Search results for deep learning

Found 5232 documents, 13742 searched:

• Data Augmentation: How to use Deep Learning when you have Limited Data

  This article is a comprehensive review of Data Augmentation techniques for Deep Learning, specific to images.

  https://www.kdnuggets.com/2018/05/data-augmentation-deep-learning-limited-data.html

• Detecting Breast Cancer with Deep Learning

  Breast cancer is the most common invasive cancer in women, and the second main cause of cancer death in women, after lung cancer. In this article I will build a WideResNet based neural network to categorize slide images into two classes, one that contains breast cancer and other that doesn’t using Deep Learning Studio.

  https://www.kdnuggets.com/2018/05/detecting-breast-cancer-deep-learning.html

• Can’t-Miss Keynotes at Deep Learning World – June 3-7 in Vegas

  Don't miss the opportunity to witness keynote sessions by industry heavyweights at the upcoming inaugural Deep Learning World conference in Las Vegas, Jun 3-7.

  https://www.kdnuggets.com/2018/05/paw-keynotes-deep-learning-world-las-vegas.html

• Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: May and Beyond

  Coming soon: Train AI San Francisco, Deep Learning Boston, Mega-PAW Las Vegas, Spark + AI Summit San Francisco, PAKDD Melbourne, CogX London, and more.

  https://www.kdnuggets.com/2018/05/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• Implementing Deep Learning Methods and Feature Engineering for Text Data: FastText

  Overall, FastText is a framework for learning word representations and also performing robust, fast and accurate text classification. The framework is open-sourced by Facebook on GitHub.

  https://www.kdnuggets.com/2018/05/implementing-deep-learning-methods-feature-engineering-text-data-fasttext.html

• Ultra-compact workstation for top deep learning frameworks

  For workstation development platforms purpose-built for Tensorflow, PyTorch, Caffe2, MXNet, and other DL frameworks, the solution is BOXX. We're bringing deep learning to your deskside with the all-new APEXX W3!

  https://www.kdnuggets.com/2018/04/boxx-workstation-top-deep-learning-frameworks.html

• Implementing Deep Learning Methods and Feature Engineering for Text Data: The GloVe Model

  The GloVe model stands for Global Vectors which is an unsupervised learning model which can be used to obtain dense word vectors similar to Word2Vec.

  https://www.kdnuggets.com/2018/04/implementing-deep-learning-methods-feature-engineering-text-data-glove.html

• KDnuggets™ News 18:n17, Apr 25: Python Regular Expressions Cheat Sheet; Deep Learning With Apache Spark; Building a Question Answering Model

  Also: Derivation of Convolutional Neural Network from Fully Connected Network Step-By-Step; Presto for Data Scientists - SQL on anything; Why Deep Learning is perfect for NLP (Natural Language Processing); Top 16 Open Source Deep Learning Libraries and Platforms

  https://www.kdnuggets.com/2018/n17.html

• Top 16 Open Source Deep Learning Libraries and Platforms

  We bring to you the top 16 open source deep learning libraries and platforms. TensorFlow is out in front as the undisputed number one, with Keras and Caffe completing the top three.

  https://www.kdnuggets.com/2018/04/top-16-open-source-deep-learning-libraries.html

• Low Prices for Mega-PAW End Friday – Predictive Analytics World & Deep Learning World in Vegas

  This Friday, April 27 is the regular pricing deadline for Mega-PAW 2018, June 3-7 in Las Vegas. Don't miss your chance to save up to $450.00 when you register for the 2018 event.

  https://www.kdnuggets.com/2018/04/paw-low-prices-mega-paw-end-friday-las-vegas.html

• Why Deep Learning is perfect for NLP (Natural Language Processing)">Why Deep Learning is perfect for NLP (Natural Language Processing)

  Deep learning brings multiple benefits in learning multiple levels of representation of natural language. Here we will cover the motivation of using deep learning and distributed representation for NLP, word embeddings and several methods to perform word embeddings, and applications.

  https://www.kdnuggets.com/2018/04/why-deep-learning-perfect-nlp-natural-language-processing.html

• Deep Learning With Apache Spark: Part 1

  First part on a full discussion on how to do Distributed Deep Learning with Apache Spark. This part: What is Spark, basics on Spark+DL and a little more.

  https://www.kdnuggets.com/2018/04/deep-learning-apache-spark-part-1.html

• Top Stories, Apr 9-15: Top 8 Free Must-Read Books on Deep Learning; Why so many data scientists are leaving their jobs

  Also: Ten Machine Learning Algorithms You Should Know to Become a Data Scientist; Top 10 Technology Trends of 2018; 12 Useful Things to Know About Machine Learning

  https://www.kdnuggets.com/2018/04/top-news-week-0409-0415.html

• Top 8 Free Must-Read Books on Deep Learning">Top 8 Free Must-Read Books on Deep Learning

  Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.

  https://www.kdnuggets.com/2018/04/top-free-books-deep-learning.html

• Implementing Deep Learning Methods and Feature Engineering for Text Data: The Skip-gram Model

  Just like we discussed in the CBOW model, we need to model this Skip-gram architecture now as a deep learning classification model such that we take in the target word as our input and try to predict the context words.

  https://www.kdnuggets.com/2018/04/implementing-deep-learning-methods-feature-engineering-text-data-skip-gram.html

• Top Stories, Apr 2-8: Top 20 Deep Learning Papers, 2018 Edition; How Do I Get My First Data Science Job?

