• About Me Card

Max Hemingway

~ Musings as I work through life, career and everything.

Max Hemingway

Category Archives: Machine Learning

A-Z of Digital – M is for Machine Learning

08 Tuesday Aug 2017

Posted by Max Hemingway in Digital, Machine Learning

≈ 1 Comment

Tags

Digital, Machine Learning

learnFollowing on from my blog post outlining an A-Z of Digital, here is “M for Machine Learning”.

Machine Learning (ML) allows a computer to learn and act without being explicitly programmed with that knowledge. For example, if you get a computer to recognise a picture of a car and show it some examples of a car, it will then be able to recognise cars going forward and apply what it has learnt against new pictures shown.

Machine learning tasks are typically classified into three broad categories, depending on the nature of the learning signal or feedback available to a learning system. These are

Supervised learning: The computer is presented with example inputs and their desired outputs, given by a “teacher”, and the goal is to learn a general rule that maps inputs to outputs.

Unsupervised learning: No labels are given to the learning algorithm, leaving it on its own to find structure in its input. Unsupervised learning can be a goal in itself (discovering hidden patterns in data) or a means towards an end (feature learning).

Reinforcement learning: A computer program interacts with a dynamic environment in which it must perform a certain goal (such as driving a vehicle or playing a game against an opponent). The program is provided feedback in terms of rewards and punishments as it navigates its problem space.

Source: https://en.wikipedia.org/wiki/Machine_learning

Machine Learning has opened a lot of uses and applications within business and industry such as a manufacturing process that looks for defects in products by telling the computer what good looks like, with imperfections being identified for further investigation.

One common place for interacting with Machine Learning is through the use of Chat Bots. You may have used a chat bot without knowing it, with machine learning helping to provide the answers to your queries.

An interesting chat bot to try out through Facebook Messenger is Keiko, a people search droid. The search can provide a series of questions to help narrow the search to who you are looking for. Yes you could do this through a normal search engine, but the thing I like about Keiko is the ability to interact and respond to the query with additional questions or suggestions for the search. Keiko can provide other functions other than just searching for a person. Search engines themselves have a lot of machine learning involved in ensuring that the results returned are the best match to the person searching and the search criteria.

If you want to have a go with a Machine Learning program try Googles Autodraw https://www.autodraw.com/. In this application you can draw an object and Google will try and suggest clip art that is similar to your drawing. As the program is used it learns from the drawings and selections that people make.

Further Reading

  • Visual introduction to Machine Learning
  • Deal or no deal? Training AI bots to negotiate
  • How to get started with machine learning in manufacturing
  • Putting machine learning into context
  • How machine learning and AI are transforming the workplace
  • Enrolling in Artificial Intelligence Kindergarten
  • The digital twin
  • Hesitant to adopt machine learning in 2017? This might change your mind
  • Machine intelligence still requires gray matter
  • Why artificial intelligence will never be smart enough to replace a good leader
  • Is the fusion of AI and cloud the future?
  • A primer on personal AI assistants
  • Visual Introduction to Machine Learning
  • In-depth Introduction to Machine Learning

 

Share this:

  • Twitter
  • Facebook
  • LinkedIn
  • Email
  • Pinterest

Like this:

Like Loading...

A to Z of Digital

19 Monday Jun 2017

Posted by Max Hemingway in Automation, Cobotics, Digital, Innovation, IoT, Machine Learning, Open Source, Programming, Robotics, Security, Social Media, Tools, Wearable Tech

≈ 26 Comments

Tags

Automation, Blockchain, Cobot, Digital, IoT, Machine Learning

ABCBeing Digital, Journey to Digital, Digital, 21st Century Humans, are phrases that are common place in many conversations around business and technology. But what does it mean to be “Digital”.  This is a wide subject to cover in a single blog post, so here is an A-Z of Digital to help.

I will break these down in further blog posts going into each subject in more detail.

A – Automation

The manual tasks of today should be the automated tasks of tomorrow, achieved using tools that interface with systems using API’s and commands that join them together to carry out tasks. From turning your heating on using an application to automatically carrying out a set of repetitive tasks to allow other more complex tasks to be undertaken.

