Search results for deep learning

Found 5405 documents, 14209 searched:

• Audio Data Analysis Using Deep Learning with Python (Part 2)

  This is a followup to the first article in this series. Once you are comfortable with the concepts explained in that article, you can come back and continue with this.

  https://www.kdnuggets.com/2020/02/audio-data-analysis-deep-learning-python-part-2.html

• Audio Data Analysis Using Deep Learning with Python (Part 1)">Audio Data Analysis Using Deep Learning with Python (Part 1)

  A brief introduction to audio data processing and genre classification using Neural Networks and python.

  https://www.kdnuggets.com/2020/02/audio-data-analysis-deep-learning-python-part-1.html

• Uber Has Been Quietly Assembling One of the Most Impressive Open Source Deep Learning Stacks in the Market

  Many of the technologies used by Uber teams have been open sourced and received accolades from the machine learning community. Let’s look at some of my favorites.

  https://www.kdnuggets.com/2020/01/uber-quietly-assembling-impressive-open-source-deep-learning.html

• Explaining Black Box Models: Ensemble and Deep Learning Using LIME and SHAP

  This article will demonstrate explainability on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence, using two state of the art open source explainability techniques, LIME and SHAP.

  https://www.kdnuggets.com/2020/01/explaining-black-box-models-ensemble-deep-learning-lime-shap.html

• Methods, challenges & applications of Deep Learning | Munich 11-12 May

  Visit Deep Learning World, 11-12 May in Munich, to broaden your knowledge, deepen your understanding and discuss your questions with other Deep Learning experts!

  https://www.kdnuggets.com/2020/01/paw-methods-challenges-applications-deep-learning-munich.html

• Applying Occam’s razor to Deep Learning

  Finding a deep learning model to perform well is an exciting feat. But, might there be other -- less complex -- models that perform just as well for your application? A simple complexity measure based on the statistical physics concept of Cascading Periodic Spectral Ergodicity (cPSE) can help us be computationally efficient by considering the least complex during model selection.

  https://www.kdnuggets.com/2020/01/occams-razor-deep-learning.html

• Fighting Overfitting in Deep Learning

  This post outlines an attack plan for fighting overfitting in neural networks.

  https://www.kdnuggets.com/2019/12/fighting-overfitting-deep-learning.html

• Top KDnuggets tweets, Dec 04-10: AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020

  AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments and Key Trends; Down with technical debt! Clean #Python for #DataScientists; Calculate Similarity - the most relevant Metrics in a Nutshell.

  https://www.kdnuggets.com/2019/12/top-tweets-dec04-10.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020

  We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

  https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-technology.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020

  As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.

  https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-research.html

• Enabling the Deep Learning Revolution

  Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.

  https://www.kdnuggets.com/2019/12/enabling-deep-learning-revolution.html

• Popular Deep Learning Courses of 2019

  With deep learning and AI on the forefront of the latest applications and demands for new business directions, additional education is paramount for current machine learning engineers and data scientists. These courses are famous among peers, and will help you demonstrate tangible proof of your new skills.

  https://www.kdnuggets.com/2019/12/deep-learning-courses.html

• Two Years In The Life of AI, Machine Learning, Deep Learning and Java

  Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.

  https://www.kdnuggets.com/2019/11/life-ai-machine-learning-deep-learning-java.html

• Deep Learning for Image Classification with Less Data

  In this blog I will be demonstrating how deep learning can be applied even if we don’t have enough data.

  https://www.kdnuggets.com/2019/11/deep-learning-image-classification-less-data.html

• How to apply machine learning and deep learning methods to audio analysis

  Find out how data scientists and AI practitioners can use a machine learning experimentation platform like Comet.ml to apply machine learning and deep learning to methods in the domain of audio analysis.

  https://www.kdnuggets.com/2019/11/comet-machine-learning-deep-learning-audio.html

• Research Guide for Depth Estimation with Deep Learning

  In this guide, we’ll look at papers aimed at solving the problems of depth estimation using deep learning.

  https://www.kdnuggets.com/2019/11/research-guide-depth-estimation-deep-learning.html

• Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch">Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch

  The new release of PyTorch includes some impressive open source projects for deep learning researchers and developers.

  https://www.kdnuggets.com/2019/11/facebook-quietly-open-sourcing-amazing-deep-learning-capabilities-pytorch.html

• Research Guide for Video Frame Interpolation with Deep Learning

  In this research guide, we’ll look at deep learning papers aimed at synthesizing video frames within an existing video.

  https://www.kdnuggets.com/2019/10/research-guide-video-frame-interpolation-deep-learning.html

• Activation maps for deep learning models in a few lines of code">Activation maps for deep learning models in a few lines of code

  We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code.

  https://www.kdnuggets.com/2019/10/activation-maps-deep-learning-models-lines-code.html

• Overcoming Deep Learning Stumbling Blocks

  Find out what was presented at the 6th annual Deep Learning Summit in London where industry leaders, academics, researchers, and innovative startups presenting the latest technological advancements and industry application methods in the field of deep learning.

  https://www.kdnuggets.com/2019/10/overcoming-deep-learning-stumbling-blocks.html

• 6 Must See Deep Learning Experts at ODSC West 2019 – 20% Off Ends Friday

  You won’t want to miss the opportunity to learn about the future of deep learning first-hand at ODSC West in San Francisco, Oct 29 - Nov 1. So don’t forget to register soon for 20% off.

