- Put Responsible AI into Practice—
attend the digital event on December 7 - Nov 30, 2021.
Learn best practice guidelines for building AI solutions responsibly. Join AI experts from Microsoft and BCG at Put Responsible AI into Practice—a free Azure digital event on December 7.
AI, Microsoft, Microsoft Azure, Responsible AI
- Building Massively Scalable Machine Learning Pipelines with Microsoft Synapse ML - Nov 30, 2021.
The new platform provides a single API to abstract dozens of ML frameworks and databases.
Machine Learning, Microsoft, Pipeline, Scalability
- DATAnalyze 2021 Analytics Hackathon Sponsored by Microsoft and WorldData.AI, $125,000 in prizes! - Oct 21, 2021.
Tech Tree Root is excited to introduce you to our DATAnalyze 2021 sponsors Microsoft, WorldData.AI, and HBCU Connect! Our online analytics hackathon is offering up to $125,000 USD in prizes!
Analytics, Hackathon, Microsoft, WorldData.AI
- PASS Data Community Summit – Free Online Conference for Data Professionals - Oct 11, 2021.
PASS Data Community Summit 2021 is the year’s largest gathering of Microsoft data platform professionals. This FREE online conference (taking place November 8 – 12, 2021) features 200+ world-class speakers and sessions, and gives you the opportunity to connect, share, and learn with thousands of your peers from the global data platform community.
Cloud Computing, Data Analytics, Meetings, Microsoft, Online Education, PASS
- Fast AutoML with FLAML + Ray Tune - Sep 6, 2021.
Microsoft Researchers have developed FLAML (Fast Lightweight AutoML) which can now utilize Ray Tune for distributed hyperparameter tuning to scale up FLAML’s resource-efficient & easily parallelizable algorithms across a cluster.
Automated Machine Learning, AutoML, Hyperparameter, Machine Learning, Microsoft, Python, Ray
Do You Read Excel Files with Python? There is a 1000x Faster Way - Sep 1, 2021.
In this article, I’ll show you five ways to load data in Python. Achieving a speedup of 3 orders of magnitude.
Excel, Microsoft, Pandas, Python, Scalability
- KDnuggets™ News 21:n32, Aug 25: Open Source Datasets for Computer Vision; Django’s 9 Most Common Applications - Aug 25, 2021.
Open Source Datasets for Computer Vision; Django’s 9 Most Common Applications; How to Select an Initial Model for your Data Science Problem; Automate Microsoft Excel and Word Using Python; Stack Overflow Survey Data Science Highlights
Computer Vision, Datasets, Django, Microsoft, Modeling, Open Source, Python, StackOverflow
Charticulator: Microsoft Research open-sourced a game-changing Data Visualization platform - May 3, 2021.
Creating grand charts and graphs from your data analysis is supported by many powerful tools. However, how to make these visualizations meaningful can remain a mystery. To address this challenge, Microsoft Research has quietly open-sourced a game-changing visualization platform.
Data Visualization, Microsoft
- Microsoft Research Trains Neural Networks to Understand What They Read - Apr 7, 2021.
The new models make inroads in a new areas of deep learning known as machine reading comprehension.
Microsoft, Microsoft Research, Neural Networks, Research
- Microsoft Explores Three Key Mysteries of Ensemble Learning - Feb 8, 2021.
A new paper studies three key puzzling characteristics of deep learning ensembles and some potential explanations.
Ensemble Methods, Machine Learning, Microsoft
- Microsoft Uses Transformer Networks to Answer Questions About Images With Minimum Training - Jan 18, 2021.
Unified VLP can understand concepts about scenic images by using pretrained models.
Image Processing, Microsoft, Question answering, Training, Transformer
- Microsoft and Google Open Sourced These Frameworks Based on Their Work Scaling Deep Learning Training - Nov 2, 2020.
Google and Microsoft have recently released new frameworks for distributed deep learning training.
Deep Learning, Google, Microsoft, Open Source, Scalability, Training
- Computer Vision Recipes: Best Practices and Examples - Sep 2, 2020.
This is an overview of a great computer vision resource from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.
Best Practices, Computer Vision, Microsoft, Python
- Microsoft’s DoWhy is a Cool Framework for Causal Inference - Aug 28, 2020.
Inspired by Judea Pearl’s do-calculus for causal inference, the open source framework provides a programmatic interface for popular causal inference methods.
Causality, Inference, Machine Learning, Microsoft
- Machine Fairness: How to assess AI system’s fairness and mitigate any observed unfairness issues - May 26, 2020.
Microsoft is bringing the latest research in responsible AI to Azure (both Azure Machine Learning and their open source toolkits), to empower data scientists and developers to understand machine learning models, protect people and their data, and control the end-to-end machine learning process.
AI, Bias, Microsoft, Privacy, Responsible AI, Trust
- Machine Learning in Power BI using PyCaret - May 12, 2020.
Check out this step-by-step tutorial for implementing machine learning in Power BI within minutes.
Clustering, K-means, Machine Learning, Microsoft, Power BI, PyCaret, Python
- Microsoft Research Unveils Three Efforts to Advance Deep Generative Models - May 4, 2020.
