Deep Learning (1051)

• PayPal: Applied Research Scientist (AI-ML R&D / NLP / Deep Learning) - Aug 18, 2017.
  
  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.

  AI, CA, Deep Learning, Machine Learning Scientist, NLP, PayPal, Research Scientist, San Jose

• Deep Learning and Neural Networks Primer: Basic Concepts for Beginners - Aug 18, 2017.
  
  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.

  Deep Learning, Neural Networks

• A New Beginning to Deep Learning - Aug 17, 2017.
  
  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.

  AI, Deep Learning, Fei-Fei Li

• First Steps of Learning Deep Learning: Image Classification in Keras - Aug 16, 2017.
  
  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!

  Pages: 1 2

  Deep Learning, Image Recognition, Keras, Neural Networks

• A Guide to Understanding AI Toolkits - Aug 16, 2017.
  
  This post surveys today’s foremost options for AI in the form of deep learning, examining each toolkit’s primary advantages as well as their respective industry supporters.

  AI, Deep Learning, Machine Learning, SVDS

• Explore The Future of Deep Learning with @teamrework - Aug 15, 2017.
  
  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.

  AI, Deep Learning, London, Neural Networks, RE.WORK, UK, Virtual Assistant

• DeepMind Relational Reasoning Networks  Demystified - Aug 15, 2017.
  
  Every time DeepMind publishes a new paper, there is frenzied media coverage around it. We examine what is and is not real in recent work described as “DeepMind Neural Network Can Make Sense of Objects Around It”.

  AI, Deep Learning, DeepMind, LSTM, Neural Networks

• Deep Learning with Cloudera, Webinar Aug 24 - Aug 14, 2017.
  
  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.

  Cloudera, Deep Learning

• Deep Learning Algorithms are Changing the Future. Are You Missing Out? - Aug 9, 2017.
  
  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.

  CA, Deep Learning, London, RE.WORK, San Francisco, UK

• Mind Reading: Using Artificial Neural Nets to Predict Viewed Image Categories From EEG Readings - Aug 9, 2017.
  
  This post outlines the approach taken at a recent deep learning hackathon, hosted by YCombinator-backed startup DeepGram. The dataset: EEG readings from a Stanford research project that predicted which category of images their test subjects were viewing using linear discriminant analysis.

  Brain, Convolutional Neural Networks, Deep Learning, Neural Networks, SVDS

• KDnuggets™ News 17:n30, Aug 9: Machine Learning Algorithms: Concise Overview; Train your Deep Learning model faster and sharper - Aug 9, 2017.
  
  Also: A unified deep learning framework for time-series mobile sensing data processing; EDISON Data Science Framework Release 2; Data mining Airbnb.

  Data Science, Deep Learning, Machine Learning

• Going deeper with recurrent networks: Sequence to Bag of Words Model - Aug 8, 2017.
  
  Deep learning makes it possible to convert unstructured text to computable formats, incorporating semantic knowledge to train machine learning models. These digital data troves help us understand people on a new level.

  Deep Learning, LSTM, Machine Learning, NLP, Recurrent Neural Networks

• How I Used Deep Learning To Train A Chatbot To Talk Like Me - Aug 8, 2017.
  
  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.

  Pages: 1 2

  Chatbot, Deep Learning

• Train your Deep Learning Faster: FreezeOut - Aug 3, 2017.
  
  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.

  Deep Learning, Machine Learning, Model Performance, Modeling, Neural Networks

• Train your Deep Learning model faster and sharper: Snapshot Ensembling — M models for the cost of 1 - Aug 2, 2017.
  
  We explain a novel Snapshot Ensembling method for increasing accuracy of Deep Learning models while also reducing training time.

  Deep Learning, Ensemble Methods, Gradient Descent, Machine Learning, Model Performance

• DeepSense: A unified deep learning framework for time-series mobile sensing data processing - Aug 2, 2017.
  
  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.

  Pages: 1 2

  Data Processing, Deep Learning, Mobile, Time Series

• Top KDnuggets tweets, Jul 19-25: 5 Free Resources for Getting Started with #DeepLearning for NLP; 10 Free Must-Read Books for ML, DS - Jul 26, 2017.
  
  Also: 10 Free Must-Read Books for #MachineLearning and #DataScience; 4 cases when not to use #DeepLearning; #Internet speed and cost by country

  Deep Learning, NLP, South Korea, Top tweets

• KDnuggets™ News 17:n28, Jul 26: 5 Free Resources to start with Deep Learning for NLP; Emotional Intelligence for Data Science Teams - Jul 26, 2017.
  
  Also AI and Deep Learning, Explained Simply; When not to use deep learning; Optimism for AI drop with experience developing AI systems.

  AI, Data Science Team, Deep Learning, NLP

• Learn from DeepMind at Deep Learning, AI Assistant Summits London, Sep 21-22 - Jul 25, 2017.
  
  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.

  AI, Deep Learning, DeepMind, London, RE.WORK, UK

• Summary of Unintuitive Properties of Neural Networks - Jul 24, 2017.
  
  Neural networks work really well on many problems, including language, image and speech recognition. However understanding how they work is not simple, and here is a summary of unusual and counter intuitive properties they have.