  Also: Supervised vs. Unsupervised Learning; Why Data Scientists Must Focus on Developing Product Sense; A Day in the Life of a Data Scientist: Part 4; How To Choose The Right Chart Type For Your Data

  https://www.kdnuggets.com/2018/04/top-news-week-0402-0408.html

• Top KDnuggets tweets, Mar 28 – Apr 03: A “Weird” Intro to Deep Learning; Why so many data scientists are leaving their jobs

  Also: Don't learn #MachineLearning in 24 hours; Introduction to Functional Programming in #Python

  https://www.kdnuggets.com/2018/04/top-tweets-mar28-apr03.html

• KDnuggets™ News 18:n14, Apr 4: How Do I Get My First Data Science Job? A “Weird” Intro to Deep Learning; Top 20 DL papers

  Also: A Day in the Life of a Data Scientist: Part 4; Understanding Feature Engineering: Deep Learning Methods for Text Data.

  https://www.kdnuggets.com/2018/n14.html

• Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: April and Beyond

  Coming soon: AnacondaCON Austin, QCon.ai SF, INFORMS Baltimore, AI Conference NYC, Data Science Salon Dallas, AI Expo Global London, ODSC Boston, and many more.

  https://www.kdnuggets.com/2018/04/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• Top 20 Deep Learning Papers, 2018 Edition">Top 20 Deep Learning Papers, 2018 Edition

  Deep Learning is constantly evolving at a fast pace. New techniques, tools and implementations are changing the field of Machine Learning and bringing excellent results.

  https://www.kdnuggets.com/2018/03/top-20-deep-learning-papers-2018.html

• Implementing Deep Learning Methods and Feature Engineering for Text Data: The Continuous Bag of Words (CBOW)

  The CBOW model architecture tries to predict the current target word (the center word) based on the source context words (surrounding words).

  https://www.kdnuggets.com/2018/04/implementing-deep-learning-methods-feature-engineering-text-data-cbow.html

• Top Stories, Mar 26 – Apr 1: Text Data Preprocessing: A Walkthrough in Python; A Weird Introduction to Deep Learning

  Also: Using Tensorflow Object Detection to do Pixel Wise Classification; Understanding Feature Engineering: Deep Learning Methods for Text Data; Exploring DeepFakes; Top 20 Python AI and Machine Learning Open Source Projects

  https://www.kdnuggets.com/2018/04/top-news-week-0326-0401.html

• A “Weird” Introduction to Deep Learning">A “Weird” Introduction to Deep Learning

  There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.

  https://www.kdnuggets.com/2018/03/weird-introduction-deep-learning.html

• Understanding Feature Engineering: Deep Learning Methods for Text Data

  Newer, advanced strategies for taming unstructured, textual data: In this article, we will be looking at more advanced feature engineering strategies which often leverage deep learning models.

  https://www.kdnuggets.com/2018/03/understanding-feature-engineering-deep-learning-methods-text-data.html

• Comparing Deep Learning Frameworks: A Rosetta Stone Approach

  A Rosetta Stone of deep-learning frameworks has been created to allow data-scientists to easily leverage their expertise from one framework to another.

  https://www.kdnuggets.com/2018/03/deep-learning-frameworks.html

• Deep Misconceptions About Deep Learning

  I hope to clarify some processes to attack DL problems and also discuss why it performs so well in some areas such as Natural Language Processing (NLP), image recognition, and machine-translation while failing at others.

  https://www.kdnuggets.com/2018/03/deep-misconceptions-about-deep-learning.html

• Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: March and Beyond

  Coming soon: Strata San Jose, IBM Think Las Vegas, KNIME Spring Summit Berlin, Predictive Analytics Innovation London, ICDIS Texas, AnacondaCON Austin, and many more.

  https://www.kdnuggets.com/2018/03/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• Top Stories, Feb 19-25: Top 20 Python AI and Machine Learning Open Source Projects; Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch

  Also: Want a Job in Data? Learn This; A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018; 5 Fantastic Practical Natural Language Processing Resources; Neural network AI is simple

  https://www.kdnuggets.com/2018/02/top-news-week-0219-0225.html

• PAW Vegas Early Bird Ends This Friday — Deep Learning and 4 Vertical Events

  Predictive Analytics World and Deep Learning World conferences are coming to Caesars Palace in Las Vegas, Jun 3-7. It's not too late to save with the Early Bird and attend the biggest PAW mega-event ever.

  https://www.kdnuggets.com/2018/02/paw-vegas-early-bird-deep-learning-4-vertical-events.html

• Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch">Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch

  Now you can develop deep learning applications with Google Colaboratory - on the free Tesla K80 GPU - using Keras, Tensorflow and PyTorch.

  https://www.kdnuggets.com/2018/02/google-colab-free-gpu-tutorial-tensorflow-keras-pytorch.html

• Deep Learning World Vegas – Talks from Cisco, Cap1, Lyft, Qantas, Uber…

  The inaugural Deep Learning World heads to Caesar's Palace Las Vegas, Jun 3-7, alongside Predictive Analytics World. Early Bird pricing ends Friday – Register now!

  https://www.kdnuggets.com/2018/02/paw-deep-learning-world-vegas.html

• Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: February and Beyond

  Coming soon: TDWI Las Vegas, BI + Analytics Huntington Beach, Strata San Jose, IBM Think Las Vegas, Big Data & Analytics Singapore, KNIME Berlin, Nvidia GPU, and more.

  https://www.kdnuggets.com/2018/02/upcoming-meetings.html

• The AGI/Deep Learning Connection

  Also, deep learning would definitely prove to be an essential component to create truly intelligent machines but probably not enough alone.

  https://www.kdnuggets.com/2018/02/agi-deep-learning-connection.html

• Understanding Learning Rates and How It Improves Performance in Deep Learning

  Furthermore, the learning rate affects how quickly our model can converge to a local minima (aka arrive at the best accuracy). Thus getting it right from the get go would mean lesser time for us to train the model.

  https://www.kdnuggets.com/2018/02/understanding-learning-rates-improves-performance-deep-learning.html

• My Journey into Deep Learning

  In this post I’ll share how I’ve been studying Deep Learning and using it to solve data science problems. It’s an informal post but with interesting content (I hope).