  https://www.kdnuggets.com/2019/10/odsc-must-see-deep-learning-experts-discount-ends-friday.html

• Top Stories, Sep 23-29: The Future of Analytics and Data Science; 5 Famous Deep Learning Courses/Schools of 2019

  Also: 12 Deep Learning Researchers and Leaders; Natural Language in Python using spaCy: An Introduction; A Single Function to Streamline Image Classification with Keras; Which Data Science Skills are core and which are hot/emerging ones?; 6 bits of advice for Data Scientists

  https://www.kdnuggets.com/2019/09/top-news-week-0923-0929.html

• 5 Famous Deep Learning Courses/Schools of 2019">5 Famous Deep Learning Courses/Schools of 2019

  Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.

  https://www.kdnuggets.com/2019/09/famous-deep-learning-courses-schools-2019.html

• 12 Deep Learning Researchers and Leaders">12 Deep Learning Researchers and Leaders

  Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.

  https://www.kdnuggets.com/2019/09/12-deep-learning-research-leaders.html

• 5 Step Guide to Scalable Deep Learning Pipelines with d6tflow

  How to turn a typical pytorch script into a scalable d6tflow DAG for faster research & development.

  https://www.kdnuggets.com/2019/09/5-step-guide-scalable-deep-learning-pipelines-d6tflow.html

• A 2019 Guide to Speech Synthesis with Deep Learning

  In this article, we’ll look at research and model architectures that have been written and developed to do just that using deep learning.

  https://www.kdnuggets.com/2019/09/2019-guide-speech-synthesis-deep-learning.html

• Deep Learning Next Step: Transformers and Attention Mechanism">Deep Learning Next Step: Transformers and Attention Mechanism

  With the pervasive importance of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.

  https://www.kdnuggets.com/2019/08/deep-learning-transformers-attention-mechanism.html

• Artificial Intelligence vs. Machine Learning vs. Deep Learning: What is the Difference?

  Over the past few years, artificial intelligence continues to be one of the hottest topics. And in order to work effectively with it, you need to understand its constituent parts.

  https://www.kdnuggets.com/2019/08/artificial-intelligence-vs-machine-learning-vs-deep-learning-difference.html

• Deep Learning for NLP: Creating a Chatbot with Keras!">Deep Learning for NLP: Creating a Chatbot with Keras!

  Learn how to use Keras to build a Recurrent Neural Network and create a Chatbot! Who doesn’t like a friendly-robotic personal assistant?

  https://www.kdnuggets.com/2019/08/deep-learning-nlp-creating-chatbot-keras.html

• Top KDnuggets tweets, Aug 07-13: Deep Learning Cheat Sheets; 12 NLP Researchers, Practitioners To Follow

  Deep Learning Cheat Sheets; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Knowing Your Neighbours: Machine Learning on Graphs.

  https://www.kdnuggets.com/2019/08/top-tweets-aug07-13.html

• Postdoctoral position (2 years) in multivariate analysis and deep learning [Umeå, Sweden]

  Help develop new e-science methods that fundamentally integrates Deep Learning and Multivariate analysis. The postdoc position is full-time for a period of two years

  https://www.kdnuggets.com/jobs/19/08-13-umea-postdoctoral-position.html

• Deep Learning for NLP: ANNs, RNNs and LSTMs explained!">Deep Learning for NLP: ANNs, RNNs and LSTMs explained!

  Learn about Artificial Neural Networks, Deep Learning, Recurrent Neural Networks and LSTMs like never before and use NLP to build a Chatbot!

  https://www.kdnuggets.com/2019/08/deep-learning-nlp-explained.html

• Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree

  This cheatsheet should be easier to digest than the official documentation and should be a transitional tool to get students and beginners to get started reading documentations soon.

  https://www.kdnuggets.com/2019/08/pytorch-cheat-sheet-beginners.html

• Easily Deploy Deep Learning Models in Production

  Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. Challenges like multiple frameworks, underutilized infrastructure and lack of standard implementations can even cause AI projects to fail. This blog explores how to navigate these challenges.

  https://www.kdnuggets.com/2019/08/nvidia-deploy-deep-learning-models-production.html

• How a simple mix of object-oriented programming can sharpen your deep learning prototype

  By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.

  https://www.kdnuggets.com/2019/08/simple-mix-object-oriented-programming-sharpen-deep-learning-prototype.html

• KDnuggets™ News 19:n27, Jul 24: Bayesian deep learning and near-term quantum computers; DeepMind’s CASP13 Protein Folding Upset Summary

  This week on KDnuggets: Learn how DeepMind dominated the last CASP competition for advancing protein folding models; Bayesian deep learning and near-term quantum computers: A cautionary tale in quantum machine learning; The Evolution of a ggplot; Adapters: A Compact and Extensible Transfer Learning Method for NLP; 12 Things I Learned During My First Year as a Machine Learning Engineer; Things I Learned From the SciPy 2019 Lightning Talks; and much more!

  https://www.kdnuggets.com/2019/n27.html

• Top Stories, Jul 15-21: The Death of Big Data and the Emergence of the Multi-Cloud Era; Bayesian deep learning and near-term quantum computers

