爱可可老师今日视野(2019.1.15)

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]2019 Microsoft AI Residency Program - Cambridge UK in Cambridge, Cambridgeshire, United Kingdom | Engineering at Microsoft
• [AI]Authenteq raises $5 million for blockchain identity verification
• [AI]Digital Transformation Won’t Replace Humans | Industrial Equipment News (IEN)
• [AI]Fintech in Russia continues to grow, but outlook is mixed
• [AI]Flir’s Automotive Development Kit taps thermal imaging to improve driverless cars
• [AI]Formiche in ospedale S.Giovanni Bosco a Napoli, possibile chiusura reparti - Salute & Benessere
• [AI]How AI Continues to Open Opportunities Within the Healthcare Industry
• [AI]How leadership training is retooling for the brave new world of work
• [AI]Research Participant Portal
• [AR]#050: The Growth and Success of VR/AR/MxR in Health
• [AR]AR Smart Glasses For MRO Moving Ahead
• [AR]CES 2019: AR Navigation Overlays Directions Onto Roads | Digital Trends
• [AR]Delivering first-class digital user experience a big CIO goal in 2019
• [AR]Fashion comes first with Waterloo-based North's Focals AR glasses
• [AR]Lethbridge College Launches Virtual Reality Book Club
• [AR]Mimesys Brings Its Version of Augmented Reality Video Calling to Magic Leap via Intel RealSense
• [AR]PlugXR Announces Augmented Reality Creator (Beta) to Create Fastest Mobile AR Apps for Free
• [AR]r/augmentedreality - Trying to make An Augmented Reality Web Browser
• [AR]Will Release 16 Deliver the Full Ambition of 5G? - VanillaPlus - The global voice of Telecoms IT
• [DL]Advanced cross-validation tips for time series
• [DL]Amii Journal | Alberta set to welcome next generation of AI experts
• [DL]Anna Scaife
• [DL]Artificial intelligence helps diagnose eye disease
• [DL]Bringing the question of AI into schools
• [DL]Ch:14 General Adversarial Networks (GAN’s) with Math.
• [DL]Challenges in Few-shot learning; 2019 predictions; JAX; Explainable models; MT reading list; Foundations of ML; AI Index 2018; Karen Sparck Jones; Analysis methods survey; ICLR 2019 rejects
• [DL]ChinAI #43: ChinAI as Two Kung-fu Styles (the Sword and the Qi)
• [DL]CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
• [DL]Deep Learning for Anomaly Detection: A Survey
• [DL]Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems
• [DL]Deep Learning Powers Drug Discovery for Rare Diseases | NVIDIA Blog
• [DL]Deep Learning Summit: Which Sessions Are Right for You?
• [DL]Designing neural networks through neuroevolution
• [DL]Dr. Data Show Video: Why Ice Cream Is Linked to Shark Attacks – Correlation/Causation Smackdown - Predictive Analytics Times - machine learning & data science news
• [DL]Explainability V/s Interpretability In Artificial Intelligence
• [DL]High-performance medicine: the convergence of human and artificial intelligence
• [DL]How AI Will Find You In the Crowd, Without Facial Recognition
• [DL]How AI, Deep Learning, Predictive Analytics and Digital Twins will Bring an Era of Personalized Care | Analytics Insight
• [DL]How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach
• [DL]How to Learn Python in 30 days – Data Science Central
• [DL]Influencing mainstream software—Applying programming language research ideas to transform spreadsheets - Microsoft Research
• [DL]Machine Learning in Python - PyImageSearch
• [DL]Major Upgrade – Data Science Central
• [DL]ML advances on GCP in 2018 – Fourcast — Premier Google Cloud Partner – Medium