Optimus, FQ-GAN and Prevalent bring new ideas to apply generative models at large scale.
GANs, Generative Adversarial Network, Microsoft, Microsoft Research
Natural Language Processing Recipes: Best Practices and Examples - May 1, 2020.
Here is an overview of another great natural language processing resource, this time from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.
Best Practices, Microsoft, NLP, Python
- Microsoft Research Uses Transfer Learning to Train Real-World Autonomous Drones - Mar 31, 2020.
The new research uses policies learned in simulations in real world drone environments.
Microsoft, Research, Transfer Learning
- Microsoft Open Sources ZeRO and DeepSpeed: The Technologies Behind the Biggest Language Model in History - Feb 24, 2020.
The two efforts enable the training of deep learning models at massive scale.
Microsoft, NLP
- Microsoft Open Sources Jericho to Train Reinforcement Learning Using Linguistic Games - Feb 3, 2020.
The new framework provides an OpenAI-like environment for language-based games.
Microsoft, NLP, Reinforcement Learning
Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem - Jan 20, 2020.
The new algorithm takes a novel approach to neural architecture search.
Algorithms, Microsoft, Neural Networks
Automated Machine Learning: How do teams work together on an AutoML project? - Jan 2, 2020.
In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.
Automated Machine Learning, AutoML, Azure ML, Data Science Team, Microsoft, Microsoft Azure
- Microsoft Introduces Icebreaker to Address the Famous Ice-Start Challenge in Machine Learning - Dec 16, 2019.
The new technique allows the deployment of machine learning models that operate with minimum training data.
Data Preparation, Machine Learning, Microsoft
- Top KDnuggets tweets, Oct 30 – Nov 05: Everything a Data Scientist Should Know About Data Management - Nov 6, 2019.
Which Data Science Skills are core and which are hot/emerging ones?; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral DataViz; Microsoft open sources #SandDance, a visual data exploration tool.
Data Management, Data Visualization, Microsoft, Top tweets
- This Microsoft Neural Network can Answer Questions About Scenic Images with Minimum Training - Oct 21, 2019.
Recently, a group of AI experts from Microsoft Research published a paper proposing a method for scene understanding that combines two key tasks: image captioning and visual question answering (VQA).
Image Recognition, Microsoft, Neural Networks, Question answering, Training
5 Famous Deep Learning Courses/Schools of 2019 - Sep 24, 2019.
Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.
AI, Coursera, Courses, Data Science, Data Science Education, Data Scientist, Deep Learning, edX, Microsoft, MIT, MOOC, Udacity
- Introducing IceCAPS: Microsoft’s Framework for Advanced Conversation Modeling - Sep 23, 2019.
The new open source framework that brings multi-task learning to conversational agents.
Microsoft, Multitask Learning, NLP
- Decentralized and Collaborative AI: How Microsoft Research is Using Blockchains to Build More Transparent Machine Learning Models - Jul 29, 2019.
Recently, AI researchers from Microsoft open sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine learning models based on blockchain technologies.
AI, Blockchain, Machine Learning, Microsoft, Transparency
- First hand experience from Uber, Microsoft & more at PAW in London - Jun 13, 2019.
Hear top practitioners describe the design, deployment and business impact of their machine learning projects at Predictive Analytics World London, 16-17 Oct 2019!
London, Microsoft, PAW, Predictive Analytics World, Uber, UK
- Delivering Trusted AI with DataRobot and Microsoft - Apr 26, 2019.
In this webinar, Apr 30 @ 1 PM ET, attendees will learn more about how their organizations can add AI to BI, making more predictive decisions along the way.
AI, DataRobot, Microsoft, Trust
- Xing, Heycar & Microsoft on stage at Deep Learning World in Munich - Mar 19, 2019.
Deep Learning World Munich is coming May 6-7 in Munich, Germany. You still have the chance to get your early bird pass until Apr 5. Secure your ticket for a lower price and access case studies and deep dives covering the commercial deployment of deep learning!
Deep Learning, Germany, Microsoft, Munich, PAW, Predictive Analytics World
- Reflections on the State of AI: 2018 - Feb 26, 2019.
We provide a detailed overview of the key developments in the AI space, focusing on key players, applications, opportunities, and challenges.
AI, AlphaStar, Azure ML, Bias, Deepfakes, Ethics, Google, Microsoft, MIT, Self-Driving Car, Startups, Trends, Uber, VC
Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 11, 2019.
We compare Gartner 2019 MQ for Data Science, Machine Learning Platforms to its previous versions and identify notable changes for leaders and challengers, including RapidMiner, KNIME, TIBCO, Alteryx, Dataiku, SAS, and MathWorks.
Alteryx, Data Science Platform, Dataiku, DataRobot, Gartner, Google, H2O, IBM, Knime, Machine Learning, Magic Quadrant, MathWorks, Microsoft, RapidMiner, SAS, TIBCO
- Join Microsoft, Google and Bilfinger at Deep Learning World – Berlin, 12 November - Sep 17, 2018.
Deep Learning World is coming to Berlin, Germany, Nov 12. Early bird rates until Sep 28. Register now!
