This simple video covers the very basics of predicate logic ( first order logic) used in knowledge representation . It starts with operators and covers examples later.

Machine Learning represents a new paradigm in programming, where instead of programming explicit rules in a language such as Java or C++, you build a system which is trained on data to infer the rules itself. But what does ML actually look like? In part one of Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) walks through a basic Hello World example of building an ML model, introducing ideas which we’ll apply in later episodes to a more interesting problem: computer vision.

Try this code out for yourself in the Hello World of Machine Learning → https://goo.gle/2Zp2ZF3

This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish.

Watch more Coding TensorFlow → https://bit.ly/Coding-TensorFlow
Subscribe to the TensorFlow channel → http://bit.ly/2ZtOqA3

This six-part video series goes through an end-to-end Natural Language Processing (NLP) project in Python to compare stand up comedy routines.

– Natural Language Processing (Part 1): Introduction to NLP & Data Science
– Natural Language Processing (Part 2): Data Cleaning & Text Pre-Processing in Python
– Natural Language Processing (Part 3): Exploratory Data Analysis & Word Clouds in Python
– Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python
– Natural Language Processing (Part 5): Topic Modeling with Latent Dirichlet Allocation in Python
– Natural Language Processing (Part 6): Text Generation with Markov Chains in Python

All of the supporting Python code can be found here: https://github.com/adashofdata/nlp-in-python-tutorial

In Part 1 of our 3 part interview, Jürgen Schmidhuber begins with an overview of what artificial intelligence is, describes his work at the Swiss Laboratory of Artificial Intelligence, and gives his opinion on the idea of a “singularity” in the future.
For the rest of the interview, and to see extra content from Part 1, go to http://www.Kidela.com

This episode is all about taking your AE2 game to the next level. We’ll cover Quantum Link chambers which allow you to transmit your network wirelessly over an infinite distance, even cross-dimensionally! We’ll also dabble in a little bit of sub-networking but the majority of the video is devoted to the power of P2P tunnels which allow for some seriously compact setups.

[QUICK JUMP]
0:15 – Quantum Link Chambers
2:52 – P2P Tunnels (all variants except ME)
7:55 – P2p Tunnels – ME
14:16 – Sub Networks
18:13 – Visualizing P2P & Compact setups

[More AE2 Tutorials]
AE2 – EP01 – A Beginner’s Guide – https://youtu.be/AjrMS4EhBEU
AE2 – EP02 – Your First Network – https://youtu.be/sD2GknUv1cM
AE2 – EP03 – Autocrafting – https://youtu.be/os5EYegEudE

P2P Conversion Recipes:
http://ae-mod.info/P2P-Tunnel/

[MODPACK & MOD VERSION]
DW20 1.12
Applied Energistics 2 rv5-stable-4

ABOUT US]
We are TheMindCrafters and we make tutorials/LPs/and Spotlights on our favorite (and guest requested) Minecraft mods, blocks, and modpacks
Our Site – http://theMindCrafters.com
Live Chat – http://theMindCrafters.com/#chat

After browsing and trying out over 4 different courses from multiple learning platforms this course from PY4E really stood out. Without any programming knowledge, I used this course to build my own payroll and incentive calculation system for my organization that employs over 100 people. Course Curator Certified Best Python Cousre on the Web. Dr. Charles Severance is truely a gifted educator who can simplify complex topics in to easy to USE, bite sized episodes that help you learn whats needed to start building applications right away!
Please visit https://www.py4e.com/ to get additional information on the course.
You can take this course for a certificate as the Python for Everybody Specialization on Coursera at https://www.coursera.org/specializations/python

Overview and demo of using Apache OpenNLP library in R to perform basic Natural Language Processing (NLP) tasks like string tokenizing, word tokenizing, Parts of Speech (POS) tokenizing

This is a getting started guide covering demos of OpenNLP coding in R

AI (artificial intelligence)

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision.

AI can be categorized as either weak or strong. Weak AI, also known as narrow AI, is an AI system that is designed and trained for a particular task. Virtual personal assistants, such as Apple’s Siri, are a form of weak AI. Strong AI, also known as artificial general intelligence, is an AI system with generalized human cognitive abilities. When presented with an unfamiliar task, a strong AI system is able to find a solution without human intervention.

Because hardware, software and staffing costs for AI can be expensive, many vendors are including AI components in their standard offerings, as well as access to Artificial Intelligence as a Service (AIaaS) platforms. AI as a Service allows individuals and companies to experiment with AI for various business purposes and sample multiple platforms before making a commitment. Popular AI cloud offerings include Amazon AI services, IBM Watson Assistant, Microsoft Cognitive Services and Google AI services.