B- Blockchain

A blockchain is a distributed database that is used to maintain a continuously growing list of records, called blocks. Each block contains a timestamp and a link to a previous block. A blockchain is typically managed by a peer-to-peer network collectively adhering to a protocol for validating new blocks. By design, blockchains are inherently resistant to modification of the data. (Wikipedia).

C – Cobots

Cobots are Robots that are adapted and programmed to work and interact with humans in various tasks and levels of activity. Imagine you’re working buddy is a cobot that can perform tasks hand in hand with you, take over if you need to do something else, increase its speed of completing the tasks, then sense your return and slow to the speed your working at.

D – Digital

“Digital” is an umbrella word that covers many different topics. There are many definitions available, but for me this is about how we unlock the capabilities available today and use them to better our lives and society. From a business view this is about growth and transforming through processes and technology. Being Digital is not necessarily about having the latest gadgets, but more around how you are using them and what you do.

E – Evolution

Evolution covers the advancements and new technologies that are being discovered and created every day.  There are lots of new ideas and products coming out of sites such as crowdfunding and crowdsourcing sites, some work however some do fail. These sites are worth tracking to see what developments are coming around the corner.

F – Fitness Trackers

Fitness trackers are probably one of the most common wearable that is available today and have been around for a number of years.  Trackers have developed to include a wide range of functionality including heart rate, blood pressure, location, altitude making the data useful to the health and medical industries to understand how we lead our lives.

G – Geolocation

Geolocation ties into a lot of the items in this list and provides a basis for providing location and tracking capabilities for devices and applications. It is also used to locate and pinpoint where users are. Some services cannot be consumed these days without agreeing to having this information shared with a site. The most common type of application in wide use is a Sat Nav.

H – Hybrid

Hybrid is used as a term to describe a mix of public and private services, such as a Hybrid Cloud where services can be mixed between traditional on premise/data centre services and cloud services, providing some control or orchestration layer across both to allow users to consume based on policy or requirements.

I – IoT

IoT (Internet of Things) is where physical things are connected by the internet using embedded sensors, software, networks and electronics. This allows the items to be managed, controlled and reported on. There are many reports estimating the number of IoT devices likely to be connected in the future, these are between 20 and 50 Billion devices by the year 2020.

J – Jacking

Jacking is a term used when you plug into something. Body Jacking is a growing area where the body is being used from generating power through movement to implanting chips to interact with the environment such as open a door or unlock a computer. This also covers Bioables which collect data on your body such as glucose levels using sensors that penetrate into the under the skin.

K – Knowledge

Understanding what is going on in your streams, market places and industries is a big task. Lots of information coming in on a daily basis – drinking from the fire hose, not able to consume it all. Creating your Personal Knowledge Management System will help navigate the sea of information and pick out what is key to your situation and what can be dropped.

L – Legal

With the increasing about of things interacting with our daily lives, the area of Legal and Security play a big part. There are a number of important questions to ask – Where is your data being stored and who actually owns it. Is your data secure and have you implemented all the right controls? What does Legistlation such as GDPR mean to you?

M – Machine Learning

Machine Learning (ML) allows a computer to learn and act without being explicitly programmed with that knowledge. An example of Machine Learning Algorithm is a web search engine that brings up a number of results based on your search criteria and shows which could be most relevant to what you are looking for.

N –  Networks

Networks and connectivity form the backbone of the systems in use today. Using a number of different types of network from Cellular (3G, 4G) to traditional networking and futures of 5G and Neural Networks speeding up how we create, consume and process data.

O – Organisation

Infrastructure as Code looks at making hardware being able to controlled at a code level, allowing Microservices and the ability to consume capability quickly. The next stage is the Organisation as Code. A great example of an Organsation as Code is Uber, building services and the supporting organisation in the cloud that allows it to be consumed anywhere and the drivers to login and become part of that organistation for the period that they are employed.

P – Programming

Everyone should learn to code. Learning to code (Programme) in a language like Scratch, Python, Java, C, etc. The ability to code will allow someone to understand how they can automate a task using tools and API’s.