  https://www.kdnuggets.com/2018/01/journey-into-deep-learning.html

• Using Deep Learning to Solve Real World Problems

  Deep learning offers every company with large data new techniques to solve complex analytical problems. Read this ebook to learn more.

  https://www.kdnuggets.com/2018/01/databricks-democratization-ai-deep-learning.html

• Deep Learning in H2O using R

  This article is about implementing Deep Learning (DL) using the H2O package in R. We start with a background on DL, followed by some features of H2O's DL framework, followed by an implementation using R.

  https://www.kdnuggets.com/2018/01/deep-learning-h2o-using-r.html

• AI and Deep Learning in Healthcare – save with code KDnuggets

  This year, RE-WORK will be continuing the Global Healthcare Series, focusing on the AI and deep learning tools and techniques set to revolutionise healthcare applications, medicine & diagnostics. Save an additional 20% on already discounted passes with the code: KDNUGGETS

  https://www.kdnuggets.com/2018/01/rework-ai-deep-learning-healthcare.html

• Democratizing Artificial Intelligence, Deep Learning, Machine Learning with Dell EMC Ready Solutions

  Democratization is defined as the action/development of making something accessible to everyone, to the “common masses.” AI | ML | DL technology stacks are complicated systems to tune and maintain, expertise is limited, and one minimal change of the stack can lead to failure.

  https://www.kdnuggets.com/2018/01/democratizing-ai-deep-learning-machine-learning-dell-emc.html

• NVIDIA: Sr Deep Learning Software Engineer

  NVIDIA is seeking a Senior Deep Learning Software Engineer to join their Autonomous Vehicles team to develop state of the art Deep Learning / AI algorithms for our advanced Autonomous driving platform.

  https://www.kdnuggets.com/jobs/18/01-04-nvidia-deep-learning-software-engineer.html

• NVIDIA: Deep Learning Inference Software Engineer (TensorRT)

  NVIDIA is seeking a Senior Deep Learning Inference Software Engineer (TensorRT), and hiring software engineers for its GPU-accelerated Deep learning team.

  https://www.kdnuggets.com/jobs/18/01-04-nvidia-deep-learning-tensorrt.html

• NVIDIA: Director – Computer Vision/Deep Learning for Imaging Software

  Nvidia is seeking an experienced engineering leader to direct our Deep Learning and Computer Vision efforts in Imaging software.

  https://www.kdnuggets.com/jobs/18/01-04-nvidia-director-computer-vision-deep-learning-imaging.html

• Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: January and Beyond

  Coming soon: Deep Learning Summit San Francisco, Data Science Salon Miami, TDWI Las Vegas, BI + Analytics Conference Huntington Beach, Applied AI Summit London, Strata San Jose, and more.

  https://www.kdnuggets.com/2018/01/upcoming-meetings-analytics-big-data-science-machine-learning.html

• DeepSchool.io: Deep Learning Learning

  What I truly envision for deep school is that this will build a whole lot of Meetup nodes across the world where people will learn, mentor and network around sharing AI knowledge.

  https://www.kdnuggets.com/2017/12/deepschool-io-deep-learning-learning.html

• Deep Learning Made Easy with Deep Cognition

  So normally we do Deep Learning programming, and learning new APIs, some harder than others, some are really easy an expressive like Keras, but how about a visual API to create and deploy Deep Learning solutions with the click of a button? This is the promise of Deep Cognition.

  https://www.kdnuggets.com/2017/12/deep-learning-made-easy-deep-cognition.html

• Deep Learning by Uber – at PAW Vegas 2018 – Best Price Ends Friday

  Announcing Deep Learning World: The call-for-speakers for the inaugural Deep Learning World, June 3-7, 2018 in Las Vegas is open. Agenda now posted for Predictive Analytics World, Las Vegas – June 3-7, 2018.

  https://www.kdnuggets.com/2017/12/paw-deep-learning-uber-vegas.html

• The 10 Deep Learning Methods AI Practitioners Need to Apply

  Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.

  https://www.kdnuggets.com/2017/12/10-deep-learning-methods-ai-practitioners-need-apply.html

• Top Stories, Dec 4-10: Using Deep Learning to Solve Real World Problems; Big Data: Main Developments in 2017 and Key Trends in 2018

  Also: What is a Bayesian Neural Network?; Today I Built a Neural Network During My Lunch Break with Keras; 4 Common Data Fallacies That You Need To Know; Top 10 Machine Learning Algorithms for Beginners; The 10 Statistical Techniques Data Scientists Need to Master

  https://www.kdnuggets.com/2017/12/top-news-week-1204-1210.html

• Using Deep Learning to Solve Real World Problems">Using Deep Learning to Solve Real World Problems

  Do you assume that deep learning is only being used for toy problems and in self-learning scenarios? This post includes several firsthand accounts of organizations using deep neural networks to solve real world problems.

  https://www.kdnuggets.com/2017/12/using-deep-learning-solve-real-world-problems.html

• KDnuggets™ News 17:n45, Nov 29: New Poll: Data Science Methods Used? Deep Learning Specialization: 21 Lessons Learned

  Also The 10 Statistical Techniques Data Scientists Need to Master; Did Spark Really Kill Hadoop? A Framework for Textual Data Science.

  https://www.kdnuggets.com/2017/n45.html

• Top Stories, Nov 20-26: Deep Learning Specialization by Andrew Ng – 21 Lessons Learned; A Framework for Approaching Textual Data Science Tasks

  Also: Estimating an Optimal Learning Rate For a Deep Neural Network; Automated Feature Engineering for Time Series Data; How (and Why) to Create a Good Validation Set; Building a Wikipedia Text Corpus for Natural Language Processing; The 10 Statistical Techniques Data Scientists Need to Master

  https://www.kdnuggets.com/2017/11/top-news-week-1120-1126.html

• Deep Learning Specialization by Andrew Ng  –  21 Lessons Learned">Deep Learning Specialization by Andrew Ng  –  21 Lessons Learned