While AI tools present a range of new functionality for businesses ,the use of artificial intelligence raises ethical questions. This is because deep learning algorithms, which underpin many of the most advanced AI tools, are only as smart as the data they are given in training. Because a human selects what data should be used for training an AI program, the potential for human bias is inherent and must be monitored closely.

Some industry experts believe that the term artificial intelligence is too closely linked to popular culture, causing the general public to have unrealistic fears about artificial intelligence and improbable expectations about how it will change the workplace and life in general. Researchers and marketers hope the label augmented intelligence, which has a more neutral connotation, will help people understand that AI will simply improve products and services, not replace the humans that use them.

Music Credit :
Martian Cowboy Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/b… http://incompetech.com/ http://audionautix.com/ http://audionautix.com/

Part of Speech tagging does exactly what it sounds like, it tags each word in a sentence with the part of speech for that word. This means it labels words as noun, adjective, verb, etc. PoS tagging also covers tenses of the parts of speech.

This is normally quite the challenge, but NLTK makes this pretty darn simple!

sample code: http://pythonprogramming.net
http://hkinsley.com
https://twitter.com/sentdex
http://sentdex.com
http://seaofbtc.com

I’m showing how to setup the Virtual Agent on your personal dev, how to activate the OOB conversations (topics) and how to make it work on your Service Portal.
Part 2: https://www.youtube.com/watch?v=YZvCJahzZ7k

Record on the London release.

Professor Stuart Russell discusses his seminar on the rise of intelligent machines, what the goals of their creation are and how to make the consequences good, and not bad at IP EXPO Europe 2017. The world renowned AI pioneer who wrote the standard text on AI reveals his thoughts on its future and what that means for humanity in general at www.ipexpoeurope.com.

At CES 2017 in Las Vegas, NVIDIA founder and CEO Jen-Hsun Huang describes the company’s dedication to solving some of the most challenging computing problems ever: gaming, virtual reality, supercomputing and self-driving cars. And how GPU deep learning has ignited the revolution in artificial intelligence that will transform our lives.

Thank you to all Patreons! Thank you Patriots, friends, followers, and foes. God Bless America, and God Bless the freedoms we still yet possess. If you want to start stacking with me here is my website: https://www.7kmetals.com/ladyliberty
If you’re willing to help the channel continue and donate toward new equipment please visit here: https://www.patreon.com/ladyliberty17
Email me any questions here: Ladyliberty@countermail.com

Max Tegmark Life 3.0 Being Human in the Age of Artificial Intelligence Part 02

Presentation was hold during the Oct 17, 2018 Meetup: “Biased? – About the story you didn’t know you’re telling”

https://www.meetup.com/de-DE/Artificial-Intelligence-Suisse/events/gbnvppyxlbmc/

Charles Fadel is a global education thought leader and futurist, author and inventor, with several active affiliations; his work spans the continuum of Schools, Higher Education, and Workforce Development/Lifelong Learning:

Founder and chairman of the Center for Curriculum Redesign (Boston, Massachusetts), focused on “Making Education More Relevant” and answering the question: “What should students learn for the 21st century? In an age of Artificial Intelligence”

He has contributed to and has been featured by media such as National Public Radio (NPR), the Canadian Broadcasting Corporation (CBC), the Huffington Post, eSchool News, Education Week, University Business, Technology & Learning, and many others.

His most recent, ground-breaking book “Artificial Intelligence in Education” has just been published. His former, highly influential book “Four-Dimensional Education” has been translated in ten languages (framework in 20 languages) including Spanish, Portuguese, Russian, German, mandarin Chinese, Japanese and Korean. He is also the co-author of best-selling book “21st Century Skills” (Wiley) which has become a worldwide moniker, and has been translated in mandarin Chinese (simplified, and traditional), Korean and Russian.

Charles consults selectively with high-potential jurisdictions, schools, universities, corporations and foundations around the globe. He has contributed to education projects in more than thirty countries, including Australia, Brazil, Canada, Chile, Finland, the Netherlands, New Zealand, South Africa, South Korea, Sweden, Switzerland, Tunisia, and the United States, to name a few.

Charles has been awarded seven patents on: video (3), social networking (2), web content (1), and communication (1) technologies. He holds a bachelor of science in electronics with course concentration in quantum/solid-state physics, and a master of business administration in international marketing. He also attended courses in electrical engineering at the master level, with electives in neuroscience and statistics. An avid reader, he has autodidactically learned emerging disciplines such as evolutionary psychology. He also enjoys the lessons of classical history.

ReConnect WORLD PREMIERE Tickets: https://londonreal.link/reconnect

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Dr Ben Goertzel is the Founder and CEO of SingularityNET and Chief Science Advisor for Hanson Robotics.

He is one of the world’s leading experts in Artificial General Intelligence (AGI), with decades of expertise in applying AI to practical problems like natural language processing, data mining, video gaming, robotics, national security and bioinformatics.