  AI, Deep Learning, Hugo Larochelle, Neural Networks

• When not to use deep learning - Jul 24, 2017.
  
  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.
   
   

  Pages: 1 2

  Bayesian, Deep Learning, Hype, Optimization

• AI and Deep Learning, Explained Simply - Jul 21, 2017.
  
  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.
   

  Pages: 1 2 3

  AI, Deep Learning, Explained, Machine Learning

• Picking an Optimizer for Style Transfer - Jul 21, 2017.
  
  Gradient Descent, Adam or Limited-memory Broyden–Fletcher–Goldfarb–Shanno? Which will optimize your style transfer neural network faster and better? Read this post for a data-backed discussion.

  Art, Convolutional Neural Networks, Deep Learning, Neural Networks

• Deep Learning, AI Assistant Summits London feature DeepMind and much more, Sep 21-22 – KDnuggets Offer - Jul 20, 2017.
  
  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.

  AI, Chatbot, Deep Learning, Machine Learning, Neural Networks, RE.WORK, Virtual Assistant

• 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing - Jul 19, 2017.
  
  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.

  Deep Learning, Natural Language Processing, Neural Networks, NLP

• KDnuggets™ News 17:n27, Jul 19: The 4 Types of Data Analytics; Machine Learning Applied to Big Data, Explained - Jul 19, 2017.
  
  The 4 Types of Data Analytics; Machine Learning Applied to Big Data, Explained; Are Most Machine Learning Experts Turning to Deep Learning?; How to Build a Data Science Pipeline; Cartoon: The First Ever Self-Driving, Deep Learning Grill

  Analytics, Automated Machine Learning, Big Data, Data Science, Deep Learning, Machine Learning, Self-Driving Car

• Are Most Machine Learning Experts Turning to Deep Learning? - Jul 18, 2017.
  
  Read a short opinion on what the impact of machine learning researchers focusing on deep learning will be.

  Deep Learning, Machine Learning, Neural Networks

• Cartoon: The First Ever Self-Driving, Deep Learning Grill - Jul 15, 2017.
  
  New KDnuggets Cartoon looks at what happens when self-driving craze collides with the traditional summer pastime of grilling.

  Adversarial, Cartoon, Deep Learning, Self-Driving Car

• Top KDnuggets tweets, Jul 05-11: 10 Free Must-Read Books for #MachineLearning and #DataScience; Why AI and Machine Learning? - Jul 12, 2017.
  
  Also great overview: Unintuitive properties of #NeuralNetworks; #Apache #Flink vs #Spark: The Strange Loop in #DeepLearning - the coolest idea in #MachineLearning in 20 yrs;

  Deep Learning, Flink, Free ebook, Machine Learning, Neural Networks, Top tweets

• CAN (Creative Adversarial Network) - Explained - Jul 12, 2017.
  
  GANs (Generative Adversarial Networks), a type of Deep Learning networks, have been very successful in creating non-procedural content. This work explores the possibility of machine generated creative content.

  Art, Deep Learning, GANs, Generative Adversarial Network

• KDnuggets™ News 17:n26, Jul 12: Applying Deep Learning to Real-world Problems; New Poll: Will society be better from increased automation, AI? - Jul 12, 2017.
  
  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

  Clustering, Deep Learning, TensorFlow, Text Analytics

• Medical Image Analysis with Deep Learning , Part 4 - Jul 11, 2017.
  
  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.

  Deep Learning, Image Recognition, Medical, Neural Networks

• The Strange Loop in Deep Learning - Jul 11, 2017.
  
  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.”

  Deep Learning, Neural Networks, Yann LeCun

• Sturfee: Deep Learning Engineer - Jul 10, 2017.
  
  You will be working on some amazing vision technologies for satellite and street view fusion that will become the cornerstone of future digital applications.

  CA, Computer Vision, Deep Learning, Santa Clara, Social Gaming, Software Engineer, Sturfee

• What Are Artificial Intelligence, Machine Learning, and Deep Learning? - Jul 10, 2017.
  
  AI and Machine Learning have become mainstream, and people know shockingly little about it. Here is an explainer and useful references.

  AI, Artificial Intelligence, Deep Learning, Machine Learning, RapidMiner

• 5 Free Resources for Getting Started with Self-driving Vehicles - Jul 10, 2017.
  
  This is a short list of 5 resources to help newcomers find their bearings when learning about self-driving vehicles, all of which are free. This should be sufficient to learn the basics, and to learn where to look next for further instruction.

  Deep Learning, Machine Learning, Self-Driving Car, Udacity

• Top /r/MachineLearning Posts, June: NumPy Gets Funding; ML Cheat Sheets For All; Hot Dog or Not?!? - Jul 3, 2017.
  
  NumPy receives first ever funding, thanks to Moore Foundation; Cheat Sheets for deep learning and machine learning; How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow & Keras; Andrej Karpathy leaves OpenAI for Tesla; Machine, a machine learning IDE

  Andrej Karpathy, Cheat Sheet, Deep Learning, Keras, Machine Learning, Reddit, Self-Driving Car, TensorFlow

• Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2 - Jul 1, 2017.
  
