Search results for deep learning

Found 2838 documents, 6021 searched:

• The Gentlest Introduction to Tensorflow – Part 2

  Check out the second and final part of this introductory tutorial to TensorFlow.

  https://www.kdnuggets.com/2016/08/gentlest-introduction-tensorflow-part-2.html

• Cartoon: Make Data Great Again">Cartoon: Make Data Great Again

  This KDnuggets cartoon considers a speech that a certain presidential candidate can give on a topic of Big Data.

  https://www.kdnuggets.com/2016/08/cartoon-make-data-great-again.html

• A Beginner’s Guide to Neural Networks with R!

  In this article we will learn how Neural Networks work and how to implement them with the R programming language! We will see how we can easily create Neural Networks with R and even visualize them. Basic understanding of R is necessary to understand this article.

  https://www.kdnuggets.com/2016/08/begineers-guide-neural-networks-r.html

• 7 Steps to Understanding Computer Vision

  A starting point for Computer Vision and how to get going deeper. Dive into this post for some overview of the right resources and a little bit of advice.

  https://www.kdnuggets.com/2016/08/seven-steps-understanding-computer-vision.html

• Brain Monitoring with Kafka, OpenTSDB, and Grafana

  Interested in using open source software to monitor brain activity, and control your devices? Sure you are! Read this fantastic post for some insight and direction.

  https://www.kdnuggets.com/2016/08/brain-monitoring-kafka-opentsb-grafana.html

• Contest Winner: Winning the AutoML Challenge with Auto-sklearn

  This post is the first place prize recipient in the recent KDnuggets blog contest. Auto-sklearn is an open-source Python tool that automatically determines effective machine learning pipelines for classification and regression datasets. It is built around the successful scikit-learn library and won the recent AutoML challenge.

  https://www.kdnuggets.com/2016/08/winning-automl-challenge-auto-sklearn.html

• The Core of Data Science

  This post provides a simplifying framework, an ontology for Machine Learning and some important developments in dynamical machine learning. From first hand Data Science product experience, the author suggests how best to execute Data Science projects.

  https://www.kdnuggets.com/2016/08/core-data-science.html

• Yann LeCun Quora Session Overview

  Here is a quick oversight, with excerpts, of the Yann LeCun Quora Session which took place on Thursday July 28, 2016.

  https://www.kdnuggets.com/2016/08/yann-lecun-quora-session.html

• 7 Steps to Understanding NoSQL Databases

  Are you a newcomer to NoSQL, interested in gaining a real understanding of the technologies and architectures it includes? This post is for you.

  https://www.kdnuggets.com/2016/07/seven-steps-understanding-nosql-databases.html

• MNIST Generative Adversarial Model in Keras

  This post discusses and demonstrates the implementation of a generative adversarial network in Keras, using the MNIST dataset.

  https://www.kdnuggets.com/2016/07/mnist-generative-adversarial-model-keras.html

• The Hard Problems AI Can’t (Yet) Touch

  It's tempting to consider the progress of AI as though it were a single monolithic entity, advancing towards human intelligence on all fronts. But today's machine learning only addresses problems with simple, easily quantified objectives

  https://www.kdnuggets.com/2016/07/hard-problems-ai-cant-yet-touch.html

• Support Vector Machines: A Simple Explanation

  A no-nonsense, 30,000 foot overview of Support Vector Machines, concisely explained with some great diagrams.

  https://www.kdnuggets.com/2016/07/support-vector-machines-simple-explanation.html

• Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists

  Here is an interview with Florian Douetteau, founder of Dataiku, on how their tools empower data scientists, and how data science itself is evolving.

  https://www.kdnuggets.com/2016/07/interview-florian-douetteau-dataiku-empowering-data-scientists.html

• Data Mining History: The Invention of Support Vector Machines

  The story starts in Paris in 1989, when I benchmarked neural networks against kernel methods, but the real invention of SVMs happened when Bernhard decided to implement Vladimir Vapnik algorithm.

  https://www.kdnuggets.com/2016/07/guyon-data-mining-history-svm-support-vector-machines.html

• What is Softmax Regression and How is it Related to Logistic Regression?

