Google (190)

• 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

• Book Metadata and Cover Retrieval Using OCR and Google Books API - Nov 17, 2021.
  
  With KNIME extracting critical pieces of information from images becomes as easy as ABC.

  API, Google, Knime, Low-Code

• 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

• KDnuggets™ News 21:n42, Nov 3: Google Recommendations Before Taking Their Machine Learning Course; Guide to Data Science Jobs - Nov 3, 2021.
  
  What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; A Guide to 14 Different Data Science Jobs; Analyze Python Code in Jupyter Notebooks; Machine Learning Model Development and Model Operations: Principles and Practices; Want to Join a Bank? Everything Data Scientists Need to Know About Working in Fintech

  Career Advice, Data Science, Finance, Google, Jobs, Jupyter, Machine Learning, Python

• What Google Recommends You do Before Taking Their Machine Learning or Data Science Course - Oct 28, 2021.
  
  First steps to learning data science & machine learning are the foundations.

  Beginners, Courses, Data Science, Google, Machine Learning

• 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

• Algorithms of Social Manipulation - Oct 9, 2020.
  
  As we all continuously interact with each other and our favorite businesses through apps and websites, the level at which we are being tracked and monitored is significant. While the technologies behind these capabilities provide us value, the tech companies can also influence our decisions on where to click, spend our money, and much more.

  Advertising, Algorithms, Amazon, Ethics, Google, Netflix, Recommender Systems, Search, Social Media, Uber

• Getting Started in AI Research - Oct 5, 2020.
  
  A guide on how to contribute to confirming the reproducibility of some of the most recent papers and join open-search research.

  AI, GitHub, Google, Open Source, Research

• Top KDnuggets tweets, Sep 9-15: Will You Enroll At #Google University For $49/Month? Here Are International Alternatives to @Kaggle - Sep 16, 2020.
  
  Will You Enroll At #Google University For $49/Month? On @Kaggle some prizes are only for Americans - here are international alternatives; Advanced #NumPy for #DataScience; Free From MIT: Intro to Computer Science and Programming in Python

  Competition, Google, Kaggle, Online Education, Top tweets

• 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

• KDnuggets™ News 20:n30, Aug 5: What Employers are Expecting of Data Scientist Role; I have a joke about… - Aug 5, 2020.
  
  Know What Employers are Expecting for a Data Scientist Role in 2020; I have a joke about …; First Steps of a Data Science Project; Why You Should Get Google's New Machine Learning Certificate; Awesome Machine Learning and AI Courses

  AI, Career Advice, Certificate, Courses, Data Science, Data Scientist, Google, Humor, Machine Learning, Trends

• 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

• Google Open Sources TFCO to Help Build Fair Machine Learning Models - Mar 12, 2020.
  
  A new optimization framework helps to incorporate fairness constraints in machine learning models.

  Ethics, Google, Machine Learning, Optimization, 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

• Francois Chollet on the Future of Keras and Reinforce Conference - Feb 25, 2020.
  
  Ahead of Reinforce Conference in Budapest, we asked Francois Chollet, the creator of Keras, about Keras future, proposed developments, PyTorch, energy efficiency, and more. Listen to him in person in Budapest, April 6-7, and use code KDNuggets to save 15% on conference tickets.

  AutoKeras, Budapest, Climate Change, Deep Learning, Francois Chollet, Google, Keras, PyTorch, Reinforce, TensorFlow

• 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

• About Google’s Self-Proclaimed Quantum Supremacy and its Impact on Artificial Intelligence - Oct 29, 2019.
  
  Google claimed quantum supremacy, IBM challenged it… but the development is really important for the future of AI.

  AI, Google, Quantum Computing

• 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

• Network with Google, Intel, Facebook, LinkedIn & more - Mar 27, 2019.
  
  The Predictive Analytics Innovation Summit takes place Apr 29 & 30 in San Diego. Secure your place at this must-attend event for data professionals today and deep-dive into a new era of AI and data strategy.

  CA, Facebook, Google, Innovation, Intel, LinkedIn, Predictive Analytics, San Diego

• Top KDnuggets tweets, Mar 06-12: Most impactful AI trends of 2018; Google open-sources GPipe for efficiently training large deep neural networks - Mar 13, 2019.
  
  The rise of ML Engineering; Build your own Robust #DeepLearning Environment in Minutes; Another 10 Free Must-Read Books for Machine Learning and Data Science; Top 5 #MachineLearning Courses for 2019 - from @Coursera and @EdX.