  Also: Dealing with categorical features in machine learning; Computer Vision for Beginners: Part 1; Big Data for Insurance; A Summary of DeepMind's Protein Folding Upset at CASP13; The Hackathon Guide for Aspiring Data Scientists

  https://www.kdnuggets.com/2019/07/top-news-week-0715-0721.html

• Bayesian deep learning and near-term quantum computers: A cautionary tale in quantum machine learning">Bayesian deep learning and near-term quantum computers: A cautionary tale in quantum machine learning

  This blog post is an overview of quantum machine learning written by the author of the paper Bayesian deep learning on a quantum computer. In it, we explore the application of machine learning in the quantum computing space. The authors of this paper hope that the results of the experiment help influence the future development of quantum machine learning.

  https://www.kdnuggets.com/2019/07/bayesian-deep-learning-near-term-quantum-computers.html

• Scaling a Massive State-of-the-art Deep Learning Model in Production

  A new NLP text writing app based on OpenAI's GPT-2 aims to write with you -- whenever you ask. Find out how the developers setup and deployed their model into production from an engineer working on the team.

  https://www.kdnuggets.com/2019/07/scaling-massive-deep-learning-model-production.html

• An Overview of Human Pose Estimation with Deep Learning

  Human Pose Estimation is one of the main research areas in computer vision. The reason for its importance is the abundance of applications that can benefit from such a technology. Here's an introduction to the different techniques used in Human Pose Estimation based on Deep Learning.

  https://www.kdnuggets.com/2019/06/human-pose-estimation-deep-learning.html

• PySyft and the Emergence of Private Deep Learning

  PySyft is an open-source framework that enables secured, private computations in deep learning, by combining federated learning and differential privacy in a single programming model integrated into different deep learning frameworks such as PyTorch, Keras or TensorFlow.

  https://www.kdnuggets.com/2019/06/pysyft-emergence-deep-learning.html

• The Data Fabric for Machine Learning Part 1-b – Deep Learning on Graphs

  Deep learning on graphs is taking more importance by the day. Here I’ll show the basics of thinking about machine learning and deep learning on graphs with the library Spektral and the platform MatrixDS.

  https://www.kdnuggets.com/2019/06/data-fabric-machine-learning-deep-learning-graphs.html

• Books on Graph-Powered Machine Learning, Graph Databases, Deep Learning for Search – 50% off

  These 3 books will help you make the most from graph-powered databases. For a limited time, get 50% off any of them with the code kdngraph.

  https://www.kdnuggets.com/2019/05/manning-books-graph-machine-learning-databases.html

• Which Deep Learning Framework is Growing Fastest?

  In September 2018, I compared all the major deep learning frameworks in terms of demand, usage, and popularity. TensorFlow was the champion of deep learning frameworks and PyTorch was the youngest framework. How has the landscape changed?

  https://www.kdnuggets.com/2019/05/which-deep-learning-framework-growing-fastest.html

• Meet the World’s Leading AI & Deep Learning Experts

  RE-WORK returns to San Francisco Jun 20-21 with the Deep Reinforcement Learning Summit, the Applied AI Summit and the AI for Good Summit. KDnuggets subscribers get 20% off Early Bird discounted passes when you register before May 3 with code KDNUGGETS.

  https://www.kdnuggets.com/2019/04/rework-meet-worlds-leading-ai-deep-learning-experts.html

• Approach pre-trained deep learning models with caution

  Pre-trained models are easy to use, but are you glossing over details that could impact your model performance?

  https://www.kdnuggets.com/2019/04/approach-pre-trained-deep-learning-models-caution.html

• Earn a Deep Learning Certificate

  Now is your chance to break into AI, even if you don’t have a PhD. If you want a job in AI and Deep Learning, Andrew Ng’s Specialization will help you get there.

  https://www.kdnuggets.com/2019/04/coursera-earn-deep-learning-certificate.html

• Hot Deep Learning Applications at Deep Learning World – Las Vegas, June 16-20

  Deep Learning World 2019, Jun 16-20 in Las Vegas, will cover a good portion of the wide range of deep learning application areas. Regular prices available until Apr 26. Register now!

  https://www.kdnuggets.com/2019/04/paw-hot-deep-learning-applications-las-vegas.html

• Top Stories, Mar 25-31: R vs Python for Data Visualization; The Deep Learning Toolset — An Overview

  Also: Pedestrian Detection in Aerial Images Using RetinaNet; How to Choose the Right Chart Type; Explaining Random Forest (with Python Implementation); A Beginner's Guide to Linear Regression in Python with Scikit-Learn; The Four Levels of Analytics Maturity

  https://www.kdnuggets.com/2019/04/top-news-week-0325-0331.html

• The Deep Learning Toolset — An Overview">The Deep Learning Toolset — An Overview

  We are observing an increasing number of great tools that help facilitate the intricate process that is deep learning, making it both more accessible and more efficient.

  https://www.kdnuggets.com/2019/03/deep-learning-toolset-overview.html

• Xing, Heycar & Microsoft on stage at Deep Learning World in Munich

  Deep Learning World Munich is coming May 6-7 in Munich, Germany. You still have the chance to get your early bird pass until Apr 5. Secure your ticket for a lower price and access case studies and deep dives covering the commercial deployment of deep learning!

  https://www.kdnuggets.com/2019/03/paw-xing-heycar-microsoft-stage-deep-learning-world-munich.html

