- Top KDnuggets tweets, Jun 8-14: All-in-one Docker image for Deep Learning; Good Book list for Data lovers - Jun 15, 2016.
Good Book list for #Data lovers; OpenAI - a living collection of important and fun problems; All-in-one #Docker image for #DeepLearning; 10 Useful #Python #DataVisualization Libraries for Any Discipline;
- How Much Will A.I. Surprise Us? - Jun 15, 2016.
Why think about what neural networks (and AI in general) can do that we can already do, when he real question that we should be asking is this: What will A.I. be able to do that we can’t even dream of?
- Project Murphy Microsoft Bot Framework AI - Jun 10, 2016.
With Microsoft AI-based Bot Framework you can add the bot on Skype, Messenger, Telegram, ... and ask it questions like: "What if Charlie Chaplin was a baby?" or "What if Beethoven was a rockstar!" The results are always fun.
- Deep Learning, Pachinko, and James Watt: Efficiency is the Driver of Uncertainty - Jun 8, 2016.
A reasoned discussion of why the next generation of data efficient learning approaches rely on us developing new algorithms that can propagate stochasticity or uncertainty right through the model, and which are mathematically more involved than the standard approaches.
Pages: 1 2
- Ethics in Machine Learning – Summary - Jun 6, 2016.
Still worried about the AI apocalypse? Here we are discussion about the constraints and ethics for the machine learning algorithms to prevent it.
- Deep Learning and Neuromorphic Chips - May 12, 2016.
The 3 main ingredients to creating artificial intelligence are hardware, software, and data, and while we have focused historically on improving software and data, what if, instead, the hardware was drastically changed?
- Top KDnuggets tweets, May 4-10: Understanding the Bias-Variance Tradeoff; Python, MachineLearning, & Dueling Languages - May 11, 2016.
Understanding the Bias-Variance Tradeoff; Python, MachineLearning, & Dueling Languages; Why AI development is going to get even faster; Why Implement #MachineLearning Algorithms From Scratch?
- Artificial Intelligence ‘Chatbots’ – When or if? - May 9, 2016.
Chatbots can have extensive applications, now that Facebook is considering to implement AI in their Messenger and WhatsApp platforms. We examine 3 main factors that will determine the success of chatbots.
- Top KDnuggets tweets, Apr 27 – May 3: Trifecta: Python, Machine Learning, and Dueling Languages; Fun game 4 #MachineLearning newbies - May 4, 2016.
Trifecta: #Python, #MachineLearning, + Dueling Languages; Cartoon: When #Automation Goes Too Far; #AI Speed: 2-year old #xkcd cartoon: cannot check if a photo has a bird; Removing Duplicates in #BigData.
- Top KDnuggets tweets, Apr 12-26: The Race For AI: Google, Facebook, Amazon, Apple; Comprehensive Guide to Learning #Python - Apr 27, 2016.
Data Science helps see where your country will stand in WW 3; Recommender Systems: New Comprehensive Textbook; Good read: Deep Learning in Neural Networks - extreme summary; The Race For #AI: Google, Facebook, Amazon, Apple rush to grab #AI startups.
- Microsoft is Becoming M(ai)crosoft - Apr 25, 2016.
This post is an overview and discussion of Microsoft's increasing investment in, and approach to, artificial intelligence, and how their philosophy differs from their competitors.
- Wade and Wendy AI: Sr. Data Scientist - Apr 1, 2016.
Wade & Wendy is a newly funded, VC backed company that’s bringing artificial intelligence / machine learning to the recruiting / HR space with the mission of making the process more human for both applicants and hiring managers.
- PocketConfidant AI: Computational Linguist (NLP/AI) - Mar 26, 2016.
Rely on the user behavior data to design and implement Machine Learning algorithms and methods of Natural Language Processing to build smart conversational robots. Make user experience personal, proactive and empathetic.
- Ethics In Machine Learning: What we learned from Tay chatbot fiasco? - Mar 25, 2016.
As Microsoft chatbot Tay showed, Machine Learning brings us into a new world where our views on ethics and political correctness will be challenged. ML learns from us. In both good and bad ways, it reflects what we really are.
- AlphaGo is not the solution to AI - Mar 21, 2016.
The field will be better off without an bust cycle it is important for people to keep and inform a balanced view of successes and their extent. AlphoGo might be a step forward for the AI community, but it is still no way close to the true AI.
- Top KDnuggets tweets, Mar 07-15: Great collection of Must Know Tips/Tricks in #DeepLearning - Mar 16, 2016.
Great collection of Must Know Tips/Tricks in #DeepLearning; 4 Lessons for Brilliant #DataVisualization; 12 Apps with a Billion+ active Users - less time now to get to 1B users;Timeline of Artificial Intelligence #AI victories, 1997-3041, Chess, Jeopardy, Go.
- AI and Machine Learning: Top Influencers and Brands - Mar 8, 2016.
