Venturebeat - Machine Learning

ExtremeTech - Machine Learning

Nuit Blanche

  • Sunday Morning Insight: LightOn Cloud: Light Based Technology for AI on the Cloud
    As some of you may know, part of the reason I am little less active on Nuit Blanche these days stems from being involved with LightOn. At LightOn, we build hardware that uses light to perform computations of interest to Machine Learning, in short, we…
    - 4 days ago 18 Feb 18, 5:03pm -
  • Posters: SysML 2018 Conference
    There is currently the SysML 2018 Conference at Stanford and while the Live Stream is over, the poster session is taking place. Here are the presentations of each poster:Session I: 4:30pm - 6:00pm1-1 A SIMD-MIMD Acceleration with Access-Execute D…
    - 4 days ago 18 Feb 18, 12:47am -
  • Saturday Morning Videos: IPAM Workshop on New Deep Learning Techniques
    Yann mentioned it on its twitter feed, the videos and slides of the IPAM workshop on New Deep Learning Techniques is out. Enjoy !Samuel Bowman (New York University)Toward natural language semantics in learned representations Emily Fox (University of…
    - 5 days ago 17 Feb 18, 9:34pm -
  • Paris Machine Learning Meetup #6 Season 5: Nano-neurons, Drug design, Electronic Health Records...
    Merci à Zenika de nous accueillir et de sponsoriser le networking event.Pour s'inscrire, c'est ici. Premier arrivé, premier assis. Video streaming:Au programme de ce meetup nous aurons:Julier Grollier qui nous parlera de ses avancées en architect…
    - 8 days ago 14 Feb 18, 8:25am -
  • Economic Impact of Compressive Sensing
    Rich just let me know of the following:Hi Igor -I hope all goes well!I’m not sure i told you about this earlier, but here are two examples of compressive sensing success in industry. might be interesting links for your CS blog site?Siemens and 10-…
    - 10 days ago 12 Feb 18, 6:00am -

Microsoft - Machine Learning


  • !Interview: Kobi Stok, Vice President, Product at WalkMe
    I recently caught up with Kobi Stok, Vice President, Product at WalkMe, to give an insiders view for how his company is using AI to predict how/when you're using a mobile app, and how companies can use this info to push customized campaigns to preven…
    - 20 hours ago 21 Feb 18, 4:30pm -
  • insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 2)
    The insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning white paper explores how AI, machine learning and deep learning are transforming the retail industry in many positive directions. As artificial neural…
    - 2 days ago 20 Feb 18, 4:30pm -
  • Is Cloud Machine Learning Right For Your Business?
    In this contributed article, tech writer Linda Gimmeson identifies how new opportunities are being created almost on a daily basis by initiatives in machine learning and artificial intelligence for innovators to offload their analysis and research th…
    - 3 days ago 19 Feb 18, 4:30pm -
  • 5 Business Intelligence Myths, Debunked
    In this special guest feature, Scott Yates, Senior Director, Operations at HGS offers the top five business intelligence myths, debunked. While companies today have access to troves of customer and industry data, most continue to take a passive appro…
    - 3 days ago 19 Feb 18, 4:30pm -
  • Are We Creating a Secure Enterprise Internet of Things (EIoT)?
    The Enterprise Internet of Things (EIoT) has a great deal of potential: it can enable retailers to increase cost efficiencies, improve the overall customer experience, increase brand loyalty and revenues. However, there remain some fundamental EIoT i…
    - 4 days ago 18 Feb 18, 4:30pm -

The Conversation - Machine Learning

Daniel Lemire

  • Iterating over set bits quickly
    A common problem in my line of work is to iterate over the set bits (bits having value 1) in a large array. My standard approach involves a “counting trailing zeroes” function. Given an integer, this function counts how many consecutive bits are…
    - 1 day ago 21 Feb 18, 3:58am -
  • Science and Technology links (February 16th, 2018)
    In all countries, in all years–without exception–girls did better than boys in academic performance (PISA) tests. Vinod Khosla said: There are, perhaps, a few hundred sensors in the typical car and none in the body. A single ad shown to you on Fa…
    - 5 days ago 17 Feb 18, 12:40am -
  • Science and Technology links (February 9th, 2018)
    We shed 50 million skin cells every day. A mutant crayfish reproduces by cloning. To my knowledge, this might be the largest animal to reproduce by cloning. Before about 25 years ago, the species simply did not exist (…) it has spread across much o…
    - 13 days ago 10 Feb 18, 12:23am -
  • Don’t underestimate the nerds
    I’m a little nerdy. According to my wife, I even look like a nerd. I am not very big. I have a long resume posted online, and I’ll proudly post my follower count, but if you meet me in person, I am unlikely to come across as “impressive”. I d…
    - 17 days ago 5 Feb 18, 9:57pm -
  • Science and Technology links (February 2nd, 2018)
    Most mammals, including human beings, age according to a Gompertz curve. It is a fancy way of saying that your risk of death goes up exponential with age. Naked mole rats are mammals that do not age, in the following sense: unlike all other mammals s…
    - 20 days ago 2 Feb 18, 4:33am -

