爱可可老师今日视野(2019.2.16)

AI - 人工智能；AR - 增强现实；CV - 机器视觉；DL - 深度学习；DM - 数据挖掘；DS - 数据科学；DV - 数据可视化；IOT - 物联网；ML - 机器学习；NLP - 自然语言处理

• [AI]AI bias: It is the responsibility of humans to ensure fairness
• [AI]Andrew Sheng: Artificial Intelligence or Augmented Stupidity?
• [AI]Artificial Intelligence Expert Madhumita Bhattacharyya Joins Protiviti
• [AI]digitaltransformation_2019-02-15_03-28-58.xlsx
• [AI]Guerra sporca contro bimbi, 10 mila morti e feriti nel 2017 - Mondo
• [AI]How learning more about neuroscience might influence development of improved AI systems
• [AI]The convergence of RPA and AI can boost Business Process Automation by CEO Antonio Grasso | EM360
• [AI]Trust is the new Gold! – Ingenuity by Siemens
• [AR]As Apple and Google Compete in Augmented Reality, Each Has Distinct Strengths — TheStreet
• [AR]Augmented Human book — Augmented Stories
• [AR]Augmented Human on Instagram: “Hey @salventius when are you going to make #augmentedreality face filters? Not joking, love your style! 📞 me 😎 Repost @salventius 💄+ 📷 :…”
• [AR]Augmented Reality: Pokémon Go bekommt AR-Fotoapparat
• [AR]Blockchain for Business, Columbia College Chicago Online
• [AR]PodcastOne: Cryptonomics - NEWS SPECIAL
• [AR]Startup Asteroid Aims to Reinvent the Human-Computer Interface with Augmented Reality Software & Hardware Kit
• [AR]To Win and Keep Customers, Focus on the Experience
• [AR]User Experience Considerations for VR & AR Audio
• [AR]WebXR February 2019 Meetup
• [AR]XentStudios takes on the Kitchen & Bath Industry with Virtual Reality and Augmented Reality
• [DL]21 Artificial Intelligence Experts To Follow On Twitter
• [DL]27 Great Resources About Logistic Regression
• [DL]6 keys to improve artificial intelligence for treatment choices
• [DL]7 Articles About Hadoop, IoT, AI, DataViZ, NLP, and Fake News
• [DL]A comprehensive survey on graph neural networks
• [DL]A Guide for Building Convolutional Neural Networks – Towards Data Science
• [DL]AI Can Help Improve Understanding of Earth Science: Study
• [DL]AI Hasn’t Found Its Isaac Newton: Gary Marcus on Deep Learning Defects & ‘Frenemy’ Yann LeCun
• [DL]AI is reinventing the way we invent
• [DL]AI must tackle the sparsity challenge, says LandingAI’s Gopi Prashanth | ZDNet
• [DL]AI, Machine Learning and Data Science Roundup: February 2019
• [DL]An AI algorithm that writes realistic fake news could mass-produce misinformation
• [DL]Artificial intelligence alone won’t solve the complexity of Earth sciences
• [DL]Artificial Intelligence Projects to Be Showcased Friday
• [DL]Artificial Intelligence spotlights the importance of forest communities in afforestation
• [DL]Artificial Intelligence to boost Earth system science
• [DL]Building A SPAM Detector with Naïve Bayes and AdaBoost Machine Learning Classifiers in JupyterLab.
• [DL]contextflow – See beyond a single case
• [DL]Deep Divergence-Based Approach to Clustering
• [DL]Deep Multi-Task Learning – 3 Lessons Learned
• [DL]Designed by A.I.: Your Next Couch, Sweater, and Set of Golf Clubs
• [DL]dmlc/gluon-cv: Gluon CV Toolkit
• [DL]Explainer: The executive order on Artificial Intelligence
• [DL]Facebook Open-Sources PyText NLP Modeling Framework
• [DL]Global Big Data Conference
• [DL]Google Machine Learning Engine
• [DL]GPU Powered: 7 Startups You Won’t Want to Miss at GTC | NVIDIA Blog
• [DL]Here's why Machine Learning is the way to get ahead of your peers
• [DL]How Marketers Can Use Regressions for Better Machine Learning Initiatives
• [DL]How Video Games Help Fuel The Insatiable Demand For Artificial Intelligence
• [DL]Inside Finland’s plan to become an artificial intelligence powerhouse
• [DL]Introducing Uber’s Ludwig – Towards Data Science
• [DL]Is Massively Unsupervised Language Learning Dangerous?
• [DL]It’s time to brush off your Hadoop skills and revisit your science textbooks - JAXenter
• [DL]Key Technologies that are Driving Artificial Intelligence
• [DL]Klimagetriebener CO2-Austausch
• [DL]La revanche du calcul analogique
• [DL]Machine Learning vs. Artificial Intelligence: Definitions and Importance
• [DL]Modern Deep Learning Techniques Applied to Natural Language Processing by Authors
• [DL]On instabilities of deep learning in image reconstruction - Does AI come at a cost?
• [DL]One of the hardest parts of being a data scientist
• [DL]Organic Programming: A New Kind of Programming – Intuition Machine – Medium
• [DL]Q&A with Sam Charrington: Kubernetes for Machine Learning, Deep Learning and AI eBook
• [DL]r/MachineLearning - [D] What is the best implementation/approach of Byte pair encoding?
• [DL]r/MachineLearning - [P] A curated list of deep learning image classification papers and codes
• [DL]Reconfigurable processor for deep learning in autonomous vehicles
• [DL]Research Scientist - Environments, London | DeepMind
• [DL]Sabbatical Reflections | Imperial News | Imperial College London
• [DL]Sight Diagnostics raises $27.8 million to apply AI to blood tests
• [DL]System Architecture | Cloud TPU | Google Cloud
• [DL]The Computing Needs Of Earth Are Not Yet Satisfied
• [DL]The Future of Artificial Intelligence at Scale - The New Stack
• [DL]The Revolutionary Way Of Using Artificial Intelligence In Hedge Funds -- The Case Of Aidyia
• [DL]The Unreasonable Effectiveness of Deep Feature Extraction
• [DL]ThisPersonDoesNotExist.com uses AI to generate endless fake faces
• [DL]Top 5 Healthcare & Medical Research GTC Sessions - NVIDIA Developer News Center
• [DL]Top 5 Public Sector Sessions at GTC 2019 - NVIDIA Developer News Center
• [DL]Top Machine Learning Solutions
• [DL]Uber’s Code-Free Ludwig: Deep Learning for Dummies?
• [DL]Using deep learning for tumor segmentation in medical images
• [DL]Using TensorFlow eager execution with Amazon SageMaker script mode | Amazon Web Services
• [DL]We should treat algorithms like prescription drugs
• [DL]weiaicunzai/awesome-image-classification
• [DL]What is deep learning?
• [DL]What is Machine Learning and What is It Not?
• [DL]Why Randomness should be Embraced and Not Feared – Intuition Machine – Medium
• [DL]Your Top Questions About AI & Machine Learning Answered
• [DS]A preview of MarTech: over 50 in-depth sessions at the intersection of marketing, technology, and management - Chief Marketing Technologist
• [DS]Academics Confirm Major Predictive Policing Algorithm is Fundamentally Flawed
• [DS]AI is best leveraged when it's tied to outcomes - MedCity News
• [DS]An open-rank position in digital sociology
• [DS]Visualization Critique: Giving, Interpreting, and Rejecting
• [DV]4 Principles to Enabling a Pristine Data Lake - RTInsights
• [DV]A Tableau Tip for Tuesday – How to create custom regions - The Data School
• [DV]Chi Data Viz Community on Twitter
• [DV]Design for Understanding
• [DV]Key influencers visualizations tutorial - Power BI
• [DV]The Art of Data Journalism with The New York Times & Financial Times
• [DV]Top Stories, Feb 4-10: Data Scientists: Why are they so expensive to hire?; The Essential Data Science Venn Diagram
• [DV]What makes an active timebank? – Towards Data Science
• [IoT]70 Years of #AI Evolution #MachineLearning #Data #analytics #Tech #IoT #ML #IoT #Digital #BigData #Analytics #Infographic | Artificial Intelligence | Pinterest | Data science, Big data and Data analytics
• [IoT]Battery Dispenser – 36x AAA – Stackable with separate side plates, easier grip , mount holes #3DPrinting #3DThursday
• [IoT]Car Cigarrette Power Box #3DThursday #3DPrinting
• [IoT]Securing the Internet of Things | Global IP & Technology Law Blog
• [IoT]Simon Fraser University: Sustainable electronics manufacturing breakthrough
• [IoT]StarHub banks on enterprise managed services | ZDNet
• [IoT]T:WTF 002 - Practical Insight on Building an IoT Startup with Mark Allewell - ThinkWTF
• [IoT]The Great Public Cloud Correction
• [IoT]Tutorial: Using External Debug Probes With NXP LPC845-BRK Board - DZone IoT
• [IoT]Why SCADA Is Bad for Smart Factories
• [ML]"Official" February 2019 BARUG Meetup
• [ML]5 Important Techniques To Process Imbalanced Data In Machine Learning
• [ML]5 reasons why asset management is a hot topic in 2019 | 7wData
• [ML]A Word from KDD Cup 2019 Organizers
• [ML]A.I. Could Widen Economic Disparity Between Urban And Rural Areas, Brookings Report Warns
• [ML]AI, Analytics and IoT, Oh My! Big growth potential you have!
