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]5 Fundamental AI Principles - Data Driven Investor - Medium
- [AI]Creating a Zoo of Atari-Playing Agents to Catalyze the Understanding of Deep Reinforcement Learning
- [AI]Ensure Maximum Profit from Your Next Digital Marketing Campaign
- [AI]Less than 10% South Asian homes have an IoT device
- [AI]New form of computer memory is 1,000 times faster
- [AI]Opening Up The Edge: Why Agnostic Cloud Software Is The Key To Edge Computing
- [AI]Re-inventing Zim through fourth industrial revolution - The Zimbabwe Independent
- [AI]Sony unveils WF-1000XM3 truly wireless noise-cancelling earbuds
- [AI]The Amazing Ways Artificial Intelligence Is Transforming The Music Industry
- [AR]2019: The Year of the Big Pivot Towards Enterprise AR/VR - BrainXchange
- [AR]Apple Design Chief Jony Ive’s Exit Offers Another Clue About Company’s Rumored Augmented Reality Smartglasses
- [AR]AR Journalism: Homeless Realities AR experiences
- [AR]AREA Research Committee Webinar | Current AR Research Projects - AREA
- [AR]Augmentors Augmented Reality Game - Wikitude Showcase
- [AR]Qualcomm & Bose Back RealWear’s Enterprise Augmented Reality Wearables in $80 Million Funding Round
- [AR]Smart glasses follow our eyes, focus automatically
- [AR]Vuzix Files Patent on Next Generation Waveguide-Based AR Smart Glasses
- [AR]Women Driving innovation and growth for the good of all - Connected World
- [DL]10 Python Machine Learning Projects on GitHub
- [DL]A Comprehensive State-Of-The-Art Image Recognition Tutorial
- [DL]A new way to use the AI behind deepfakes could improve cancer diagnosis
- [DL]Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering
- [DL]Artificial Intelligence: The facts, the fiction, the future?
- [DL]Augmented intelligence: how to build a future-proof workforce - Raconteur
- [DL]Convolutions explained with… MS Excel! - Apache MXNet - Medium
- [DL]Deep Learning, Part 2: Depth Charge - DZone AI
- [DL]Deep Saliency Models : The Quest For The Loss Function
- [DL]DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images
- [DL]Drivers Of 4 Key Segments In Robotics And AI
- [DL]How AI Is Transforming Agriculture
- [DL]I’m a VP at LinkedIn and here’s what I learned about hiring people for AI jobs
- [DL]Kaggle
- [DL]Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment
- [DL]Robot maps a room using just sound and AI
- [DL]Sergio Mendez conferencista on Instagram: “The future of Work FACIAL RECOGNITION at SCHOOL is already in use in China #digitaltransformation #transformaciondigital…”
- [DL]Software/Data Engineer, London - WiMLDS
- [DL]Software/Data Engineer, London | DeepMind
- [DL]Supervised Symbolic Music Style Translation Using Synthetic Data
- [DL]The Indirect Convolution Algorithm
- [DL]The Role Of AI Technologies In HR Data-Based Decision Making
- [DL]Top technological trends for 2019 and beyond
- [DL]Transfer Learning in NLP
- [DL]Transform 2019: Lifting the hood on the AI tech you need to know about
- [DL]Udacity’s AI generates lecture videos from audio narration
- [DS]10 Free Hadoop Tutorials
- [DS]5 Steps to a Happy Analytics Team
- [DS]8 Data Analytics Acquisitions That Will Re-Shape the Industry
- [DS]A Complete Tutorial to Learn Data Science with Python from Scratch
- [DS]Equality, diversity and inclusion
- [DS]Machine Learning – Introduction to Supervised Learning | Vinod Sharma’s Blog
- [DS]Open-source Logistic Regression FPGA core for accelerated Machine Learning
- [DV]Building Reusable Data Visualization Components for a Modern Web
- [DV]Data+Music - Emoji
- [DV]Makeover Monday | Week 27 | 2019: Deaths in Game of Thrones
- [DV]r/dataisbeautiful - How homosexual couples meet [OC]
- [DV]r/dataisbeautiful - The best time to post is 2:30 GMT [OC]
- [DV]Research Data Curation Bibliography
- [DV]RS 100 Greatest Metal Albums of All-Time - dataset by kcmillersean
- [DV]Showcase — Information is Beautiful Awards
- [DV]“Coding is Magical”: A Week at Fathom University - fathominfo - Medium
- [IoT]Development of a Smart Office solution - Marco van der Pal (Capgemini) - The Things Conference 2019
- [IoT]Décoder mes données IoT ? Où et comment faire ?
