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painful

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arxiv.org 7y ago

Nature-Inspired Optimization Algorithms

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3pts0
arxiv.org 7y ago

Neural Network Models and Deep Learning – A Primer for Biologists

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freenode-machinelearning.github.io 7y ago

List of review articles on ML and AI that are on arXiv

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arxiv.org 7y ago

Combating Fake News: A Survey on Identification and Mitigation Techniques (2019)

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arxiv.org 7y ago

Deep Learning in Spiking Neural Networks (2018-2019)

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arxiv.org 7y ago

A Survey of Recent Architectures of Deep Convolutional Neural Networks (2019)

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arxiv.org 7y ago

A Survey on Automated Machine Learning (2018-2019)

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arxiv.org 7y ago

Optimization Models for Machine Learning: A Survey (2019)

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arxiv.org 7y ago

Hybrid Recommender Systems: A Systematic Literature Review (2019)

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arxiv.org 7y ago

Deep Learning for Anomaly Detection: A Survey (2019)

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arxiv.org 7y ago

NLP for Fake News Detection (2018)

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arxiv.org 7y ago

Fake News: A Survey of Research, Detection Methods, and Opportunities (2018)

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arxiv.org 7y ago

Guide to Bayesian Convolutional Neural Network with Variational Inference (2019)

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arxiv.org 7y ago

Deep Learning in Android Malware Detection (2018)

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arxiv.org 7y ago

Deployment of Deep Learning Models on Smartphones as Apps (2019)

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www.nature.com 7y ago

Learnability can be undecidable

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arxiv.org 7y ago

Deep Learning on Graphs: A Survey (2018)

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arxiv.org 7y ago

Graph Neural Networks: A Review of Methods and Applications

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arxiv.org 7y ago

Face Recognition: A Novel Multi-Level Taxonomy based Survey

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arxiv.org 7y ago

Brief Review of Computational Intelligence Algorithms (2019)

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arxiv.org 7y ago

A Comprehensive Survey on Graph Neural Networks (2019)

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freenode-machinelearning.github.io 7y ago

Show HN: ArXiv review papers in machine learning and AI from 1994 to 2018

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freenode-machinelearning.github.io 7y ago

ArXiv review papers in machine learning and AI from 1995 to 2018

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I agree with the part that says Agile (and Scrum in particular) is drinking the koolaid. Managers who don't themselves write any code, but micromanage their workers with their version of Scrum, are the worst.

This seems like a narrowly thought out proposal. Contrary to what Wikimedia may think and see today, Wikipedia is not the future. The future is something closer to robotopedia or machinepedia or autowikipedia, if you get what I'm saying. The name Wikimedia is fine.

I have seen the future, and there is no place for human writers in it.

I recommend against using Zeit. I tried their offering this year and it was too much in beta. I honestly couldn't even get a basic service deployed because my defined dependencies wouldn't install. My web service deployed fine using the serverless offering of another cloud that I won't name, although it was not AWS. As a disclaimer, I have no conflict of interest.

Granted it's an opinion, but if you've been through as much scrum as I have, especially if you're a senior developer, you'd know it's a true article.

I'd say managers and crappy team leads are the problem. They're often asking the developer to deliver code that is not quite ready or adequately tested. I admit though that the absence of senior engineers who perform an unforgiving code review is also a problem.

Thanks, but using "WTF" in a title is unprofessional. If you wouldn't include it in the title of a research publication, you probably shouldn't include it in a TDS article either. After all this isn't your personal blog that you've published it on. I'm writing on behalf of the hundreds of users in my community who follow TDS articles; they expect decorum.

I have seen this in a prior article from you too where you used &%$*# in the title. The same logic applies. You say you "want to help", so please do. I am not a prude. I use swear words too, but only when no one else is listening.

Thanks, BTW, to the person who edited the title for us on HN.

I recommend asking the manager to put you on a different project where your code and theirs is completely separate. Moreover, don't even worry about code reviews of their code. This advice is terrible for the company, but it's nearly optimal for you.