• Deep Learning Summit Boston – Meet RE•WORK’s Newest Speakers

  RE-WORK returns to Boston in May to showcase global experts in Deep Learning. Get up to 50% off passes with code KDNUGGETS if you register before March 22.

  https://www.kdnuggets.com/2019/03/deep-learning-summit-boston.html

• People Tracking using Deep Learning

  Read this overview of people tracking and how deep learning-powered computer vision has allowed for phenomenal performance.

  https://www.kdnuggets.com/2019/03/people-tracking-using-deep-learning.html

• Deep Learning for Natural Language Processing (NLP)  – using RNNs & CNNs

  We investigate several Natural Language Processing tasks and explain how Deep Learning can help, looking at Language Modeling, Sentiment Analysis, Language Translation, and more.

  https://www.kdnuggets.com/2019/02/deep-learning-nlp-rnn-cnn.html

• Deep Learning World Agenda Now Released!

  The agenda for Deep Learning World Europe has just been released. Industry leaders will gather in Munich to foster progress in the value-driven operationalization of established deep learning methods. Register now and take advantage of Early Bird rates!

  https://www.kdnuggets.com/2019/02/paw-deep-learning-world-agenda-now-released.html

• Trending Deep Learning Github Repositories

  Check these pair of resources for trending and top GitHub deep learning repositories for some new ideas on what to be looking out for.

  https://www.kdnuggets.com/2019/02/trending-top-deep-learning-github-repositories.html

• [Webinar] Simple Steps to Distributed Deep Learning

  In this webinar, Feb 12, find out how distributed deep learning works, get an an overview of the different frameworks, and learn how Databricks is making it easy for data scientists to migrate their single-machine workloads to distributed workloads, at all stages of a deep learning project.

  https://www.kdnuggets.com/2019/01/databricks-webinar-simple-steps-distributed-deep-learning.html

• Top Stories, Jan 7-13: The Five Best Data Visualization Libraries; Modern Deep Learning Techniques Applied to NLP

  Also: Top 10 Books on NLP and Text Analysis; Practical Apache Spark in 10 Minutes; The cold start problem: how to build your machine learning portfolio; Core Principles of Sustainable Data Science, Machine Learning and AI Product Development; 4 Myths of Big Data and 4 Ways to Improve with Deep Data

  https://www.kdnuggets.com/2019/01/top-news-week-0107-0113.html

• Biggest Deep Learning Summit – Special KDnuggets Offer

  At RE•WORK, the team are dedicating 2019 to keep up the high-quality events and to bring you the latest innovations & breakthroughs in AI. RE•WORK are offering a huge saving on all summit passes when you register with the discount code NEWYEAR.

  https://www.kdnuggets.com/2019/01/rework-biggest-deep-learning-summit-kdnuggets-offer.html

• NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing">NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing

  Trying to keep up with advancements at the overlap of neural networks and natural language processing can be troublesome. That's where the today's spotlighted resource comes in.

  https://www.kdnuggets.com/2019/01/nlp-overview-modern-deep-learning-techniques.html

• Top KDnuggets tweets, Dec 19 – Jan 1: Deep Learning Cheat Sheets

  Also: Machine Learning Cheat Sheets; Papers with Code: A Fantastic GitHub Resource for Machine Learning; Neural network AI is simple. So… Stop pretending you are a genius; Top Python Libraries in 2018 in Data Science, Deep Learning and Machine Learning

  https://www.kdnuggets.com/2019/01/top-tweets-dec19-jan01.html

• World’s Biggest Deep Learning Summit 3 weeks away

  RE•WORK will be running a New Year's discount next week, but are offering exclusive early access to KDnuggets subscribers - save 25% when you register with the code NEWYEAR before January 11th.

  https://www.kdnuggets.com/2018/12/rework-worlds-biggest-deep-learning-summit-san-francisco.html

• Deep learning in Satellite imagery

  This article outlines possible sources of satellite imagery, what its properties are and how this data can be utilised using R.

  https://www.kdnuggets.com/2018/12/deep-learning-satellite-imagery.html

• Top KDnuggets tweets, Dec 12-18: Deep Learning Cheat Sheets; The Nate Silver vs. Nassim Taleb Twitter War

  Also: Should you become a data scientist?; Learning Machine Learning vs Learning Data Science; Math for Machine Learning; Automated Web Scraping in R

  https://www.kdnuggets.com/2018/12/top-tweets-dec12-dec18.html

• Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning">Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning

  Here are the top 15 Python libraries across Data Science, Data Visualization. Deep Learning, and Machine Learning.

  https://www.kdnuggets.com/2018/12/top-python-libraries-2018.html

• How to do Deep Learning with SAS

  Build a deep learning model using SAS. This paper offers a how-to guide so that you can get up and running.

  https://www.kdnuggets.com/2018/12/sas-deep-learning.html

• State of Deep Learning and Major Advances: H2 2018 Review

  In this post we summarise some of the key developments in deep learning in the second half of 2018, before briefly discussing the road ahead for the deep learning community.

  https://www.kdnuggets.com/2018/12/deep-learning-major-advances-review.html

• Top KDnuggets tweets, Nov 28 – Dec 4: Deep Learning Cheat Sheets; Amazon opens its internal #machinelearning courses to all for free