Large Scale Machine Learning

  • Apple shares Turi Create open source framework
    It is very exciting that after many years of hard work, we have finally released our machine learning framework as open source! The announcement made yesterday at NIPS by Prof. Carlos Guestrin:And here is our github link:…
    - 75 days ago 9 Dec 17, 5:30am -
  • Prof. Joseph Keshet from BIU fools deep learning
    My friend Joseph (Yossi) Keshet have recently released work for fooling deep learning systems. His work got a lot of attendion including MIT Technology Review and the New Scientist. Nice work!!
    - 8 Sep 17, 5:51pm -
  • Dataiku raised 28M$
    According to VentureBeat Dataiku just raised 28M$. Dataiku has a web based platform for data science.Here is my personal connection. Strangely last time I wed a couple I was wearing their t-shirt.Unrelated, I just learned from my colleague Brian that…
    - 8 Sep 17, 5:45pm -
  • Deepgram - Audio Search with Deep Learning
    A very interesting podcast by Sam Charrington who is interviewing Scott Stephenson from DeepGram. DeepGram is using deep learning activations for creating indexes that allows to search text in voice recordings.DeepGram have released Kur which is a hi…
    - 5 Sep 17, 4:19am -
  • Some misc news
    I just learned my postdoc roommate Yisong Yue from Caltech released a new interesting paper: Factorized Variational Autoencoders for Modeling Audience Reactions to Movies: a joint work with Disney Research, published @ CVPR 2017.Another interesting p…
    - 27 Jul 17, 6:07am -

Technet - Machine Learning


  • Two quick takeaways from MLconf
    The very best two talks of MLconf were given by women: June Andrews and Franziska Bell. Worried about the gender gap in data science? Here, have some, knock yourself out.Counter Intuitive Machine Learning for the Industrial Internet of ThingsJune A…
    - 13 Nov 17, 3:34pm -
  • UX and Machine Learning
    Do you remember those old cartoons where a mad scientist creates a weapon that can make anything gigantic? They would shoot an innocent and cute rabbit and turn it into a huge and cruel beast the size of Godzilla. I always wondered why an innocent an…
    - 3 Nov 17, 7:32pm -
  • Blank check for Machine Learning investments?
    During our years of work dealing with problems in the industry around Machine Learning, we’ve observed that one of the key moments in a company is the one when it has to define where to invest. For other possible investments, decision makers have u…
    - 15 Aug 17, 2:16pm -
  • Presenting at the PyData London meetup
    Last week I had the chance to speak at the 32nd PyData London meetup. For those who haven't been there, the PyData London meetup community is the biggest one around (it recently went over 5000 members!). But it's not just big, it's always an opport…
    - 21 Mar 17, 1:39pm -
  • PyConAr 2016
    A few days ago (November 25, 26 and 27th) the 8th edition of PyCon Argentina took place in Bahía Blanca, a city 600km to the south of Buenos Aires, and I was lucky enough to be able to go with a group of other people from Machinalis.PyConAr is the…
    - 7 Dec 16, 8:02pm -

Alex Woods - Machine Learning

  • Dijkstra’s Algorithm in Python
    Dijkstra’s algorithm is one of the key algorithms we hear about within computer science. It can be slightly less accessible to beginners because you have to know what a weighted, directed graph is.  The algorithm takes a starting node and outputs…
    - 2 Oct 16, 9:17pm -
  • Terminal
    Being able to navigate around your file system is a key skill, and it can really speed up your workflow. Here is a set of what I think are some really useful terminal commands and tips. Note – My terminal has the current directory right after the a…
    - 16 Sep 16, 8:28pm -
  • Counting is Hard
    Combinatorics and Probability—I love this kind of math. Here are some interesting problems I’ve gotten most of these from classes I’ve taken. Two of them (the triangle one and the combinatorial proof one) took me a few hours to solve, and each…
    - 10 Sep 16, 5:15pm -
  • Entropy
    Information theory sits comfortably in between electrical engineering and statistics / machine learning. It’s founding came from the 1948 masters thesis of Claude Shannon—arguably the most important masters thesis ever written. In “A Mathematic…
    - 10 Apr 16, 4:14pm -
  • Great Paper on AdaBoost
    In the past week, I really enjoyed this paper. It’s about boosting, which arose as a solution to the question—“Can a set of weak learners create a strong learner?” The solution is pretty fascinating. You basically pit a bunch of weak learners…
    - 10 Feb 16, 1:06am -

Machine Learning Mastery

  • Top Resources for Learning Linear Algebra for Machine Learning
    How to Get Help with Linear Algebra for Machine Learning? Linear algebra is a field of mathematics and an important pillar of the field of machine learning. It can be a challenging topic for beginners, or for practitioners who have not looked at the…
    - 2 days ago 20 Feb 18, 6:00pm -
  • Gentle Introduction to Eigendecomposition, Eigenvalues, and Eigenvectors for Machine Learning
    Matrix decompositions are a useful tool for reducing a matrix to their constituent parts in order to simplify a range of more complex operations. Perhaps the most used type of matrix decomposition is the eigendecomposition that decomposes a matrix in…
    - 4 days ago 18 Feb 18, 6:00pm -
  • A Gentle Introduction to Matrix Factorization for Machine Learning
    Many complex matrix operations cannot be solved efficiently or with stability using the limited precision of computers. Matrix decompositions are methods that reduce a matrix into constituent parts that make it easier to calculate more complex matrix…
    - 7 days ago 15 Feb 18, 6:00pm -
  • A Gentle Introduction to Tensors for Machine Learning with NumPy
    In deep learning it is common to see a lot of discussion around tensors as the cornerstone data structure. Tensor even appears in name of Google’s flagship machine learning library: “TensorFlow”. Tensors are a type of data structure used in lin…
    - 9 days ago 13 Feb 18, 6:00pm -
  • A Gentle Introduction to Matrix Operations for Machine Learning
    Matrix operations are used in the description of many machine learning algorithms. Some operations can be used directly to solve key equations, whereas others provide useful shorthand or foundation in the description and the use of more complex matri…
    - 11 days ago 11 Feb 18, 6:00pm -