Venturebeat - Machine Learning

ExtremeTech - Machine Learning

  • Yakuza 6 Looks Great, Except For All Those Damn Jaggies
    Sixteen months after the initial Japanese release, those of us in the west have finally received a proper English-subbed PS4 release of Yakuza 6: The Song of Life -- and it's excellent, with one glaring downside.The post Yakuza 6 Looks Great, Except…
    - 2 days ago 20 Apr 18, 8:15pm -
  • Apple May Be Stuck With Pricier Samsung Displays for 2018 iPhones
    As LG spins up its mobile OLED production to compete with Samsung, it just can't make enough panels that are to Apple's liking.The post Apple May Be Stuck With Pricier Samsung Displays for 2018 iPhones appeared first on ExtremeTech.
    - 2 days ago 20 Apr 18, 7:33pm -
  • New Lego Education Sets Send You Rocketing Into Space
    Lego and First are kicking off a new, space-themed challenge with Mission Moon and Into Orbit. The post New Lego Education Sets Send You Rocketing Into Space appeared first on ExtremeTech.
    - 3 days ago 20 Apr 18, 6:44pm -
  • Google Abandons Allo Chat App to Focus on RCS Messaging
    Let's not sugarcoat this -- Allo is dead. Instead, Google is putting all its eggs in the RCS basket.The post Google Abandons Allo Chat App to Focus on RCS Messaging appeared first on ExtremeTech.
    - 3 days ago 20 Apr 18, 5:33pm -
  • ET Deals: Refurb Dell Latitude 13 7000 1080p 13.3-Inch Laptop for $649
    Right now, the PCMag Shop is selling two manufacturer-refurbished versions of the 13.3-inch Dell Latitude. One sports a full HD InfinityEdge display, and the other enjoys a quad HD InfinityEdge display, and both of them are incredible deals. Better y…
    - 3 days ago 20 Apr 18, 4:30pm -

Nuit Blanche

Microsoft - Machine Learning

  • Deploying Deep Learning Models on Kubernetes with GPUs
    This post is authored by Mathew Salvaris and Fidan Boylu Uz, Senior Data Scientists at Microsoft. One of the major challenges that data scientists often face is closing the gap between training a deep learning model and deploying it at production sca…
    - 4 days ago 19 Apr 18, 4:00pm -
  • Inventory Optimization Solution in the Azure AI Gallery
    This post is co-authored by Dmitry Pechyoni, Senior Data Scientist, Hong Lu and Chenhui Hu, Data Scientists, Praneet Solanki, Software Engineer, and Ilan Reiter, Principal Data Scientist Manager at Microsoft. For retailers, inventory optimization is…
    - 18 days ago 5 Apr 18, 4:00pm -
  • Intelligent Edge: Building a Skin Cancer Prediction App with Azure Machine Learning, CoreML & Xamarin
    This post is authored by Anusua Trivedi, Carlos Pessoa, Vivek Gupta & Wee Hyong Tok from the Cloud AI Platform team at Microsoft. Motivation AI has emerged as one of the most disruptive forces behind digital transformation and it is revolutionizing t…
    - 20 days ago 3 Apr 18, 4:00pm -
  • Training Many Anomaly Detection Models using Azure Batch AI
    This post is authored by Said Bleik, Senior Data Scientist at Microsoft. In the IoT world, it’s not uncommon that you’d want to monitor thousands of devices across different sites to ensure normal behavior. Devices can be as small as microcontrol…
    - 27 days ago 27 Mar 18, 4:00pm -
  • Training State-of-the-Art Neural Networks in the Microsoft Azure Cloud
    This is the third post in a three-part series by guest blogger, Adrian Rosebrock. Adrian writes at PyImageSearch.com about computer vision and deep learning using Python. He recently finished authoring a new book on deep learning for computer vis…
    - 33 days ago 21 Mar 18, 4:00pm -

insideBIGDATA

  • !3 Ways Marketers Should Use Data Science to Skyrocket Marketing Results
    In this contributed article, journalist Olivia Ryan provides 3 ways marketers should use data science to skyrocket marketing results. The purpose of “data science” is to solve complex problems that organizations face by means of analytics. In dig…
    - 16 hours ago 22 Apr 18, 3:30pm -
  • Data Capture Challenges No One Wants to Talk About
    In this contributed article, technology writer and blogger Kayla Matthews discusses 3 data capture challenges familiar to IT professionals and data scientists. There are numerous challenges IT professionals and data scientists encounter when striving…
    - 2 days ago 21 Apr 18, 3:30pm -
  • Kogniz Announces Launch of AICam – AI Surveillance Camera
    Kogniz, a California-based technology company, announced the introduction of the company’s first product, AICam. The technology offers businesses fully-autonomous surveillance cameras with artificial intelligence that identify people and threats in…
    - 3 days ago 20 Apr 18, 5:06pm -
  • 3 Reasons Why Machine Learning Should Matter to B2C Businesses Too
    In this contributing article, Pratik Dholakiya, Co-Founder, CMO of E2M, provides 3 reasons why machine learning should matter to business-to-consumer (B2C) businesses too. There is a lot of talk about how machine learning, AI, and big data can be use…
    - 3 days ago 20 Apr 18, 3:30pm -
  • Big Data Analytics Receive a “Spark” In the Arm
    In this special guest feature, Anand Venugopal, head of StreamAnalytix at Impetus Technologies, discusses real-time streaming analytics applications and how companies can use Apache Spark for data processing and analytics functionality. Real-time dat…
    - 4 days ago 19 Apr 18, 3:30pm -

