Google (81)

• Deep Neural Networks Don’t Lead Us Towards AGI - Dec 9, 2021.
  
  Machine learning techniques continue to evolve with increased efficiency for recognition problems. But, they still lack the critical element of intelligence, so we remain a long way from attaining AGI.

  AGI, Deep Learning, Google, Machine Learning

• Federated Learning: Google’s Take - Nov 8, 2021.
  
  This blog will be focusing on the work Google has been doing in the Federated Learning space.

  Data Federation, Federated Learning, Google, Privacy

• Data science SQL interview questions from top tech firms - Oct 5, 2021.
  
  As a data scientist, there is one thing you really need to understand and know how to handle: data. With SQL being a foundational technical approach for working with data, it should not be surprising that the top tech companies will ask about your SQL skills during an interview. Here, we cover the key concepts tested so you can best prepare for your next data science interview.

  Amazon, Data Science, Facebook, Google, Interview Questions, SQL

• Introducing TensorFlow Similarity - Sep 17, 2021.
  
  TensorFlow Similarity is a newly-released library from Google that facilitates the training, indexing and querying of similarity models. Check out more here.

  Google, Neural Networks, TensorFlow

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 5 - Jul 16, 2021.
  
  Training efficient deep learning models with any software tool is nothing without an infrastructure of robust and performant compute power. Here, current software and hardware ecosystems are reviewed that you might consider in your development when the highest performance possible is needed.

  Deep Learning, Efficiency, Google, Hardware, Machine Learning, NVIDIA, PyTorch, Scalability, TensorFlow

• 5 Data Science Open-source Projects You Should Consider Contributing to - Jun 7, 2021.
  
  As you prepare to interview for a position in data science or are looking to jump to the next level, now is the time to enhance your skills and your resume with by working on rea, open-source projects. Here, we suggest a great selection of projects you can contribute to and help build something awesome, so, all you need to do choose one and tackle it head on.

  Caffe, Data Science, Data Science Skills, GitHub, Google, Machine Learning, Open Source

• Start a Career in a Growing Field with Google’s Data Analytics Professional Certificate - Apr 7, 2021.
  
  Google's recently launched Data Analytics Professional Certificate on Coursera is great for anyone, regardless of background or experience. The program is completely online, self-paced, and costs $39 per month. Interested in preparing for a new career in a high-growth field?

  Certificate, Coursera, Data Analytics, Google

• Google’s Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks - Mar 1, 2021.
  
  The new framework brings state-of-the-art neural architecture search methods to TensorFlow.

  Automated Machine Learning, AutoML, Google, Neural Networks, Open Source

• 6 Data Science Certificates To Level Up Your Career - Feb 18, 2021.
  
  Anyone looking to obtain a data science certificate to prove their ability in the field will find a range of options exist. We review several valuable certificates to consider that will definitely pump up your resume and portfolio to get you closer to your dream job.

  Career Advice, Certificate, Cloudera, Data Science Certificate, Google, IBM, Microsoft Azure, SAS, TensorFlow

• Beyond the Nash Equilibrium: DeepMind Clever Strategy to Solve Asymmetric Games - Feb 1, 2021.
  
  The method expands the concept of a Nash equilibrium by decomposing an asymmetric game into multiple symmetric games.

  DeepMind, Game Theory, Google

• Six Times Bigger than GPT-3: Inside Google’s TRILLION Parameter Switch Transformer Model - Jan 25, 2021.
  
  Google’s Switch Transformer model could be the next breakthrough in this area of deep learning.

  Google, GPT-3, NLP, Transformer

• 8 Places for Data Professionals to Find Datasets - Dec 17, 2020.
  
  Here is a curated list of sites and resources invaluable for data professionals to acquire practice datasets.

  Data Science, Datasets, Google, Government, Kaggle, Reddit, UCI

• 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

• Must-read NLP and Deep Learning articles for Data Scientists - Aug 21, 2020.
  
  NLP and deep learning continue to advance, nearly on a daily basis. Check out these recent must-read guides, feature articles, and other resources to keep you on top of the latest advancements and ahead of the curve.