Berlin, Germany, Google, Microsoft, PAW, Predictive Analytics World
- Remote Data Science: How to Send R and Python Execution to SQL Server from Jupyter Notebooks - Jul 27, 2018.
Did you know that you can execute R and Python code remotely in SQL Server from Jupyter Notebooks or any IDE? Machine Learning Services in SQL Server eliminates the need to move data around.
Jupyter, Machine Learning, Microsoft, Python, R, SQL, SQL Server
- Announcing Microsoft Research Open Data, a cloud hosted platform for sharing datasets - Jun 28, 2018.
Microsoft announces Microsoft Research Open Data, datasets representing many years of data curation and research efforts by Microsoft that were published as research outcomes.
Datasets, Microsoft, Microsoft Research, Research
- How to Execute R and Python in SQL Server with Machine Learning Services - Jun 25, 2018.
Machine Learning Services in SQL Server eliminates the need for data movement - you can install and run R/Python packages to build Deep Learning and AI applications on data in SQL Server.
Azure ML, Machine Learning, Microsoft, Python, R, SQL, SQL Server
- Comparing Deep Learning Frameworks: A Rosetta Stone Approach - Mar 26, 2018.
A Rosetta Stone of deep-learning frameworks has been created to allow data-scientists to easily leverage their expertise from one framework to another.
Caffe, CNTK, Deep Learning, GPU, Keras, Microsoft, MXNet, PyTorch, TensorFlow
Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI - Jan 22, 2018.
A complete and unbiased comparison of the three most common Cloud Technologies for Machine Learning as a Service.
Pages: 1 2
AI, Amazon, Azure ML, Cloud, Google, Google Cloud, Machine Learning, Microsoft, MLaaS, Sagemaker
- After the “Meltdown,” How Can You Protect Your Database? - Jan 8, 2018.
What Data Scientists should know about Meltdown and Spectre viruses and how to protect the potentially affected databases. The most important thing is to prevent outside parties from executing local Javascript code on your machine.
Cybersecurity, iDatalabs, Intel, Javascript, Meltdown, Microsoft, Security
- Key Takeaways from AI Conference in San Francisco 2017 – Day 2 - Oct 2, 2017.
Highlights and key takeaways from day 2 of AI Conference San Francisco 2017, including current state review, future trends, and top recommendations for AI initiatives.
Pages: 1 2
AI, CA, Conference, Deep Learning, Genomics, Michael Jordan, Microsoft, Neural Networks, O'Reilly, San Francisco
Data Scientists: What They Do and How to Become One - Aug 29, 2017.
Data science is growing, and will continue to grow for the foreseeable future. Whether you are a student or an expert, here are courses to help further your knowledge of this promising field.
Data Science, Data Science Education, edX, Microsoft, Programming, Python, UCSD
- PASS Summit – Deep Dive on Microsoft Data Platform, Seattle, Oct 31 – Nov 3 - Aug 22, 2017.
Excellence in Microsoft Data Platform learning is what PASS Summit is all about. Join us Oct 31 - Nov 3, 2017 in Seattle.
Business Intelligence, Microsoft, PASS, Seattle, WA
- Lessons Learned From Benchmarking Fast Machine Learning Algorithms - Aug 16, 2017.
Boosted decision trees are responsible for more than half of the winning solutions in machine learning challenges hosted at Kaggle, and require minimal tuning. We evaluate two popular tree boosting software packages: XGBoost and LightGBM and draw 4 important lessons.
Benchmark, Decision Trees, Kaggle, Machine Learning, Microsoft, XGBoost
- Microsoft: Principal Data Scientist (Artificial Intelligence & Deep Learning) - Jun 20, 2017.
Currently we are expanding our team to support projects that focus on Artificial Intelligence and Cognitive analytics. We are looking for an expert in this field from business/academia with extensive experience in this area.
AI, Artificial Intelligence, Data Scientist, Deep Learning, Microsoft, Redmond, WA
- The Power of Data and Collaboration to Improve Traffic Safety - May 8, 2017.
Datakind, in collaboration with Microsoft, completed significant data-driven projects to improve traffic safety and help save lives in New York City, Seattle, and New Orleans.
DataKind, Microsoft, New York City, Seattle, Social Good, Traffic
- What Top Firms Ask: 100+ Data Science Interview Questions - Mar 22, 2017.
Check this out: A topic wise collection of 100+ data science interview questions from top companies.
Algorithms, Data Science, Google, Hadoop, Interview Questions, Machine Learning, Microsoft, Statistics, Uber
Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers - Feb 23, 2017.
We compare Gartner 2017 Magic Quadrant for Data Science Platforms vs its 2016 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, MathWorks, Microsoft, and Quest.
Data Science Platform, Gartner, IBM, Knime, Magic Quadrant, MathWorks, Microsoft, Quest, RapidMiner, SAS
- Achieving Human Parity in Conversational Speech Recognition - Dec 13, 2016.
This is an overview of the paper which outlines, for the first time, a system has been developed that exceeds human performance in one of the most difficult of all human speech recognition tasks: natural conversations held over the telephone.
Acoustics, Deep Learning, Microsoft, Speech Recognition
- Microsoft: Principal Data Scientist - Oct 7, 2016.
