Nicely done, non-technical. Check out some examples too.
What is R? R Explained in less than Two Minutes, to Absolutely Anyone
by Bernard Marr
If you're looking at ways you can harness the power of Big Data analytics in your business, but are not necessarily a techie person yourself, it can be a confusing field at first.
For this reason I'm publishing a series of short posts aimed at explaining some of the key concepts and technologies behind Big Data and data analytics, aimed at an audience which is not primarily composed of IT specialists or data scientists .... "
A Site Devoted to the Discovery and Application of Emerging Technologies .
About Me
- Franz Dill
- Retired from Procter & Gamble after 27 years. Now consulting extensively. Background in mathematics, working on a wide variety of modeling, supply chain, analysis, expertise, business intelligence and social media applications.
Contact at: Linkedin ShortBio Here.
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- More Data Changes Decision Making
- IBM Releases DataWorks
- Microsoft Can Leverage AI and Skill Networks
- From Big Data to Human Level AI
- Sentiment Analytics Master Class
- Minimum Viable Bureaucracy
- Hololens and Lowes
- Myths About Machine Learning
- Tom Davenport on the Four Eras of Analytics
- Purdue Exploratory Systems Lab
- Electronic Tongue Tastes Wine
- Reinforcement Learning for Process Intelligence
- A New Partnership on AI
- Heat Mapping in Brick and Mortar
- Ohio Supercomputing Center
- P&G Still Loves Facebook
- Machine Learning and Customer Loyalty
- SAP Buys More IoT Presence
- Snapchat Spectacles
- UPenn's Lab Flies Drones Through Windows
- Google's Allo delivering Messaging AI
- Mapping Experiences
- Future of AI Driven Analytics
- Tapping Into Tribal Knowledge
- Seeking Open AI Again
- AI Software Booming
- Geofencing External Spaces
- IOT Research Report
- KM World
- Why and How is Watson a Cognitive System?
- High Cost of eFullfillment
- Robots and Assistants Will Replace Tasks in Jobs
- Retail Algorithmic Merchandising
- Five Technologies for the Next Ten Years
- Use of Techniques by Data Scientists
- Algorithmic Retailing
- Procurement Analytics
- Right Way to Take Risk
- Weapons of Math Destruction?
- Inspired by the Architecture of Neural Networks
- Building Practical AI Systems
- Only Humans Need Apply
- Watch Gets the Voice of Echo Alexa
- Image Captioning by Tensorflow is Now Open Source
- Designing Social Interactions in a Teachable Agent
- Critical View of Online Training
- Data Explosion and Decision Making
- Google's Digital Assistant Revealed
- Chinese Wearable Shipments Soar
- On Predictability of Demand
- Casino Key Security
- Hyperledger Project
- GE Buys Machine Analytics Firm
- The State of Natural Language
- Warehouse Science from Georgia Institute of Techno...
- Tom Davenport Presentation
- Retailers Losing Digital Control
- Staying Ahead of Smart Machines
- On Worlds of Co-Innovation
- Towards Guidance on Robot Ethics
- Microsoft Chatbot
- Connected Consumers
- Generalized Dynamical Machine Learning
- Designing Social Interactions in a Teachable Agent
- Crowdsourcing Science with Foldit
- D-Wave Quantum Offers 1000X Speedup for Machine Le...
- Digital Defining the Shopping Experience
- Nielsen and Programmatic Advertising
- Clark.AI for Taking Call Notes
- Myths About an AI Future
- Estimote Mirror Beacon
- Debating the Rules of Brainstorming
- Assertiveness
- Apple Continues Moves in VR
- Digital Storytelling and Process
- Judging the Algorithm
- Hololens Learns from Google Glass Failure
- Blockchain Used for Contract Management
- Getting Visual in the Smart City
- Free Tools for Monte Carlo Simulation
- IBM Integrates Weather APIs into Bluemix
- Method Inventor
- Driverless Cars Interacting with People
- Cheap Frig Cams
- The Unilever Consumer Connection
- Internet of Robotic Things
- IBM and Chevy Generating 'Positivity'
- Baidu's Paddle
- Reducing Traffic with Reinforcement Learning
- Reinforcement Learning and AI
- Alexa Dot Now Being Sold in Volume
- Virtual Assistants Adapting to Us
- Columbus Ohio Wins Smart City
- GE Smart Appliances
- Data Science and Cortana Intelligence
- Retailers Struggling with Big Data
- Identity Graphs for Marketing
- AI Will be Whispering in your Ear
- Too Much Data? First Use Right Measures
- Preparing for More Computational Thinking
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