Q – Quantum Computing

A computer which makes use of the quantum states of subatomic particles to store information (Dictionary). Quantum Computers are being developed with the ability to compute data at an exponential rate allowing for quick computing of complex data.

R – Robots

The vision of Robots has been around in early Science Fiction and are very much a reality today. From an automated manufacturing plant to a robot to help you shop and carry out tasks. The field of robotics is advancing bring in Artificial Intelligence and Machine Learning to boost their capabilities and means to learn, self-think and complete tasks.

S – Social

Being social is not just around how you use the tools and what you tweet, but also what you don’t say and being Social Media savvy on your communications. There is a large number of social tools available with some well-known such as Twitter, Facebook and Linked in to those not so. It is also about how you organise your life with these tools and use them for productivity and security.

T – Twenty First Century Digital

The term 21st Century Digital applies to the current century and how you are using Digital to better your organisation and yourself. The LEF (Leading Edge Forum) has information that covers these two topics as the 21st Century Organisation and 21st Century Human.

U – Usability

The usability and user experience of devices is key.  Understandoing and being able to interact with devices is important. If a someone can’t use the application or device they may start looking for an alternative that they can use.

V – Visionables

Visionables moves the wearables market to technologies that help enhance our experiences through what we see. This covers things like Smart Glasses, Virtual Reality, Augmented Reality and Mixed Reality.

W – Wearables

The field of wearables is expanding with more ways to attach sensors and record data about our daily lives. This typically covers anything that you can wear or attach to your body and in the main interfaces with a mobile to be the central data point, although many devices operate separately and can transmit data themselves.

X – Xperience

Xperience covers how we use these technologies and advancements to shape our lives and the effects that they have on them. How we have moved from the days of the first computer to today’s wearable and interactive society.

Y – Yottabyte

Yottabyte is a term used to define an amount of storage.  The prefix yotta indicates multiplication by the eighth power of 1000 or 1024 (Wikipedia). The amount of storage used today is seeing huge daily growth with systems currently using petabytes of data. The trends will increase the amount of storage needed to hold data.

Z – Zabeta

Zabeta is a noun meaning Tarrif or Tax. As we move to a more automated society there is a view point that automation and robots should be Taxed.

This is my current A to Z and some of the entries may be different in your version. Do you agree with the list? Whats in your “A to Z of Digital”?

 

Share this:

  • Twitter
  • Facebook
  • LinkedIn
  • Email
  • Pinterest

Like this:

Like Loading...

Visual Introduction to Machine Learning

03 Monday Aug 2015

Posted by Max Hemingway in Data Science, Machine Learning

≈ 2 Comments

Tags

Data, Data Science, Machine Learning

I came across this “Visual Introduction to Machine Learning” in a forum. This is an experimental site showing statistical thinking with an interactive web page. The page builds as you scroll down and takes you through a journey of Machine Learning.

It provides a high level graphical view of:Machine

  • Nuance
  • Drawing boundaries
  • Machine learning
  • Forks
  • Tradeoffs
  • Best splits
  • Recursion
  • Trees
  • Making predictions

The URL in the Web page indicates that this is part 1 so hopefully there will be more to follow with the first page indicated further posts on “overfitting, and how it relates to a fundamental trade-off in machine learning”

You can follow this project on Twitter @r2d3us

Other posts on Machine Learning

  • In-depth Introduction to Machine Learning
  • Learning Data Science

Share this:

  • Twitter
  • Facebook
  • LinkedIn
  • Email
  • Pinterest

Like this:

Like Loading...

Learning Data Science – Useful References

14 Tuesday Jul 2015

Posted by Max Hemingway in Big Data, Data Science, Machine Learning, Open Source

≈ 1 Comment

Tags

Big Data, Data, Data Science, Knowledge, Machine Learning

Firstly thanks to Tim Osterbuhr who prompteLearningd me to create this list of resources that I have found useful in learning about Data Science after he read my blog post on Learning Data Science. Tim has also provided some of the likes below as well.