  Deep Learning, Google, GPT-3, NLP, OpenAI, Privacy, Research, Self-Driving, TensorFlow, Trends

• Top Google AI, Machine Learning Tools for Everyone - Aug 18, 2020.
  
  Google is much more than a search company. Learn about all the tools they are developing to help turn your ideas into reality through Google AI.

  AI, AutoML, Bias, Data Science Platforms, Datasets, Google, Google Cloud, Google Colab, Machine Learning, TensorFlow

• Scaling Computer Vision Models with Dataflow - Jul 31, 2020.
  
  Scaling Machine Learning models is hard and expensive. We will shortly introduce the Google Cloud service Dataflow, and how it can be used to run predictions on millions of images in a serverless way.

  Computer Vision, Dataflow, Google, Python, Scalability

• A Tour of End-to-End Machine Learning Platforms - Jul 29, 2020.
  
  An end-to-end machine learning platform needs a holistic approach. If you’re interested in learning more about a few well-known ML platforms, you’ve come to the right place!

  AirBnB, Data Science Platform, Google, Machine Learning, MLOps, Netflix, Pipeline, Uber, Workflow

• Why You Should Get Google’s New Machine Learning Certificate - Jul 29, 2020.
  
  Google is offering a new ML Engineer certificate, geared towards professionals who want to display their competency in topics like distributed model training and scaling to production. Is it worth it?

  Certificate, Courses, Google, Machine Learning

• Understanding How Neural Networks Think - Jul 16, 2020.
  
  A couple of years ago, Google published one of the most seminal papers in machine learning interpretability.

  Google, Interpretability, Machine Learning

• Apache Spark on Dataproc vs. Google BigQuery - Jul 15, 2020.
  
  This post looks at research undertaken to provide interactive business intelligence reports and visualizations for thousands of end users, in the hopes of addressing some of the challenges to architects and engineers looking at moving to Google Cloud Platform in selecting the best technology stack based on their requirements and to process large volumes of data in a cost effective yet reliable manner.

  Apache Spark, BigQuery, Google

• Google Unveils TAPAS, a BERT-Based Neural Network for Querying Tables Using Natural Language - May 19, 2020.
  
  The new neural network extends BERT to interact with tabular datasets.

  BERT, Convolutional Neural Networks, Google, NLP

• Google Open Sources SimCLR, A Framework for Self-Supervised and Semi-Supervised Image Training - Apr 27, 2020.
  
  The new framework uses contrastive learning to improve image analysis in unlabeled datasets.

  Google, Image Recognition, Open Source, Self-supervised Learning

• The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks - Apr 24, 2020.
  
  Check out this repository of more than 100 freely-accessible NLP notebooks, curated from around the internet, and ready to launch in Colab with a single click.

  Google, Google Colab, Jupyter, NLP

• TensorFlow Dev Summit 2020: Top 10 Tricks for TensorFlow and Google Colab Users - Apr 8, 2020.
  
  In this piece, we’ll highlight some of the tips and tricks mentioned during this year’s TF summit. Specifically, these tips will help you in getting the best out of Google’s Colab.

  Google, Google Colab, TensorFlow, Tips

• Exploring TensorFlow Quantum, Google’s New Framework for Creating Quantum Machine Learning Models - Mar 23, 2020.
  
  TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures.

  Google, Machine Learning, Quantum Computing, TensorFlow

• 5 Google Colaboratory Tips - Mar 2, 2020.
  
  Are you looking for some tips for using Google Colab for your projects? This article presents five you may find useful.

  Google, Google Colab, Jupyter, Python, Tips

• Leaders, Changes, and Trends in Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 24, 2020.
  
  The Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms has the largest number of leaders ever. We examine the leaders and changes and trends vs previous years.

  Alteryx, Data Science Platform, Databricks, Dataiku, DataRobot, Domino, Gartner, Google, H2O, IBM, Knime, Machine Learning, Magic Quadrant, MathWorks, Microsoft Azure, RapidMiner, SAS, TIBCO

• Prepare for a Long Battle against Deepfakes - Feb 21, 2020.
  
  While deepfakes threaten to destroy our perception of reality, the tech giants are throwing down the gauntlet and working to enhance the state of the art in combating doctored videos and images.

  AI, Crime, Deepfakes, Facebook, Google, Politics, Trends, Twitter

• Inside The Machine Learning that Google Used to Build Meena: A Chatbot that Can Chat About Anything - Feb 17, 2020.
  
  Meena is one of the major milestones in the history of NLU. How did Google build it?

  Chat, Chatbot, Google, Machine Learning, NLU

• Google Dataset Search Provides Access to 25 Million Datasets - Jan 29, 2020.
  
  Google's dataset search is out of beta, and provides centralized access to 25 million datasets.

  Data Science, Datasets, Google, Search

• KDnuggets™ News 19:n49, Dec 27: What is a Data Scientist Worth? New Explainable AI from Google - Dec 27, 2019.
  
  What is a Data Scientist Worth?; Google's New Explainable AI Service; The Most In Demand Tech Skills for Data Scientists; The 4 fastest ways NOT to get hired as a data scientist; and KDnuggets Cartoon which was included in a surprising textbook.

  Data Science Skills, Data Scientist, Explainable AI, Google, Hiring, Salary

• Google’s New Explainable AI Service - Dec 20, 2019.
  
  Google has started offering a new service for “explainable AI” or XAI, as it is fashionably called. Presently offered tools are modest, but the intent is in the right direction.

  AI, Explainability, Explainable AI, Google

• Google Open Sources MobileNetV3 with New Ideas to Improve Mobile Computer Vision Models - Dec 2, 2019.
  
  The latest release of MobileNets incorporates AutoML and other novel ideas in mobile deep learning.

  Automated Machine Learning, Computer Vision, Google, Mobile, Open Source

• Open Source Projects by Google, Uber and Facebook for Data Science and AI - Nov 28, 2019.
  
  Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

  Advice, AI, Data Science, Data Scientist, Data Visualization, Deep Learning, Facebook, Google, Open Source, Python, Uber

• Can Neural Networks Develop Attention? Google Thinks they Can - Nov 25, 2019.
  
  Google recently published some work about modeling attention mechanisms in deep neural networks.

  Attention, Google, Neural Networks

• Python, Selenium & Google for Geocoding Automation: Free and Paid - Nov 21, 2019.
  
  This tutorial will take you through two options that have automated the geocoding process for the user using Python, Selenium and Google Geocoding API.

  Automation, Geocode, Geoscience, Geospatial, Google, Python, Selenium, Web Scraping

• How to Extract Google Maps Coordinates - Nov 11, 2019.
  
  In this article, I will show you how to quickly extract Google Maps coordinates with a simple and easy method.

  Google, Maps, Octoparse, Web Scraping

• Understanding Tensor Processing Units - Jul 30, 2019.
  
  The Tensor Processing Unit (TPU) is Google's custom tool to accelerate machine learning workloads using the TensorFlow framework. Learn more about what TPUs do and how they can work for you.

  Google, Sciforce, TensorFlow, TPU

• This New Google Technique Help Us Understand How Neural Networks are Thinking - Jul 24, 2019.
  
  Recently, researchers from the Google Brain team published a paper proposing a new method called Concept Activation Vectors (CAVs) that takes a new angle to the interpretability of deep learning models.

  Accuracy, Deep Learning, Google, Interpretability, Neural Networks

• Practical Speech Recognition with Python: The Basics - Jul 9, 2019.
  
  Do you fear implementing speech recognition in your Python apps? Read this tutorial for a simple approach to getting practical with speech recognition using open source Python libraries.

  Google, NLP, Python, Speech Recognition

• How Google uses Reinforcement Learning to Train AI Agents in the Most Popular Sport in the World - Jun 21, 2019.
  
  Researchers from the Google Brain team open sourced Google Research Football, a new environment that leverages reinforcement learning to teach AI agents how to master the most popular sport in the world.

  Agents, AI, Football, Google, Reinforcement Learning, Soccer

• Beyond Siri, Google Assistant, and Alexa – what you need to know about AI Conversational Applications - Apr 10, 2019.
  
  We discuss industry trends in Artificial Intelligence with Vijay Ramakrishnan, a machine learning engineer and expert in conversational applications.

  AI, Alexa, Google, Siri, Virtual Assistant

• 7 “Gotchas” for Data Engineers New to Google BigQuery - Mar 28, 2019.
  
  Here are some things that might take some getting used to when new to Google BigQuery, along with mitigation strategies where I’ve found them.

  BigQuery, Data Engineer, Data Engineering, Google

• 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

• The 6 Most Useful Machine Learning Projects of 2018 - Jan 15, 2019.
  
  Let’s take a look at the top 6 most practically useful ML projects over the past year. These projects have published code and datasets that allow individual developers and smaller teams to learn and immediately create value.

  Automated Machine Learning, Facebook, fast.ai, Google, Keras, Machine Learning, Object Detection, Python, Reinforcement Learning, Word Embeddings

• 3 More Google Colab Environment Management Tips - Jan 2, 2019.
  
  This is a short collection of lessons learned using Colab as my main coding learning environment for the past few months. Some tricks are Colab specific, others as general Jupyter tips, and still more are filesystem related, but all have proven useful for me.

  Google, Google Colab, Jupyter, Machine Learning, Python

• Keras Hyperparameter Tuning in Google Colab Using Hyperas - Dec 12, 2018.
  
  In this post, I will show you how you can tune the hyperparameters of your existing keras models using Hyperas and run everything in a Google Colab Notebook.

  Automated Machine Learning, Google, Google Colab, Hyperparameter, Keras, Python

• 10 Free Must-See Courses for Machine Learning and Data Science - Nov 8, 2018.
  
  Check out a collection of free machine learning and data science courses to kick off your winter learning season.

  Data Science, Deep Learning, fast.ai, Google, Linear Algebra, Machine Learning, MIT, NLP, Reinforcement Learning, Stanford, Yandex

• 9 Things You Should Know About TensorFlow - Aug 22, 2018.
  
  A summary of the key points from the Google Cloud Next in San Francisco, "What’s New with TensorFlow?", including neural networks, TensorFlow Lite, data pipelines and more.

  Deep Learning, Google, Keras, Machine Learning, Python, TensorFlow

• Creating a simple text classifier using Google CoLaboratory - Mar 15, 2018.
  
  Google CoLaboratory is Google’s latest contribution to AI, wherein users can code in Python using a Chrome browser in a Jupyter-like environment. In this article I have shared a method, and code, to create a simple binary text classifier using Scikit Learn within Google CoLaboratory environment.

  Google, Google Colab, Jupyter, Python, Text Classification

• Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch - Feb 20, 2018.
  
  Now you can develop deep learning applications with Google Colaboratory - on the free Tesla K80 GPU - using Keras, Tensorflow and PyTorch.

  Pages: 1 2

  Deep Learning, Google, Google Colab, Keras, Python, PyTorch, TensorFlow

• 3 Essential Google Colaboratory Tips & Tricks - Feb 12, 2018.
  
  Google Colaboratory is a promising machine learning research platform. Here are 3 tips to simplify its usage and facilitate using a GPU, installing libraries, and uploading data files.

  Google, Google Colab, Python, TensorFlow, Tips

• Fast.ai Lesson 1 on Google Colab (Free GPU) - Feb 8, 2018.
  
  In this post, I will demonstrate how to use Google Colab for fastai. You can use GPU as a backend for free for 12 hours at a time. GPU compute for free? Are you kidding me?

  Deep Learning, fast.ai, Google, Google Colab, GPU, Jupyter

• 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

• AlphaGo Zero: The Most Significant Research Advance in AI - Oct 27, 2017.
  
  The previous version of AlphaGo beat the human world champion in 2016. The new AlphaGo Zero beat the previous version by 100 games to 0, and learned Go completely on its own. We examine what this means for AI.

  AI, AlphaGo, DeepMind, Google, Reinforcement Learning, Xavier Amatriain

• Machine Learning Translation and the Google Translate Algorithm - Sep 14, 2017.
  
  Today, we’ve decided to explore machine translators and explain how the Google Translate algorithm works.

  Google, Machine Learning, Machine Translation, Natural Language Processing, Statsbot

• Top 10 Recent AI videos on YouTube - May 10, 2017.
  
  Top viewed videos on artificial intelligence since 2016 include great talks and lecture series from MIT and Caltech, Google Tech Talks on AI.

  AI, Google, Machine Learning, MIT, Neural Networks, NVIDIA, Robots, Youtube

• Top 10 Machine Learning Videos on YouTube, updated - May 3, 2017.
  
  The top machine learning videos on YouTube include lecture series from Stanford and Caltech, Google Tech Talks on deep learning, using machine learning to play Mario and Hearthstone, and detecting NHL goals from live streams.

  Andrew Ng, Computer Vision, Deep Learning, Geoff Hinton, Google, Machine Learning, Neural Networks, Robots, Video Games, Yaser Abu-Mostafa, Youtube

• Deep Learning – Past, Present, and Future - May 2, 2017.
  
  There is a lot of buzz around deep learning technology. First developed in the 1940s, deep learning was meant to simulate neural networks found in brains, but in the last decade 3 key developments have unleashed its potential.

  Pages: 1 2

  Andrew Ng, Big Data, Deep Learning, Geoff Hinton, Google, GPU, History, Neural Networks, NVIDIA

• Top /r/MachineLearning Posts, March: A Super Harsh Guide to Machine Learning; Is it Gaggle or Koogle?!? - Apr 4, 2017.
  
  A Super Harsh Guide to Machine Learning; Google is acquiring data science community Kaggle; Suggestion by Salesforce chief data scientist; Andrew Ng resigning from Baidu; Distill: An Interactive, Visual Journal for Machine Learning Research

  Advice, Andrew Ng, Distill, Google, Kaggle, Machine Learning, Reddit, Salesforce

• 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

• Proxy Indicators: beware of spurious claims - Mar 16, 2017.
  
  Beware of online and market research studies which can lead to false or spurious claims. We examine several notable examples including Google Street View and Argentina inflation.

  Argentina, Fake News, Google, Market Research, Overfitting

• Revenue per Employee: golden ratio, or red herring? - Jan 4, 2017.
  
  There is growing support for revenue per employee as one of the most underrated metrics available for assessing business performance in a crowded marketplace.

  Apple, Facebook, Google, Hiring, Workforce Analytics

• Data Science of Visiting Famous Movie Locations in San Francisco - Jul 30, 2016.
  
  Using the Google Places API and IMDb API, we selected movie locations in The Golden City which every movie fan should visit while they are in town, and optimize sightseeing by solving the travelling salesman problem.

  CA, Data Science, Google, IMDb, Python, San Francisco

• Why Big Data is in Trouble: They Forgot About Applied Statistics - Jul 18, 2016.
  
  This "classic" (but very topical and certainly relevant) post discusses issues that Big Data can face when it forgets, or ignores, applied statistics. As great of a discussion today as it was 2 years ago.

  Applied Statistics, Big Data, Google, Statistics

• 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

• Distributed TensorFlow Has Arrived - Mar 1, 2016.
  
  Google has open sourced its distributed version of TensorFlow. Get the info on it here, and catch up on some other TensorFlow news at the same time.

  Deep Learning, Distributed Systems, Google, Matthew Mayo, TensorFlow

• Scikit Flow: Easy Deep Learning with TensorFlow and Scikit-learn - Feb 12, 2016.
  
  Scikit Learn is a new easy-to-use interface for TensorFlow from Google based on the Scikit-learn fit/predict model. Does it succeed in making deep learning more accessible?

  Deep Learning, Google, Matthew Mayo, Python, scikit-learn, TensorFlow

• 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

• Google Launches Deep Learning with TensorFlow MOOC - Jan 26, 2016.
  
  Google and Udacity have partnered for a new self-paced course on deep learning and TensorFlow, starting immediately.

  Google, Matthew Mayo, MOOC, TensorFlow, Udacity

• 5 Best Machine Learning APIs for Data Science - Nov 5, 2015.
  
  Machine Learning APIs make it easy for developers to develop predictive applications. Here we review 5 important Machine Learning APIs: IBM Watson, Microsoft Azure Machine Learning, Google Prediction API, Amazon Machine Learning API, and BigML.

  Pages: 1 2

  Amazon, API, Azure ML, BigML, DeZyre, Google, IBM Watson, Machine Learning

• Top 10 Machine Learning Videos on YouTube - Jun 23, 2015.
  
  The top machine learning videos on YouTube include lecture series from Stanford and Caltech, Google Tech Talks on deep learning, using machine learning to play Mario and Hearthstone, and detecting NHL goals from live streams.

  Andrew Ng, Computer Vision, Deep Learning, Geoff Hinton, Google, Grant Marshall, Machine Learning, Neural Networks, Robots, Video Games, Youtube

• Cognitive Computing: Solving the Big Data Problem? - Jun 12, 2015.
  
  With a shortage of data scientists, what are the alternatives for making sense of Big Data? We examine Cognitive Computing, its strengths, and how it can fit into the current Big Data landscape.

  Cognitive Computing, DeepMind, Google, IBM Watson, Qualcomm, Rick Delgado

• Most Viewed Data Mining Videos on YouTube - May 18, 2015.
  
  The top Data Mining YouTube videos by those like Google and Revolution Analytics covers topics ranging from statistics in data mining to using R for data mining to data mining in sports.

  Ayasdi, Data Mining, Google, Grant Marshall, R, Rattle, Revolution Analytics, Statistica, Text Mining, Weka, Youtube

• Machine Learning Wars: Amazon vs Google vs BigML vs PredicSis - May 12, 2015.
  
  Comparing 4 Machine Learning APIs: Amazon Machine Learning, BigML, Google Prediction API and PredicSis on a real data from Kaggle, we find the most accurate, the fastest, the best tradeoff, and a surprise last place.

  Pages: 1 2

  Amazon, BigML, Google, Louis Dorard, Machine Learning, PredicSis

• Most Viewed Big Data Videos on YouTube - May 9, 2015.
  
  The top Big Data YouTube videos by those like Hortonworks and Kirk D. Borne cover diverse topics including Hadoop, Big Data Trends, Deep Learning, and Big Data Leadership.

  Big Data, Cloudera, Deep Learning, Google, Grant Marshall, Hadoop, IBM, Kirk D. Borne, TED, Youtube

• Google BigQuery Public Datasets - Feb 20, 2015.
  
  Google BigQuery is not only a fantastic tool to analyze data, but it also has a repository of public data, including GDELT world events database, NYC Taxi rides, GitHub archive, Reddit top posts, and more.

  BigQuery, GDELT, Google, New York City, Reddit

• The High Cost of Maintaining Machine Learning Systems - Jan 21, 2015.
  
  Google researchers warn of the massive ongoing costs for maintaining machine learning systems. We examine how to minimize the technical debt.

  Google, Machine Learning, Software Engineering, Technical Debt, Zachary Lipton

• Geoffrey Hinton talks about Deep Learning, Google and Everything - Dec 1, 2014.
  
  A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.

  Deep Learning, DeepMind, Geoff Hinton, Google, Neural Networks, Reddit, Yann LeCun

• Sibyl: Google’s system for Large Scale Machine Learning - Aug 20, 2014.
  
  A review of 2014 keynote talk about Sibyl, Google system for large scale machine learning. Parallel Boosting algorithm and several design principles are introduced.

  Algorithms, Boosting, Google, Machine Learning, Sibyl

• Does Deep Learning Have Deep Flaws? - Jun 19, 2014.
  
  A recent study of neural networks found that for every correctly classified image, one can generate an "adversarial", visually indistinguishable image that will be misclassified. This suggests potential deep flaws in all neural networks, including possibly a human brain.

  Artificial Intelligence, Deep Learning, Google, Image Recognition, Neural Networks