Microsoft is seeking intelligent people to dive into data, make sense of it, and leverage data to solve large-scale problems Microsoft’s products.
Bellevue, Data Scientist, Microsoft, WA
- Microsoft Machine Learning Competition – Improve Women Health - Sep 16, 2016.
Enter Microsoft Women Health Risk Assessment competition, develop machine learning solutions to accurately categorize young women for their particular health risk. Enter now - submissions due Sep 30.
Competition, Health, Microsoft, Women
- Data Science for Beginners: Fantastic Introductory Video Series from Microsoft - Aug 3, 2016.
The remaining videos in Microsoft's Data Science for Beginners video series are available now. Have a look at what they offer.
Beginners, Brandon Rohrer, Cortana, Data Science, Microsoft, Microsoft Azure
- Data Science for Beginners 2: Is your data ready? - Jul 28, 2016.
This second video and write-up in the Data Science for Beginners series discusses what is required of your data before it can be useful.
Beginners, Data Preparation, Data Science, Microsoft
- Data Science for Beginners 1: The 5 questions data science answers - Jul 26, 2016.
A series of videos and write-ups covering the basics of data science for beginners. This first video is about the kinds of questions that data science can answer.
Beginners, Data Science, Microsoft, Question answering
- Microsoft: Sr. Applied Data Scientist. - Jun 23, 2016.
Microsoft is innovating rapidly in online advertising by providing the industry with the state-of-the-art online advertising platform and service. Bing Ads Marketplace and Serving (MnS) team is at the core of this effort, responsible for research & development of all the algorithmic components in our paid search advertising technology stack.
Bellevue, Data Scientist, Microsoft, Online advertising, WA
- Microsoft: Senior Software Engineer. - Jun 22, 2016.
What if your job description were simply “Make tomorrow better?” Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We drive machine intelligence. We help shape the future. We empower billions of people around the globe.
Bellevue, Microsoft, Software Engineer, WA
- What is Your Data Worth? On LinkedIn, Microsoft, and the Value of User Data - Jun 20, 2016.
The recent announcement of Microsoft’s acquisition of LinkedIn has raised many questions about how Microsoft will monetize this data. We examine LinkedIn value per user and compare to Google, Facebook, Yahoo, and Twitter.
Business Value, Facebook, Google, LinkedIn, Microsoft, Yahoo
- 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.
AI, Bots, Microsoft
- Microsoft: Senior Software Engineer - Jun 8, 2016.
What if your job description were simply “Make tomorrow better?” Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We drive machine intelligence. We help shape the future. We empower billions of people around the globe.
Bellevue, Microsoft, Software Engineer, WA
- Microsoft: Sr. Applied Data Scientist - Jun 7, 2016.
What if your job description were simply "Make tomorrow better?" Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We drive machine intelligence. We help shape the future. We empower billions of people around the globe.
Bellevue, Data Scientist, Microsoft, Online advertising, WA
- How Bing Predicts is forecasting everything from sports to political outcomes - May 13, 2016.
Bing Predicts is an innovative feature which now regularly makes headlines for its ability to analyze massive amounts of Web activity to forecast the outcomes of elections, voting-based reality TV shows, sports matchups and more.
Bing, Machine Learning, Microsoft
- 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.
AI, Bots, Chatbot, Cybersecurity, Facebook, Humans vs Machines, Microsoft
- Microsoft: Sr. Applied Data Scientist - May 5, 2016.
What if your job description were simply "Make tomorrow better?" Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We drive machine intelligence. We help shape the future. We empower billions of people around the globe.
Bellevue, Data Scientist, Microsoft, Online advertising, WA
- Microsoft: Senior Software Engineer - May 4, 2016.
What if your job description were simply “Make tomorrow better?” Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We drive machine intelligence. We help shape the future. We empower billions of people around the globe.
Bellevue, Microsoft, Software Engineer, WA
- 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.
AI, Artificial Intelligence, Computer Vision, Cortana, Machine Learning, Microsoft, Natural Language Processing, Speech Recognition
- How machine learning is making bots more human - Apr 25, 2016.
See how machine learning is making bots more human than ever - read the interview with a 17-year-old Chinese girl named XiaoIce who is actually a artificially intelligent chatbot.
Bots, Machine Learning, Microsoft
- Microsoft: Senior Software Engineer, Bing - Apr 18, 2016.
What if your job description were simply “Make tomorrow better?” That’s the essence of roles within our Bing Team. Every day, we bring an insatiable curiosity to the table, challenging ourselves to reimagine what is and what can be. We drive machine intelligence. We help shape the future. We empower billions of people around the globe.
Bellevue, Bing, Microsoft, Software Engineer, WA
- HPE Haven OnDemand and Microsoft Azure Machine Learning: Power Tools for Developers and Data Scientists - Mar 29, 2016.
While both HPE and Microsoft machine learning platforms offer numerous possibilities for developers and data scientists, HPE Haven OnDemand is a diverse collection of APIs for interacting with data designed with flexibility in mind, allowing developers to quickly perform data tasks in the cloud.
Pages: 1 2
Azure ML, Haven OnDemand, HPE, Microsoft, Prediction
- Data Science Tools – Are Proprietary Vendors Still Relevant? - Mar 25, 2016.