He was part of the Hanson team which developed the AI software for the humanoid Sophia robot, which can communicate with humans and display more than 50 facial expressions.Today he also serve as Chairman of the AGI Society, the Decentralized AI Alliance and the futurist nonprofit organisation Humanity+.

Watch the FULL EPISODE here: https://londonreal.tv/e/dr-ben-goertzel/

DR BEN GOERTZEL

Website: http://goertzel.org/

Twitter: https://twitter.com/bengoertzel

About London Real:

Founded by Brian Rose in 2011. London Real is the curator of people worth watching. Our mission is to promote personal transformation through inspiration, self-discovery and empowerment.
We feature interesting guests with fascinating stories and unique perspectives on life. We aim to take viewers on a journey through the lives of others and ultimately inspire them to embark on one of their own.

Don’t miss our weekly episodes, hit subscribe: http://bit.ly/SubscribeToLondonReal

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#TransformYourself

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Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of “intelligent agents”

Organizers: Jason (Jinquan) Dai Location: Room 151 A-C & G Time: 0900-1200 (Half Day — Morning) Description: Recent breakthroughs in artificial intelligence applications have brought deep learning to the forefront of new generations of data analytics. In this tutorial, we will pre-sent the practice and design tradeoffs for building large-scale deep learning applications (such as computer vision and NLP) for production data and workflow on Big Data platforms. In particular, we will provide an overview of emerging deep learn-ing frameworks for Big Data (e.g., BigDL, TensorFlow-on-Spark, Deep Learning Pipelines for Spark, etc.), present the underlying distributed systems and algorithms, and discuss innovative data analytics + AI application pipelines (with a focus on computer vision models and use cases) for Big Data platforms and workflows. Schedule: 0900 Motivation 0910 Overview 0930 Analytics Zoo for Spark and BigDL 1000 Morning Break 1030 Distributed Training and Inference 1100 Advanced Applications 1130 Real-World Applications 1150 Q&A

Keynote “Intelligent continuous improvement, when BPM meets AI” by Miguel Valdés (Bonitasoft CEO and co-founder) at the 15 International Conference on Business Process Management (BPM 2017)

Abstract: Artificial Intelligence (AI) technologies are evolving faster than ever thanks to the maturity of cloud computing, BigData and the accessibility of predictive and machine learning algorithms and frameworks. But, is BPM software ready to embrace AI?
Through continued modernisation BPM platforms goes beyond traditional process automation and optimisation use cases to play a key role in digital transformation in organisations of all sizes. Modern BPM applications requirements include advanced end user interfaces (UIs), access to big volumes of business data and real time updates of those processes, UIs and data. AI will be the next major wave of innovation in BPM.
In this session we will discuss the challenges and opportunities involved in the shift towards the use of AI technologies in BPM. We will particularly cover uses cases in which AI enables intelligent continuous improvement of business processes and BPM applications. We will also discuss about pros and cons of different AI technologies when it relates to BPM.

Bio: Miguel leads Bonitasoft mission: to democratize Business Process Management (BPM), bringing powerful and affordable BPM to organizations and projects of all sizes. Bonitasoft builds a BPM-based application platform to create customized business applications without the cost and rigidity of long, unpredictable custom development cycles. As the world’s fastest-growing BPM provider, Bonitasoft has thousands of customers and an open source community of more than 120,000 members. Prior to Bonitasoft, Miguel led R&D, pre-sales and support for the BPM division of Bull Information Systems, a major European systems provider. Miguel is a recognized thought-leader in business process management and passionate about open source community building.

This is the eighth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

This is the ninth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

Charles Fadel is a global education thought leader and futurist, author and inventor, with several active affiliations; his work spans the continuum of Schools, Higher Education, and Workforce Development/Lifelong Learning:

Founder and chairman of the Center for Curriculum Redesign (Boston, Massachusetts), focused on “Making Education More Relevant” and answering the question: “What should students learn for the 21st century? In an age of Artificial Intelligence”

He has contributed to and has been featured by media such as National Public Radio (NPR), the Canadian Broadcasting Corporation (CBC), the Huffington Post, eSchool News, Education Week, University Business, Technology & Learning, and many others.

His most recent, ground-breaking book “Artificial Intelligence in Education” has just been published. His former, highly influential book “Four-Dimensional Education” has been translated in ten languages (framework in 20 languages) including Spanish, Portuguese, Russian, German, mandarin Chinese, Japanese and Korean. He is also the co-author of best-selling book “21st Century Skills” (Wiley) which has become a worldwide moniker, and has been translated in mandarin Chinese (simplified, and traditional), Korean and Russian.