  I found all 3 courses extremely useful and learned an incredible amount of practical knowledge from the instructor, Andrew Ng. Ng does an excellent job of filtering out the buzzwords and explaining the concepts in a clear and concise manner.

  https://www.kdnuggets.com/2017/11/ng-deep-learning-specialization-21-lessons.html

• NVIDIA DGX Systems – Deep Learning Software Whitepaper

  Download this whitepaper from NVIDIA DGX Systems, and gain insight into the engineering expertise and innovation found in pre-optimized deep learning frameworks available only on NVIDIA DGX Systems and learn how to dramatically reduce your engineering costs using today’s most popular frameworks.

  https://www.kdnuggets.com/2017/11/nvidia-dgx-systems-deep-learning-software-whitepaper.html

• Top 10 Videos on Deep Learning in Python">Top 10 Videos on Deep Learning in Python

  Playlists, individual tutorials (not part of a playlist) and online courses on Deep Learning (DL) in Python using the Keras, Theano, TensorFlow and PyTorch libraries. Assumes no prior knowledge. These videos cover all skill levels and time constraints!

  https://www.kdnuggets.com/2017/11/top-10-videos-deep-learning-python.html

• Deep Learning in Robotics and Healthcare Summits: Join & save with KDnuggets offer

  RE•WORK are pleased to announce the launch of 'Expo Only Passes' for the upcoming San Francisco events, on January 25 from 14:00 - 18:00. Plus, save 20% on passes to all RE•WORK summits with the code KDNUGGETS.

  https://www.kdnuggets.com/2017/11/rework-deep-learning-robotics-healthcare-summits.html

• Real World Deep Learning: Neural Networks for Smart Crops

  The advances in image classification, object detection, and semantic segmentation using deep Convolutional Neural Networks, which spawned the availability of open source tools such as Caffe and TensorFlow (to name a couple) to easily manipulate neural network graphs... made a very strong case in favor of CNNs for our classifier.

  https://www.kdnuggets.com/2017/11/real-world-deep-learning-neural-networks-smart-crops.html

• Top Stories, Oct 30-Nov 5: 6 Books Every Data Scientist Should Keep Nearby; Want to know how Deep Learning works? Here’s a quick guide for everyone.

  Also: Advice For New and Junior Data Scientists; 7 Steps to Mastering Deep Learning with Keras; Getting Started with Machine Learning in One Hour!; Top 10 Machine Learning Algorithms for Beginners

  https://www.kdnuggets.com/2017/11/top-news-week-1030-1105.html

• Want to know how Deep Learning works? Here’s a quick guide for everyone">Want to know how Deep Learning works? Here’s a quick guide for everyone

  Once you’ve read this article, you will understand the basics of AI and ML. More importantly, you will understand how Deep Learning, the most popular type of ML, works.

  https://www.kdnuggets.com/2017/11/deep-learning-works-quick-guide-everyone.html

• Top KDnuggets tweets, Oct 25-31: 30 Essential Data Science, Machine Learning, Deep Learning Cheat Sheets; Google Brain chief: DL takes at least 100,000 examples

  Also Applied #AI Summit will give you the tools for your AI journey, 5-7 Feb, London;10 Free Must-Read Books for Machine Learning, Data Science; Ranking Popular #DeepLearning Libraries for #DataScience.

  https://www.kdnuggets.com/2017/11/top-tweets-oct25-31.html

• KDnuggets™ News 17:n42, Nov 1: 7 Steps to Mastering Deep Learning with Keras; 6 Books Every Data Scientist Should Keep Nearby

  7 Steps to Mastering Deep Learning with Keras; 6 Books Every Data Scientist Should Keep Nearby; Neural Networks, Step 1: Where to Begin with Neural Nets & Deep Learning; XGBoost: A Concise Technical Overview; AlphaGo Zero: The Most Significant Research Advance in AI

  https://www.kdnuggets.com/2017/n42.html

• Top Stories, Oct 23-29: Ranking Popular Deep Learning Libraries; TensorFlow: Building Feed-Forward Neural Networks Step-by-Step

  Also: XGBoost: A Concise Technical Overview; Top 10 Machine Learning with R Videos; Neural Networks, Step 1: Where to Begin with Neural Nets & Deep Learning; Top 10 Machine Learning Algorithms for Beginners; 7 Types of Artificial Neural Networks for Natural Language Processing

  https://www.kdnuggets.com/2017/10/top-news-week-1023-1029.html

• 7 Steps to Mastering Deep Learning with Keras">7 Steps to Mastering Deep Learning with Keras

  Are you interested in learning how to use Keras? Do you already have an understanding of how neural networks work? Check out this lean, fat-free 7 step plan for going from Keras newbie to master of its basics as quickly as is possible.

  https://www.kdnuggets.com/2017/10/seven-steps-deep-learning-keras.html

• Neural Networks, Step 1: Where to Begin with Neural Nets & Deep Learning

  This is a short post for beginners learning neural networks, covering several essential neural networks concepts.

  https://www.kdnuggets.com/2017/10/neural-networks-step-1.html

• Ranking Popular Deep Learning Libraries for Data Science">Ranking Popular Deep Learning Libraries for Data Science

  We rank 23 open-source deep learning libraries that are useful for Data Science. The ranking is based on equally weighing its three components: Github and Stack Overflow activity, as well as Google search results.

  https://www.kdnuggets.com/2017/10/ranking-popular-deep-learning-libraries-data-science.html

• 5 Free Resources for Furthering Your Understanding of Deep Learning

  This post includes 5 specific video-based options for furthering your understanding of neural networks and deep learning, collectively consisting of many, many hours of insights.

  https://www.kdnuggets.com/2017/10/5-free-resources-furthering-understanding-deep-learning.html