  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.

  AI, Algorithmia, Beginners, Clarifai, Deep Learning, GitHub, iOS, Speech Recognition, Spotify

• Optimization in Machine Learning: Robust or global minimum? - Jun 30, 2017.
  
  Here we discuss how convex problems are solved and optimised in machine learning/deep learning.

  Deep Learning, Gradient Descent, Machine Learning, Optimization, UAI

• Applying Deep Learning to Real-world Problems - Jun 30, 2017.
  
  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.

  Balancing Classes, Deep Learning, Neural Networks, Training, Unbalanced

• Using the TensorFlow API: An Introductory Tutorial Series - Jun 28, 2017.
  
  This post summarizes and links to a great multi-part tutorial series on learning the TensorFlow API for building a variety of neural networks, as well as a bonus tutorial on backpropagation from the beginning.

  API, Deep Learning, LSTM, Neural Networks, Recurrent Neural Networks, TensorFlow

• Deep Learning with R + Keras - Jun 27, 2017.
  
  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.

  Deep Learning, Keras, Neural Networks, R

• Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners - Jun 26, 2017.
  
  Here are deep learning demos and examples you can just download and run. No Math. No Theory. No Books.

  Beginners, Deep Learning, GitHub, Music, Reinforcement Learning, Speech Recognition, TensorFlow

• Taxonomy of Methods for Deep Meta Learning - Jun 22, 2017.
  
  This post discusses a variety of contemporary Deep Meta Learning methods, in which meta-data is manipulated to generate simulated architectures. Current meta-learning capabilities involve either support for search for architectures or networks inside networks.

  Architecture, Deep Learning, Neural Networks

• Emerging Ecosystem: Data Science and Machine Learning Software, Analyzed - Jun 21, 2017.
  
  We examine which top tools are "friends", their Python vs R bias, and which work well with Spark/Hadoop and Deep Learning, and identify an emerging Big Data Deep Learning ecosystem.
   
   

  Pages: 1 2

  Big Data, Data Mining Software, Deep Learning, Poll, Python, Python vs R

• KDnuggets™ News 17:n24, Jun 21: Learn Data Science skills you need for free; Understanding Deep Learning Requires Re-thinking Generalization - Jun 21, 2017.
  
  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.

  Clustering, Data Science Skills, Deep Learning, Self-Driving Car, Tableau

• AI for fintech course – Early discounts and limited places - Jun 20, 2017.
  
  This new course with limited places will focus on AI design (product, development and Data) for the fintech industry and will be taught online by Ajit Jaokar and Jakob Aungiers.

  AI, Deep Learning, Fintech, Keras, Online Education, TensorFlow

• Microsoft: Principal Data Scientist (Artificial Intelligence & Deep Learning) - Jun 20, 2017.
  
  Currently we are expanding our team to support projects that focus on Artificial Intelligence and Cognitive analytics. We are looking for an expert in this field from business/academia with extensive experience in this area.

  AI, Artificial Intelligence, Data Scientist, Deep Learning, Microsoft, Redmond, WA

• Understanding Deep Learning Requires Re-thinking Generalization - Jun 16, 2017.
  
  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.

  Deep Learning, Machine Learning, Neural Networks

• Medical Image Analysis with Deep Learning , Part 3 - Jun 15, 2017.
  
  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.

  Deep Learning, Image Recognition, Medical, Neural Networks

• Top 15 Python Libraries for Data Science in 2017 - Jun 13, 2017.
  
  Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.

  Pages: 1 2

  Data Mining, Data Science, Deep Learning, Machine Learning, Natural Language Processing, Python, Visualization

• Deep Learning Papers Reading Roadmap - Jun 13, 2017.
  
  The roadmap is constructed in accordance with the following four guidelines: from outline to detail; from old to state-of-the-art; from generic to specific areas; focus on state-of-the-art.

  Deep Learning, Neural Networks

• Deep Learning: TensorFlow Programming via XML and PMML - Jun 9, 2017.
  
  In this approach, problem dataset and its Neural network are specified in a PMML like XML file. Then it is used to populate the TensorFlow graph, which, in turn run to get the results.

  Deep Learning, PMML, TensorFlow

• 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

• KDnuggets™ News 17:n22, Jun 7: 7 Steps to Mastering Data Preparation with Python; Why Does Deep Learning Not Have a Local Minimum? - Jun 7, 2017.
  
  7 Steps to Mastering Data Preparation with Python; Why Does Deep Learning Not Have a Local Minimum?; 7 Techniques to Handle Imbalanced Data; Which Machine Learning Algorithm Should I Use?; Is Regression Analysis Really Machine Learning?

  Data Preparation, Deep Learning, Machine Learning, Python, Regression, Unbalanced

• Deep Learning 101: Demystifying Tensors - Jun 2, 2017.
  
  Many deep-learning systems available today are based on tensor algebra, but tensor algebra isn’t tied to deep-learning. It isn’t hard to get started with tensor abuse but can be hard to stop.

  Deep Learning, Tensor, TensorFlow

• Why Does Deep Learning Not Have a Local Minimum? - Jun 2, 2017.
  