The Conversation - Machine Learning

Daniel Lemire

  • !Enough with the intrusive updates!
    This week-end, I went to my gaming PC in my living room. The PC did not respond when I grabbed the mouse. Puzzled, I pressed the “on” button on the PC. Then I saw that Microsoft saw fit to update my PC while I wasn’t looking. I had configured t…
    - 7 hours ago 23 Apr 18, 12:25am -
  • !Science and Technology links (April 22nd, 2018)
    You probably can’t write the two forms of the letter g, even if you have seen them thousands and thousands of times. Some neurodegenerative diseases might result from a fungal infection. This would include diseases like Parkinson’s. The theory se…
    - 14 hours ago 22 Apr 18, 5:18pm -
  • By how much does AVX-512 slow down your CPU? A first experiment.
    Intel is finally making available processors that support the fancy AVX-512 instruction sets and that can fit nicely in a common server rack. So I went to Dell and ordered a server with a Skylake-X microarchitecture: an Intel Xeon W-2104 CPU @ 3.20GH…
    - 3 days ago 19 Apr 18, 7:13pm -
  • Iterating in batches over data structures can be much faster…
    We often need to iterate over the content of data structures. It is surprisingly often a performance bottleneck in big-data applications. Most iteration code works one value at a time… for value in datastructure { do something with value } There is…
    - 6 days ago 17 Apr 18, 5:15pm -
  • Introducing GapminderVR: Data Visualization in Virtual Reality
    I am a big fan of sites such as Gapminder and Our World in Data. Such data visualization sites are like intellectual pornography. You want to know which countries are doing better? Which continents drink more alcohol? How is alcohol related to GDP? H…
    - 6 days ago 17 Apr 18, 3:33am -

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: https://github.com/apple/tur…
    - 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

  • Deploying Deep Learning Models on Kubernetes with GPUs
    This post is authored by Mathew Salvaris and Fidan Boylu Uz, Senior Data Scientists at Microsoft. One of the major challenges that data scientists often face is closing the gap between training a deep learning model and deploying it at production sca…
    - 4 days ago 19 Apr 18, 4:00pm -
  • Inventory Optimization Solution in the Azure AI Gallery
    This post is co-authored by Dmitry Pechyoni, Senior Data Scientist, Hong Lu and Chenhui Hu, Data Scientists, Praneet Solanki, Software Engineer, and Ilan Reiter, Principal Data Scientist Manager at Microsoft. For retailers, inventory optimization is…
    - 18 days ago 5 Apr 18, 4:00pm -
  • Intelligent Edge: Building a Skin Cancer Prediction App with Azure Machine Learning, CoreML & Xamarin
    This post is authored by Anusua Trivedi, Carlos Pessoa, Vivek Gupta & Wee Hyong Tok from the Cloud AI Platform team at Microsoft. Motivation AI has emerged as one of the most disruptive forces behind digital transformation and it is revolutionizing t…
    - 20 days ago 3 Apr 18, 4:00pm -
  • Training Many Anomaly Detection Models using Azure Batch AI
    This post is authored by Said Bleik, Senior Data Scientist at Microsoft. In the IoT world, it’s not uncommon that you’d want to monitor thousands of devices across different sites to ensure normal behavior. Devices can be as small as microcontrol…
    - 27 days ago 27 Mar 18, 4:00pm -
  • Training State-of-the-Art Neural Networks in the Microsoft Azure Cloud
    This is the third post in a three-part series by guest blogger, Adrian Rosebrock. Adrian writes at PyImageSearch.com about computer vision and deep learning using Python. He recently finished authoring a new book on deep learning for computer vis…
    - 33 days ago 21 Mar 18, 4:00pm -

Machinalis

  • 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

  • !Introduction to Random Number Generators for Machine Learning in Python
    Randomness is a big part of machine learning. Randomness is used as a tool or a feature in preparing data and in learning algorithms that map input data to output data in order to make predictions. In order to understand the need for statistical meth…
    - 12 hours ago 22 Apr 18, 7:00pm -
  • How To Know if Your Machine Learning Model Has Good Performance
    After you develop a machine learning model for your predictive modeling problem, how do you know if the performance of the model is any good? This is a common question I am asked by beginners. As a beginner, you often seek an answer to this question,…
    - 4 days ago 19 Apr 18, 7:00pm -
  • The Model Performance Mismatch Problem (and what to do about it)
    What To Do If Model Test Results Are Worse than Training. The procedure when evaluating machine learning models is to fit and evaluate them on training data, then verify that the model has good skill on a held-back test dataset. Often, you will get a…
    - 6 days ago 17 Apr 18, 7:00pm -
  • How to Get the Most From Your Machine Learning Data
    The data that you use, and how you use it, will likely define the success of your predictive modeling problem. Data and the framing of your problem may be the point of biggest leverage on your project. Choosing the wrong data or the wrong framing for…
    - 8 days ago 15 Apr 18, 7:00pm -
  • Analytical vs Numerical Solutions in Machine Learning
    Do you have questions like: What data is best for my problem? What algorithm is best for my data? How do I best configure my algorithm? Why can’t a machine learning expert just give you a straight answer to your question? In this post, I want to he…
    - 11 days ago 12 Apr 18, 7:00pm -