  Deep Learning, Google, Top tweets

• 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

• Data Science in the Real World – Meet Netflix, Google and Amazon at DATAx Singapore - Jan 30, 2019.
  
  Machine learning, predictive analytics, IoT, smart cities and fintech are some of the hot topics where you need to know the latest. Get a sneak peak of upcoming DATAx with the DATAx New York festival post event report.

  Amazon, Business, Data Science, DATAx, Google, IE Group, Netflix, Singapore

• 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

• KDnuggets™ News 18:n46, Dec 5: AI, Data Science, Analytics 2018 Main Developments, 2019 Key Trends; Deep Learning Cheat Sheets - Dec 5, 2018.
  
  Also: Best Machine Learning languages, Data Visualization Tools, DL Frameworks, and Big Data Tools; How to Build a Machine Learning Team When You Are Not Google or Facebook; A Complete Guide to Choosing the Best Machine Learning Course; Handling Imbalanced Datasets in Deep Learning

  2019 Predictions, AI, Analytics, Cheat Sheet, Data Science, Deep Learning, Facebook, Google, Machine Learning

• How to Build a Machine Learning Team When You Are Not Google or Facebook - Nov 28, 2018.
  
  If you don’t have a clear application for machine learning, you’re going to regret your investment. We provide tips on how to go about setting up your machine learning team - no matter the size of your business.

  Data Science Team, Google, Lukas Biewald, Machine Learning, Team

• 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

• Join AI experts from Google Brain, Open AI & Uber AI Labs in San Francisco - Nov 1, 2018.
  
  Join us at the Deep Learning Summit, San Francisco, 24 - 25 Jan 2019. Learn from industry experts in speech & pattern recognition, neural networks, image analysis and NLP, and explore how deep learning will impact all industries.

  AI, CA, Deep Learning, Google, OpenAI, RE.WORK, San Francisco, Uber

• 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

• Deploying scikit-learn Models at Scale - Aug 29, 2018.
  
  Find out how to serve your scikit-learn model in an auto-scaling, serverless environment! Today, we’ll take a trained scikit-learn model and deploy it on Cloud ML Engine.

  Cloud, Google, Google Cloud, Machine Learning, Python, scikit-learn

• 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

• How to Set Up a Free Data Science Environment on Google Cloud - Aug 15, 2018.
  
  In this post, we'll walk through how to set up a data science environment on Google Cloud Platform (GCP). Because of the economy of scale that cloud hosting companies provide, individuals or teams can affordably access powerful computers.

  Cloud, Data Science, Google, Google Cloud, Jupyter

• Google’s AutoML: Cutting Through the Hype - Jul 31, 2018.
  
  In today’s post, I want to look specifically at Google’s AutoML, a product which has received a lot of media attention, and address "What is Google's AutoML?" and more.

  Automated Machine Learning, AutoML, Google, Hype, Rachel Thomas

• Ready your Skills for a Cloud-First World with Google - Jul 20, 2018.
  
  The Machine Learning with TensorFlow on Google Cloud Platform Specialization on Coursera will help you jumpstart your career, includes hands-on labs, and takes you from a strategic overview to practical skills in building real-world, accurate ML models.

  AI, Cloud Computing, Coursera, Google, Google Cloud, Machine Learning, TensorFlow

• How Not to Regulate the Data Economy - May 24, 2018.
  
  The GDPR will affect not just tech companies but any company that handles customer data — in other words, every company. And it will affect the use of data throughout the world, not just in Europe...

  GDPR, Google, Machine Learning, Pedro Domingos, Privacy

• Hear the latest AI advancements in robotics & automation from Uber, Hitachi, Google & more - Apr 26, 2018.
  
  The Summits will bring together 550 experts and 60 speakers using AI and deep learning to improve operations in manufacturing, and creating the next generation of intelligent robots. Save 20% with code KDNUGGETS.

  AI, Automation, Boston, Deep Learning, Google, Hitachi, MA, RE.WORK, Robots, Uber

• 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

• Get ready for smart apps - Mar 8, 2018.
  
  Mobile platforms are set to benefit from Deep Learning this year, with significant improvements in privacy, offline functionality and much more. But which Android phone should you purchase to maximise these benefits?

  Android, Deep Learning, Google, Samsung, Smartphone

• 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

• Top KDnuggets tweets, Jan 24-30: Top 10 Algorithms for Machine Learning Newbies; Want to Become a Data Scientist? Try Feynman Technique - Jan 31, 2018.
  
  Also: Chronological List of AI Books To Read - from Goedel, Escher, Bach ... ; Aspiring Data Scientists! Start to learn Statistics with these 6 books.

  Algorithms, Cloud Computing, Google, GPU, Top tweets

• 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

• View from Google Assistant: Are we becoming reliant on AI? - Dec 26, 2017.
  
  AI is powering a paradigm shift in human machine interaction and conversational UIs like Alexa, Cortana, Google Assistant, and Siri, have the potential to break free from some key limitations of mobile app.

  AI, Google, UI/UX, Virtual Assistant

• 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

• What data has to teach us about deep learning? - Sep 4, 2017.
  
  Budapest is calling Data Scientists and Data engineers to CRUNCH Conference, Oct 18-20. CRUNCH will feature talks from Google, Airbnb, Tesla, LinkedIn, Netflix, Uber, and more. Use code KDnuggetsAtCrunch to save.

  Budapest, Data Engineering, Data Science, Google, Hungary, Netflix, Tesla

• DataScience: Elevate Live Stream, July 27 - Jul 13, 2017.
  
  Register now for the live stream of DataScience: Elevate, a half-day event featuring data science leaders from Google, Netflix, eHarmony, and other global companies.

  Data Science, Datascience.com, Google, Industry, Netflix

• Top /r/MachineLearning Posts, May: Deep Image Analogy; Stylized Facial Animations; Google Open Sources Sketch-RNN - Jun 9, 2017.
  
  Deep Image Analogy; Example-Based Synthesis of Stylized Facial Animations; Google releases dataset of 50M vector drawings, open sources Sketch-RNN implementation; New massive medical image dataset coming from Stanford; Everything that Works Works Because it's Bayesian: Why Deep Nets Generalize?

  Deep Learning, Google, Machine Learning, Neural Networks, Reddit

• 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

• Key Takeaways from Strata + Hadoop World 2017 San Jose, Day 2 - Mar 29, 2017.
  
  The focus is increasingly shifting from storing and processing Big Data in an efficient way, to applying traditional and new machine learning techniques to drive higher value from the data at hand.

  AI, CA, DNA, Fake News, Google, Hadoop, Robots, San Jose, Strata

• 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

• Google Got a Lot of Data About You - Mar 9, 2017.
  
  This article will dive into six types of data that most big tech companies, and especially Google, gather about consumers.

  Consumer Analytics, Google, Privacy, Youtube

• Top KDnuggets tweets, Mar 01-07: Google Unveils Neural Network with “Superhuman” Ability to Determine the Location of Almost Any Image - Mar 8, 2017.
  
  Also Deep Forest: Towards An Alternative to Deep #NeuralNetworks; An Overview of #Python #DeepLearning Frameworks; The Gentlest Introduction to Tensorflow - Part 2.

  Deep Learning, Geo-Localization, Google, Top tweets

• Top /r/MachineLearning Posts, February: Oxford Deep NLP Course; Data Visualization for Scikit-learn Results - Mar 6, 2017.
  
  Oxford Deep NLP Course; scikit-plot: Data Visualization for Scikit-learn Results; Machine Learning at Berkeley's ML Crash Course: Neural Networks; Predicting parking difficulty with machine learning; TensorFlow 1.0 Release

  Data Visualization, Deep Learning, Google, Machine Learning, Natural Language Processing, NLP, Oxford, Reddit, scikit-learn, TensorFlow

• New Poll: Do you support Trump Immigration Ban? - Feb 9, 2017.
  
  Express your opinion about Trump Immigration ban and find out what does Google Autocomplete offers when you search for "Trump Immigration".

  Donald Trump, Google, Politics, Poll

• Going to War with the Giants: Automated Machine Learning with MLJAR - Jan 19, 2017.
  
  The performance of automated machine learning tool MLJAR on Kaggle competition data is presented in comparison with those from other predictive APIs from Amazon, Google, PredicSis and BigML.

  Amazon, Automated Data Science, Automated Machine Learning, BigML, Google, Kaggle, XGBoost

• A Concise Overview of Recent Advances in Vehicle Technologies - Jan 11, 2017.
  
  2016 was a big year for electric and driverless cars. Get a quick review with relevant videos on some of the events of interest in the field during the past year.

  China, Google, GRAKN.AI, Self-Driving Car, Tesla, Vehicle Analytics

• Top /r/MachineLearning Posts, 2016: Google Brain AMA; Google Machine Learning Recipes; StarCraft II AI Research Environment - Jan 11, 2017.
  