  Also: 7 Things You Need To Stop Doing To Be More Productive; #scikit-learn is used by 48% of @Kaggle champions, #Tensorflow by 16%, Keras by 14%; Linking Data Science Activities to Business Initiatives Using the Hypothesis Development Canvas

  https://www.kdnuggets.com/2018/12/top-tweets-nov28-dec04.html

• KDnuggets™ News 18:n46, Dec 5: AI, Data Science, Analytics 2018 Main Developments, 2019 Key Trends; Deep Learning Cheat Sheets

  Also: Best Machine Learning languages, Data Visualization Tools, DL Frameworks, and Big Data Tools; How to Build a Machine Learning Team When You Are Not Google or Facebook; A Complete Guide to Choosing the Best Machine Learning Course; Handling Imbalanced Datasets in Deep Learning

  https://www.kdnuggets.com/2018/n46.html

• Handling Imbalanced Datasets in Deep Learning

  It’s important to understand why we should do it so that we can be sure it’s a valuable investment. Class balancing techniques are only really necessary when we actually care about the minority classes.

  https://www.kdnuggets.com/2018/12/handling-imbalanced-datasets-deep-learning.html

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

  Coming soon: DataX New York, AI-2018 Cambridge UK, AI NEXTCon Seattle, Deep Learning Summit San Francisco, EGC France, H2O San Francisco, Business Of Bots Business of Bots San Francisco, TDWI Las Vegas, WSDM Melbourne, and more.

  https://www.kdnuggets.com/2018/12/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• Top Stories, Nov 26 – Dec 2: Deep Learning Cheat Sheets; A Complete Guide to Choosing the Best Machine Learning Course

  Also: A Complete Guide to Choosing the Best Machine Learning Course; My secret sauce to be in top 2% of a Kaggle competition; Deep Learning for the Masses ( and The Semantic Layer); What is the Best Python IDE for Data Science?; 9 Must-have skills you need to become a Data Scientist, updated

  https://www.kdnuggets.com/2018/12/top-news-week-1126-1202.html

• Deep Learning for the Masses (… and The Semantic Layer)

  Deep learning is everywhere right now, in your watch, in your television, your phone, and in someway the platform you are using to read this article. Here I’ll talk about how can you start changing your business using Deep Learning in a very simple way. But first, you need to know about the Semantic Layer.

  https://www.kdnuggets.com/2018/11/deep-learning-masses-semantic-layer.html

• Deep Learning Cheat Sheets">Deep Learning Cheat Sheets

  Check out this collection of high-quality deep learning cheat sheets, filled with valuable, concise information on a variety of neural network-related topics.

  https://www.kdnuggets.com/2018/11/deep-learning-cheat-sheets.html

• Join the World’s Biggest Deep Learning Summit – KDnuggets Early Cyber Monday

  RE•WORK are offering an exclusive early discount to KDnuggets subscribers for any of their upcoming AI and Deep Learning Summits when you register before November 30th with the code CYBER25.

  https://www.kdnuggets.com/2018/11/rework-biggest-deep-learning-summit-cyber-monday.html

• Best Deals in Deep Learning Cloud Providers: From CPU to GPU to TPU

  A detailed comparison of the best places to train your deep learning model for the lowest cost and hassle, including AWS, Google, Paperspace, vast.ai, and more.

  https://www.kdnuggets.com/2018/11/deep-learning-cloud-providers-cpu-gpu-tpu.html

• Deep Learning Performance Cheat Sheet

  We outline a variety of simple and complex tricks that can help you boost your deep learning models accuracy, from basic optimization, to open source labeling software.

  https://www.kdnuggets.com/2018/11/deep-learning-performance-cheat-sheet.html

• Introduction to PyTorch for Deep Learning

  In this tutorial, you’ll get an introduction to deep learning using the PyTorch framework, and by its conclusion, you’ll be comfortable applying it to your deep learning models.

  https://www.kdnuggets.com/2018/11/introduction-pytorch-deep-learning.html

• Mastering the Learning Rate to Speed Up Deep Learning

  Figuring out the optimal set of hyperparameters can be one of the most time consuming portions of creating a machine learning model, and that’s particularly true in deep learning.

  https://www.kdnuggets.com/2018/11/mastering-learning-rate-speed-up-deep-learning.html

• Top 13 Python Deep Learning Libraries">Top 13 Python Deep Learning Libraries

  Part 2 of a new series investigating the top Python Libraries across Machine Learning, AI, Deep Learning and Data Science.

  https://www.kdnuggets.com/2018/11/top-python-deep-learning-libraries.html

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

  Coming soon: PASS Summit Seattle, TDWI Orlando, IEEE Conf on Data Mining Singapore, AI & Big Data Innovation Summit 2018 Beijing, Deep Learning World Berlin, PAW Business Berlin, Big Data LDN London, NIPS, and many more.

  https://www.kdnuggets.com/2018/11/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• KDnuggets™ News 18:n41, Oct 31: Introduction to Deep Learning with Keras; Easy Named Entity Recognition with Scikit-Learn

  Also: Generative Adversarial Networks - Paper Reading Road Map; How I Learned to Stop Worrying and Love Uncertainty; Implementing Automated Machine Learning Systems with Open Source Tools; Notes on Feature Preprocessing: The What, the Why, and the How

  https://www.kdnuggets.com/2018/n41.html

• Introduction to Deep Learning with Keras

  In this article, we’ll build a simple neural network using Keras. Now let’s proceed to solve a real business problem: an insurance company wants you to develop a model to help them predict which claims look fraudulent.