  "As I understand, the chance of having a derivative zero in each of the thousands of direction is low. Is there some other reason besides this?"

  Deep Learning, Neural Networks

• Data preprocessing for deep learning with nuts-ml - May 30, 2017.
  
  Nuts-ml is a new data pre-processing library in Python for GPU-based deep learning in vision. It provides common pre-processing functions as independent, reusable units. These so called ‘nuts’ can be freely arranged to build data flows that are efficient, easy to read and modify.

  Data Preparation, Deep Learning, IBM, Image Recognition, Python

• An Introduction to the MXNet Python API  - May 26, 2017.
  
  This post outlines an entire 6-part tutorial series on the MXNet deep learning library and its Python API. In-depth and descriptive, this is a great guide for anyone looking to start leveraging this powerful neural network library.

  API, AWS, Deep Learning, Neural Networks, Python

• The Path To Learning Artificial Intelligence - May 19, 2017.
  
  Learn how to easily build real-world AI for booming tech, business, pioneering careers and game-level fun.

  AI, Artificial Intelligence, Deep Learning, Learning Path, Machine Learning, Online Education, Python

• KDnuggets™ News 17:n19, May 17: Guerrilla Guide to Machine Learning with R; 5 Machine Learning Projects You Can’t Overlook - May 17, 2017.
  
  The Guerrilla Guide to Machine Learning with R; 5 Machine Learning Projects You Can No Longer Overlook, May; The Two Phases of Gradient Descent in Deep Learning; HDFS vs. HBase: All you need to know; Must-Know: What are common data quality issues for Big Data and how to handle them?

  Deep Learning, Gradient Descent, HBase, HDFS, Machine Learning, R

• The Two Phases of Gradient Descent in Deep Learning - May 12, 2017.
  
  In short, you reach different resting placing with different SGD algorithms. That is, different SGDs just give you differing convergence rates due to different strategies, but we do expect that they all end up at the same results!

  Deep Learning, ICLR, Neural Networks

• How Deep Learning Is Changing The Finance and Retail Sectors - May 11, 2017.
  
  Explore the latest advancements in deep learning and their applications in industry at the Deep Learning in Finance Summit and Deep Learning in Retail Summit in London, 1-2 June. Use discount code KDNUGGETS to save 20% off all tickets.

  Advertising, Deep Learning, Fintech, London, Machine Intelligence, NLP, RE.WORK, Retail

• 5 Machine Learning Projects You Can No Longer Overlook, May - May 10, 2017.
  
  In this month's installment of Machine Learning Projects You Can No Longer Overlook, we find some data preparation and exploration tools, a (the?) reinforcement learning "framework," a new automated machine learning library, and yet another distributed deep learning library.

  Automated Machine Learning, Data Exploration, Deep Learning, Distributed Systems, Machine Learning, Overlook, Pandas, Reinforcement Learning

• MLTrain: transitioning academic theory to practice - May 9, 2017.
  
  Learn how to master Machine Learning by understanding the theory behind. MLTrain also teaches the concepts and helpful tricks of key systems like TensorFlow and how to code machine learning algorithms using it.

  CNTK, Deep Learning, Johannesburg, Machine Learning, MLTrain, New York City, TensorFlow, Training

• Using Deep Learning To Extract Knowledge From Job Descriptions - May 9, 2017.
  
  We present a deep learning approach to extract knowledge from a large amount of data from the recruitment space. A learning to rank approach is followed to train a convolutional neural network to generate job title and job description embeddings.

  Convolutional Neural Networks, Deep Learning, Natural Language Processing, Neural Networks, NLP, Text Mining

• Building, Training, and Improving on Existing Recurrent Neural Networks - May 8, 2017.
  
  In this post, we’ll provide a short tutorial for training a RNN for speech recognition, including code snippets throughout.

  Deep Learning, Neural Networks, Recurrent Neural Networks, SVDS

• New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months? - May 5, 2017.
  
  Vote in KDnuggets 18th Annual Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months? We will clean, analyze, visualize, and publish the results.

  Data Mining Software, Data Science Platform, Deep Learning, Poll

• Deep Learning in Minutes with this Pre-configured Python VM Image - May 5, 2017.
  
  Check out this Python deep learning virtual machine image, built on top of Ubuntu, which includes a number of machine learning tools and libraries, along with several projects to get up and running with right away.

  Deep Learning, Machine Learning, Python

• Advances in AI & Deep Learning: DeepMind, Facebook & OpenAI - May 4, 2017.
  
  RE•WORK would like to update KDnuggets readers on their upcoming European events, as discounted tickets end next week, and share their on-demand content and expert interviews! For 20% off pass prices for all RE•WORK events, use discount code KDNUGGETS.

  AI, Amsterdam, Deep Learning, DeepMind, Facebook, London, Netherlands, OpenAI, RE.WORK, UK

• Top KDnuggets tweets, Apr 26 – May 02: Face Recognition with Python, in under 25 lines of code - May 3, 2017.
  
  Face Recognition with Python, in under 25 lines of code; Try #DeepLearning in #Python w. a fully pre-configured VM; Homo Bayesians #MachineLearning #humor #cartoon; The Most Popular Language For #MachineLearning, #DataScience Is ...

  Deep Learning, Face Recognition, Pandas, Python, Top tweets

• 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

• How Not To Program the TensorFlow Graph - May 1, 2017.
  
  Using TensorFlow from Python is like using Python to program another computer. Being thoughtful about the graphs you construct can help you avoid confusion and costly performance problems.

  Deep Learning, Programming, Python, TensorFlow

• The Guerrilla Guide to Machine Learning with Python - May 1, 2017.
  
  Here is a bare bones take on learning machine learning with Python, a complete course for the quick study hacker with no time (or patience) to spare.

  Deep Learning, Machine Learning, Pandas, Python, scikit-learn, Sebastian Raschka

• One Deep Learning Virtual Machine to Rule Them All - Apr 28, 2017.
  
  The frontend code of programming languages only needs to parse and translate source code to an intermediate representation (IR). Deep Learning frameworks will eventually need their own “IR.”

  Deep Learning, Neural Networks

• Top KDnuggets tweets, Apr 19-25: 10 Free Must-Read Books for Machine Learning and Data Science - Apr 26, 2017.
  
  Also Practical #DeepLearning For Coders-18 hours of free lessons; Different views of #Machinelearning #cartoon #humor; Scikit-learn #MachineLearning classification algorithms.

  Deep Learning, Free ebook, Machine Learning, scikit-learn, Top tweets

• How to Build a Recurrent Neural Network in TensorFlow - Apr 26, 2017.
  
  This is a no-nonsense overview of implementing a recurrent neural network (RNN) in TensorFlow. Both theory and practice are covered concisely, and the end result is running TensorFlow RNN code.

  Deep Learning, Neural Networks, Recurrent Neural Networks, TensorFlow

• KDnuggets™ News 17:n16, Apr 26: Awesome Deep Learning: Most Cited Deep Learning Papers; Data Science for the Layman - Apr 26, 2017.
  
  Awesome Deep Learning: Most Cited Deep Learning Papers; Data Science for the Layman; Best Data Science Courses from Udemy; Negative Results on Negative Images: Major Flaw in Deep Learning?

  Data Science, Deep Learning, Image Recognition, Udemy

• Awesome Deep Learning: Most Cited Deep Learning Papers - Apr 21, 2017.
  
  This post introduces a curated list of the most cited deep learning papers (since 2012), provides the inclusion criteria, shares a few entry examples, and points to the full listing for those interested in investigating further.

  Deep Learning, Neural Networks, Research

• Negative Results on Negative Images: Major Flaw in Deep Learning? - Apr 20, 2017.
  
  This is an overview of recent research outlining the limitations of the capabilities of image recognition using deep neural networks. But should this really be considered a "limitation?"

  Deep Learning, Image Recognition, Neural Networks

• Join Deep Learning leaders in Boston, May 25-26 – KDnuggets Offer - Apr 18, 2017.
  
  We're gathering 400+ leading experts and healthcare professionals at the Deep Learning Summit, and Deep Learning in Healthcare Summit in Boston on May 25-26. KDnuggets subscribers get 20% off pass prices for all RE•WORK events with discount code KDNUGGETS.

  Boston, Deep Learning, Healthcare, MA, RE.WORK

• More Deep Learning “Magic”: Paintings to photos, horses to zebras, and more amazing image-to-image translation - Apr 17, 2017.
  
  This is an introduction to recent research which presents an approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples.

  Deep Learning, Generative Adversarial Network, Generative Models, Torch

• Medical Image Analysis with Deep Learning , Part 2 - Apr 13, 2017.
  
  In this article we will talk about basics of deep learning from the lens of Convolutional Neural Nets. We plan to use this knowledge to build CNNs in the next post and use Keras to develop a model to predict lung cancer.

  Convolutional Neural Networks, Deep Learning, Image Recognition, Medical, Neural Networks

• 5 Machine Learning Projects You Can No Longer Overlook, April - Apr 13, 2017.
  
  It's about that time again... 5 more machine learning or machine learning-related projects you may not yet have heard of, but may want to consider checking out. Find tools for data exploration, topic modeling, high-level APIs, and feature selection herein.

  Data Exploration, Deep Learning, Java, Machine Learning, Neural Networks, Overlook, Python, Scala, scikit-learn, Topic Modeling

• Speaker Introduction for the Deep Learning Summit & Deep Learning in Healthcare Summit in Boston, 25-26 May (KDnuggets Offer) - Apr 13, 2017.
  
  Explore the latest advancements in deep learning and their applications in industry and healthcare at the Deep Learning Summit and Deep Learning in Healthcare Summit in Boston, 25-26 May. Use discount code KDNUGGETS to save 20% off all tickets.

  AI, Boston, Deep Learning, Healthcare, MA, Machine Intelligence, RE.WORK

• KDnuggets™ News 17:n14, Apr 12: Free Machine Learning & Data Science Books; Top Machine Learning & Deep Learning Papers - Apr 12, 2017.
  
  10 Free Must-Read Books for Machine Learning and Data Science; Top 20 Recent Research Papers on Machine Learning and Deep Learning; New Poll: What data types you analyzed?; The 42 V's of Big Data and Data Science; A Brief History of Artificial Intelligence

  Books, Data Science, Deep Learning, Free ebook, Machine Learning, Poll, Research

• ODSC East 2017: Accelerate your Deep Learning & Machine Learning Knowledge and Career Opportunities, Boston, May 3-5 - Apr 7, 2017.
  
  With change comes opportunity! The pace of data science innovation continues to quicken. New tools and techniques are constantly emerging especially around deep learning and machine learning. In 2017 many more companies are embarking on data science projects.

  Boston, Data Science, Deep Learning, MA, Machine Learning, ODSC

• Medical Image Analysis with Deep Learning  - Apr 6, 2017.
  
  In this article, I start with basics of image processing, basics of medical image format data and visualize some medical data.

  Deep Learning, Image Recognition, Medical, Neural Networks

• Top 20 Recent Research Papers on Machine Learning and Deep Learning - Apr 6, 2017.
  
  Machine learning and Deep Learning research advances are transforming our technology. Here are the 20 most important (most-cited) scientific papers that have been published since 2014, starting with "Dropout: a simple way to prevent neural networks from overfitting".

  Deep Learning, Machine Learning, Research, Top list, Yoshua Bengio

• Deep Stubborn Networks – A Breakthrough Advance Towards Adversarial Machine Intelligence - Apr 1, 2017.
  
  The exciting announcement yesterday of Deep Stubborn Networks (StubNets) introduces an innovative refinement to GANs, taking their development in a new direction.

  Deep Learning, Generative Adversarial Network, Humor

• Join Deep Learning Leaders in London, June 1-2 (KDnuggets Offer) - Mar 30, 2017.
  
  400+ leading experts and business executives convene at the Deep Learning in Finance & Retail and Advertising Summits, London, June 1-2. KDnuggets subscribers get 20% off with code KDNUGGETS.

  Deep Learning, Finance, London, Retail, UK

• KDnuggets™ News 17:n12, Mar 29: Getting Started with Deep Learning; Thinking Like a Data Scientist; What is Data Science?!? - Mar 29, 2017.
  
  Getting Started with Deep Learning; Thinking Like a Data Scientist; What Is Data Science, and What Does a Data Scientist Do?; Key Takeaways from Strata + Hadoop World; Deep Learning, Generative Adversarial Networks  & Boxing

  Data Science, Data Scientist, Deep Learning, Fake News, Strata, Sweden

• Deep Learning, Generative Adversarial Networks  & Boxing – Toward a Fundamental Understanding - Mar 28, 2017.
  
  In this post we will see why GANs have so much potential, and frame GANs as a boxing match between two opponents.

  Deep Learning, Generative Adversarial Network, Neural Networks

• The Next Challenges for Reinforcement Learning - Mar 28, 2017.
  
  Despite the recent success of RL, there is still a lot of work to be done before it will become a mainstream technique. In this blog-post, we look at some of the remaining challenges that are currently being studied.

  AI, Deep Learning, Reinforcement Learning

• Analytics and Machine Learning training in Q2 - Mar 24, 2017.
  
  Learn Anomaly Detection, Deep Learning, or Customer Analytics in R online at Statistics.com with top instructors who are leaders of the field. Use code 3CAP17 before March 30 to save $170.

  Anomaly Detection, Customer Analytics, Deep Learning, Online Education, Statistics.com

• Getting Started with Deep Learning - Mar 24, 2017.
  
  This post approaches getting started with deep learning from a framework perspective. Gain a quick overview and comparison of available tools for implementing neural networks to help choose what's right for you.

  Caffe, CNTK, Deep Learning, Keras, SVDS, TensorFlow, Theano, Torch

• Deep Learning Summit & Deep Learning in Healthcare Summit in Boston, 25-26 May (KDnuggets Offer) - Mar 22, 2017.
  
  Explore the latest advancements in deep learning and their applications in industry and healthcare at the Deep Learning Summit and Deep Learning in Healthcare Summit in Boston, 25-26 May. Use discount code KDNUGGETS to save 20% off all tickets.

  Boston, Deep Learning, Healthcare, MA, RE.WORK, Summit

• Homebrewed Deep Learning and Do-It-Yourself Robotics - Mar 14, 2017.
  
  Learn how to experiment with embodied robotic cognition with IBM Project Intu, a platform that extends Deep Learning and other cognitive services to new devices with minimum coding.

  Cognitive Computing, Deep Learning, IBM, Robots

• 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

• Greed, Fear, Game Theory and Deep Learning - Mar 3, 2017.
  
  The most advanced kind of Deep Learning system will involve multiple neural networks that either cooperate or compete to solve problems. The core problem of a multi-agent approach is how to control its behavior.

  AI, Deep Learning, Reinforcement Learning

• 7 More Steps to Mastering Machine Learning With Python - Mar 1, 2017.
  
  This post is a follow-up to last year's introductory Python machine learning post, which includes a series of tutorials for extending your knowledge beyond the original.
   