Here is the list of Useful References for Learning Data Science. (This list is be no means exhaustive)

From my Blog

  • Learning Data Science
  • Data Science in the Cloud ebook
  • Data Science and Information Theory
  • Data Mining Courses
  • Open Source, Open Human, Open Data, Open Sesame!
  • Data Scientist Skill Set
  • R {swirls} – Learning R by doing
  • Correlation does not imply causation
  • Statistical Inference Resources

From Around the Web

  • 6 checkpoints to ensure regression model validity for analytics
  • Algorithms: Design and Analysis
  • Analyzing Big Data with Twitter
  • Big Data Analytics: Descriptive Vs. Predictive Vs. Prescriptive
  • Data Analysis
  • Data Mining for the Masses
  • Data Science Course
  • Google Visualization API Reference
  • k-means clustering
  • Occam’s Razor
  • PCA Step by Step
  • Regression Equation: What it is and How to use it
  • Using JavaScript visualization libraries with R

Public Data Sets

  • http://www.cs.cmu.edu/~./enron/
  • http://www.secviz.org/content/the-davix-live-cd
  • http://www.caida.org/data/overview/
  • http://www.secviz.org/content/visual-analytics-workshop-with-worlds-leading-security-visualization-expert-0
  • http://snap.stanford.edu/data/
  • http://analytics.ncsu.edu/
  • https://code.google.com/p/google-refine/

Data Science Books

  • 9 Free Books for Learning Data Mining & Data Analysis
  • 16 Free Data Science Books
  • 27 free data mining books

Happy to add other links from readers to this list.

Share this:

  • Twitter
  • Facebook
  • LinkedIn
  • Email
  • Pinterest

Like this:

Like Loading...

Techdays Online Azure Special

02 Tuesday Jun 2015

Posted by Max Hemingway in Architecture, Big Data, Cloud, DevOps/OpsDev, IoT, Machine Learning

≈ Leave a comment

Tags

Architecture, Big Data, Cloud, DevOps, IoT, Machine Learning, Open Source, OpsDev

Microsoft are running a Techdays Online Azure Special over the next 3 days

Registration is at https://info.microsoft.com/UK-Azure-WBNR-FY15-06Jun-Azure-Techdays-2015-Registration.html

  • June 02, 2015 09:00 AM – TechDays Online Azure Special Day One: Keynotes, IOT, Hybrid and Open Source
  • June 03, 2015 09:00 AM – TechDays Online Azure Special Day Two: Apps, Architecture, Big Data and Machine Learning
  • June 04, 2015 09:00 AM – TechDays Online Azure Special Day Three: Cloud Infrastructure and Dev Ops

Hopefully the sessions will be available offline after the event for reference and catch up.

Books

Share this:

  • Twitter
  • Facebook
  • LinkedIn
  • Email
  • Pinterest

Like this:

Like Loading...

Statistical Inference Resources

03 Tuesday Feb 2015

Posted by Max Hemingway in Data Science, Machine Learning

≈ 1 Comment

Tags

Data Science, Machine Learning, Statistical Inference

Here are some useful links and resources to learning Statistical Inference

  • Statistical Inference -Coursera Data Science series.
  • An Introduction to Statistical Learning with Applications in R
  • DSO 530: Applied Modern Statistical Learning Techniques
  • The Elements of Statistical Learning
  • Wikibook of Statistics
  • Introduction to Statistical Thought
  • Advanced Data Analysis from an Elementary Point of View
  • simpleR – Using R for Introductory Statistics
  • Forecasting: Principles and Practice

*check the sites for any appropriate rules around downloading of course.

Share this:

  • Twitter
  • Facebook
  • LinkedIn
  • Email
  • Pinterest

Like this:

Like Loading...

Machine Intelligence Landscape

10 Saturday Jan 2015

Posted by Max Hemingway in Data Science, Machine Learning

≈ Leave a comment

Tags

Data Science, Machine Learning

A great info sheet from http://www.shivonzilis.com/

Machine_Intelligence

Larger version of this can be found at: https://www.dropbox.com/s/qobt07e9skpk1z2/Machine_Intelligence_Landscape_12-10-2014.png?dl=0

Share this:

  • Twitter
  • Facebook
  • LinkedIn
  • Email
  • Pinterest

Like this:

Like Loading...