  An informative exploration of softmax regression and its relationship with logistic regression, and situations in which each would be applicable.

  https://www.kdnuggets.com/2016/07/softmax-regression-related-logistic-regression.html

• Recursive (not Recurrent!) Neural Networks in TensorFlow

  Learn how to implement recursive neural networks in TensorFlow, which can be used to learn tree-like structures, or directed acyclic graphs.

  https://www.kdnuggets.com/2016/06/recursive-neural-networks-tensorflow.html

• The Big Data Ecosystem is Too Damn Big">The Big Data Ecosystem is Too Damn Big

  The Big Data ecosystem is just too damn big! It's complex, redundant, and confusing. There are too many layers in the technology stack, too many standards, and too many engines. Vendors? Too many. What is the user to do?

  https://www.kdnuggets.com/2016/06/big-data-ecosystem-too-damn-big.html

• Gregory Piatetsky-Shapiro

  Gregory Piatetsky-Shapiro, Ph.D. is the Founder of KDnuggets, a leading site for Analytics, Big Data, Data Science, Data Mining, and Machine Learning. Gregory was a Read more »

  https://www.kdnuggets.com/gps.html

• Regularization in Logistic Regression: Better Fit and Better Generalization?

  A discussion on regularization in logistic regression, and how its usage plays into better model fit and generalization.

  https://www.kdnuggets.com/2016/06/regularization-logistic-regression.html

• Ten Simple Rules for Effective Statistical Practice: An Overview

  An overview of 10 simple rules to follow to ensure proper effective statistical data analysis.

  https://www.kdnuggets.com/2016/06/ten-simple-rules-effective-statistical-practice-overview.html

• History of Data Mining

  Data mining is a subfield of computer science which blends many techniques from statistics, data science, database theory and machine learning. Here are the major milestones and “firsts” in the history of data mining plus how it’s evolved and blended with data science and big data.

  https://www.kdnuggets.com/2016/06/rayli-history-data-mining.html

• A Visual Explanation of the Back Propagation Algorithm for Neural Networks

  A concise explanation of backpropagation for neural networks is presented in elementary terms, along with explanatory visualization.

  https://www.kdnuggets.com/2016/06/visual-explanation-backpropagation-algorithm-neural-networks.html

• 7 Steps to Mastering SQL for Data Science

  Follow these 7 steps to go from SQL data science newbie to seasoned practitioner quickly. No nonsense, just the necessities.

  https://www.kdnuggets.com/2016/06/seven-steps-mastering-sql-data-science.html

• 10 Data Acquisition Strategies for Startups

  An interesting discussion of the myriad methods in which startups may choose to acquire data, often the most overlooked and important aspect of a startup's success (or failure).

  https://www.kdnuggets.com/2016/06/10-data-acquisition-strategies-startups.html

• How to Select Support Vector Machine Kernels

  Support Vector Machine kernel selection can be tricky, and is dataset dependent. Here is some advice on how to proceed in the kernel selection process.

  https://www.kdnuggets.com/2016/06/select-support-vector-machine-kernels.html

• Data Science of Variable Selection: A Review

  There are as many approaches to selecting features as there are statisticians since every statistician and their sibling has a POV or a paper on the subject. This is an overview of some of these approaches.

  https://www.kdnuggets.com/2016/06/data-science-variable-selection-review.html

• Top 10 Open Dataset Resources on Github

  The top open dataset repositories on Github include a variety of data, freely available for use by researchers, practitioners, and students alike.

  https://www.kdnuggets.com/2016/05/top-10-datasets-github.html

• Predicting Popularity of Online Content

  A look at predicting what makes online content popular, with a particular focus on images, especially selfies.

  https://www.kdnuggets.com/2016/05/predicting-popularity-online-content.html

• Free eBook: Healthcare Social Media Analytics and Marketing

  Get your free copy of a new ebook outlining social media marketing and analytics strategies (including code) for healthcare professionals.

  https://www.kdnuggets.com/2016/05/healthcare-social-media-analytics-marketing-ebook.html

• A Concise Overview of Standard Model-fitting Methods

  A very concise overview of 4 standard model-fitting methods, focusing on their differences: closed-form equations, gradient descent, stochastic gradient descent, and mini-batch learning.

  https://www.kdnuggets.com/2016/05/concise-overview-model-fitting-methods.html

• Let Me Hear Your Voice and I’ll Tell You How You Feel

  This post provides an overview of a voice tone analyzer implemented as part of a cohesive emotion detection system, directly from the researcher and architect.

  https://www.kdnuggets.com/2016/05/voice-tone-analysis-emotion-detection.html

• 10 Must Have Data Science Skills, Updated

  An updated look at the state of the data science landscape, and the skills - both technical and non-technical - that are absolutely required to make it as a data scientist.

  https://www.kdnuggets.com/2016/05/10-must-have-skills-data-scientist.html

• Top Posts

    Current Top Posts   Top Posts By Year Top Posts of 2023 5 Free Books to Master Data Science • 5 Free Courses to Read more »

  https://www.kdnuggets.com/news/top-stories.html

• The Amazing Power of Word Vectors

  A fantastic overview of several now-classic papers on word2vec, the work of Mikolov et al. at Google on efficient vector representations of words, and what you can do with them.

  https://www.kdnuggets.com/2016/05/amazing-power-word-vectors.html

• Practical skills that practical data scientists need

  The long story short, data scientist needs to be capable of solving business analytics problems. Learn more about the skill-set you need to master to achieve so.

  https://www.kdnuggets.com/2016/05/practical-skills-practical-data-scientists-need.html

• Troubleshooting Neural Networks: What is Wrong When My Error Increases?

  An overview of some of the things that could lead to an increased error rate in neural network implementations.

  https://www.kdnuggets.com/2016/05/troubleshooting-neural-network-error-increase.html

• Implementing Neural Networks in Javascript

  Javascript is one of the most prevalent and fastest growing languages in existence today. Get a quick introduction to implementing neural networks in the language, and direction on where to go from here.

  https://www.kdnuggets.com/2016/05/implementing-neural-networks-javascript.html

• A Data Science Approach to Writing a Good GitHub README

  Readme is the first file every user will look for, whenever they are checking out the code repository. Learn, what you should write inside your readme files and analyze your existing files effectiveness.

  https://www.kdnuggets.com/2016/05/algorithmia-data-science-approach-good-github-readme.html

• Cartoon: When Automation Goes Too Far

  KDnuggets Cartoon looks into the future of Automated Data Science and Marketing - when will automation go too far?

  https://www.kdnuggets.com/2016/04/cartoon-when-automation-goes-too-far.html

• Microsoft is Becoming M(ai)crosoft

  This post is an overview and discussion of Microsoft's increasing investment in, and approach to, artificial intelligence, and how their philosophy differs from their competitors.

  https://www.kdnuggets.com/2016/04/microsoft-becoming-m-ai-crosoft.html

• Recommender Systems: New Comprehensive Textbook by Charu Aggarwal

  Covers recommender systems comprehensively, both fundamentals and advanced topics, organized into: Algorithms and evaluation, recommendations in specific domains and contexts, and advanced topics and applications.

  https://www.kdnuggets.com/2016/04/recommender-systems-textbook.html

• Regression & Correlation for Military Promotion: A Tutorial

  A clear and well-written tutorial covering the concepts of regression and correlation, focusing on military commander promotion as a use case.

  https://www.kdnuggets.com/2016/04/regression-correlation-military-tutorial.html

• Basics of GPU Computing for Data Scientists

  With the rise of neural network in data science, the demand for computationally extensive machines lead to GPUs. Learn how you can get started with GPUs & algorithms which could leverage them.

  https://www.kdnuggets.com/2016/04/basics-gpu-computing-data-scientists.html

• Cartoon: Citizen Data Scientist At Work

  KDnuggets Cartoon examines Citizen Data Scientist at work and his previous career as a citizen dentist and a citizen pilot.

  https://www.kdnuggets.com/2016/03/cartoon-citizen-data-scientist.html

• XGBoost: Implementing the Winningest Kaggle Algorithm in Spark and Flink

  An overview of XGBoost4J, a JVM-based implementation of XGBoost, one of the most successful recent machine learning algorithms in Kaggle competitions, with distributed support for Spark and Flink.

  https://www.kdnuggets.com/2016/03/xgboost-implementing-winningest-kaggle-algorithm-spark-flink.html

• Top 10 Data Science Resources on Github

  The top 10 data science projects on Github are chiefly composed of a number of tutorials and educational resources for learning and doing data science. Have a look at the resources others are using and learning from.