  https://www.kdnuggets.com/2018/10/introduction-deep-learning-keras.html

• A Deep Look at Deep Learning: Understanding The Basics of How (and Why) it Works

  In this illustrated guide by Dataiku you'll learn what exactly deep learning is and why its growing and why it can be more powerful than classical machine learning (ML).

  https://www.kdnuggets.com/2018/10/dataiku-deep-look-deep-learning-understanding-basics.html

• Google, Microsoft & Fraunhofer at the First European Edition of Deep Learning World – 12 Nov, 2018

  You can attend the premier conference covering the commercial deployment of Deep Learning, Nov 12, Berlin, and learn from top industry experts, from our first class conference programme, and from reputable companies to become the best in what you're doing!

  https://www.kdnuggets.com/2018/10/paw-first-european-edition-deep-learning-world.html

• Preprocessing for Deep Learning: From covariance matrix to image whitening

  The goal of this post/notebook is to go from the basics of data preprocessing to modern techniques used in deep learning. My point is that we can use code (Python/Numpy etc.) to better understand abstract mathematical notions!

  https://www.kdnuggets.com/2018/10/preprocessing-deep-learning-covariance-matrix-image-whitening.html

• Top KDnuggets tweets, Sep 26 – Oct 2: Why building your own Deep Learning Computer is 10x cheaper than AWS; 6 Steps To Write Any Machine Learning Algorithm

  Also: New Book: Math for #MachineLearning; How to visualize decision tree; Causation in a Nutshell; Machine Learning Cheat Sheets; Brief History of Machine Learning Models Explainability

  https://www.kdnuggets.com/2018/10/top-tweets-sep26-oct02.html

• Top 3 Trends in Deep Learning

  We investigate the intermediate stage of deep learning, and the trends that are emerging in response to the challenges at this stage, including Interoperability and the multi-deployment options.

  https://www.kdnuggets.com/2018/10/mathworks-top-3-trends-deep-learning.html

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

  Coming soon: INFORMS Chicago, Deep Learning Summit Toronto, ODSC West SF, Accelerate AI SF, Big Data Week London, AI Conference London, PAW Business London, Crunch Budapest, and more.

  https://www.kdnuggets.com/2018/10/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• Recent Advances for a Better Understanding of Deep Learning">Recent Advances for a Better Understanding of Deep Learning

  A summary of the newest deep learning trends, including Non Convex Optimization, Overparametrization and Generalization, Generative Models, Stochastic Gradient Descent (SGD) and more.

  https://www.kdnuggets.com/2018/10/recent-advances-deep-learning.html

• Join us in Toronto for the Deep Learning Summit, Save with KDnuggets

  RE•WORK's world-famous Deep Learning Summit is taking place in Toronto this October with the addition of a new AI for Government track. Don't forget to use code KDNUGGETS at the checkout for 20% off your pass. See you there!

  https://www.kdnuggets.com/2018/09/rework-toronto-deep-learning-summit-save-with-kdnuggets.html

• Introduction to Deep Learning

  I decided to begin to put some structure in my understanding of Neural Networks through this series of articles.

  https://www.kdnuggets.com/2018/09/introduction-deep-learning.html

• ODSC India Highlights: Deep Learning Revolution in Speech, AI Engineer vs Data Scientist, and Reinforcement Learning for Enterprise

  Key takeaways and highlights from ODSC India 2018 conference about the latest trends, breakthroughs and revolutions in the field of Data Science and Artificial Intelligence

  https://www.kdnuggets.com/2018/09/odsc-india-highlights.html

• Power Laws in Deep Learning 2: Universality

  It is amazing that Deep Neural Networks display this Universality in their weight matrices, and this suggests some deeper reason for Why Deep Learning Works.

  https://www.kdnuggets.com/2018/09/power-laws-deep-learning-2-universality.html

• KDnuggets™ News 18:n36, Sep 26: Machine Learning Algorithms From Scratch; Deep Learning Framework Popularity; Data Capture, the Deep Learning Way

  Also: SQL Case Study: Helping a Startup CEO Manage His Data; Building a Machine Learning Model through Trial and Error; The Whys and Hows of Web Scraping; Unfolding Naive Bayes From Scratch; "Auto-What?" -  A Taxonomy of Automated Machine Learning

  https://www.kdnuggets.com/2018/n36.html

• Deep Learning: The Impact of NVIDIA DGX Station

  Read this IDC report & see how a deep learning workstation may solve IT problems of many researchers, developers, and creative professionals.

  https://www.kdnuggets.com/2018/09/nvidia-deep-learning-dgx.html

• Deep Learning Framework Power Scores 2018

  Who’s on top in usage, interest, and popularity?

  https://www.kdnuggets.com/2018/09/deep-learning-framework-power-scores-2018.html

• Data Capture – the Deep Learning Way

  An overview of how an information extraction pipeline built from scratch on top of deep learning inspired by computer vision can shakeup the established field of OCR and data capture.

  https://www.kdnuggets.com/2018/09/data-capture-deep-learning-way.html

• A Deep (But Jargon Free) Dive Into Deep Learning

  Learn what exactly deep learning is, how it works, and about its growing and innovative applications in healthcare, finance, retail, and more with this illustrated guide.