Technology Couch Podcast

Technology Couch Podcast

Topical discussions with different guests on Technology

Chat and views on latest Technology trends, news and what is currently hot in the industry

Max Hemingway

  • Listen on Apple Podcasts
  • Podcast RSS Feed

RSS Feed

RSS Feed RSS - Posts

Currently Reading

@HemingwayReads

Other Publications I contribute to

https://sparrowhawkbushcraft.com/

Recent Posts

  • How to Become a 21st Century Human: Navigating the Digital Age
  • The Intersection of Technology and Ethics
  • Data, Data Everywhere: The Rise of Datafication
  • “Digital Ash” – What we leave behind
  • Digital Mindset Tools – Second Brain

Categories

  • 21st Century Human
  • 3D Printing
  • Applications
  • Architecture
  • Arduino
  • Automation
  • BCS
  • Big Data
  • Certification
  • Cloud
  • Cobotics
  • Connected Home
  • Data
  • Data Fellowship
  • Data Science
  • Development
  • DevOps/OpsDev
  • Digital
  • DigitalFit
  • Drone
  • Enterprise Architecture
  • F-TAG
  • Governance
  • Health
  • Innovation
  • IoT
  • Machine Learning
  • Metaverse
  • Micro:Bit
  • Mindset
  • Mobiles
  • Networks
  • Open Source
  • Podcasts
  • Productivity
  • Programming
  • Quantum
  • Raspberry Pi
  • Robotics
  • Scouting
  • Scouts
  • Security
  • Smart Home
  • Social Media
  • Space
  • STEM
  • Tools
  • Uncategorized
  • Wearable Tech
  • Windows
  • xR

Archives

Reading Shelf

Archives

Recent Posts

  • How to Become a 21st Century Human: Navigating the Digital Age
  • The Intersection of Technology and Ethics
  • Data, Data Everywhere: The Rise of Datafication
  • “Digital Ash” – What we leave behind
  • Digital Mindset Tools – Second Brain

Top Posts & Pages

  • Building a Quadruped
  • Apps - Why do you really need access to my devices camera?
  • No Batteries Required: My Personal Journal
  • Personal Knowledge Management System - Revised for 2016
  • Taking your coding to the next level - Scratch to Python
  • Pwned on the Dark Web - Have you checked recently?
  • Personal Knowledge Management System – Revised for 2020
  • Data, Data Everywhere: The Rise of Datafication
  • Personal Knowledge Management System – Revised for 2023

Category Cloud

21st Century Human Architecture Automation Big Data Cloud Data Data Science Development DevOps/OpsDev Digital DigitalFit Enterprise Architecture Governance Innovation IoT Machine Learning Mindset Open Source Podcasts Productivity Programming Raspberry Pi Robotics Security Social Media STEM Tools Uncategorized Wearable Tech xR

Tags

# 3D Printing 21st Century Human Applications Architecture Automation BCS Big Data Blockchain Certification Cloud Cobot Cobotics Coding Communication Connected Home Continuous Delivery CPD Data Data Fellowship Data Science Delivery Development DevOps Digital DigitalFit Digital Human Docker Drone Email Encryption Enterprise Architecture Framework GTD Hashtag Infographic Information Theory Innovation IoT Journal Knowledge learning Machine Learning Metaverse MicroLearning Mindset Mixed Reality Networks Open Source OpsDev PKMS Podcasts Productivity Programming Proving It R RaspberryPI Robot Robotics Scouts Security Smart Home Social Media Standards Statistical Inference STEM Technology Couch Podcast Thinking Tools Training Visualisation Voice Wearable Tech Windows xR

License

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Meta

  • Register
  • Log in
  • Entries feed
  • Comments feed
  • WordPress.com

Blog at WordPress.com.

  • Follow Following
    • Max Hemingway
    • Join 72 other followers
    • Already have a WordPress.com account? Log in now.
    • Max Hemingway
    • Customize
    • Follow Following
    • Sign up
    • Log in
    • Report this content
    • View site in Reader
    • Manage subscriptions
    • Collapse this bar
 

Loading Comments...
 

    %d bloggers like this: