Analytics Platforms

Mode Analytics
The only analytics platform with integrated Python Notebooks
Make your team's advanced analytical insights accessible and shareablehttps://www.oracle.com/solutions/mobile/bots.html

CHATBOTS, CONVERSATIONAL AI

https://venturebeat.com/2017/02/02/how-to-build-your-own-twitter-bot-in-less-than-30-minutes/
Why you should have your own Twitter bot, and how to build one in less than 30 minutes
https://medium.freecodecamp.org/easily-set-up-your-own-twitter-bot-4aeed5e61f7f

Cataloging the world of creative bots, clumsy AI, and machine ethics.

http://botwiki.org/about/team 

http://botmakers.org http://botzine.org 

Header: @NixieBot
https://twitter.com/botwikidotorg

rasa.ai
Rasa NLU
@rasa_nlu
Open-source language understanding for bots: A drop-in replacement for popular NLP tools like wit.ai, api.ai or LUIS.
https://github.com/RasaHQ/rasa_nlu
intent classifier+crf4ner dialogue management

YOUTUBE

Rasa.ai
Conversational AI: Building Clever Chatbots - Tom Bocklisch @ WeAreDevelopers Conference 2017

https://www.youtube.com/watch?v=1-9Iv5OjAcM

FACEBOOK

ChatBots: Facebook Messenger NLP ML API.AI Intents

https://www.youtube.com/watch?v=WZf2k5AHcDY

Google Cloud Platform

Your next app might be a bot! 
Building conversational UX with API.AI (Google Cloud Next '17)

https://www.youtube.com/watch?v=LHX1GqZuaII

Startup.ML Deep Learning Conference: François Chollet on Keras (december 2015)
https://www.youtube.com/watch?v=YimQOpSRULY

François Chollet
Effective TensorFlow for Non-Experts (Google I/O '17)
https://www.youtube.com/watch?v=5DknTFbcGVM

Josh Gordon
Open Source TensorFlow Models (Google I/O '17)
https://www.youtube.com/watch?v=9ziVGkt8Gg4

Oracle

Oracle dives into AI with new apps and services

https://venturebeat.com/2017/10/02/oracle-dives-into-ai-with-new-apps-and-services/

Oracle Learning Library

https://www.youtube.com/channel/UCpcndhe5IebWrJrdLRGRsvw
https://www.oracle.com/solutions/mobile/bots.html

Building and Deploying Chatbots and Microservices with Oracle Cloud Platform

Siddhartha Agarwal Vice President, Product Management, and Strategy Develop, Deploy, Iterate Often. Today’s developers are developing and deploying multiple releases

https://www.youtube.com/watch?v=XYmY2XfjFZ4

https://www.youtube.com/watch?v=LHX1GqZuaII

Oracle Chatbot Platform

Grant Ronald
@gwronald
Director of Product Management in the Oracle Mobility Development Organization.

https://www.youtube.com/OracleMobilePlatform

Bots: 10. System Components in Intelligent Bots Dialog Flow
https://www.youtube.com/watch?v=a6-YgDnUXS8

YAML

http://yaml.org/

Product Management Tools

AHA!
http://www.aha.io/software/agile-product-roadmap

Daniel Kahneman

Prospect Theory: An Analysis of Decision under Risk by Daniel Kahneman and Amos Tversky Econometrica, 47(2), pp. 263-291, March 1979
https://www.princeton.edu/~kahneman/docs/Publications/prospect_theory.pdf

FSB developments (KGB, NKVD, CHK)

Materials on FSB (KGB, NKVD, CHK)

Mitrokhin Archive

https://en.wikipedia.org/wiki/Mitrokhin_Archive

Middle Eastern figures accused of being informants or agents of the KGB[edit]

On September 2016, a work by two researchers (DR. I. Ginor and G. Remez) stated that Mahmoud Abbas (also known as 'Abu Mazen'), the President of the Palestinian National Authority, worked for the Soviet intelligence agency. According to a recently released document from the Mitrokhin Archive, entitled "KGB developments – Year 1983", Abbas apparently worked under the code name "Krotov", starting early 1980s.^[23][24][25]

Made in Moscow Terrorism Communists and Muslims: The Hidden Hand of the KGB By Konstantin Preobrazhensky
http://leninandsharia.com/docs/preobrazhensky.pdf

YouTube series

YouTube

Daily Stuff

1. investing, markets

2. political events

3. new technology

4. science

new materials

5. culture

exhibitions
museums around the world
famous musicians
local cultural events
guest speakers
movies
concerts


6. psychology

child development
relationship with friends


7. vacation spots

8. fashion trends
street fashion
trends



how to make money on youtube
https://www.google.com/search?q=how+to+make+money+on+youtube

Machine learning platforms comparison: Amazon, Azure, Google, IBM

Machine learning platforms comparison: Amazon, Azure, Google, IBM

http://searchbusinessanalytics.techtarget.com/feature/Machine-learning-platforms-comparison-Amazon-Azure-Google-IBM

Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Prediction API

https://www.altexsoft.com/blog/datascience/comparing-machine-learning-as-a-service-amazon-microsoft-azure-google-prediction-api/

AWS Experience
Getting Started with AWS
http://docs.aws.amazon.com/gettingstarted/latest/awsgsg-intro/gsg-aws-tutorials.html

Deleting a Service
http://docs.aws.amazon.com/AmazonECS/latest/developerguide/delete-service.html

My Service Page

https://us-west-1.console.aws.amazon.com/ec2/v2/home?region=us-west-1#Instances:sort=instanceId

WRITING

Creative Writing

The 10 Biggest Mistakes New Authors Make
By Brooke Warner

https://twitter.com/brooke_warner

I have to preface this post by noting how easy it is to make mistakes when you’re on the road to becoming a published author. This is an emotional journey, and ego can sometimes get in the way. Then there’s the many details you must hold, which even publishers get wrong from time to time. I’ve experienced firsthand the pain of a few or more projects that went to print with pretty egregious problems. And it hurts. Sometimes entire print runs are destroyed as a result. These top 10 mistakes are among the most common I see in my work with authors. Some are about mindset and others are more technical oversights. If you’ve made any of these mistakes, you’re in good company. The best we can do is learn, and spread the word so others take heed.

How to Write So Vividly that Readers Fall in Love with Your Ideas

http://app.mhb.io/e/1v68t/57

Henneke Duistermaat is an irreverent copywriter and business writing coach. She's on a mission to stamp out gobbledygook and to make boring business blogs sparkle. Get her free 16-Part Snackable Writing Course for Busy People and learn how to enchant your readers and win more business.

Deep Customer Segmentation Marketing and Habit Forming Technology

ARTICLES

Chart Mogul

Using Deep Customer Segmentation in SaaS
https://blog.chartmogul.com/deep-segmentation-in-saas/

User segmentation is an incredibly powerful tool in analytics and is critical for understanding the types of customers using your product, as well as targeting and measuring the impact of your customer success.

There are many platforms that support advanced customer segmentation, most of which provide their own built-in segments which act as a suitable starting point. To really get the most from such a tool though, you’ll want to create your own custom segments, based on as the most relevant data available for your customers.

With segmentation employed in the right way, you can answer the following questions and much more:
Which types of customer are most profitable for me?
Which marketing channels produce the highest value customers?
How can I better understand where my customers are losing their way in my onboarding process?
Which 20% of customers are using 80% of my customer support resources?

Facebook

#Facebook is using #AI to help it better understand what content you like. Useaful for a #DeepCustomerSegmentation

Facebook wants to improve your ad experience and is using AI to help it better understand what content you like
Mid-roll video ads, ads in Instagram Stories and ad experiments in Messenger are just the beginning.
BY JAN DAWSON FEB 6, 2017, 3:00PM EST

http://www.recode.net/2017/2/6/14489088/facebooks-ads-video-advertising-news-feed-mark-zuckerberg

Harvard Business Review

Having More Options Can Make Us Evaluate
Risk Differently

Uzma Khan
Daniella Kupor
FEBRUARY 09, 2017

https://hbr.org/2017/02/having-more-options-can-make-us-evaluate-risk-differently

How does this make any sense? We found people generally believe that larger, more significant outcomes are less likely to happen than smaller outcomes. But the odds of the larger outcome happening seem even smaller when placed alongside the higher odds of the small outcome. For example, a 10% chance of winning a prize feels small already, but it feels much smaller when it is compared to a 60% chance of winning other prizes. As a result, people feel that they have less chance of winning an unlikely large prize, and that makes the whole sweepstakes feels less valuable.