  https://www.kdnuggets.com/2018/09/dataiku-intro-deep-learning.html

• Power Laws in Deep Learning

  In pretrained, production quality DNNs,  the weight matrices for the Fully Connected (FC ) layers display Fat Tailed Power Law behavior.

  https://www.kdnuggets.com/2018/09/power-laws-deep-learning.html

• Deep Learning on the Edge

  Detailed analysis into utilizing deep learning on the edge, covering both advantages and disadvantages and comparing this against more traditional cloud computing methods.

  https://www.kdnuggets.com/2018/09/deep-learning-edge.html

• Join Microsoft, Google and Bilfinger at Deep Learning World – Berlin, 12 November

  Deep Learning World is coming to Berlin, Germany, Nov 12. Early bird rates until Sep 28. Register now!

  https://www.kdnuggets.com/2018/09/paw-microsoft-google-bilfinger-deep-learning-world-berlin.html

• See NVIDIA Deep Learning In Action [Webinar Series]

  Hear how three companies benefitted from the performance, simplicity and convenience of NVIDIA DGX Station to supercharge their deep learning development, infusing their products and services with the power of AI.

  https://www.kdnuggets.com/2018/09/nvidia-deep-learning-webinar-series.html

• Neural Networks and Deep Learning: A Textbook">Neural Networks and Deep Learning: A Textbook

  This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning.

  https://www.kdnuggets.com/2018/09/aggarwal-neural-networks-textbook.html

• Deep Learning for NLP: An Overview of Recent Trends">Deep Learning for NLP: An Overview of Recent Trends

  A new paper discusses some of the recent trends in deep learning based natural language processing (NLP) systems and applications. The focus is on the review and comparison of models and methods that have achieved state-of-the-art (SOTA) results on various NLP tasks and some of the current best practices for applying deep learning in NLP.

  https://www.kdnuggets.com/2018/09/deep-learning-nlp-overview-recent-trends.html

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

  Coming soon: AI San Francisco, Big Data Innovation Boston, Strata NYC, INFORMS Seattle, SAS Analytics Experience San Diego, PAW Gov DC, Cypher Bangalore, ECML/PKDD Dublin, ODSC London, and many more.

  https://www.kdnuggets.com/2018/09/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• KDnuggets™ News 18:n32, Aug 29: Data Visualization Cheat Sheet; Auto-Keras, or Deep Learning Model in 4 Lines of Code

  KDnuggets News took a break last week, so this issue is doubly full of Data Science goodness. Check Data Visualization Cheat Sheet, see how to do Deep Learning in just 4 lines, learn about Emotion and Sentiment analysis, check 16 other interesting tutorials, and may be you know someone who can fill any of 16 jobs below.

  https://www.kdnuggets.com/2018/n32.html

• Top Stories, Aug 13-19: Data Scientist guide for getting started with Docker; Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code

  Also: Unveiling Mathematics Behind XGBoost; Project Hydrogen, new initiative based on Apache Spark to support AI and Data Science.

  https://www.kdnuggets.com/2018/08/top-news-week-0813-0819.html

• Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code">Auto-Keras, or How You can Create a Deep Learning Model in 4 Lines of Code

  Auto-Keras is an open source software library for automated machine learning. Auto-Keras provides functions to automatically search for architecture and hyperparameters of deep learning models.

  https://www.kdnuggets.com/2018/08/auto-keras-create-deep-learning-model-4-lines-code.html

• ebook: Using Deep Learning to Solve Real-World Problems

  Read this eBook to learn: How deep learning enables image classification, sentiment analysis, and other advanced analysis techniques and get a a starter workflow for building and training deep learning models.

  https://www.kdnuggets.com/2018/08/databricks-deep-learning-real-world.html

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

  Coming soon: TDWI Anaheim, JupyterCon NYC, VLDB Rio, ODSC India, KDD 2018 London, AI Conference San Francisco, Big Data Innovation Boston, Strata Data NYC, and many more.

  https://www.kdnuggets.com/2018/08/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• Deep Learning Summit returns to Toronto – learn from Geoff Hinton

  Learn from Geoff Hinton and others at Deep Learning Summit and AI for Government Summit, Oct 25-26 in Toronto. Save 20% with code KDNUGGETS.

  https://www.kdnuggets.com/2018/07/rework-deep-learning-summit-toronto-hinton.html

• KDnuggets™ News 18:n28, Jul 25: Best (and Free) Resources to Understand Deep Learning; Why Germany did not beat Brazil in the final – Data Science lessons from the World Cup

  Also 5 Quick and Easy Data Visualizations in Python with Code; Happy 25th Birthday, KDnuggets!

  https://www.kdnuggets.com/2018/n28.html

• Best (and Free!!) Resources to Understand Nuts and Bolts of Deep Learning

  This blog is however not addressing the absolute beginner. Once you have a bit of intuition about how Deep Learning algorithms work, you might want to understand how things work below the hood.

  https://www.kdnuggets.com/2018/07/best-free-resources-understand-nuts-bolts-deep-learning.html

• fast.ai Deep Learning Part 2 Complete Course Notes

  This posts is a collection of a set of fantastic notes on the fast.ai deep learning part 2 MOOC freely available online, as written and shared by a student. These notes are a valuable learning resource either as a supplement to the courseware or on their own.