- [IoT]Guidewire on How Insurers Can Ride the Insurtech Wave
- [IoT]Huawei kit more vulnerable to hacking than rivals - researchers
- [IoT]Internet of Robotic Things - Robotics & Intelligence Evolving to Make the New Era - IoT Business News
- [IoT]Ludovic Le Moan (Sigfox) :
- [IoT]New Silex Malware affected 1000s IoT sensors and devices | IoT Avenue
- [IoT]Security and privacy key to smart buildings and cities
- [IoT]The elephant in the digital room: unplanned downtime
- [ML]5 cloud sessions from Google I/O ‘19, from basic to advanced | Google Cloud Blog
- [ML]7 Fundamental Steps to Complete a Data Project
- [ML]AI for Humanity: French Industry Engages on Artificial Intelligence
- [ML]AI has big benefits but UK must lead the way in ethics
- [ML]AIcrowd | Challenges
- [ML]An Introduction to Bayesian Inference - Towards Data Science
- [ML]Analytics and its effect on data dissemination and ecommerce - SmartData Collective
- [ML]Applied Machine Learning for and Analysis of RR Lyrae Variable Stars
- [ML]Artificial Intelligence: Older Than Pizza
- [ML]Asymmetric Random Projections
- [ML]Big Data and AI is not a panacea
- [ML]Can Artificial Intelligence Predict Your Death?
- [ML]Change Management and Artificial Intelligence - How the Sports Sector is Getting Fit for Digital Change
- [ML]Companies need to develop their own AI talent – not wait for universities
- [ML]Data Digest: Supporting Security, Detecting Fraud, and Promoting Competition | Transforming Data with Intelligence
- [ML]ddbourgin/numpy-ml
- [ML]Efficient computation of expected hypervolume improvement using box decomposition algorithms
- [ML]Empowering Digital Transformation with Hybrid Cloud Data Management
- [ML]Facebook outage a peep at platform’s ML tagging conventions, Baidu links up with Intel and Huawei on AI chips, and more
- [ML]Fair Kernel Regression via Fair Feature Embedding in Kernel Space
- [ML]From ophthalmology to artificial intelligence
- [ML]Getting up to speed with AI and Cybersecurity
- [ML]Global Smart City Technology Market Outlook to 2024: AI, Broadband Wireless, Data Analytics, Device Management, and IIoT for Smart Cities
- [ML]Graph-based Knowledge Distillation by Multi-head Self-attention Network
- [ML]Hiring failure tolerant personalities
- [ML]How AI can strengthen and defend democracy
- [ML]How to generate new data in Machine Learning with VAE (Variational Autoencoder) applied to Mnist…
- [ML]How to Set Up Your Machine Learning Team for Success
- [ML]HyperFoods: Machine intelligent mapping of cancer-beating molecules in foods
- [ML]Hypertaste: An AI-assisted e-tongue for fast and portable fingerprinting of complex liquids
- [ML]I, Black Box: Explainable Artificial Intelligence and the Limits of Human Deliberative Processes
- [ML]Intro to Data Science for Managers [Mindmap]
- [ML]Learning Multi-Party Turn-Taking Models from Dialogue Logs
- [ML]Lectures
- [ML]MapR misses deadline for sale, biz prospects looking thinner than a Hadoop sales pitch
- [ML]Marketing strategy with Machine Learning decision making
- [ML]Mastering the features of Google Colaboratory !!! - Towards Data Science
- [ML]Microsoft Azure ML Studio – A Tutorial on How to Create a Churn Model in No Time
- [ML]Neural network can explain the physics of an earthquake rupture
- [ML]OlafenwaMoses/Traffic-Net
- [ML]Preserving physically important variables in optimal event selections: A case study in Higgs physics
- [ML]Process of Finding Outliers in Machine Learning | Data Jango
- [ML]Quick Start to Gaussian Process Regression
- [ML]r/MachineLearning - [P] Conditional Density Estimation Python Package and Large Benchmark with Neural Networks (MDN, KMN, Normalizing Flow) and Non-/Semi-parametric estimators
- [ML]r/MachineLearning - [P] Learning to play Tetris, again
- [ML]r/MachineLearning - [P] NumPy implementations of various ML models
- [ML]r/MachineLearning - [R] Benchmarking Model-Based Reinforcement Learning
- [ML]Robotics: AUVSI Xponential Takeaways And Key Trends
- [ML]Search, Analytics, Natural Language Processing Services | Accenture
- [ML]State of AI Report 2019
- [ML]Status quo of Maturity of Artificial Intelligence Systems
- [ML]The game of Regularization - Towards Data Science
- [ML]The Great A.I. Awakening: How Google used artificial intelligence to transform Google Translate, one of its more popular services — and how machine learning is poised to reinvent computing itself. BY GIDEON LEWIS-KRAUS
- [ML]The Rise of Natural Language Interfaces to Databases – ACM SIGMOD Blog
- [ML]Three common digital transformation mistakes
- [ML]Top 8 Data Science Use Cases in Construction
- [ML]Unsupervised word embeddings capture latent knowledge from materials science literature
- [ML]Using AI to detect – and predict – coating corrosion
- [ML]What You Get When You Get Zest Explainability
- [ML]What’s the difference between a data engineer, a data analyst and a data scientist?
- [ML]Why is Raven Protocol important to the future of AI
- [ML]Would Donald Trump be president if all Americans actually voted?
- [ML]YOW! Data 2019 - Juliet Hougland - How to Experiment Quickly