Thus, adding prizes that make a sweepstakes objectively more valuable ends up decreasing the sweepstakes’ perceived value. Similarly, noting smaller side effects that make the drug objectively more dangerous can in fact make it appear less dangerous by making the larger side effect seem even less likely to happen. This biases us against taking positive risks and avoiding negative ones.

These results have wide-ranging implications for both marketers and policy makers. For example, public service campaigns often describe every single negative consequence of some dangerous behavior, with the hope that this will make it seem riskier. Our research suggests that this well-intentioned strategy can backfire. Showcasing a single large risk instead may deter dangerous behavior more effectively.

Along similar lines, marketers should consider highlighting a single large potential advantage of a product to generate greater sales, instead of highlighting that same large potential advantage plus smaller ones. Companies should think about how employees may be more motivated if their incentive schemes offer a single large payout rather than that same large payout in addition to incentives of lower value. In other words, when it comes to helping people evaluate risk, less is more.

Chart Mogul
SAAS
https://chartmogul.com/

Cambridge Analytica
Psychometric Analysis

Facebook
NLP/AI on 'likes'


12 ways to grab millennials using gamification
https://thenextweb.com/business/2017/02/13/12-ways-to-grab-millennials-using-gamification/

CUSTOMER SEGMENTATION: A GUIDE TO THE BEST B2B PRACTICES
Tien Anh Nguyen @tienanh
Head of Analytics at UserTesting - interested in big, disruptive ideas, voracious reader, and learning how to build great startups

http://labs.openviewpartners.com/customer-segmentation/

6 Reasons You Need Customer Segmentation (And How It Drives Increased Profit)

including 

Content Personalization

http://www.fieldboom.com/blog/customer-segmentation/


5 Ways to Use Psychology to Increase Social Engagement
https://blog.hootsuite.com/social-media-psychology/

Bill Widmer

How to Repurpose Content for Maximum Social Reach

https://blog.hootsuite.com/how-to-repurpose-content/

Bill Widmer

The Unbelievable Future of Habit-Forming Technology
The Unbelievable Future of Habit-Forming Technology

Nir Eyal & NirAndFar.com

WOOTRIC
Your customer experience is your brand
https://www.wootric.com/why-wootric-cx-vision/

The Forrester Wave™: Predictive Marketing Analytics For B2B Marketers, Q2 2017 6sense And Lattice Engines Lead A Diverse Field Of Emerging Solution Providers by Allison Snow and Laura Ramos June 14, 2017
https://user-assets-unbounce-com.s3.amazonaws.com/b702f5d3-7e67-4348-98cd-1e7d399f8f84/30772302-ed67-4bdb-82d1-8f1def4d929f/forresterwave-predictiveanalyticsforb2bmarketers-2017.original.pdf

Facebook Business: Target Facebook Ads to people on your contact list

Target Facebook Ads to people on your contact list

https://www.facebook.com/business/a/custom-audiences

Creating your Custom Audience

Using your Custom Audience

THE COMPUTER SCIENCE OF HUMAN DECISIONS

BOOKS

CHRISTIAN AND GRIFFITHS’S

ALGORITHMS TO LIVE BY: THE COMPUTER SCIENCE OF HUMAN DECISIONS

https://jasoncollins.org/2017/01/20/christian-and-griffithss-algorithms-to-live-by-the-computer-science-of-human-decisions/

Kindle edition
https://www.amazon.com/dp/B015CKNWJI/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1


ML & Behavioral Science
Machine learning improves our ability to predict what person will respond to what persuasive technique, through which channel, and at which time.http://behavioralscientist.org/scaling-nudges-machine-learning/

Psychometrics

Psychometrics/Psychographics

'judge not, that ye be not judged.' 

