爱可可老师今日视野(2018.12.25)

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]31 Free Google Tools for Marketers and Developers – ProductHood – Medium
• [AI]Apple Increasing Its Focus On Artificial Intelligence, Machine Learning
• [AI]Big Data Analytics Adoption Soared In The Enterprise In 2018
• [AI]In An Age Of Tech Overkill, Mindful Design Thinking Catches On
• [AI]The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
• [AI]The Future Of Artificial Intelligence In Oil & Gas
• [AI]Yes, Chatbots And Virtual Assistants Are Different! — Forbes
• [AR]Big Ben brought back to life by Snapchat augmented reality — Daily Mail
• [AR]Call for Contributions VideoVortex XII, Malta, September 27-28, 2019
• [AR]Intel Wants to Give You Virtual Courtside Seats
• [AR]MA Immersive Arts
• [AR]My Doumi AR, a New Leader in Virtual Pet Gaming
• [AR]r/augmentedreality - AR design prototyping
• [AR]r/augmentedreality - The Inevitable Rise of AR: Blessing or Curse?
• [AR]The most innovative products of 2018
• [AR]Wareable 50, one year on: How did we do with our wearable tech predictions?
• [AR]Zwischen Mensch und Maschine: Interaktive VR-Tanzerfahrung feiert im Januar Premiere
• [DL]A Full Hardware Guide to Deep Learning
• [DL]A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network
• [DL]Analyzing Videos using Deep Learning
• [DL]Animating Arbitrary Objects via Deep Motion Transfer
• [DL]Behind every great deep learning framework is an even greater programming languages concept (keynote)
• [DL]Breaking the curse of small datasets in Machine Learning: Part 1
• [DL]Building a Custom Mask RCNN Model with TensorFlow Object Detection
• [DL]Content marketing and personalised approach to rule as mobile consumption will go up in 2019: Sumeet Singh, CMO, InfoEdge
• [DL]CRC Projects selection round outcomes
• [DL]Cross Examining the Artificial Intelligence – Slaw
• [DL]Data Science Talks Machine-Learning and Artificial Intelligence
• [DL]Deep Learning + Neural Nets
• [DL]Deep Learning Case Studies
• [DL]Deep Recurrent Neural Networks for Fault Detection and Classification
• [DL]Everything you need to know about Artificial Intelligence in Healthcare
• [DL]Explore Deep Learning for Natural Language Processing
• [DL]Generative Adversarial Networks — Explained – Towards Data Science
• [DL]Hands-On Machine Learning Using Amazon SageMaker [Video] - Video
• [DL]Highlights for Data Scientists
• [DL]How do you apply artificial intelligence to your oil and gas needs?
• [DL]How to use Keras fit and fit_generator (a hands-on tutorial) - PyImageSearch
• [DL]Impact on Artificial Intelligence, deep learning on human resource next year
• [DL]Introducing PyText – Towards Data Science
• [DL]Introducing TAPAS – Towards Data Science
• [DL]Learning Compositional Representations for Few-Shot Recognition
• [DL]Machine Learning A-Z™: Hands-On Python & R In Data Science
• [DL]Mass General builds algorithm to detect intracranial hemorrhages
• [DL]Neurala Announces Breakthrough Update to Awar... | Taiwan News
• [DL]NeurIPS 2018 Best Paper Team: “Math Is Forever” – SyncedReview – Medium
• [DL]New Books for Edtech Enthusiasts
• [DL]r/deeplearning - Deep learning for webcam controlled dancing Christmas Avatars
• [DL]Regular Inference on Artificial Neural Networks
• [DL]ROS Robotics Projects - PDF eBook
• [DL]Self-Driving Cars, Generated News Among Top October Research
• [DL]The 3 Best Machine Learning Stocks to Buy in 2019 -- The Motley Fool
• [DL]The most practical causal inference book I’ve read (is still a draft)
• [DL]The Semantic Web: Where is it now? | Codementor
• [DL]The year in AI/ML advances: 2018 roundup – Xavier Amatriain – Medium
• [DL]Top Stories, Dec 17-23: Why You Shouldn’t be a Data Science Generalist; 10 More Must-See Free Courses for Machine Learning and Data Science
• [DL]Tracking the Transforming AI Chip Market – SyncedReview – Medium
• [DL]Trending at CACI
• [DL]Trends in Deep Learning with Jeremy Howard - TWiML Talk #214
• [DL]Watch Your Mouth. Google’s DeepMind AI Can Outperform Professional Lip Readers
• [DL]Webinar Calendar | Open Data Science Conference
• [DL]What’s in store for 2019 in terms of Artificial Intelligence?