   

  Pages: 1 2

  7 Steps, Classification, Clustering, Deep Learning, Ensemble Methods, Gradient Boosting, Machine Learning, Python, scikit-learn, Sebastian Raschka

• KDnuggets™ News 17:n08, Mar 1: Deep Learning Frameworks Dissected; Gartner Magic Quadrant for Data Science Platforms - Mar 1, 2017.
  
  The Anatomy of Deep Learning Frameworks; Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers; Data Science vs Fake News Contest; An Overview of Python Deep Learning Frameworks; Moving from R to Python: The Libraries You Need to Know

  Data Science, Deep Learning, Fake News, Gartner, Magic Quadrant, Python, R

• An Overview of Python Deep Learning Frameworks - Feb 27, 2017.
  
  Read this concise overview of leading Python deep learning frameworks, including Theano, Lasagne, Blocks, TensorFlow, Keras, MXNet, and PyTorch.

  Deep Learning, Keras, Neural Networks, Python, TensorFlow, Theano, Torch

• The Anatomy of Deep Learning Frameworks - Feb 24, 2017.
  
  This post sketches out some common principles which would help you better understand deep learning frameworks, and provides a guide on how to implement your own deep learning framework as well.
   

  Deep Learning, Neural Networks

• Top KDnuggets tweets, Feb 15-21: curated list of top #DeepLearning papers; Hill for the #DataScientist: An xkcd Story - Feb 22, 2017.
  
  Sir Austin Bradford Hill for the #DataScientist: An xkcd Story; Attacking #machinelearning with adversarial examples; Hans Rosling: An Appreciation - Great Data Scientist, Great Human #RIP; The Most Popular Language For #MachineLearning and #DataScience Is ...

  Adversarial, Computer Vision, Deep Learning, Hans Rosling, Top tweets

• The Gentlest Introduction to Tensorflow – Part 4 - Feb 22, 2017.
  
  This post is the fourth entry in a series dedicated to introducing newcomers to TensorFlow in the gentlest possible manner, and focuses on logistic regression for classifying the digits of 0-9.

  Beginners, Deep Learning, Machine Learning, Neural Networks, TensorFlow

• The Gentlest Introduction to Tensorflow – Part 3 - Feb 21, 2017.
  
  This post is the third entry in a series dedicated to introducing newcomers to TensorFlow in the gentlest possible manner. This entry progresses to multi-feature linear regression.

  Beginners, Deep Learning, Machine Learning, Neural Networks, Regression, TensorFlow

• Deep Learning, Artificial Intuition and the Quest for AGI - Feb 20, 2017.
  
  Deep Learning systems exhibit behavior that appears biological despite not being based on biological material. It so happens that humanity has luckily stumbled upon Artificial Intuition in the form of Deep Learning.

  AGI, AI, Deep Learning, Machine Intelligence

• Top KDnuggets tweets, Feb 08-14: 5 Free Courses for Getting Started in AI; Deep Learning for NLP at Oxford, course materials - Feb 15, 2017.
  
  5 Free Courses for Getting Started in #AI; Python #DataScience tutorial: Making #Python Speak #SQL with pandasql; Course materials: #DeepLearning for Natural Language Processing at Oxford; Resources for Learning AI, courtesy of McGill #AI Society.

  AI, Deep Learning, NLP, R Packages, Top tweets

• Top KDnuggets tweets, Feb 01-07: Learning to Learn by Gradient Descent by Gradient Descent - Feb 8, 2017.
  
  Also #DeepLearning Research Review: Natural Language Processing; K-Means, Other Clustering Algorithms: A Quick Intro with #Python; Why #DeepLearning Needs Assembler Hackers.

  Clustering, Deep Learning, K-means, LSTM, Top tweets

• KDnuggets™ News 17:n05, Feb 8: Identifying Better Predictors; 5 Career Paths in Big Data, Data Science Explained - Feb 8, 2017.
  
  Identifying Variables That Might Be Better Predictors; 5 Career Paths in Big Data and Data Science, Explained; 5 Free Courses for Getting Started in Artificial Intelligence; 3 practical thoughts on why deep learning performs so well

  AI, Big Data, Career, Data Science, Deep Learning, Machine Learning, Predictive Analytics, R Packages

• Turbo Charge Agile Processes with Deep Learning - Feb 7, 2017.
  
  The key to leveraging Deep Learning, or more broadly AI, in the workplace is to understand where it fits within an agile development environment.

  Agile, Deep Learning, Neural Networks, Software Engineering

• 3 practical thoughts on why deep learning performs so well - Feb 3, 2017.
  
  Why does Deep Learning perform better than other machine learning methods? We offer 3 reasons: integration of integration of feature extraction within the training process, collection of very large data sets, and technology development.

  Big Data, Convolutional Neural Networks, Deep Learning, Deep Neural Network, Feature Extraction, Recurrent Neural Networks

• Top arXiv Papers, January: ConvNets Advances, Wide Instead of Deep, Adversarial Networks Win, Learning to Reinforcement Learn - Feb 3, 2017.
  
  Check out the top arXiv Papers from January, covering convolutional neural network advances, why wide may trump deep, generative adversarial networks, learning to reinforcement learn, and more.