We examine and quantify the dramatic impact of open source tools like R and Python on SAS, IBM, Microsoft, and other proprietary Data Science vendors. We also investigate how open source tools were faring against each other, which are growing, which are falling, and look R versus Python debate.
Pages: 1 2
Data Science Tools, IBM, Microsoft, Open Source, Python, R, SAS
- 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.
AI, Bots, Chatbot, Ethics, Microsoft, MLconf, Seattle, Twitter, WA
- 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.
AI, Classification, Dogs, HowOldRobot, Image Recognition, Microsoft
- Microsoft Deep Learning Brings Innovative Features – CNTK Shows Promise - Feb 2, 2016.
Microsoft releases CNTK, a deep learning tool kit which shows promise. While a few innovative features set it apart from its competitors, a major drawback may hurt its adoption.
CNTK, Deep Learning, Matthew Mayo, Microsoft
- 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.
AI, Baidu, Chris Pearson, DeepMind, Google, IBM Watson, Microsoft, Minwa
- Microsoft: Senior Data Scientist - Dec 3, 2015.
Want to be at the forefront of Big Data? Want to ship features at a startup-like pace? If so, join the Microsoft Analysis and Experimentation team and help build a world-class experimentation platform that accelerates innovation.
Bellevue, Data Scientist, Microsoft, WA
- Microsoft: Data Solution Architect - Dec 2, 2015.
Drive high priority customer initiatives, leveraging Azure data services to solve the biggest and most complex data challenges faced by Microsoft enterprise customers.
Cloud Computing, Data Architect, Microsoft, Microsoft Azure, New York City, NY
- Customer Study – Dealing with dirty, smelly, horrible data? - Nov 12, 2015.
If you have hands on experience with data cleaning and data engineering, Microsoft Data Platform group would love to hear about your challenges. This is for early influence on product development (not sales).
Data Cleaning, Microsoft
- Microsoft: Data Scientist/Advanced Analytics Evangelist.. - Oct 27, 2015.
Looking for people passionate about both data science and education - design and develop end-to-end data science solutions, and deliver them in both product-driven and educational contexts.
Azure ML, Boston, CA, Data Science Education, Data Scientist, MA, Microsoft, Mountain View, Redmond, WA
- Microsoft: R Data Scientist.. - Oct 27, 2015.
Are you passionate about R? Use it to solve real-world analysis and predictive modeling problems? Contribute packages and improvements to CRAN? If yes, talk to us about joining Microsoft Azure ML Data Science team.
Azure ML, Boston, CA, Data Scientist, MA, Microsoft, Mountain View, R, Redmond, WA
- Microsoft: Data Scientists in Redmond, Boston or Mountain View.. - Oct 27, 2015.
Our vision is to make machine learning cloud technology accessible to every enterprise, data scientist, developer, information worker, consumer, and device anywhere in the world.
Azure ML, Boston, CA, Data Scientist, MA, Microsoft, Mountain View, Redmond, WA
- Microsoft: Data Scientists in Redmond, Boston or Mountain View - Aug 26, 2015.
Our vision is to make machine learning cloud technology accessible to every enterprise, data scientist, developer, information worker, consumer, and device anywhere in the world.
Azure ML, Boston, CA, Data Scientist, MA, Microsoft, Mountain View, Redmond, WA
- Microsoft: R Data Scientist. - Aug 26, 2015.
Are you passionate about R? Use it to solve real-world analysis and predictive modeling problems? Contribute packages and improvements to CRAN? If yes, talk to us about joining Microsoft Azure ML Data Science team.
Azure ML, Boston, CA, Data Scientist, MA, Microsoft, Mountain View, R, Redmond, WA
- Microsoft: Data Scientist/Advanced Analytics Evangelist. - Aug 26, 2015.
Looking for people passionate about both data science and education - design and develop end-to-end data science solutions, and deliver them in both product-driven and educational contexts.
Azure ML, Boston, CA, Data Science Education, Data Scientist, MA, Microsoft, Mountain View, Redmond, WA
- Top KDnuggets tweets, Jul 28 – Aug 03: Very nice Visual Introduction to Machine Learning; Microsoft Capitulation and The End of Windows Everywhere - Aug 4, 2015.
Very nice: A Visual Introduction to #MachineLearning; Microsoft, Capitulation and The End of Windows Everywhere; Data is Ugly - @importio Tales of #DataCleaning; 8 Tools That Show Whats on the Horizon for #Python
Art, import.io, Machine Learning, Microsoft, Python
- 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.
AI, Eric Horvitz, Microsoft, Research
- Microsoft: Data Scientist/ Advanced Analytics Evangelist - Jun 26, 2015.
Looking for people passionate about both data science and education - design and develop end-to-end data science solutions, and deliver them in both product-driven and educational contexts.
Azure ML, Boston, CA, Data Science Education, Data Scientist, MA, Microsoft, Mountain View, Redmond, WA
- Microsoft: R Data Scientist - Jun 26, 2015.
Are you passionate about R? Use it to solve real-world analysis and predictive modeling problems? Contribute packages and improvements to CRAN? If yes, talk to us about joining Microsoft Azure ML Data Science team.
