BigML Releases

https://bigml.com/releases

https://bigml.com/releases/fall-2016
Our Fall 2016 release brings Topic Models, the latest resource that helps you easily find thematically related terms in your text data. Discover BigML’s implementation of the underlying Latent Dirichlet Allocation (LDA) technique, one of the most popular probabilistic methods for topic modeling tasks. This resource is included in our FREE version and it is accessible from the BigML Dashboard as well as the API. Topic Models not only help you better understand and organize your collection of documents, but also can improve the performance of your models for information retrieval tasks, collaborative filtering, or when assessing document similarity.

WhizzML is a new domain-specific language for automating Machine Learning workflows, implementing high-level Machine Learning algorithms, and easily sharing them with others. WhizzML offers out-of-the-box scalability, abstracts away the complexity of underlying infrastructure, and helps analysts, developers, and scientists reduce the burden of repetitive and time-consuming analytics tasks.

https://bigml.com/releases/spring-2016

Model evaluation, model selection, and algorithm selection in machine learning

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463


幫你選擇分類器的分類器：Auto-WEKA
Auto-WEKA是由Kotthoff等人開發來Weka分類器套件，Auto-WEKA的論文「Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA」已經在2016年底發表在Journal of Machine Learning Research。
http://blog.pulipuli.info/2017/04/auto-weka-automatic-model-selection-and.html

Part I - The basics
http://sebastianraschka.com/blog/2016/model-evaluation-selection-part1.html
Part II - Bootstrapping and uncertainties
http://sebastianraschka.com/blog/2016/model-evaluation-selection-part2.html
Part III -Cross-validation and hyperparameter tuning
http://sebastianraschka.com/blog/2016/model-evaluation-selection-part3.html


【轉貼】2016 前 20 大 Python 機器學習開源項目
https://buzzorange.com/techorange/2016/12/19/2016-top-20-python-machine-learning-open-source-projects/

Machine Learning Wars

Amazon vs Google vs BigML vs PredicSishttp://www.kdnuggets.com/2015/05/machine-learning-wars-amazon-google-bigml-predicsis.html

a tweet-size summary:
Amazon Machine Learning most accurate
BigML fastest
PredicSis best trade-off
Google (Prediction API) last

	Amazon	Google	PredicSis	BigML
Accuracy (AUC)	0.862	0.743	0.858	0.853
Time for training (s)	135	76	17	5
Time for predictions (s)	188	369	5	1

人工智慧

人工智慧教學 AI TEACH
介紹AI開發工具、教學範例、應用、助理 -.....
https://www.cresnake.com/Article/AI_TEACH

基于大数据的人工智能应用(21页)
http://www.ppvke.com/Blog/archives/41071


百度承建國家級實驗室，是打算做什麼？
http://share.youthwant.com.tw/DF2269654.html



機器人理財：人工智慧運用於投資決策目前仍多數停留在研究理論階段，可實行性尚難以評估。

https://www.stockfeel.com.tw/%E5%A4%A7%E6%95%B8%E6%93%9A%E5%B0%8D%E6%96%BC%E4%B8%80%E5%90%8D%E6%95%A3%E6%88%B6%E7%9A%84%E6%84%8F%E7%BE%A9%E4%BD%95%E5%9C%A8%EF%BC%9F/

DIGITIMES Research

http://www.digitimes.com.tw/tw/rpt/rpt_show.asp?cnlid=3&v=20170105-2&n=1&wpidx=8

• 數據分析專題（三）：人工智慧的黃金年代：機器學習
• 2017IT藍圖 http://technews.tw/2017/01/08/2017-it-trend-report/
• 

九大核心技术引领2016智能制造  http://www.fujisan.com.cn/cn/html/news.aspx?tid=21&id=743


Special Issue on Artificial Intelligence 2.0
http://www.zju.edu.cn/jzus/issue.php?issueid=480

中国工程院院刊：人工智能迈向2.0时代
http://blog.sciencenet.cn/blog-630081-1036442.html
http://www.weidu8.net/wx/1000148765185265

Webinar

胡郁：人工智能时代下的创业创新之路 混沌研习社 2017/02/25
https://www.youtube.com/watch?v=UxQBTUOHO2E

谷歌云首席科学家李飞飞：人工智能 极客公园 2017 年 大会演讲
https://www.youtube.com/watch?v=uZ-7DVzRCy8

OAQA Biomedical Question Answering (BioASQ) System

This system uses the ECD/CSE framework (an extension to the Apache UIMA framework which support formal, declarative YAML-based descriptors for the space of system and component configurations to be explored during system optimization), BaseQA type system as well as various natural language processing and information retrieval algorithms and tools.
https://github.com/oaqa/bioasq

Document, concept, and snippet retrieval

Exact answer generation for factoid and list questions

Answer prediction for yes/no questions

AutoML

How to Put Machine Learning in your Machine Learning
https://blog.bigml.com/2016/07/07/how-to-put-machine-learning-in-your-machine-learning/


BigMLWhizzML-- a new domain-specific language for automating Machine Learning workflows, implementing high-level Machine Learning algorithms, and easily sharing them with others.
https://bigml.com/whizzml
https://blog.bigml.com/2016/07/07/how-to-put-machine-learning-in-your-machine-learning/
http://thenewstack.io/bigmls-whizzml-programming-language-eases-machine-learning-automation/

Skytree Patented Automation (video)
https://www.youtube.com/watch?v=XuCwpnU-F1k (short)
https://www.youtube.com/watch?v=lfDsEhxjCxk (long)
https://www.youtube.com/watch?v=SlbjIfRWT7M

KDnuggets--

Going to War with the Giants: Automated Machine Learning with MLJAR

http://www.kdnuggets.com/2017/01/automated-machine-learning-mljar-kaggle.html