  Google Brain AMA; Google Machine Learning Recipes; StarCraft II AI Research Environment; Huggable Image Classifier; xkcd: Linear Regression; AlphaGO WINS!; TensorFlow Fizzbuzz

  AlphaGo, Deep Learning, DeepMind, Google, Image Recognition, Machine Learning, Reddit, TensorFlow, Yann LeCun

• 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

• Forecast Your Future With Analytics Insights From Google, Bloomberg & others - Dec 13, 2016.
  
  What are the top AI & Machine Learning trends for 2017? Join the Predictive Analytics Innovation Summit in San Diego on Feb 22 & 23, 2017, to find out everything you need to know about Real-time Machine Learning algorithms, developing strong data-driven cultures and more!

  Bloomberg, CA, Google, IE Group, Innovation, Predictive Analytics, San Diego

• Top /r/MachineLearning Posts, November: StarCraft II for AI Research; Google AI Experiments Website; Google in Montreal - Dec 5, 2016.
  
  DeepMind and Blizzard to release StarCraft II as an AI research environment; Google AI Experiments Website; Google opens new Montreal-based AI research lab; Lip Reading Sentences in the Wild; Clean implementations of machine learning algorithms

  AI, DeepMind, Google, Machine Learning, Reddit, Yoshua Bengio

• The Foundations of Algorithmic Bias - Nov 16, 2016.
  
  We might hope that algorithmic decision making would be free of biases. But increasingly, the public is starting to realize that machine learning systems can exhibit these same biases and more. In this post, we look at precisely how that happens.

  Pages: 1 2 3

  Algorithms, Bias, Deep Learning, Facebook, Google, Image Recognition, Machine Learning, Zachary Lipton

• Up to Speed on Deep Learning: August Update, Part 2 - Sep 23, 2016.
  
  This is the second part of an overview of deep learning stories that made news in August. Look to see if you have missed anything.

  Convolutional Neural Networks, Deep Learning, Google, Image Recognition, Machine Learning, Neural Networks, NIPS

• Top /r/MachineLearning Posts, August: Google Brain AMA, Image Completion with TensorFlow, Japanese Cucumber Farming - Sep 5, 2016.
  
  Google Brain AMA; Image Completion with Deep Learning in TensorFlow; Japanese Cucumber Farming; Andrew Ng's machine learning class in Python; Google Brain datasets for robotics research

  Andrew Ng, Deep Learning, Google, Machine Learning, Python, Reddit, Robots, TensorFlow

• Up to Speed on Deep Learning: July Update - Aug 29, 2016.
  
  Check out this thorough roundup of deep learning stories that made news in July. See if there are any items of note you missed.

  Cats, Deep Learning, DeepMind, Google, GPU, Healthcare, Machine Learning

• Top /r/MachineLearning Posts, July: Google Brain AMA, Geoff Hinton Awarded IEEE Medal, Hinton ANN Course Lives! - Aug 2, 2016.
  
  Google Brain AMA; Geoff Hinton Awarded IEEE Medal; Geoff Hinton's ANN Course Lives; Google’s DeepMind Reduces Data Center Cooling Bill; Training an artificial neural network to play Diablo 2

  DeepMind, Geoff Hinton, Google, Machine Learning, Reddit

• 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

• 5 Big Data Projects You Can No Longer Overlook - Jul 21, 2016.
  
  Check out 5 Big Data projects that you are not likely to have seen before, but which may be useful to you, and perhaps even scratch an itch you didn't know you had.

  Big Data, Cloud Computing, Google, Hadoop, Javascript, Overlook, Presto, Spotify, SQL

• 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

• Top KDnuggets tweets, Jun 22-28: #Bayesian #Statistics explained in Simple English; Brexit - Jun 29, 2016.
  
  #Bayesian #Statistics explained to Beginners in Simple English; Amazing analysis of #Brexit with #MachineLearning - it is sad; 18 Useful Mobile Apps for #DataScientist; Sharp divisions between England, #Scotland in #Brexit vote suggest future UK split.

  Bayesian, Brexit, Google, Mobile, Scotland, UK

• 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

• Top /r/MachineLearning Posts, May: TensorFlow Tricks; Machine Learning Tutorials; Google TPUs - Jun 1, 2016.
  
  May on /r/MachineLearning was all about tutorials, TensorFlow, Google hardware, Deep Learning machine installations, and some laughs.