• [DL]Most downloaded preprints of 2018
• [DL]Next-level autonomous shopping carts are even smarter
• [DL]NLP in News Feeds
• [DL]Nvidia opens robotics research lab in Seattle
• [DL]Part 6 – Data Science Central
• [DL]Premiers retours du CES 2018
• [DL]PyTorch Crash Course, Part 2 – Manning Publications – Medium
• [DL]Pytorch Introduction - How to Build Quick and Accurate Neural Networks
• [DL]r/MachineLearning - [P] AiFiddle: a Web GUI to Build, Visualise and Share Deep Learning Models
• [DL]Reconciling deep learning with symbolic artificial intelligence
• [DL]Retrieving Similar E-Commerce Images Using Deep Learning
• [DL]Ridge and Lasso Regression: A Complete Guide with Python Scikit-Learn
• [DL]Ronald van Loon on Twitter
• [DL]Seminal deep learning papers
• [DL]SenseGAN
• [DL]SHAP and LIME Python Libraries: Part 2 - Using SHAP and LIME
• [DL]The Hundred-Page Machine Learning Book: Andriy Burkov: 9781999579500: Amazon.com: Books
• [DL]The Weaponization Of Artificial Intelligence
• [DL]Three Steps You Can Take to Protect Your Critical Assets
• [DL]Training YOLOv3 : Deep Learning based Custom Object Detector
• [DL]Using the latest advancements in deep learning to predict stock price movements
• [DL]What’s coming in TensorFlow 2.0 – TensorFlow – Medium
• [DS]Airline Data Breaches Worrying - CPO Magazine
• [DS]Calculating A Running Total With SQL
• [DS]Developing with AWS Workshop - CGC, Landran
• [DS]Fake data science
• [DS]Java /Big Data Developer at UST Global (Philadelphia, PA)
• [DS]Keeping Your Job in the Age of Automation
• [DS]Making sense of the METS and ALTO XML standards
• [DS]R Programming for Statistics and Data Science
• [DS]The Emotional Side of Learning Data Science
• [DS]XmR Chart | Step-by-Step Guide by Hand and with R
• [DV]A Look Back on 2018: Part 1
• [DV]Data + Women SG; Viz for Social Good Hackathon
• [DV]Fourier Transforms
• [DV]Fundamentals of Data Visualization
• [DV]Interactive Data Visualization for the Web
• [DV]Power BI vs. Tableau: Clash of the Titans
• [DV]r/dataisbeautiful - Global Temperature Ten Year Linear Trends [OC]
• [DV]Visually Blog The Graphic Continuum
• [IoT]Frankie Wallace: How The Internet Of Things Is Changing The Gaming Industry
• [IoT]H&D Wireless Receives Order for Revolutionary EU Project for Osteoarthritis Treatment-order ...
• [IoT]Internet of Things (IoT) in Healthcare Market Size, Future Forecasts, Market Status, and Industry ...
• [IoT]Internet Of Things Webinar - ISOC Botswana on Livestream
• [IoT]Neil Sequeira: How Digital Twins Can Help Retailers Give More to Food Banks
• [IoT]Scope of Internet of Things in K-12 Culture
• [IoT]Sensors in Internet of Things (IoT) Market Size, Share, Growth, Segment and Forecast 2019 with ...
• [IoT]UK Sentences Man for Mirai DDoS Attacks Against Liberia
• [ML]20 Things to Know About Artificial Intelligence for Supply Chain Management | Logistics Viewpoints
• [ML]2019: The year of edge data centres, AI, and work/life balance
• [ML]5 Important Augmented And Virtual Reality Trends For 2019 Everyone Should Read
• [ML]A Gentle Introduction to Exploratory Data Analysis – Towards Data Science
• [ML]AgilOne Announces Customer Data Platform Update with New Features
• [ML]AI Technology VS AI Solutions – James Whelan – Medium
• [ML]Amalgam Insights 2019 Research Agenda for Enterprise Training and Learning Development
• [ML]AMI Residency Part 1 : Exploring (word) space, projecting meaning onto noise, learnt vs human bias.
• [ML]ARC Centre of Excellence for Mathematical and Statistical Frontiers
• [ML]Artificial Intelligence in the Classroom: Q&A With Michelle Zimmerman
• [ML]Basic Recipes
• [ML]Big data analytics in manufacturing: How do we leverage existing data? - THRIVE Europe
• [ML]BIG DATA HADOOP Online Training | HADOOP Course from India | Online IT Guru
• [ML]Building a Data-Driven Culture - DataCore Software
• [ML]CES 2019: This Genius New Baby Monitor Called Miku Makes the Nursery Smarter | Digital Trends
• [ML]Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification
• [ML]Cloudera and Hortonworks Complete Merger, Creating Big Data’s Biggest Deal [MondayMusings]
• [ML]Context Aware Machine Learning
• [ML]Coursera course on causal inference from Michael Sobel at Columbia « Statistical Modeling, Causal Inference, and Social Science
• [ML]Cover Your Assets: The Rise Of The Super-Intelligent Supply Chain
• [ML]Credit Card DataSet
• [ML]Dow Jones' DNA platform produces big data for machine learning
• [ML]End To End Guide For Machine Learning Project
• [ML]Engagement Labs Analytics About Value of Consumer Conversations Published in MIT Sloan Management Review
• [ML]Episode 25, Building Up The City Beautiful
• [ML]Facebook Advertising: 5 Things You Must do Before Buying One Ad |
• [ML]Global Big Data Conference
• [ML]HighJump Digitally Transforms Retail with Supply Chain of the Future at NRF 2019
• [ML]How AI Predictive Technologies Affect Your Everyday Life
• [ML]How Data Science is redefining the Job Roles as we know them? – Stay Awaken
• [ML]How I Classified Images With Recurrent Neural Networks
• [ML]How is machine learning used in finance? – Visionet Systems – Medium
• [ML]How your voice hides clues about your love life
• [ML]Human-Centered Machine Learning Perspectives Workshop.
• [ML]IBM announces cloud service to help businesses detect and mitigate AI bias
• [ML]Introduction to Object Detection | Machine Learning | HackerEarth Blog
• [ML]Is AI the future of medicine? - Pharmafield
• [ML]ITSM Powered With AI - DZone AI
• [ML]JDA and Panasonic Partner to Co-Innovate on Integrated Digital Supply Chain Technology Solutions
• [ML]JDA Luminate Store Optimizer Enhances In-Store Experience with New Collaboration Capabilities
• [ML]Leveraging the Cloud for Analytics and Machine Learning
• [ML]Machine Learning Automation Toolbox (MLaut)
• [ML]Mathematicians Discovered a Computer Problem that No One Can Ever Solve
• [ML]Mathematics for Data Science – Towards Data Science
• [ML]Modern Approaches for Sales Predictive Analytics
• [ML]Neural networks are famously difficult to interpret
• [ML]NICE Presents New Ways to Accelerate Digital Transformation Success via Analytics, Artificial Intelligence and Cloud in Upcoming Webinar Series
• [ML]NLP - Natural Language Processing with Python
• [ML]Novel artificial intelligence tool can predict how flu spreads
• [ML]On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator
• [ML]Over 70% of Firms Look to Deploy AI and Hike Spending: Tabb Group
• [ML]Privacy in the age of medical big data
• [ML]Programming Languages Most Used and Recommended by Data Scientists
• [ML]r/MachineLearning - [D] Truncated backpropogation through time question.
• [ML]r/MachineLearning - [R] Sample Efficient Adaptive Text-to-Speech
• [ML]r/MachineLearning - [R] Watch Your Step: Learning Node Embeddings via Graph Attention (NeurIPS 2018)
• [ML]Red flags in data science interviews – Towards Data Science
• [ML]Serverless computing: one step forward, two steps back
• [ML]Six Trends in IoT and Edge Computing to Track in 2019 - Hortonworks
• [ML]Storm, Spark, and Hadoop - Three Frameworks Comparison
• [ML]The Artificial Intelligence Gap Between Megabanks, Community Banks And Credit Unions
• [ML]The Ihaka Lectures 3: Rise of the Machine Learners - Biased and Inefficient
• [ML]The most powerful person in Silicon Valley
• [ML]The State of ETL: Traditional to Cloud - DZone Big Data
• [ML]This is the first truly great Amazon Alexa and Google Home hack
• [ML]Three common machine learning misconceptions
• [ML]Thresholding OpenCV Python Tutorial | Codeing School
• [ML]Top Active Blogs on AI, Analytics, Big Data, Data Science, Machine Learning – updated
• [ML]Top Sources For Machine Learning Datasets – Towards Data Science
• [ML]Using AI and Time Series Machine Learning for Demand Forecasting
• [ML]Video: Five Things to Know About SUSE Linux Enterprise for HPC - insideHPC
• [ML]What It’s Like to Be A Woman On the Internet – NewCo Shift – Medium
• [ML]What serverless architecture really means, and where servers enter the picture
• [ML]Workshop on Machine Learning for Network Data
• [ML]“Above the Trend Line” – Your Industry Rumor Central for 1/14/2019 - insideBIGDATA