• [DL]Workshop on Emerging Deep Learning Accelerators
• [DL]🔥 Kareem Carr 🔥 on Twitter
• [DL]🔮 The new authoritarianism; technological innovation; automating the middle class; Chinese clickfarms, meditation wars, Martian ice++ #197
• [DS]Optimizing an artificial intelligence architecture: The race is on | 7wData
• [DS]Tools for Working with Excel and Python
• [DS]Why Python is so popular with developers: 3 reasons the language has exploded | 7wData
• [DV]Condé Nast: 2018 Global Transformation Award Winner
• [DV]Dear Winners: Your Trophy Awaits
• [DV]Exploring model fit by looking at a histogram of a posterior simulation draw of a set of parameters in a hierarchical model - Statistical Modeling, Causal Inference, and Social Science
• [DV]Federica Fragapane
• [DV]How Pew Research Center uses small multiple charts – Pew Research Center: Decoded – Medium
• [DV]M is here, dive in! – Malofiej
• [DV]Taming Data with JavaScript
• [DV]Use Data and Analytics to Tell a Story
• [IoT]Anatomy of an IoT Attack
• [IoT]Beyond the Algorithm: Business transformation and value creation through AI
• [IoT]En 2017, Alexa a été demandé en mariage plus d'un million de fois
• [IoT]IoT In Action
• [IoT]Report: Cryptomining And IoT Malware Both Rise Over 70%...And Other Small Business Tech News This Week
• [IoT]Societal Innovation & Our Future Cities – Dark Matter Laboratories
• [IoT]The Best Smart Home Devices for 2019 – Hacker Noon
• [IoT]Why It's Hard to Escape Amazon's Long Reach
• [ML]2018 in Technology and What 2019 Holds in store for Enterprise Landscape
• [ML]A Guide to Decision Trees for Machine Learning and Data Science
• [ML]A Primal-dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint
• [ML]Advances in artificial intelligence threaten health data privacy: Study | Tech News
• [ML]AI's dark secret? A desire for data without bounds
• [ML]An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process
• [ML]An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction
• [ML]An Intro to Data Mining, and How it Uncovers Patterns and Trends
• [ML]Artificial Intelligence Creates Realistic Photos of People, None of Whom Actually Exist
• [ML]Artificial Intelligence technology bit frightening, feels Ruskin Bond
• [ML]Artificial Intelligence to open up plethora of opportunities
• [ML]Artificial intelligence’s rise exposes gaping gender gap
• [ML]Banks make better decisions with smart, unbiased banking analytics
• [ML]Big Data Engineer at VIOOH (London, UK)
• [ML]Bringing the best out of Jupyter Notebooks for Data Science
• [ML]CES 2019 Trends To Watch - 5 Predictions Everyone Should Read
• [ML]CMSWire's Top 10 Information Management Articles of 2018
• [ML]Concerns over huge gender gap in artificial intelligence workforce
• [ML]Creating Multi-language Pipelines with Apache Spark or Avoid Having to Rewrite spaCy into Java
• [ML]Data Science with Hadoop: Designing and Building Effective Analytics at Scale by - Zion Holdings
• [ML]Data, machine learning and the road to continuous bioprocessing
• [ML]Empirical Asset Pricing via Machine Learning by Shihao Gu, Bryan T. Kelly, Dacheng Xiu
• [ML]Feature-Wise Bias Amplification
• [ML]Finding all of the trees in the world with machine learning
• [ML]Four Emerging Technology Areas That Will Help Define Our World In 2019
• [ML]Google News -
• [ML]Great Lakes Machine Learning Program Experience | Siddhartha Murthy, IBM | Big Data -Great Learning
• [ML]How Artificial Intelligence is Transforming Mobile Technology
• [ML]How artificial intelligence will change your world in 2019, for better or worse
• [ML]How Big Data Has Created a Big Crisis in Science | RealClearScience
• [ML]How Neural Networks Work- Simply Explained
• [ML]How to Enlist Big Data to Drive Additional Revenue Streams
• [ML]How to ETL with MongoDB and Postgres (Part 1) – Chingu – Medium
• [ML]How to identify machine learning talent - Software Testing News
• [ML]IDC FutureScape: Worldwide Analytics and Artificial Intelligence 2019 Predictions
• [ML]Impact of artificial intelligence
• [ML]Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours
• [ML]Is AI needed for Chatbots & was HAL 9000 a Chatbot or AI?
• [ML]K-Means clustering of MNIST dataset - Decipher To Know
• [ML]Konnect Business Media Conducts India's First AI-oriented Industry Conference
• [ML]Leading Technology Innovations in Big Data and Machine Learning in Telecom Market - Journal of Industry
• [ML]Linear Algebra for Data Science
• [ML]Liquidity prospects 2019
• [ML]L’adoption du Big Data a explosé en 2018 selon Dresner Advisory Services - LeBigData.fr
• [ML]Machine Learning as a Service: Part 1 – Towards Data Science
• [ML]Machine Learning at Uber (Natural Language Processing Use Cases)
• [ML]Machine learning use cases in organizations 2018 | Statistic
• [ML]Marvels and Pitfalls of the Langevin Algorithm in Noisy High-dimensional Inference
• [ML]Master Python through building real-world applications (Part 3)
• [ML]Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors
• [ML]Nonparametric Feature Extraction from Dendrograms
• [ML]Optimization of K-means Clustering Algorithm
• [ML]Principal Data Scientist
• [ML]r/MachineLearning - [D] Conversation with Juergen Schmidhuber on Godel Machines, Meta-Learning, and LSTMs
• [ML]r/MachineLearning - [D] I'm tired of reading results-oriented papers. What are good papers or sources of papers more focused on the emerging theory of machine learning?
• [ML]r/MachineLearning - [D] What makes a good text-to-speech dataset?
• [ML]Reducing Sampling Ratios and Increasing Number of Estimates Improve Bagging in Sparse Regression
• [ML]Reverse Mentoring in Era of Industry 4.0
• [ML]Robotics, AI, coding - this woman is making complex concepts fun for children in Tamil Nadu’s villages
• [ML]Should coma patients live or die? Machine learning will help decide.
• [ML]Stochastic Doubly Robust Gradient
• [ML]The AI chip unicorn that's about to revolutionize everything has computational Graph at its Core | 7wData
• [ML]The essential characteristics of directed search
• [ML]The Gravity of Kubernetes – Hacker Noon
• [ML]Using Artificial Intelligence to reduce accidents in Thailand | Motor Trader Car News
• [ML]Using mlr for Machine Learning in R: A Step By Step Approach for Decision Trees
• [ML]What to expect in 2019, Technology: From smart today to smarter tomorrow, with a lot more AI
• [ML]Why Does Batch Normalization Work?
• [ML]Why Has It Become Risky To Be An AI-Based Software Startup?
• [ML]Will man survive the emergence of artificial intelligence?
• [ML]Wishing Our Readers a Merry Christmas and a Happy New Year
• [ML]Your 2019 AI Predictions - DZone AI
• [ML]Zak David expresses critical views of some published research in empirical quantitative finance - Statistical Modeling, Causal Inference, and Social Science