|
|
May 12 · Issue #14 · View online
A weekly digest of all the best Data Science related news and blog posts.
|
|
Welcome to this week’s installment of my curated list of all the best data science related news and blog posts. Let’s get this partY started! 🎉🎉🎉 – Luis de Sousa
|
|
Inspired by the keynote w Google assistant calling a hairdresser to book an appointment.
|
|
Microsoft Build 2018
All the MS Build 2018 session recordings are up here and most can be downloaded already.
|
Google I/O 2018
This playlist contains every session from Google I/O 2018.
|
|
Azure Machine Learning Packages for Vision, Text and Forecasting in Public Preview
Use the links below to learn more about Azure Machine Learning Packages today:
|
AI news from Microsoft’s Build developers conference
From a suite of pre-trained models from Microsoft Cognitive Services to new Azure SDKs, here are all the AI announcements from Microsoft Build 2018.
|
Azure Machine Learning, JavaScript Custom Functions, and Power BI Custom Visuals Further Expand Developers Capabilities with Excel
Excel Adds JavaScript and Power BI Support!!
|
|
AI Show
The AI Show on Microsoft’s Channel 9 dropped 19 new videos this week. Some of the topics covered are: Language Understanding Service (LUIS) and Bot development.
|
|
Learning to Teach
“In this Reinforcement Learning approach, two intelligent agents interact with each other: 👩🎓a student model (the learner); and 👩🏫a teacher model (which determines appropriate data, loss function, and hypothesis space to facilitate optimally training the student model).”
|
Infrastructure for Usable Machine Learning:
The Stanford DAWN Project
DAWN is a five-year research project to democratize AI by making it dramatically easier to build AI-powered applications.
|
This AI Learns From Its Dreams
|
This AI Reproduces Human Perception
The paper “The Unreasonable Effectiveness of Deep Networks as a Perceptual Metric” is available here.
|
|
Microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK project of Microsoft.
|
roytseng-tw/Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
|
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs.
|
|
The Fourth Industrial Revolution: Klaus Schwab
“Professor Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, has been at the center of global affairs for over four decades. He is convinced that the period of change we are living through is more significant, and the ramifications of the latest technological revolution more profound than any prior period of human history. He has dubbed this era the fourth industrial revolution. Crowdsourcing ideas, insights and wisdom from the World Economic Forum’s global network of business, government, civil society and youth leaders, this book looks deeply at the future that is unfolding today and how we might take collective responsibility to ensure it is a positive one for all of us.”
|
|
Thanks for reading. As always, let us know if you have any questions or suggestions, just hit reply, click the thumbs up or thumbs down icons below or send me an email at luisd@syeop.co.za. xoxo
|
Did you enjoy this issue?
|
|
|
|
In order to unsubscribe, click here.
If you were forwarded this newsletter and you like it, you can subscribe here.
|
|
Johannesburg, South Africa, 2020
|