• Key Trends and Takeaways from RE•WORK Deep Learning Summit Montreal – Part 2: The Pioneers

  The most anticipated aspect of the RE•WORK Deep Learning Summit Montreal was the assembly of deep learning pioneers Yoshua Bengio, Yann LeCun, and Geoff Hinton on stage separately and together for the first time at such an event.

  https://www.kdnuggets.com/2017/10/key-takeaways-rework-deep-learning-summit-montreal-pioneers.html

• RE•WORK Deep Learning Summit Montreal Panel of Pioneers Interview: Yoshua Bengio, Yann LeCun, Geoffrey Hinton

  At the Deep Learning Summit in Montreal last week, we saw Yoshua Bengio, Yann LeCun and Geoffrey Hinton come together to share their most cutting edge research progressions as well as discussing the landscape of AI and the deep learning ecosystem in Canada.

  https://www.kdnuggets.com/2017/10/rework-interview-yoshua-bengio-yann-lecun-geoffrey-hinton.html

• Top Stories, Oct 9-15: Want to Become a Data Scientist? Read This Interview First; An Overview of 3 Popular Courses on Deep Learning

  Also: A Quick Guide to Fake News Detection on Social Media; How I started with learning AI in the last 2 months; Tidyverse, an opinionated Data Science Toolbox in R from Hadley Wickham; Understanding Machine Learning Algorithms; 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets

  https://www.kdnuggets.com/2017/10/top-news-week-1009-1015.html

• Key Trends and Takeaways from RE•WORK Deep Learning Summit Montreal – Part 1: Computer Vision

  Read up on what you missed from the RE•WORK Deep Learning Summit Montreal, held October 10 & 11, including talks from Aaron Courville, Ira Kemelmacher-Shlizerman, Roland Memisevic, and Raquel Urtasun.

  https://www.kdnuggets.com/2017/10/key-takeaways-rework-deep-learning-summit-montreal.html

• An Overview of 3 Popular Courses on Deep Learning">An Overview of 3 Popular Courses on Deep Learning

  After completing the 3 most popular MOOCS in deep learning from Fast.ai, deeplearning.ai/Coursera (which is not completely released) and Udacity, I believe a post about what you can expect from these 3 courses will be useful for future Deep learning enthusiasts.

  https://www.kdnuggets.com/2017/10/3-popular-courses-deep-learning.html

• KDnuggets™ News 17:n39, Oct 11: Machine Learning to Predict, Explain Attrition; Deep Learning for Object Detection

  Also How to Choose a Data Science Job; Tidyverse, an opinionated Data Science Toolbox in R; A Quick Guide to Fake News Detection.

  https://www.kdnuggets.com/2017/n39.html

• Top September Stories: 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets

  Also: 277 Data Science Key Terms, Explained; I built a chatbot in 2 hours and this is what I learned; Data Science and the Imposter Syndrome

  https://www.kdnuggets.com/2017/10/top-stories-2017-sep.html

• Deep Learning for Object Detection: A Comprehensive Review">Deep Learning for Object Detection: A Comprehensive Review

  By the end of this post, we will hopefully have gained an understanding of how deep learning is applied to object detection, and how these object detection models both inspire and diverge from one another.

  https://www.kdnuggets.com/2017/10/deep-learning-object-detection-comprehensive-review.html

• KDnuggets™ News 17:n38, Oct 4: What Blockchains Mean to Big Data; Keras Deep Learning Cheat Sheet; Machine Learning in Finance

  Also: XGBoost, a Top Machine Learning Method on Kaggle, Explained; How to win Kaggle competition based on NLP task, if you are not an NLP expert; Fundamental Breakthrough in 2 Decade Old Algorithm Redefines Big Data Benchmarks

  https://www.kdnuggets.com/2017/n38.html

• Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: October and Beyond

  Coming soon: Deep Learning Montreal, ODSC London, TDWI Accelerate Seattle, IAPA Melbourne, Crunch Budapest, INFORMS Houston, Spark Summit Dublin, and many more.

  https://www.kdnuggets.com/2017/10/upcoming-meetings-analytics-big-data-science-machine-learning.html

• Data Science, AI & Deep Learning Conference – 16 November 2017, London

  This conference brings together a range of expert practitioners to explore and discuss the new era of AI, Machine Learning and Deep Learning.  Participants gain real insights on how to exploit these technological advances for themselves and their organisations in an increasingly ‘data-driven world’.

  https://www.kdnuggets.com/2017/10/data-science-ai-deep-learning-conference-london.html

• Keras Cheat Sheet: Deep Learning in Python

  Keras is a Python deep learning library for Theano and TensorFlow. The package is easy to use and powerful, as it provides users with a high-level neural networks API to develop and evaluate deep learning models.

  https://www.kdnuggets.com/2017/09/datacamp-keras-cheat-sheet-deep-learning-python.html

• The Search for the Fastest Keras Deep Learning Backend

  This is an overview of the performance comparison for the popular Deep Learning frameworks supported by Keras – TensorFlow, CNTK, MXNet and Theano.

  https://www.kdnuggets.com/2017/09/search-fastest-keras-deep-learning-backend.html

• 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets">30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets

  This collection of data science cheat sheets is not a cheat sheet dump, but a curated list of reference materials spanning a number of disciplines and tools.

  https://www.kdnuggets.com/2017/09/essential-data-science-machine-learning-deep-learning-cheat-sheets.html

• Object Detection: An Overview in the Age of Deep Learning

  Like many other computer vision problems, there still isn’t an obvious or even “best” way to approach the problem of object recognition, meaning there’s still much room for improvement.

  https://www.kdnuggets.com/2017/09/object-detection-overview-deep-learning.html

• Top Stories, Sep 4-10: Putting the “Science” Back in Data Science; A Vision for Making Deep Learning Simple

  Also: Python overtakes R, becomes the leader in Data Science, Machine Learning platforms; I built a chatbot in 2 hours and this is what I learned; Closing the Insights-to-Action Gap; Are Data Lakes Fake News?; Visualizing Cross-validation Code

  https://www.kdnuggets.com/2017/09/top-news-week-0904-0910.html

• A Vision for Making Deep Learning Simple">A Vision for Making Deep Learning Simple

  This post introduces Deep Learning Pipelines from Databricks, a new open-source library aimed at enabling everyone to easily integrate scalable deep learning into their workflows, from machine learning practitioners to business analysts.

  https://www.kdnuggets.com/2017/09/databricks-vision-making-deep-learning-simple.html

• What data has to teach us about deep learning?