Charles consults selectively with high-potential jurisdictions, schools, universities, corporations and foundations around the globe. He has contributed to education projects in more than thirty countries, including Australia, Brazil, Canada, Chile, Finland, the Netherlands, New Zealand, South Africa, South Korea, Sweden, Switzerland, Tunisia, and the United States, to name a few.

Charles has been awarded seven patents on: video (3), social networking (2), web content (1), and communication (1) technologies. He holds a bachelor of science in electronics with course concentration in quantum/solid-state physics, and a master of business administration in international marketing. He also attended courses in electrical engineering at the master level, with electives in neuroscience and statistics. An avid reader, he has autodidactically learned emerging disciplines such as evolutionary psychology. He also enjoys the lessons of classical history.

This is the seventh video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

This is the sixth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

This is the tenth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

This is the fifth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

This is the fourth video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

http://robotsarestealingyourjobs.wordpress.com

I sat down with Professor Toby Walsh, an expert on artificial intelligence to get his thoughts on the future of AI and employment in our increasingly automated workforce.

Julia Zolkiewska behind the camera

Artificial intelligence is coming – so how’s it going to change our reality?

In March of this year, Google’s artificial intelligence, AlphaGo, beat one of the top human intelligences, Lee Sedol, at the strategically mind-boggling board game Go.

Experts had thought we were years away, but the computer played elegant, creative moves to outfox a Go master. So are we on the brink of an AI revolution? I asked Dr Peter Bentley, a computer scientist from University College London, for some expert insight:

Peter Bentley, a computer scientist at University College London, says “since the beginning of artificial intelligence research, one of the main ways that we have tested the intelligence of our computers is to ask them to play games with us, and the progression towards the recent victory has been a long one. But in all of these cases playing games is a hugely simple task.”

In a game there’s a clear ‘winning’ outcome and it’s a closed environment, so the spectrum of possibilities can be accurately predicted. A Go stone will not suddenly turn into a chess piece, for example, or a sausage. Google wants to transfer AlphaGo to real world situations, like medicine. So how does an AI brought up on boardgames hold up in the real world?

“It’s a very pure clean simple problem, playing a game. The rules are precise, there is no fuzziness, you either are allowed to do that or you are not allowed to do it, and actually real intelligence is completely nothing to do with precision. Real intelligence is about surviving in a horrible, complicated, messy world that’s trying to kill you, that’s what intelligence is for! That’s why organisms have intelligence – to survive! So playing a computer game is a neat trick,” says Bentley.

Bentley also states, “one of the things that’s coming through now is an increasing use of computers to do creative things, that’s computers composing music, creating artwork, doing exotic special effects in movies – all sorts of really unusual things that we might not think of but a computer does think of it – for a long time there’s been a long debate what is creativity? Could a computer ever be creative? And the news is yes it can be. Not only can it be creative, it can do things that really amaze us and make us think, holy crap I wish I’d thought of that.”

Artificial intelligence will change our lives. Already AlphaGo’s first victim says he’s learned to play better by playing against the machine. Imagine what we will learn as AI is unleashed onto our world.

Part 01 – Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, .

Part 02 – Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, .

The ASU Origins Project is a transdisciplinary initiative that nurtures research, energizes teaching, and builds partnerships, offering new possibilities for .

This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future.
Who is this class for: This class is for people who would like to learn more about machine learning techniques, but don’t currently have the fundamental mathematics in place to go into much detail. This course will include some exercises that require you to work with code. If you’ve not had much experience with code before DON’T PANIC, we will give you lots of guidance as you go.
Topic Covered:
Fuctions
Definition of a derivative
Differentiation examples & special cases
differentiate some functions
Time saving rules
Product rule
Chain rule
Variables, constants & context
Differentiate with respect to anything
Jacobians – vectors of derivatives
Jacobian applied
The Sandpit
The Sandpit -2
The Hessian
Multivariate chain rule
Neural Networks
Simple neural networks
Power series
Visualising Taylor Series
Power series derivation
Power series details
Multivariable Taylor Series
Linearisation
Multivariate Taylor
Gradient Descent
Gradient descent in a sandpit
Lagrange multipliers
Constrained optimisation
Simple linear regression
Non-linear regression
******************************************************************
This course is created by Imperial College London
If you like this video and course explanation feel free to take the
complete course and get certificate from: https://www.coursera.org/specializations/mathematics-machine-learning

This video is provided here for research and educational purposes in the field of Mathematics. No copyright infringement intended. If you are content owner would like to remove this video from YouTube, Please contact me through email: ict_hanif@yahoo.com
*******************************************************************

This is the third video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

This is the second video to my image recognition basics series. Image recognition can be used for all sorts of things like facial recognition, identifying what is in pictures, character recognition, and more.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

Part 02 – Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, .

Part 01 – Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, .

Elon Musk and other panellists talk AI and answer the question: “If we succeed in building human-level Artificial general intelligence (AGI), then what are the .