  https://www.kdnuggets.com/2018/07/fast-ai-deep-learning-part-2-notes.html

• fast.ai Deep Learning Part 1 Complete Course Notes

  This posts is a collection of a set of fantastic notes on the fast.ai deep learning part 1 MOOC freely available online, as written and shared by a student. These notes are a valuable learning resource either as a supplement to the courseware or on their own.

  https://www.kdnuggets.com/2018/07/fast-ai-deep-learning-part-1-notes.html

• Deep Learning and Challenges of Scale Webinar

  Join Nvidia for an on-demand webinar to learn how to tackle the challenges of scaling and building complex deep learning systems.

  https://www.kdnuggets.com/2018/07/nvidia-deep-learning-challenges-scale-webinar.html

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

  Coming soon: ICDM/MLDM New York, Data Innovation Summits Las Vegas, ICML Stockholm, IJCAI/ECAI Stockholm, TDWI Anaheim, KDD-2018 London, JupyterCon NYC, and many more.

  https://www.kdnuggets.com/2018/07/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• Deep Learning Tips and Tricks

  This post is a distilled collection of conversations, messages, and debates on how to optimize deep models. If you have tricks you’ve found impactful, please share them in the comments below!

  https://www.kdnuggets.com/2018/07/deep-learning-tips-tricks.html

• Overview and benchmark of traditional and deep learning models in text classification

  In this post, traditional and deep learning models in text classification will be thoroughly investigated, including a discussion into both Recurrent and Convolutional neural networks.

  https://www.kdnuggets.com/2018/07/overview-benchmark-deep-learning-models-text-classification.html

• Top Stories, Jun 25 – Jul 1: 5 Data Science Projects That Will Get You Hired in 2018; 30 Free Resources for Machine Learning, Deep Learning, NLP & AI

  Also: Top 20 Python Libraries for Data Science in 2018; Why Data Scientists Love Gaussian; How to Execute R and Python in SQL Server with Machine Learning Services; Explaining Reinforcement Learning: Active vs Passive; What's the Difference Between Data Integration and Data Engineering?

  https://www.kdnuggets.com/2018/07/top-news-week-0625-0701.html

• 30 Free Resources for Machine Learning, Deep Learning, NLP & AI">30 Free Resources for Machine Learning, Deep Learning, NLP & AI

  Check out this collection of 30 ML, DL, NLP & AI resources for beginners, starting from zero and slowly progressing to the point that readers should have an idea of where to go next.

  https://www.kdnuggets.com/2018/06/30-free-resources-machine-learning-deep-learning-nlp-ai.html

• Deep Learning Best Practices –  Weight Initialization

  In this blog I am going to talk about the issues related to initialization of weight matrices and ways to mitigate them. Before that, let’s just cover some basics and notations that we will be using going forward.

  https://www.kdnuggets.com/2018/06/deep-learning-best-practices-weight-initialization.html

• How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning

  An end-to-end example of how to build a system that can search objects semantically.

  https://www.kdnuggets.com/2018/06/natural-language-semantic-search-arbitrary-objects-deep-learning.html

• KDnuggets™ News 18:n23, Jun 13: Did Python declare victory over R?; Master the Netflix Interview; Deep Learning Projects DIY Style

  Also: Command Line Tricks For Data Scientists; How (dis)similar are my train and test data?; 5 Machine Learning Projects You Should Not Overlook, June 2018; Introduction to Game Theory; Human Interpretable Machine Learning

  https://www.kdnuggets.com/2018/n23.html

• DIY Deep Learning Projects">DIY Deep Learning Projects

  Inspired by the great work of Akshay Bahadur in this article you will see some projects applying Computer Vision and Deep Learning, with implementations and details so you can reproduce them on your computer.

  https://www.kdnuggets.com/2018/06/diy-deep-learning-projects.html

• Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: June 2018 and Beyond

  Coming soon: Mega-PAW Las Vegas, Spark + AI Summit SF, CogX London, Big Data Toronto Big Data Toronto Conference and Expo, ICDM/MLDM NYC, and many more.

  https://www.kdnuggets.com/2018/06/upcoming-meetings-ai-analytics-big-data-science-machine-learning.html

• Interview: How Seagate Technology Makes Great Use of Deep Learning – Last Call to Register for Deep Learning World

  In anticipation of his upcoming conference co-presentation at Deep Learning World in Las Vegas, June 3-7, we asked Abbas Chokor, Staff Data Scientist at Seagate Technology, a few questions about his work in deep learning.

  https://www.kdnuggets.com/2018/05/paw-interview-seagate-technology-deep-learning.html

• Deep Learning Summit, Toronto featuring Geoff Hinton – save with KDnuggets

  Geoffrey Hinton, one of the fathers of Deep Learning, will be back to share his most recent and cutting-edge research progressions, and will be joined by other top researchers. Save 20% on Early Bird passes when you sign up before 15 June w. code KDNUGGETS. Also check Women in AI dinner series and get new white paper on Ethical implications of AI.

  https://www.kdnuggets.com/2018/05/deep-learning-summit-toronto-geoff-hinton.html

• Descriptive analytics, machine learning, and deep learning viewed via the lens of CRISP-DM

  CRISP-DM methodology is a must teach to explain analytics project steps. This article purpose it to complement it with specific chart flow that explain as simply as possible how it is more likely used in descriptive analytics, classic machine learning or deep learning.

  https://www.kdnuggets.com/2018/05/descriptive-analytics-machine-learning-deep-learning-crisp-dm.html