  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.

  https://www.kdnuggets.com/2017/09/crunch-data-engineering-analytics-budapest-october.html

• Detecting Facial Features Using Deep Learning

  A challenging task in the past was detection of faces and their features like eyes, nose, mouth and even deriving emotions from their shapes. This task can be now “magically” solved by deep learning and any talented teenager can do it in a few hours.

  https://www.kdnuggets.com/2017/09/detecting-facial-features-deep-learning.html

• Connecting the dots for a Deep Learning App

  We show how to build a Deep Learning app which does sentiment analysis on movie reviews. Try it yourself!

  https://www.kdnuggets.com/2017/08/connecting-dots-deep-learning-app.html

• KDnuggets™ News 17:n33, Aug 30: Python Overtakes R in Machine Learning; Data Science in 42 Steps; Deep Learning not AI’s Future

  Also: KDnuggets part-time, paid internship in Data Science/Machine Learning Journalism; How To Write Better SQL Queries: The Definitive Guide; Understanding overfitting: an inaccurate meme in Machine Learning; How to Become a Data Scientist: The Definitive Guide

  https://www.kdnuggets.com/2017/n33.html

• Top Stories, Aug 21-27: 42 Steps to Mastering Data Science; Deep Learning is not the AI future

  Also: 37 Reasons why your Neural Network is not working; Machine Learning vs. Statistics: The Texas Death Match of Data Science; Understanding overfitting: an inaccurate meme in Machine Learning; Recommendation System Algorithms: An Overview; The Ultimate Guide to Basic Data Cleaning

  https://www.kdnuggets.com/2017/08/top-news-week-0821-0827.html

• Deep Learning is not the AI future">Deep Learning is not the AI future

  While Deep Learning had many impressive successes, it is only a small part of Machine Learning, which is a small part of AI. We argue that future AI should explore other ways beyond DL.

  https://www.kdnuggets.com/2017/08/deep-learning-not-ai-future.html

• Top Stories, Aug 14-20: The Rise of GPU Databases; A New Beginning to Deep Learning

  Also: Data Science Primer: Basic Concepts for Beginners; A Guide to Instagramming with Python for Data Analysis; New Poll: Python vs R vs rest; 4 Industries Being Transformed by Machine Learning and Robotics; A Guide to Understanding AI Toolkits

  https://www.kdnuggets.com/2017/08/top-news-week-0814-0820.html

• PayPal: Applied Research Scientist (AI-ML R&D / NLP / Deep Learning)

  Seeking an Applied Research Scientist to work on deep learning research for multiple data science applications within the company. There will be access to huge amount of internal data and lots of opportunities to innovate.

  https://www.kdnuggets.com/jobs/17/08-18-paypal-applied-research-scientist.html

• Deep Learning and Neural Networks Primer: Basic Concepts for Beginners

  This is a collection of introductory posts which present a basic overview of neural networks and deep learning. Start by learning some key terminology and gaining an understanding through some curated resources. Then look at summarized important research in the field before looking at a pair of concise case studies.

  https://www.kdnuggets.com/2017/08/deep-learning-neural-networks-primer-basic-concepts-beginners.html

• A New Beginning to Deep Learning">A New Beginning to Deep Learning

  I won't give you the clichéd line that it's never too late because that's not the point. It is actually because, a term that I loved as soon as I came across it- 'The AI Winter' - doesn't seem to ever be going to return again.

  https://www.kdnuggets.com/2017/08/new-beginning-deep-learning.html

• First Steps of Learning Deep Learning: Image Classification in Keras

  Whether you want to start learning deep learning for you career, to have a nice adventure (e.g. with detecting huggable objects) or to get insight into machines before they take over, this post is for you!

  https://www.kdnuggets.com/2017/08/first-steps-learning-deep-learning-image-classification-keras.html

• Explore The Future of Deep Learning with @teamrework

  Until recently, deep learning alluded to the big names in tech such as Amazon, Facebook, and Google as having a clear use for these tools. Whilst these are some of the key players in AI and DL implementation, there are also huge advantages for their applications in businesses and everyday enterprises.

  https://www.kdnuggets.com/2017/08/rework-explore-future-deep-learning.html

• Deep Learning with Cloudera, Webinar Aug 24

  Deep learning expands boundaries of the possible. Detecting fraud. Predicting claims. Diagnosing cancer. Deep learning solves these problems and many others. Find out more with Cloudera, Aug 24.

  https://www.kdnuggets.com/2017/08/cloudera-deep-learning-webinar.html

• Deep Learning Algorithms are Changing the Future. Are You Missing Out?

