2,3 etc. Examples of suc ...
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A Nontrivial Elevator Control System in a Train Station by Reinforcement Learning Why elevators in train stations are different and how RL can optimise the overall service quality Elevator on the platform of the railway station in Ningbo China Motivation Today’s urban life is out of imagination without the presence of elevators and the elevator con ...
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Hey guys I'm a few months into my coding journey. I know Python rather well and am now midway through the first course on fast.ai.
My career goal is to be able to work with and develop artificial intelligence. However, I am in need of a job as soon as possible. And since I kn ...
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The recent QCon Plus online conference featured a panel discussion titled "ML in Production - What's Next?" Some key takeaways were that many ML projects fail in production because of poor engineering infrastructure and a lack of intra-disciplinary communication, and that both model explainability and ML for edge computing are important technologie
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In the podcast, Meenakshi Kaushik and Neelima Mukiri from the Cisco team speak on responsible AI and machine learning bias and how to address the biases when using ML in our applications. By Meenakshi Kaushik, Neelima Mukiri
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Hey guys, I'm just beginning to learn about machine learning, and there is something I am confused about. I am confused about the usage of the word "algorithm" in the context of machine learning, because as with what I learned, an algorithm means a step-by-step instructions to perform a task that takes some input and produces an output. In machine ...
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Yannic Kilcher's thoughts on the 2021 NeurIPS reviewer experiment: https://www.youtube.com/watch?v=DEh1GR0t29k
Frankly, I agree with him completely. The review process is completely broken and arbitrary. Yes, phenomenal papers get accepted; but this is a given, and phenomenal papers will get traction whether they are published at a peer-reviewed ...
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Hello guys, I am trying to figure out long term goals for myself as I feel that I reached some plateau as senior ML engineer. I was wondering what other people in the field long term career goals were ? ...
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We just launched a new open source Python library to help in **optimizing** Transformer model inference and prepare **deployment in production**.
It’s a follow up of a proof of concept shared
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