  Google, Machine Learning, Reddit, TensorFlow, TPU, Tutorials

• Top KDnuggets tweets, May 18-24: Google supercharges #MachineLearning, #DeepLearning tasks with TPU (Tensor Processing Unit) - May 25, 2016.
  
  Stanford Crowd Course Initiative: #MachineLearning with #Python course; Practical Guide to Matrix Calculus for #DeepLearning; Build your own #DeepLearning Box < $1.5K

  Google, Machine Learning, Python, Top tweets, TPU

• The Good, Bad & Ugly of TensorFlow - May 24, 2016.
  
  A survey of six months of rapid evolution (+ tips/hacks and code to fix the ugly stuff) using TensorFlow. Get some great advice from the trenches.

  Pages: 1 2

  Deep Learning, Google, TensorFlow

• Stanford Webinar: The Secret to a Perfect Search, May 17 - May 5, 2016.
  
  What makes “googling” the best way to search for something on the Internet? Join Rajan Patel, Stanford Instructor and Google Engineer, as he shares insights into the manipulation of large complex data sets and how you can turn them into valuable, actionable information for your company.

  Big Data, Google, Search Quality, Stanford

• Data is the New Everything - Mar 17, 2016.
  
  Data gets a lot of mainstream attention these days, and has been compared to all sorts of different things. This is a lighthearted look at some of the top suggestions from Google autocomplete when searching for the phrase "data is the new" something.

  Data, Google, Oil & Gas, Search Engine

• The Rise Of The Robot - Mar 3, 2016.
  
  Atlas, the latest robot from Google's Boston Dynamics a pretty resilient chap. He can trudge through uneven snow, be knocked off his feet and get up again. and do work that can take place in any warehouse. We examine what it means for our future.

  Google, Humans vs Machines, Robots

• Top /r/MachineLearning Posts, February: AlphaGo, Distributed TensorFlow, Neural Network Image Enhancement - Mar 2, 2016.
  
  In February on /r/MachineLearning, we get a run-down of the AlphaGo matches, Distributed TensorFlow is released, convolutional neural nets are cleaning Star Wars images, vintage science is on parade, military machine learning is criticized, and the overwhelmed researcher is given advice.

  Advice, Convolutional Neural Networks, Deep Learning, Go, Google, Star Wars, TensorFlow

• 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’s Great Gains in the Grand Game of Go - Feb 1, 2016.
  
  The game of Go has long stumped AI researchers, and, as such, solving it was thought to be years off. That is, until Google solved it earlier this week. Or did it?

  AlphaGo, Deep Learning, DeepMind, Games, Go, Google

• Top /r/MachineLearning Posts, January: Google Masters Go, Deep Learning Laughs, OpenAI AMA - Feb 1, 2016.
  
  In January on /r/MachineLearning: Go gets mastered, deep learning laughs, an OpenAI team AMA, convolutional neural nets colorize black and white photos, and the AI community loses a leader.

  Artificial Intelligence, Convolutional Neural Networks, Google, Matthew Mayo, OpenAI, Reddit

• 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

• Public Knowledge Graph – small guys unite - Jan 21, 2016.
  
  Currently, only global corporations like Google or Facebook can maintain a vast knowledge graph about the world. Little companies which rely on knowing world context need to unite to create a Public Knowledge Graph, or they will fall further behind the big guys.

  Alexy Khrabrov, Crowdsourcing, Google, Knowledge Graph

• Top /r/MachineLearning Posts, December: The Secret Sauce, OpenAI, Google vs. Facebook - Jan 4, 2016.
  
  December on /r/MachineLearning: Is TensorFlow Google's "secret sauce?", AI leaders unite, an extensive curated list of machine learning resources grows, Google vs. Facebook, and Deep Q Pong.

  Artificial Intelligence, Deep Learning, Facebook, Google, Matthew Mayo, Reddit, TensorFlow, Tutorials

• TensorFlow is Terrific – A Sober Take on Deep Learning Acceleration - Dec 30, 2015.
  
  TensorFlow does not change the world. But it appears to be the best, most convenient deep learning library out there.

  Deep Learning, Facebook, Google, Machine Learning, TensorFlow, Torch, Zachary Lipton

• Update: Google TensorFlow Deep Learning Is Improving - Dec 17, 2015.
  
  The recent open sourcing of Google's TensorFlow was a significant event for machine learning. While the original release was lacking in some ways, development continues and improvements are already being made.

  Pages: 1 2

  Deep Learning, Google, Image Recognition, Jeff Hammerbacher, Matthew Mayo, NIPS, TensorFlow