  Until recently, deep learning alluded to the big names in tech such as Amazon, Facebook, and Google as having a clear use for these tools. Whilst these are some of the key players in AI and DL implementation, there are also huge advantages for their applications in businesses and everyday enterprises.

  https://www.kdnuggets.com/2017/08/rework-deep-learning-london-san-francisco.html

• KDnuggets™ News 17:n30, Aug 9: Machine Learning Algorithms: Concise Overview; Train your Deep Learning model faster and sharper

  Also: A unified deep learning framework for time-series mobile sensing data processing; EDISON Data Science Framework Release 2; Data mining Airbnb.

  https://www.kdnuggets.com/2017/n30.html

• How I Used Deep Learning To Train A Chatbot To Talk Like Me">How I Used Deep Learning To Train A Chatbot To Talk Like Me

  In this post, we’ll be looking at how we can use a deep learning model to train a chatbot on my past social media conversations in hope of getting the chatbot to respond to messages the way that I would.

  https://www.kdnuggets.com/2017/08/deep-learning-train-chatbot-talk-like-me.html

• Top Stories, Jul 31-Aug 6: Machine Learning Algorithms: A Concise Technical Overview; Train your Deep Learning model faster and sharper: Snapshot Ensembling

  Also: Beautiful Python Visualizations: An Interview with Bokeh Core Developer; How will Big Data companies monetize data in 2018?; What is hardcore data science – in practice?; DeepSense: Time-series mobile sensing data processing; The Machine Learning Abstracts: Decision Trees

  https://www.kdnuggets.com/2017/08/top-news-week-0731-0806.html

• Train your Deep Learning Faster: FreezeOut

  We explain another novel method for much faster training of Deep Learning models by freezing the intermediate layers, and show that it has little or no effect on accuracy.

  https://www.kdnuggets.com/2017/08/train-deep-learning-faster-freezeout.html

• Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: August and Beyond

  Coming soon: KDD-2017 Halifax, JupyterCon NYC, Big Data Innovation Summit Boston, O'Reilly AI NYC, Strata NYC, Rework Deep Learning London, and many more.

  https://www.kdnuggets.com/2017/08/upcoming-meetings-analytics-big-data-science-machine-learning.html

• Train your Deep Learning model faster and sharper: Snapshot Ensembling — M models for the cost of 1">Train your Deep Learning model faster and sharper: Snapshot Ensembling — M models for the cost of 1

  We explain a novel Snapshot Ensembling method for increasing accuracy of Deep Learning models while also reducing training time.

  https://www.kdnuggets.com/2017/08/train-deep-learning-faster-snapshot-ensembling.html

• DeepSense: A unified deep learning framework for time-series mobile sensing data processing

  Compared to the state-of-art, DeepSense provides an estimator with far smaller tracking error on the car tracking problem, and outperforms state-of-the-art algorithms on the HHAR and biometric user identification tasks by a large margin.

  https://www.kdnuggets.com/2017/08/deepsense-unified-deep-learning-framework-time-series-mobile.html

• Top Stories, Jul 24-30: When not to use Deep Learning; 6 Reasons Why Python Is Suddenly Super Popular

  Also: Machine Learning Exercises in Python: An Introductory Tutorial Series; Introduction to Neural Networks, Advantages and Applications; The Internet of Things: An Introductory Tutorial Series; The BI & Data Analysis Conundrum: 8 Reasons Why Many Big Data Analytics Solutions Fail to Deliver Value

  https://www.kdnuggets.com/2017/07/top-news-week-0724-0730.html

• KDnuggets™ News 17:n28, Jul 26: 5 Free Resources to start with Deep Learning for NLP; Emotional Intelligence for Data Science Teams

  Also AI and Deep Learning, Explained Simply; When not to use deep learning; Optimism for AI drop with experience developing AI systems.

  https://www.kdnuggets.com/2017/n28.html

• Learn from DeepMind at Deep Learning, AI Assistant Summits London, Sep 21-22

  We’d like to update you on RE•WORK’s Deep Learning Global Summit Series and the upcoming summits in London this September. We have an exclusive code to give KDnuggets readers discounted tickets to these events as well as on-demand content and expert interviews.

  https://www.kdnuggets.com/2017/07/re-work-learn-deepmind-london-deep-learning-ai-summits.html

• When not to use deep learning">When not to use deep learning

  Despite DL many successes, there are at least 4 situations where it is more of a hindrance, including low-budget problems, or when explaining models and features to general public is required.
   
   

  https://www.kdnuggets.com/2017/07/when-not-use-deep-learning.html

• Top Stories, Jul 17-23: Machine Learning Applied to Big Data, Explained; 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing

  Also: How GDPR Affects Data Science,AI and Deep Learning, Explained Simply; Are Most Machine Learning Experts Turning to Deep Learning?; Design by Evolution: How to evolve your neural network with AutoML

  https://www.kdnuggets.com/2017/07/top-stories-week-0717-0723.html

• AI and Deep Learning, Explained Simply">AI and Deep Learning, Explained Simply

  AI can now see, hear, and even bluff better than most people. We look into what is new and real about AI and Deep Learning, and what is hype or misinformation.
   

  https://www.kdnuggets.com/2017/07/ai-deep-learning-explained-simply.html

• Deep Learning, AI Assistant Summits London feature DeepMind and much more, Sep 21-22 – KDnuggets Offer

  The Deep Learning Summit London and the AI Assistant Summit London will be continuing the RE•WORK Global Summit Series this September 21 & 22. Early Bird discount is ending on July 28th. Register now to guarantee a spot at the Summit and use the discount code KDNUGGETS to save 20% on all tickets.

  https://www.kdnuggets.com/2017/07/re-work-deep-learning-ai-assistant-summits-london.html

• 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing">5 Free Resources for Getting Started with Deep Learning for Natural Language Processing

  This is a collection of 5 deep learning for natural language processing resources for the uninitiated, intended to open eyes to what is possible and to the current state of the art at the intersection of NLP and deep learning. It should also provide some idea of where to go next.

  https://www.kdnuggets.com/2017/07/5-free-resources-getting-started-deep-learning-nlp.html

• Are Most Machine Learning Experts Turning to Deep Learning?

  Read a short opinion on what the impact of machine learning researchers focusing on deep learning will be.

  https://www.kdnuggets.com/2017/07/most-machine-learning-experts-deep-learning.html

• Top Stories, Jul 10-16: The 4 Types of Data Analytics; What Are Artificial Intelligence, Machine Learning, and Deep Learning?

