#ML Weekly 20151005 – The Best New Machine Learning Content of the Week

  • More-flexible machine learning
  • Machine learning helps build better applications
  • Machine learning powers Splunk’s rise | #BigDataNYC
  • Qualcomm Showcases Machine Learning On A Snapdragon SoC |
  • Microsoft + Machine Learning Can Help You Look Younger #StrataHadoop
  • Qualcomm Demos Server-Class Machine Learning with Zeroth – xda-developers

#ML Weekly 20150915 – The Best New Machine Learning Content of the Week

  • Wandera uses machine learning to protect against new mobile security threats
  • Machine Learning and Its Impact on Cyber-Security – insideBIGDATA
  • Building Intelligence into your Apps with Azure Machine Learning with Corom Thompson (Channel 9)
  • Free 5-week course on data science and machine learning essentials begins Sept. 24 – WinBuzzer
  • Apple’s Quest for Machine Learning Services Bumps up against Privacy Protection – The Mac Observer

#ML Weekly 20150907 – The Best New Machine Learning Content of the Week

  • 15 Players that Use Machine Learning in FinTech Space – Let’s Talk Payments
  • Machine learning: Mainstream tools for your business | ZDNet
  • Auction site Trade Me trials machine learning in the cloud | ZDNet
  • Machine Learning Method: Semi-Supervised Clustering
  • FeatureFu: A Machine Learning Toolkit Released as Open Source by LinkedIn
  • Twitter Is Using Machine Learning to Improve Its Machine Learning

#ML Weekly 20150901 – The Best New Machine Learning Content of the Week

“Qualcomm’s Snapdragon 820 uses machine learning to fight malware”; “PayPal Fights Fraud with Machine Learning and ‘Human Detectives’”; “A Gentle Guide to Machine Learning”; “Machine Learning 2.0: What’s Old Is New Again”; “Alibaba’s artificial intelligence platform aids machine learning without need for coding – CloudHub”;


#ML Weekly 20150825 – The Best New Machine Learning Content of the Week

“Featurizing Data: Spark and Beyond: Leverage data transformation capabilities in Spark with Machine Learning”; “An Introduction to Distributed Machine Learning”; “5 Techniques To Understand Machine Learning Algorithms Without the Background in Mathematics – Machine Learning Mastery”; “4 Machine Learning Algorithms That Shape Your Life”;


Microsoft Azure Machine Learning Cheat Sheet v6 – Released today

The Microsoft Azure Machine Learning team just released a new version of the ML Algorithm Cheat Sheet to cover the latest ML algorithm choices. For a deeper discussion of the different types of machine learning algorithms, how they’re used, and how to use this cheat sheet for choosing the right algorithm, see How to choose[…]


#ML Weekly 20150817 – The Top Machine Learning Content of the Week

Top New Content of the Week: “‘Machine teaching’ holds the power to illuminate human learning”; “How Machine Learning Changes the Game”; “‘Machine teaching’ holds the power to illuminate human learning”; “New software that use geometric matching and machine learning to mimic humans’ perception –”; “Managing unbalanced data for building machine learning models”;


New Book: Machine Learning Projects for .NET Developers

Here’s a new book which is receiving a positive reception Machine Learning Projects for .NET Developers   Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project[…]


Christopher Bishop: The future of Machine Learning is "Machine Teaching"

Christopher Bishop, a Distinguished Scientist from Microsoft, is leading an effort called ‘Machine Teaching’.  It will allow anyone to teach a computer how to do machine learning tasks, even if that person has no expertise in data analysis or computer science.  As machine learning becomes more widespread, more applications will start to leverage the power[…]


Best Machine Learning & AI Cloud Services in the Market

Microsoft Azure Machine Learning / Microsoft Project Oxford Cloud-based predictive analytics and publishing of APIs on the cloud.   Its allows you to Modal your way Deploy in minutes Expand your reach Project Oxford, leveraging Azure Machine Learning, allows developers to create smarter apps, which can do things like recognize faces and interpret natural language even[…]


ML101: How to Choose a Machine Learning Algorithm for Multi-class Classification Problems

In classification, the target variable is categorical and unordered..  To solve a multi-class classification problem, we typically choose one of the following supervised learning algorithms in machine learning.   Algorithm Accuracy Training Time Linearity Parameters Additional Comments Multiclass Logistic regression ★☆☆ ★★★ ★★★ 5 Multiclass Decision Forest ★★★ ★★☆ ★☆☆ 6 Multiclass Decision Jungle ★★★[…]