Azure ML, Boston, CA, Data Scientist, Microsoft, Mountain View, R, Redmond, WA
- Microsoft: Data Scientists in Redmond, Boston and Mountain View - Jun 26, 2015.
Our vision is to make machine learning cloud technology accessible to every enterprise, data scientist, developer, information worker, consumer, and device anywhere in the world.
Azure ML, Boston, CA, Data Scientist, MA, Microsoft, Mountain View, Redmond, WA
- April 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity - May 8, 2015.
Apr 2015 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Microsoft + RevolutionR, Most-Funded Startups, VC says boom not bubble - look at valuations, and more.
Cloudera, Datazen, Domo, IBM Watson, Microsoft, MongoDB, Palantir, Revolution Analytics, Startups
- 10 reasons why how-old.net went viral and how does it work? - May 7, 2015.
10 reasons why how-old.net went viral and how does it actually works - classic linear regression on top of amazing face recognition.
Face Recognition, HowOldRobot, Joseph Sirosh, Microsoft
- Top KDnuggets tweets, Apr 27 – May 3: Attack of the #BigData Startups; Data Science from Scratch: First Principles with Python - May 4, 2015.
DataScience from Scratch: First Principles with Python; Attack of the #BigData Startups - @cbinsights maps the industries; Not accurate, but #fun ! See how old Microsoft thinks you are; US Chief Data Scientist @dpatil on #DataScience #BigData past and future.
DJ Patil, Face Recognition, Kirk D. Borne, Microsoft, NoSQL, Python, Startups
- Talking Machine – Deep Learning in Speech Recognition - May 2, 2015.
A summary about an episode on the talking machine about deep neural networks in speech recognition given by George Dahl, who is one of Geoffrey Hinton’s students and just defended his Ph.D last month.
Deep Learning, Kaggle, Microsoft, Podcast, Ran Bi, Speech Recognition
- Top KDnuggets tweets, Apr 2-5: The Data Science ecosystem: Data wrangling useful tools and tips - Apr 6, 2015.
The #datascience ecosystem part 2: Data wrangling useful tools and tips; 10 R Packages to Win Kaggle Competitions; Forrester Wave #BigData Predictive #Analytics Solutions 2015, gainers, losers; How Microsoft uses Big Data to predict traffic jams in advance.
Data Wrangling, Forrester, Kaggle, Microsoft, R, Traffic
- Strata + Hadoop World 2015 San Jose – Day 2 Highlights - Mar 10, 2015.
Strata + Hadoop World 2015 was a great conference, and here are key insights from some of the best sessions on day 2.
Anomaly Detection, Apache Spark, Cloudera, Databricks, Intel, Microsoft, Netflix, Strata, Trifacta
- Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost - Feb 23, 2015.
SAS, IBM, KNIME, and RapidMiner lead in Gartner 2015 Magic Quadrant for Advanced Analytics Platforms. We analyze who gained and who lost versus last year.
Advanced Analytics, Alteryx, Dell, Gartner, IBM, Knime, Magic Quadrant, Microsoft, RapidMiner, Salford Systems, SAS
- Top KDnuggets tweets, Feb 18-19: New Face Detection Algorithm to revolutionize search; How to transition from Excel to R - Feb 20, 2015.
Practical #DataScience in #Python #MachineLearning - nice intro; New Face Detection Algorithm to revolutionize search; Well written: How to Transition from Excel to R; Microsoft launches #Azure #MachineLearning Platform for #BigData, adds Python.
Azure ML, Data Science, DJ Patil, Excel, Face Detection, Image Recognition, Microsoft, Python, R, White House
- January 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity - Feb 17, 2015.
January acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Microsoft buys Revolution Analytics, Why dunnhumby is worth billions, GraphLab renames to Dato, raises $18M, MongoDB raised $80M, and more.
Dato, dunnhumby, GraphLab, Microsoft, MongoDB, R, Revolution Analytics
- Data Mining finds JASBUG, a Critical Security Vulnerability - Feb 17, 2015.
We explain how the critical Microsoft security vulnerability JASBUG that existed for 15 years was detected with similarity search and regular expression inference.
Biology, gTLD, JASBUG, Microsoft, Security, Similarity, simMachines
- Microsoft buys Revolution Analytics - Jan 24, 2015.
Microsoft buys Revolution Analytics - I look at why this is both surprising and not.
Acquisitions, Azure ML, Microsoft, R, Revolution Analytics
- ChaLearn Automatic Machine Learning Challenge (AutoML) - Jan 15, 2015.
Design the perfect machine learning “black box” capable of performing all model selection and hyper-parameter tuning without any human intervention. There is a prize pool of $30,000 donated by Microsoft if you are willing to make your code publicly available.
Challenge, Machine Learning, Microsoft
- December 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity - Jan 12, 2015.
December 2014 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Scaled Inference, Pulse Energy, Mixpanel, Oracle buys Datalogix, Hortonworks IPO, MSFT buys HockeyApp, Brandwatch buys PeerIndex, MetaMind launches.
Hortonworks, Microsoft, Oracle, PeerIndex, Startups
- Microsoft: Data Scientists in Redmond, Boston and Mountain View - Dec 16, 2014.
