​AI Scholar

Top Research This Week

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🔗 Gmail
Почта Gmail – это удобный интерфейс, меньше спама и 15 ГБ пространства для писем и файлов. Почта доступна как на компьютерах, так и на мобильных устройствах.

​China Approves Seaweed-based, Gut Bacteria-Targeting Alzheimer’s Drug

https://edition.cnn.com/2019/11/03/health/china-alzheimers-drug-intl-hnk-scli/index.html

🔗 China approves seaweed-based Alzheimer's drug. It's the first new one in 17 years
Authorities in China have approved a drug for the treatment of Alzheimer's disease, the first new medicine with the potential to treat the cognitive disorder in 17 years.

​Getting Specific About Algorithmic Bias - Rachel Thomas

🔗 Getting Specific About Algorithmic Bias - Rachel Thomas
This talk was presented at PyBay2019 - 4th annual Bay Area Regional Python conference. See pybay.com for more details about PyBay and click SHOW MORE for more information about this talk. Description Through a series of case studies, I will illustrate different types of algorithmic bias, debunk common misconceptions, and share steps towards addressing the problem. Original slides: https://t.ly/9gO5k About the speaker Rachel Thomas is a professor at the University of San Francisco Data Institute and co-fo

​The Illustrated GPT-2 (Visualizing Transformer Language Models)

https://jalammar.github.io/illustrated-gpt2/
#ArtificialIntelligence #NLP #UnsupervisedLearning

🔗 The Illustrated GPT-2 (Visualizing Transformer Language Models)
Discussions: Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments) This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays that exceed what we anticipated current language models are able to produce. The GPT-2 wasn’t a particularly novel architecture – it’s architecture is very similar to the decoder-only transformer. The GPT2 was, however, a very large, transformer-based language model trained on a massive dataset. In this post, we’ll look at the architecture that enabled the model to produce its results. We will go into the depths of its self-attention layer. And then we’ll look at applications for the decoder-only transformer beyond language modeling. My goal here is to also supplement my earlier post, The Illustrated Transformer, with more visuals explaining the inner-workings of transformers, and how they’ve evolved since the original paper. My hope is that this visual language will hopefully make it easier to explain later Transformer-based models as their inner-workings continue to evolve.

​Calculating the Backpropagation of a Network

🔗 Calculating the Backpropagation of a Network
A beginner’s guide to the math behind the backpropagation algorithm

🎥 Google BigQuery ML in Tableau
👁 1 раз ⏳ 2797 сек.
Machine learning has been topical in analytics. While powerful, it can also seem a bit nebulous and deter anyone that works with data, given the skill set required to train and create predictive models. This is where Tableau comes in: Pairing Google Cloud’s machine learning feature with Tableau BigQuery connector enables embedded machine learning that helps train models and manipulate parameters easily. We’ll demonstrate with publicly available data and a set of predictors to show how easy it is to see Goog

​Грас Дж. Data Science. Наука о данных с нуля

Наш телеграм канал - tglink.me/ai_machinelearning_big_data

📝 Грас Дж. Data Science. Наука о данных с нуля.pdf - 💾16 984 769

​Business Strategy For Data Scientists: Brand Valuation

🔗 Business Strategy For Data Scientists: Brand Valuation
Learn How To Value Brands And Other Intangible Assets

​Recurrent Neural Networks (RNN) Explained — the ELI5 way

🔗 Recurrent Neural Networks (RNN) Explained — the ELI5 way
Sequence Labeling and Sequence Classification using RNN

​Generating Synthetic Images from textual description using GANs

🔗 Generating Synthetic Images from textual description using GANs
Automatic synthesis of realistic images is extremely difficult task and even the state-of-the-art AI/ML algorithm suffer to fulfil this…

🎥 Dell Technologies: DELL-ving into Machine Learning Based Fraud Detection with Tableau
👁 1 раз ⏳ 1745 сек.
Use Tableau to spot Fraud! This exciting session will illustrate how Tableau brought a critical element of Dell’s Compliance program to life. Learn how we used Advanced Analytics and Machine Learning in Tableau to proactively detect enterprise-wide fraudulent practices within our Travel and Entertainment space. The session will cover data source connections, data visualization best practices as well as creating a culture of analytics and enabling risk management through data analytics.

​Beginning Data Science with Python and Jupyter

Наш телеграм канал - tglink.me/ai_machinelearning_big_data

📝 Beginning Data Science with Python and Jupyter Use powerful industry-standard tools within Jupyter and the Python ecosystem.epub - 💾13 622 286

​Stacked Capsule Autoencoders

https://github.com/google-research/google-research/tree/master/stacked_capsule_autoencoders

paper : https://arxiv.org/abs/1906.06818

http://akosiorek.github.io/ml/2019/06/23/stacked_capsule_autoencoders.html

🔗 google-research/google-research
Google AI Research. Contribute to google-research/google-research development by creating an account on GitHub.

​How To Detect Mean Tweets with Machine Learning

🔗 How To Detect Mean Tweets with Machine Learning
Because everything is offensive nowadays…

​How AI and ML Support Cognitive Collaboration

🔗 How AI and ML Support Cognitive Collaboration
The five phases of assisted AI

​https://vk.com/club188913765 попробуй

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​Knowledge Distillation — A technique developed for compacting and accelerating Neural Nets

🔗 Knowledge Distillation — A technique developed for compacting and accelerating Neural Nets
The recent growth has witnessed a marked up growth in the deep learning industry. With the breakthrough in ImageNet competition in 2012 by…

​Kaggle IEEE-CIS Fraud Detection — Антон Попов

🔗 Kaggle IEEE-CIS Fraud Detection — Антон Попов
Антон Попов рассказывает про соревнование Kaggle The 3rd YouTube-8M Video Understanding Challenge, в котором он вместе с командой занял второе место, и соответственно, заработал золотую медаль и денежный приз. Из этого видео вы сможете узнать: - Как искать magic в табличках - Некоторые способы энкодить кат-фичи - Про валидацию при наличии id и timestamp Узнать о текущих соревнованиях можно на сайте http://mltrainings.ru/ Узнать о новых тренировках и видео можно из групп: ВКонтакте https://vk.com/mltraini