ARTICLES

The Data That Turned the World Upside Down
WRITTEN BY HANNES GRASSEGGER AND MIKAEL KROGERUS
January 28, 2017 // 09:15 AM EST
http://motherboard.vice.com/read/big-data-cambridge-analytica-brexit-trump

How Smart Does Your Profile Image Look? Estimating Intelligence from Social Network Profile Images
http://delivery.acm.org/10.1145/3020000/3018663/p33-wei.pdf
 Xingjie Wei1,2 x.wei@bath.ac.uk David Stillwell1 ds617@cam.ac.uk Psychometrics Centre, University of Cambridge, Cambridge, CB2 1AG, U.K.1 School of Management, University of Bath, Bath, BA2 7AY, U.K.2

ABSTRACT
 Profile images on social networks are users’ opportunity to present themselves and to affect how others judge them. We examine what Facebook images say about users’ perceived and measured intelligence. 1,122 Facebook users completed a matrices intelligence test and shared their current Facebook profile image. Strangers also rated the images for perceived intelligence. We use automatically extracted image features to predict both measured and perceived intelligence. Intelligence estimation from images is a difficult task even for humans, but experimental results show that human accuracy can be equalled using computing methods. We report the image features that predict both measured and perceived intelligence, and highlight misleading features such as “smiling” and “wearing glasses” that are correlated with perceived but not measured intelligence. Our results give insights into inaccurate stereotyping from profile images and also have implications for privacy, especially since in most social networks profile images are public by default.
 Keywords Intelligence quotient; Measured intelligence; Perceived intelligence; Intelligence estimation; Computational aesthetics; IQ

BOOKS

1. Modern Psychometrics, Third Edition: The Science of Psychological Assessment
By John Rust, Susan Golombok, Michal Kosinski, David Stillwell
https://www.amazon.com/Modern-Psychometrics-Third-Psychological-Assessment/dp/041544215X

PAPERS

Computer-based personality judgments are more accurate than those made by humans
http://www.pnas.org/content/112/4/1036.abstract

Michal Kosinski‏ @michalkosinski 13 Nov 2017
Our new PNAS paper shows that psychological micro-targeting can be used covertly to attract up to 40% more clicks and up to 50% more purchases.
RESEARCHERS

Michal Kosinski - associate professor at Stanford Business School
http://www.michalkosinski.com/
https://twitter.com/michalkosinski


Dr Alex Tayler -
Chief Data Scientist, SCL Group Limited
Cambridge Analytica
Behavioural Microtargeting
http://www.bloomberg.com/research/stocks/private/person.asp?personId=320043977&privcapId=72454231

Dr. Alexander Tayler, also known as Alex, serves as the Chief Data Scientist at SCL Group Limited. Dr. Tayler is a Lead Data Scientist at SCL Elections. His primary focus is the development and implementation of models that combine theoretical psychology with big data analytics to enable highly accurate predictions of human behaviour. He is also responsible for the validation of these models and visualisation of model results. He has significant experience in the commodities sector, having previously worked for both Schlumberger and Orica Mining Services. Dr. Tayler holds PhD in Chemical Engineering from University of Cambridge and BE from University of Newcastle, Australia.

COMPANIES

Cambridge Analytica
@CamAnalytica

cambridgeanalytica.org

Big Data. Behavioral Microtargeting. Political Campaign Support. Digital Support.

http://psymetricsworld.com/
http://psymetricsworld.com/prebuiltassessments.html

Reinforcement Learning

OpenAI

Our goal is to develop a single AI agent that can flexibly apply its past experience on Universe environments to quickly master unfamiliar, difficult environments, which would be a major step towards general intelligence. There are many ways to help: giving us permission on your games, training agents across Universe tasks, (soon) integrating new games, or (soon) playing the games.

Reading

Reinforcement Learning
https://webdocs.cs.ualberta.ca/~sutton/book/the-book-2nd.html

Richard S. Sutton
and Andrew G. Barto
Second Edition, in progress
MIT Press, Cambridge, MA, 2017

Online draft New Code Solutions Course Materials

"The Arcade Learning Environment: An Evaluation Platform for General Agents":
https://www.jair.org/media/3912/live-3912-7087-jair.pdf

OpenAI Gym Beta
GREG BROCKMAN, JOHN SCHULMAN APRIL 27, 2016
https://openai.com/blog/openai-gym-beta/

Universe
OPENAI DECEMBER 05, 2016
https://openai.com/blog/universe/