At Azure Machine Learning, our vision is to make machine learning cloud technology accessible to every enterprise, data scientist, developer, information worker, consumer, and device anywhere in the world.
Azure ML, Boston-MA, Data Scientist, Microsoft, Mountain View-CA, Redmond-WA
- Top KDnuggets tweets, Dec 7-14: Google new CAPTCHA trains #AI; Random Forests, SVM give best results - Dec 15, 2014.
Which one is the bunny? Google new CAPTCHA bot-trap trains #AI; O'Reilly Data Scientist Salary and Tools Survey 2014; Microsoft brings the power of #MachineLearning to Office Online; 10 Data Science Newsletters to Subscribe to.
CAPTCHA, Data Science Skills, Google, Machine Learning, Microsoft, random forests algorithm, Salary, SVM
- 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.
AI, Big Data Market, CAPTCHA, Google, Image Recognition, Microsoft, Salary
- Interview: Joseph Sirosh, Microsoft on Azure ML and the Emerging Data Science Economy - Nov 19, 2014.
We discuss what distinguishes Azure ML from its intense competition, the online machine learning university, current maturity level of Big Data solutions, important skills for data scientists and more.
Azure ML, Hiring, Joseph Sirosh, Machine Learning, Marketplace, Microsoft, Predictive Analytics
- Interview: Joseph Sirosh, Microsoft on How Azure ML is Simplifying Predictive Analytics - Nov 18, 2014.
Microsoft Corporate VP of Machine Learning, Joseph Sirosh talks about the recently released Azure ML, users’ feedback, favorite business use cases, how Azure ML fits in the Microsoft’s portfolio for Big Data solutions and more.
Azure ML, Dell, Joseph Sirosh, Machine Learning, Marketplace, Microsoft, Predictive Analytics
- October 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity - Nov 8, 2014.
October 2014 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: DrivenData, Map-D, Microsoft buys Equivio, Alteryx, Cazena, Ello, Zoomdata, Cloudera buys DataPad, Tibco goes private.
Alteryx, Cloudera, DrivenData, Ello, Microsoft, TIBCO
- Top KDnuggets tweets, Sep 24-25: Statistical & Machine learning with R, great 15 hour online course - Sep 26, 2014.
Watch: Statistical and Machine learning with R, 15 hour online course; 50 Data Science and Statistics Blogs worth reading; Microsoft: Data Scientist; Book: Frequent Pattern Mining.
Blogs, Frequent Pattern Mining, Machine Learning, Microsoft, R, Statistical Learning
- Microsoft: Data Scientists in Redmond, Boston and Mountain View - Sep 25, 2014.
Join the excitement of Machine Learning in the Cloud at Microsoft fast-paced data science team in the Azure ML group, building machine learning powered intelligent web services and end to end solutions.
Boston-MA, Cloud, Data Scientist, Microsoft, Microsoft Azure, Mountain View-CA, Redmond-WA
- Customer Analytics Summit 2014 Chicago: Day 2 Highlights - Sep 12, 2014.
Highlights from the presentations by Big Data & Analytics experts from Microsoft, Sears Holdings and Obama for America on day 2 of Customer Analytics Summit 2014.
Analytics, Chicago-IL, Conference, Data Mining, IE Group, Machine Learning, Microsoft, Obama for America, Sears Holdings
- Microsoft: Principal Data Scientist, Skype - Aug 29, 2014.
Responsible for analyzing call quality for Skype and Lync and driving improvements into the product, to make Skype and Lync have the best audio and video communication experience possible.
Data Scientist, Microsoft, Redmond-WA, Skype
- Microsoft: Principal Data Architect – Protection Services - Jul 30, 2014.
The Big Data Architect is responsible for ensuring that Protection data assets are supported by the right data architecture, data models and standards to achieve our strategic goals.
Big Data Architect, Israel, Microsoft, Security
- Top KDnuggets tweets, Jul 21-22 - Jul 23, 2014.
Microsoft: Data Scientist; Haskell Data Analysis Cookbook - A practical and concise guide; Large collection of papers on #Security and Machine Learning; Learn Data Science in 12 wks + career coaching.
Data Science Education, Haskell, Machine Learning, Microsoft, Regression, Security
- Microsoft: Data Scientist - Jul 21, 2014.
Do exciting Machine Learning in the Cloud! Join a fast paced data science team in the Microsoft Cloud + Enterprise organization building machine learning powered intelligent web services.
Data Scientist, Microsoft, Redmond-WA
- Big Data Innovation Summit 2014 London: Highlights - May 31, 2014.
Highlights from the presentations by Big Data technology practitioners from Sears Holdings, Microsoft, Ticketmaster during Big Data Innovation Summit 2014 in London.
Big Data, Data Visualization, IE Group, London-UK, Microsoft, Privacy, Sears Holdings, Social Analytics
- Vowpal Wabbit: Fast Learning on Big Data - May 26, 2014.
Vowpal Wabbit is a fast out-of-core machine learning system, which can learn from huge, terascale datasets faster than any other current algorithm. We also explain the cute name.