Onalytica gives us a new list of the top 100 Artifical Intelligence and Machine Learning influencers and brands, and provides some insight into the relationships between them.
- What Dog Breed is That? Let AI “fetch” it for you! - Feb 25, 2016.
Recently released AI app identifies dog breed information from pictures and mixes some fun too.
- Deep Learning is not Enough - Feb 9, 2016.
Deep Learning has real successes, but is not enough to reach artificial intelligence, according to latest KDnuggets Poll. For more complex problems, should pure neural-net approaches be combined with symbolic, knowledge-based methods?
- AI Supercomputers: Microsoft Oxford, IBM Watson, Google DeepMind, Baidu Minwa - Feb 1, 2016.
In the world of AI, this is the equivalent of the US and USSR competing to put their guy on the moon first. Here is a profile of some of the giants locked into the AI space race.
- Beyond the Fence, and the Advent of the Creative Machines - Jan 25, 2016.
Creative machines have been making their influence felt for some time, but an upcoming stage production challenges preconceived notions of what art is.
Pages: 1 2
- What Is Machine Intelligence Vs. Machine Learning Vs. Deep Learning Vs. Artificial Intelligence (AI)? - Jan 14, 2016.
A discussion of three major approaches to building smart machines - Classic AI, Simple Neural Networks, and Biological Neural Networks - and examples as to how each approach might address the same problem.
- Data By the Bay: Data Science and Engineering in Four Directions - Nov 16, 2015.
The main goal of Data By the Bay is connecting the best data engineers, data scientists and data-driven startup leaders with each other. Co-located conferences will focus on Data, Text, Democracy, AI and IoT, and Life Sciences, May 17 - 20, 2016.
- Deep Learning, Language Understanding, and the Quest for Human Capacity Cognitive Computing - Nov 16, 2015.
To develop cognitive computing at human capacity understanding, deep learning research must heed what certain aspects of human symbol processing reveal about the architecture of the human mind.
- KDnuggets™ News 15:n36, Nov 4: Integrating R, Python; Neural Net in 11 lines; Top 20 AI/Machine Learning books - Nov 4, 2015.
Integrating Python and R; A Neural Network in 11 lines; Amazon Top 20 Books in AI, Machine Learning; How Big Data is used in Recommendation Systems to change to change our lives; Data Science of IoT.
- AnalyticsVidhya Interview with Gregory Piatetsky-Shapiro, President KDnuggets - Oct 17, 2015.
AnalyticsVidhya wide-ranging interview with Gregory Piatetsky-Shapiro - origins of KDnuggets, founding of KDD, Learning Data Science, R vs Python, the risks and benefits of AI, Analytics in India, and more.
- Top KDnuggets tweets, Aug 18-24: Machine Learning Certifications, #DataScience Bootcamps; AshleyMadison Data Analysis - Aug 25, 2015.
Ashley Madison Data analysis: 86% male, 30-46 is the trouble zone; Paradoxes of #DataScience examined; AI Market Overview and more visuals; MachineLearning Certifications and Best #DataScience Bootcamps.
- Microsoft Research Faculty Summit #FacSumm, keynotes streamed live July 8-9 - Jul 2, 2015.
Microsoft Research Faculty Summit will be streamed live from Redmond, WA, July 8-9. 2015 event focuses on AI and will feature three keynote speakers and a panel.
- Juergen Schmidhuber AMA: The Principles of Intelligence and Machine Learning - Mar 9, 2015.
Jürgen Schmidhuber, pioneer in innovating Deep Neural Networks, answers questions on open code, general problem solvers, quantum computing, PhD students, online courses, and the neural network research community in this Reddit AMA.
- Top /r/MachineLearning posts, Feb 1-7: Music recognition, Text Understanding from scratch - Feb 9, 2015.
Shazam music recognition techniques, deep learning for text understanding, neuroscience history, Neural Turing Machines using Torch, and genetic algorithms are the top topics on Reddit last week.
- Top KDnuggets tweets, Feb 4-5: Clarifai Machine Learning software can understand what is in your videos - Feb 6, 2015.
Clarifai #MachineLearning software can understand what is in your videos; #BigData Lessons From @Netflix: comparing House of Cards and Macbeth insights; 2014 was the biggest year for #AI startups; Top Data Scientist @DPatil joined the #WhiteHouse as a data scientist-in-residence.
- Top /r/MachineLearning posts, Jan 25-31 - Feb 6, 2015.
Downsides to jobs in machine learning fields, AI learning materials, novel topic modelling techniques and weekly simple question threads are all topics of discussion this week on Reddit /r/MachineLearning.
- Top KDnuggets tweets, Jan 21-22: Palantir vs AirBnB – data mining to crack down on AirBnB hosts; AI program can beat almost any human in poker - Jan 23, 2015.
Palantir #datamining used by NYC to crack down on AirBnB hosts; #BigData 2015 Top Brands: @IBMBigData @BigDataExpo @CIOonline @WorldBank @Cloud; #Google #Dataflow pipeline tool can now run on #Spark; Cepheus #AI program can beat almost any human in #poker, even bluffs.