  Also: The Strange Loop in Deep Learning; How to Build a Data Science Pipeline; Automated Machine Learning - A Paradigm Shift That Accelerates Data Scientist Productivity; Medical Image Analysis with Deep Learning, Part 4

  https://www.kdnuggets.com/2017/07/top-stories-week-0710-0716.html

• Cartoon: The First Ever Self-Driving, Deep Learning Grill

  New KDnuggets Cartoon looks at what happens when self-driving craze collides with the traditional summer pastime of grilling.

  https://www.kdnuggets.com/2017/07/cartoon-self-driving-grill.html

• KDnuggets™ News 17:n26, Jul 12: Applying Deep Learning to Real-world Problems; New Poll: Will society be better from increased automation, AI?

  Also Text Clustering: Get quick insights from Unstructured Data; Using the TensorFlow API: An Introductory Tutorial Series; Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2

  https://www.kdnuggets.com/2017/n26.html

• Medical Image Analysis with Deep Learning , Part 4

  This is the fourth installment of this series, and covers medical images and their components, medical image formats and their format conversions. The goal is to develop knowledge to help us with our ultimate goal — medical image analysis with deep learning.

  https://www.kdnuggets.com/2017/07/medical-image-analysis-deep-learning-part-4.html

• The Strange Loop in Deep Learning

  This ‘strange loop’ is in fact is the fundamental reason for what Yann LeCun describes as “the coolest idea in machine learning in the last twenty years.”

  https://www.kdnuggets.com/2017/07/strange-loop-deep-learning.html

• Sturfee: Deep Learning Engineer

  You will be working on some amazing vision technologies for satellite and street view fusion that will become the cornerstone of future digital applications.

  https://www.kdnuggets.com/jobs/17/07-10-sturfee-deep-learning-engineer.html

• What Are Artificial Intelligence, Machine Learning, and Deep Learning?">What Are Artificial Intelligence, Machine Learning, and Deep Learning?

  AI and Machine Learning have become mainstream, and people know shockingly little about it. Here is an explainer and useful references.

  https://www.kdnuggets.com/2017/07/rapidminer-ai-machine-learning-deep-learning.html

• Top Stories Jul 3-9: Applying Deep Learning to Real-world Problems; Advice to your younger Data Scientist Self?

  Also Top 15 Python Libraries for Data Science in 2017; Apache Flink: The Next Distributed Data Processing Revolution?

  https://www.kdnuggets.com/2017/07/top-stories-week-0703-0709.html

• Top Stories, Jun 26-Jul 2: Top 10 Quora Machine Learning Writers and Their Best Advice; Applying Deep Learning to Real-world Problems

  Top 10 Quora Machine Learning Writers and Their Best Advice, Updated, Applying Deep Learning to Real-world Problems; Using the TensorFlow API: An Introductory Tutorial Series; Text Clustering: Get quick insights from Unstructured Data; Why Artificial Intelligence and Machine Learning?

  https://www.kdnuggets.com/2017/07/top-news-week-0626-0702.html

• Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2">Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2

  Here are deep learning examples and demos you can just download and run, including Spotify Artist Search using Speech APIs, Symbolic AI Speech Recognition, and Algorithmia API Photo Colorizer.

  https://www.kdnuggets.com/2017/07/deep-learning-demos-code-beginners-part2.html

• Applying Deep Learning to Real-world Problems">Applying Deep Learning to Real-world Problems

  In this blog post I shared three learnings that are important to us at Merantix when applying deep learning to real-world problems. I hope that these ideas are helpful for other people who plan to use deep learning in their business.

  https://www.kdnuggets.com/2017/06/applying-deep-learning-real-world-problems.html

• Deep Learning with R + Keras

  Keras has grown in popularity and supported on a wide set of platforms including Tensorflow, CNTK, Apple’s CoreML, and Theano. It is becoming the de factor language for deep learning.

  https://www.kdnuggets.com/2017/06/deep-learning-r-keras.html

• Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners

  Here are deep learning demos and examples you can just download and run. No Math. No Theory. No Books.

  https://www.kdnuggets.com/2017/06/deep-learning-demos-code-beginners.html

• KDnuggets™ News 17:n24, Jun 21: Learn Data Science skills you need for free; Understanding Deep Learning Requires Re-thinking Generalization

  Learn Data Science skills you need for free; Understanding Deep Learning Requires Re-thinking Generalization; K-means Clustering with Tableau - Call Detail Records; The Machine Learning Algorithms Used in Self-Driving Cars.

  https://www.kdnuggets.com/2017/n24.html

• Microsoft: Principal Data Scientist (Artificial Intelligence & Deep Learning)

  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.

  https://www.kdnuggets.com/jobs/17/06-20-microsoft-principal-data-scientist-artificial-intelligence-deep-learning.html

• Top Stories, Jun 12-18: Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap

  Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap; The Practical Importance of Feature Selection; Understanding Deep Learning Requires Re-thinking Generalization; K-means Clustering with Tableau

  https://www.kdnuggets.com/2017/06/top-news-week-0612-0618.html

• Understanding Deep Learning Requires Re-thinking Generalization">Understanding Deep Learning Requires Re-thinking Generalization

  What is it that distinguishes neural networks that generalize well from those that don’t? A satisfying answer to this question would not only help to make neural networks more interpretable, but it might also lead to more principled and reliable model architecture design.

  https://www.kdnuggets.com/2017/06/understanding-deep-learning-rethinking-generalization.html

• Medical Image Analysis with Deep Learning , Part 3

  In this article we will focus — basic deep learning using Keras and Theano. We will do 2 examples one using keras for basic predictive analytics and other a simple example of image analysis using VGG.

  https://www.kdnuggets.com/2017/06/medical-image-analysis-deep-learning-part-3.html