Fast Learning, John Langford, Machine Learning, Microsoft, Vowpal Wabbit
- Interview: Xinghua Lou (Microsoft) on Mining Clinical Notes and Big Data in Healthcare - May 7, 2014.
We discuss data mining of cancer clinical data, LDA topic model, challenges in mining clinical notes, big data in healthcare and more.
Healthcare, Interview, Machine Learning, Microsoft, Researchers, Xinghua Lou
- Microsoft: Sr. Software Development Engineer, Analysis and Experimentation Team - May 6, 2014.
Build a world-class experimentation service that accelerates innovations for Bing and key partners in Microsoft by testing new ideas quickly and reliably.
Experimentation, Microsoft, Redmond-WA
- Top KDnuggets tweets, Apr 30 – May 1: Chart Cheat Sheet: When to use Bar, Stacked, Donut - May 2, 2014.
Useful! Chart Cheat Sheet: When to use Bar, Stacked, Line, Donut, Choropleth; Microsoft Data Scientist; The Deep Dive: SAS vs. R: younger Data Scientists prefer R ; Massachusetts releases Big Data Report 2014.
Cheat Sheet, Massachusetts, Microsoft, R, SAS
- Microsoft: Data Scientist - Apr 30, 2014.
Join a fast paced data science team in the Microsoft Cloud + Enterprise organization building machine learning powered intelligent web services.
Cloud, Microsoft, Redmond-WA
- KDnuggets Interview: Juan Miguel Lavista, Microsoft Data Science Team - Apr 30, 2014.
We discuss Randomized Controlled Experiments, common errors during A/B testing, Correlation vs. Causality, Big Data Myths and setting up realistic expectations from Big Data and more...
A/B Testing, Big Data Hype, Correlation, Interview, Juan Lavista, Microsoft
- Top stories for Apr 20-26 - Apr 27, 2014.
Elusive Data Scientists Driving High Salaries; Data Workflows for Machine Learning; New Book: Social Media Mining - free PDF download; Microsoft Expands Big Data Platform.
Data Scientist, Machine Learning, Microsoft, Paco Nathan, Salary, Social Media Analytics
- Microsoft: Applied Researcher - Apr 26, 2014.
Be at the forefront of Big Data, command many thousands of machines, process petabytes of data, and not just answer the question given but define what the right question to answer is.
Experimentation, Microsoft, Seattle-WA
- Top KDnuggets tweets, Apr 21-22 - Apr 23, 2014.
Sweet! Chocolate Consumption strongly correlated to Nobel Prizes; Cheat Sheets for Data Scientists; New Book: Social Media Mining - free PDF download; Elusive Data Scientists Driving High Salaries.
Cheat Sheet, Chocolate, Microsoft, Nobel, Salary, Social Media Analytics
- Microsoft Expands Big Data Platform - Apr 21, 2014.
Microsoft expands its data platform with 3 major features: SQL Server 2014 with in-memory technology, Azure Intelligent Systems Service, and Analytics Platform System - SQL Server + Hadoop. New CEO Satya gives low-key but impressive presentation.
Hadoop, Microsoft, Microsoft Azure, Quentin Clark, Satya Nadella, SQL Server
- Top KDnuggets tweets, Mar 19-20: Bitcoin 101 – everything you need to know; Top IPython Notebooks at #strataconf - Mar 21, 2014.
Bitcoin 101 - covers everything you need to know, how it is traded, history, and future; Top 7 IPython Notebooks used for presentations at #strataconf; Online (streaming) Learning with Microsoft AdPredictor algorithm; IBM creates fraud & financial crimes prevention unit, leveraging #BigData Analytics.
Bitcoin, Fraud Prevention, IBM, IPython, Microsoft, Online advertising, Strata
- Top stories for Mar 2-8: Do’s and Don’t of Data Mining; Wolfram Breakthtough language - Mar 9, 2014.
The Dos and Donts of Data Mining; Wolfram Breakthrough Knowledge-based Programming Language - what it means for Data Science? Introduction to Random Forests for Beginners - free ebook; Exclusive Interview with Quentin Clark, Microsoft Data Platform Group.
Data Mining, ebook, Interview, Microsoft, Quentin Clark, random forests algorithm, Wolfram
- KDnuggets Exclusive: Part 2 of the interview with Quentin Clark, CVP, Microsoft Data Platform Group - Mar 6, 2014.
We discuss Microsoft decision to embrace Hadoop as the standard, collaboration with Hortonworks, and advice to newbies in Data Science.
Advice, Azure HDInsight, Data Platform, Hadoop, Hortonworks, Microsoft, Strata 2014
- KDnuggets Exclusive: Interview with Quentin Clark, CVP, Microsoft Data Platform Group - Mar 6, 2014.
KDnuggets talks with Quentin Clark, Corporate Vice President, Microsoft Data Platform Group. In the interview, we discuss Power BI for Office 365, Big Data trends and Microsoft’s strategic decisions.
Accessibility, Data Platform, Interview, Microsoft, Office 365, Power BI, Quentin Clark, Strata 2014
- Microsoft: Data Scientist - Feb 28, 2014.
Join a fast paced data science team in the Microsoft Cloud + Enterprise organization building machine learning powered intelligent web services.
Cloud, Machine Learning, Microsoft, Web services