- Top /r/MachineLearning posts, Jan 11-17 - Jan 18, 2015.
SVMs, open source datasets, Bayesian decision theory, game AI, and deep learning visualizations are all featured in the past week's top /r/MachineLearning posts.
- KDnuggets™ News 15:n02, Jan 14: Research Leaders on key trends, top papers; Exclusive NYTimes interview - Jan 14, 2015.
Research Leaders on Data Mining key trends, top papers; Exclusive Interview with NYTimes Chief Data Scientist; Majority thinks AI not a threat; Cartoon: Hello, Singularity; Deep Learning in a Nutshell; How to make Privacy and Data Mining Compatible; ClearStory Data CEO on Collaborative Storyboards.
- Cartoon: Hello, Singularity - Jan 11, 2015.
New KDnuggets cartoon takes a look at what can happen when Artificial Intelligence (AI) achieves Singularity.
- AI Says Data Scientists Not So Sexy in 2015 - Jan 10, 2015.
In 2015, democratization of data will become the democratization of information, data-hoarding era will be end and artificial intelligence will step into the mainstream.
- Majority thinks Artificial Intelligence will not be a threat to Humanity - Jan 7, 2015.
The plurality of 48% in latest KDnuggets poll say Artificial Intelligence will not be a threat to Humanity, but really interesting and scary questions have been raised - perhaps humanity is a threat to progress?
- KDnuggets 14:n34, Is AI a threat? Most Demanded Skills; Cartoon: Unexpected recommendations; Watson vs Azure ML - Dec 17, 2014.
New Poll: Is AI a threat to humanity? Most Demanded Data Science Skills; Cartoon: Unexpected recommendations; IBM Watson vs Microsoft Azure Machine Learning and more Analytics, Big Data, Data mining, and Data Science stories.
- Top KDnuggets tweets, Dec 10-11: Which one is the bunny? Google new CAPTCHA trains AI; Big Data in 2015: Security, #IoT, data markets - Dec 12, 2014.
Which one is the bunny? Google new CAPTCHA trains #AI; Data Scientist Salary/Tools Survey finds #BigData scientists earn more; Microsoft brings the power of #MachineLearning to Office Online; Visual Sentiment Analysis: Researchers train #NeuralNets to rate images for #Happiness.
- New Poll: Will Artificial Intelligence be a threat to Humanity? - Dec 12, 2014.
New KDnuggets Poll is asking - Will Artificial Intelligence be a threat to Humanity? Please vote if you are human.
- Top KDnuggets tweets, Dec 3-4: Google funds Automatic Statistician project; Data Science Ontology, visualized - Dec 5, 2014.
Data Science Ontology, visualized; Holiday Gift Ideas for the Data & Statistically Interested; Google funds "Automatic Statistician" project; Nice Tutorial for R learners.
- Top KDnuggets tweets last week, Nov 17-23: Keep this #Python Cheat Sheet handy; Is #BigData The Most Hyped Technology? - Nov 24, 2014.
Keep this #Python Cheat Sheet handy when learning to code; Is #BigData The Most Hyped Technology Ever?; Huge advance by Stanford and Google: #AI software recognizes images, writes captions; 20 Insane Things That Correlate W/ Each Other.
- Top KDnuggets tweets, Nov 12-13: Predicting employees likely to leave; Hacker guide to Neural Nets and Machine Learning - Nov 15, 2014.
Workday #BigData Analysis can predict which employees likely to leave; Hacker's guide to Neural Networks and Machine Learning; Enough With 'Feel Good' #DataScience; Most Popular SlideShare Presentations on Data Mining.
- New Beginnings in Facial Recognition - Jun 28, 2014.
Developments in neural networks and deep learning are bringing great improvements in facial recognition, which could have exciting (and scary) applications on platforms like Google Glass.
- Top KDnuggets tweets, Jun 16-17: You cannot afford to ignore next #AI wave; 5 Companies doing #BigData Right - Jun 18, 2014.
You cannot afford to ignore next #AI wave - see early leaders; 5 Companies doing #BigData Right: Amazon, British Airways, eBay, Otto group, Netflix; Data Mining 200 years of Patents shows that invention is combinatorial; Cartoon: Big Data and World Cup Football.
- Top KDnuggets tweets, Feb 18-20: The six types of conversations on Twitter; 25 Free eBooks on Artificial Intelligence - Feb 21, 2014.
The six types of conversations on Twitter; 25 Free ebooks on AI: Introductions, Intelligent Agents, Vision; Practical Machine Learning: Innovations in Recommendation - free ebook download; First UK Data Science Summer School to open In August, free 5-week course.
- KDnuggets Exclusive: Part 2 of the Interview with Yann LeCun - Feb 20, 2014.
We discuss how far AI is likely to go, how Data Science to Statistics is like Computer Science was to Math, Big Data hype and reality, and advice to beginning Data Scientists.