  Adversarial, arXiv, Convolutional Neural Networks, Deep Learning, GANs, Neural Networks, Reinforcement Learning

• Is Deep Learning the Silver Bullet? - Feb 1, 2017.
  
  With nearly every every smart young computer scientist planning to work on deep learning, are there really still artificial intelligence researchers working on other techniques? Is deep learning the AI silver bullet?

  AI, Deep Learning, Machine Learning

• 5 Free Courses for Getting Started in Artificial Intelligence - Feb 1, 2017.
  
  A carefully-curated list of 5 free collections of university course material to help you better understand the various aspects of what artificial intelligence and skills necessary for moving forward in the field.

  AI, Artificial Intelligence, Deep Learning, MIT, Reinforcement Learning, Self-Driving Car, UC Berkeley

• ODSC Masterclass Summit, San Francisco, March 1-2: Premium Data Science Training + Save 25% thru Jan 31 - Jan 31, 2017.
  
  Deep Learning is on everyone's list of top skills to learn in 2017. ODSC Masterclass Summit, San Francisco, March 1-2 offers 2 intense days of hands-on training in deep learning. Use discount code: KD25 for an extra 25% Off before it expires Jan 31 at 11 PM!

  CA, Data Science, Deep Learning, ODSC, San Francisco

• Deep Learning Research Review: Natural Language Processing - Jan 31, 2017.
  
  This edition of Deep Learning Research Review explains recent research papers in Natural Language Processing (NLP). If you don't have the time to read the top papers yourself, or need an overview of NLP with Deep Learning, this post is for you.

  Pages: 1 2 3

  Deep Learning, Natural Language Processing, Neural Networks, NLP

• Creating Curious Machines: Building Information-seeking Agents - Jan 24, 2017.
  
  Researchers at Maluuba are developing ways to teach artificial agents how to seek information actively, by asking questions. This includes a deep neural agent that learns to accomplish these tasks through efficient information-seeking behaviour, a vital step towards Artificial General Intelligence.

  Agents, AI, Deep Learning, Machine Intelligence, Maluuba, Neural Networks

• Eat Melon: A Deep Q Reinforcement Learning Demo in your browser - Jan 20, 2017.
  
  Check "Eat Melon demo", a fun way to gain familiarity with the Deep Q Learning algorithm, which you can do in your browser.

  Atari, Deep Learning, OpenAI, Reinforcement Learning

• The Data Science Puzzle, Revisited - Jan 20, 2017.
  
  The data science puzzle is re-examined through the relationship between several key concepts in the realm, and incorporates important updates and observations from the past year. The result is a modified explanatory graphic and rationale.

  AI, Big Data, Data Mining, Data Science, Deep Learning, Machine Learning

• KDnuggets™ News 17:n02, Jan 18: Most Popular Language For Machine Learning; Analytics & Data Science Make Business Smarter - Jan 18, 2017.
  
  The Most Popular Language For Machine Learning and Data Science; Analytics & Data Science Make Business Smarter; Exclusive: Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science; 90 Active Blogs on Analytics, Big Data, Data Mining, and Data Science

  Analytics, Blogs, Data Science, Deep Learning, Machine Learning, Programming Languages

• Deep Learning Can be Applied to Natural Language Processing - Jan 16, 2017.
  
  This post is a rebuttal to a recent article suggesting that neural networks cannot be applied to natural language given that language is not a produced as a result of continuous function. The post delves into some additional points on deep learning as well.

  Deep Learning, Natural Language Processing, Neural Networks, NLP

• Exclusive: Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science, and more - Jan 14, 2017.
  
  My exclusive interview with rock star Data Scientist Jeremy Howard, on his latest Deep Learning course, what is needed for success in Kaggle, how Enlitic is transforming medical diagnostics, and what Data Scientists should do to create value for their organization.

  AI, Australia, Automation, Deep Learning, Enlitic, fast.ai, Healthcare, Jeremy Howard, Kaggle

• 4 ways to learn about Deep Learning, Anomaly Detection and more Data Science topics online at Statistics.com - Jan 11, 2017.
  
  Online courses at Statistics.com are small, with rich and engaging content that includes readings, videos, quizzes, homework, projects, and practical work with software. Use promo code deepkdn17 to save.

  Anomaly Detection, Data Science Certificate, Data Science Education, Deep Learning, Online Education, Statistics.com

• 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

• Deep Learning in Healthcare Summit in London, 28 February – 1 March (KDnuggets Offer) - Jan 11, 2017.
  
  Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the healthcare sector at the Deep Learning in Healthcare Summit in London, 28 February – 1 March. Use discount code KDNUGGETS to save 20%.

  AI, Deep Learning, Healthcare, London, Machine Learning, RE.WORK

• KDnuggets™ News 17:n01, Jan 11: 5 Machine Learning Projects You Can’t Overlook; Future of Deep Learning; Self-Driving Car Surprises - Jan 11, 2017.
  
  Also Game Theory Reveals the Future of Deep Learning; Generative Adversarial Networks - Hot Topic in ML; Cartoon: When Self-Driving Cars take you too far

  2017 Predictions, Deep Learning, Machine Learning, Self-Driving Car