• [ML]Amnesty International used machine-learning to quantify the scale of abuse against women on Twitter
• [ML]Anodot Named to 2019 CB Insights AI 100 List of Innovative AI Startups
• [ML]Baidu signs comprehensive deal with Ctrip
• [ML]BIG DATA by Basile, our Data Expert
• [ML]Big Data Engineer at Ultra Tendency (Berlin, Deutschland)
• [ML]Cancer prediction tool combines machine learning, radiomics
• [ML]Cloudera CEO Talks Hortonworks Merger, IBM Buying Red Hat, and A.I. Hype
• [ML]Data Analyst resume in New York City, NY
• [ML]Data Science Web Analytics White Paper
• [ML]Data Study Group Final Report: Amnesty
• [ML]Data61 helping NSW predict traffic incidents using artificial intelligence | ZDNet
• [ML]Deep Learning Market Recent Trends, Development,Growth & Forecast 2017-2025 - Cryptocurrency News
• [ML]Designing great data products
• [ML]DevOps Engineer at Ultra Tendency (Riga, Lettland)
• [ML]Digital Transformation, Digital Darwinism, and the Definition of Insanity
• [ML]DKDC Project Accelerator Night
• [ML]Email Spam detection using MACHINE LEARNING
• [ML]EpistasisLab/scikit-mdr
• [ML]Fears of OpenAI’s super-trolling artificial intelligence are overblown
• [ML]Federated Machine Learning: Concept and Applications
• [ML]Google Cloud & NCAA® ML Competition 2019-Women's
• [ML]Hadoop Developer at SoftClouds LLC (San Diego, CA)
• [ML]Here's a new script to find the best text for new ads using an n-gram analysis - Search Engine Land
• [ML]How Machine Learning Can Improve Direct Marketing Results
• [ML]How the digital economy is transforming Canada’s offshore oil and gas industry
• [ML]IBM researchers develop a technique to virtually patch vulnerabilities ahead of threat
• [ML]IIoT will change the way a wide range of verticals do business: View - ET CIO
• [ML]Industrialiser les processus intelligents avec SAP - SAP France News
• [ML]Information Virtualization: Query Federation on Data Lakes
• [ML]Installing CUDA and cuDNN on windows 10 – akshay sinha – Medium
• [ML]Introduction to Azure Data Factory
• [ML]L’IA Watson à l’heure du multicloud
• [ML]matloff/polyreg
• [ML]Micro Focus Completes Acquisition of Interset
• [ML]Most Popular Text Analytics Tools and Algorithms
• [ML]New machine learning algorithm can help search new drugs
• [ML]New machine learning method could spare some women from unnecessary breast surgery
• [ML]NVIDIA Targets Enterprise Buyers as Hyperscale Slumps
• [ML]Open Data Science and ML for Business with Cloudera Data Science Workbench on HDP
• [ML]Paid Program: Humanizing Customer Care
• [ML]Pig welfare and artificial intelligence key at JRP
• [ML]Podcast host Krista Tippett addresses artificial intelligence and the human condition
• [ML]Python Developer at UST Global (Atlanta, GA)
• [ML]r/MachineLearning - [Discussion] OpenAI should now change their name to ClosedAI
• [ML]r/MachineLearning - [P] machine learning and games
• [ML]r/MachineLearning - [P] RobustSTL: Time Series Decomposition into Trend, Seasonality, and Remainder
• [ML]r/MachineLearning - [R] Modern Neural Networks (with conv, (self-)attention, batchnorm, LSTM, etc) become Gaussian Processes when randomly initialized, as their widths grow to infinity.
• [ML]r/MachineLearning - [R] New insights on the simple structure of the loss function reveals why gradient descent can optimize overparameterized neural networks
• [ML]Researchers improve robots’ speech recognition by modeling human auditory processing
• [ML]Roses Are Red, Violets Are Blue, Statistics Can Be Romantic Too!
• [ML]SENIOR HADOOP INFRASTRUCTURE ENGINEER DATA PLATFORM TORONTO ON CANADA
• [ML]Six Advantages of Human-aided, 'Artificial' Artificial Intelligence
• [ML]Special Guests: AI Panel Discussion - Trends and Skills
• [ML]Technology Alliances - Exasol
• [ML]The algorithms! They're manipulating all of us! reckon human rights bods Council of Europe
• [ML]The Complete Web Developer in 2019: Zero to Mastery
• [ML]The intelligent automation journey: a few challenges ahead
• [ML]The intelligent way for HR to use robotics
• [ML]To the Data Day skeptics
• [ML]UW Data Science Seminar
• [ML]We are detailing the systems and hardware we use to power Portal's Smart Camera, an AI-powered system that delivers an immersive video-calling experience.
• [ML]What is the next big thing in AI and ML? – The Launchpad – Medium
• [ML]Why is Python so good for AI and Machine Learning?
• [ML]Working With Time Series Data - Dzone Refcardz
• [ML]Workshop: Introduction to Automatic and Scalable Machine Learning with H2O in R
• [ML]​How to differentiate between AI, machine learning, and deep learning