  https://www.kdnuggets.com/2016/03/top-10-data-science-github.html

• The Evolution of the Data Scientist

  We trace the evolution of Data Science from ancient mathematics to statistics and early neural networks, to present successes like AlphaGo and self-driving car, and look into the future.

  https://www.kdnuggets.com/2016/03/evolution-data-scientist.html

• The Data Science Puzzle, Explained

  The puzzle of data science is examined through the relationship between several key concepts in the data science realm. As we will see, far from being concrete concepts etched in stone, divergent opinions are inevitable; this is but another opinion to consider.

  https://www.kdnuggets.com/2016/03/data-science-puzzle-explained.html

• The Data Science Process, Rediscovered

  The Data Science Process is a relatively new framework for doing data science. It is compared to previous similar frameworks, and a discussion on process innovation versus repetition is then undertaken.

  https://www.kdnuggets.com/2016/03/data-science-process-rediscovered.html

• Top February stories: 21 Must-Know Data Science Interview Q&A; Gartner 2016 MQ for Advanced Analytics: gainers and losers

  21 Must-Know Data Science Interview Questions and Answers; Top 10 TED Talks for the Data Scientists; Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers.

  https://www.kdnuggets.com/2016/03/top-news-2016-feb.html

• Distributed TensorFlow Has Arrived

  Google has open sourced its distributed version of TensorFlow. Get the info on it here, and catch up on some other TensorFlow news at the same time.

  https://www.kdnuggets.com/2016/03/distributed-tensorflow-arrived.html

• Data Science and Disability

  Data Science and Artificial Intelligence has come to the forefront of technology in the last few years. Learn, how practitioners are taking a more philanthropic outlook on life, supporting people suffering with both physical and mental disabilities.

  https://www.kdnuggets.com/2016/03/data-science-disability.html

• Top 10 Data Visualization Projects on Github

  Github provides a number of open source data visualization options for data scientists and application developers integrating quality visuals. This is a list and description of the top project offerings available, based on the number of stars.

  https://www.kdnuggets.com/2016/02/top-10-data-visualization-github.html

• How Data Science is Fighting Disease

  Many organisations are starting to use Data Science as a method of tracking, diagnosing and curing some of the world’s most widespread diseases. We look at 3 common diseases, and how Data Science is used to save lives.

  https://www.kdnuggets.com/2016/02/how-data-science-fighting-disease.html

• Data Scientist Valentine’s Day Collection

  We review Data Scientist Valentine's Day options with several topical cartoons, including Scarledoopython, Neural net predictions, and dating algorithm adjustments.

  https://www.kdnuggets.com/2016/02/cartoon-data-scientist-valentines-day-collection.html

• 21 Must-Know Data Science Interview Questions and Answers">21 Must-Know Data Science Interview Questions and Answers

  KDnuggets Editors bring you the answers to 20 Questions to Detect Fake Data Scientists, including what is regularization, Data Scientists we admire, model validation, and more.

  https://www.kdnuggets.com/2016/02/21-data-science-interview-questions-answers.html

• Auto-Scaling scikit-learn with Spark

  Databricks gives us an overview of the spark-sklearn library, which automatically and seamlessly distributes model tuning on a Spark cluster, without impacting workflow.

  https://www.kdnuggets.com/2016/02/auto-scaling-scikit-learn-spark.html

• Implementing Your Own k-Nearest Neighbor Algorithm Using Python

  A detailed explanation of one of the most used machine learning algorithms, k-Nearest Neighbors, and its implementation from scratch in Python. Enhance your algorithmic understanding with this hands-on coding exercise.

  https://www.kdnuggets.com/2016/01/implementing-your-own-knn-using-python.html

• Anthony Goldbloom gives you the Secret to winning Kaggle competitions

  Kaggle CEO shares insights on best approaches to win Kaggle competitions, along with a brief explanation of how Kaggle competitions work.

  https://www.kdnuggets.com/2016/01/anthony-goldbloom-secret-winning-kaggle-competitions.html

• Research Leaders on Data Mining, Data Science and Big Data key advances, top trends

  Research Leaders in Data Science and Big Data reflect on the most important research advances in 2015 and the key trends expected to dominate throughout 2016.

  https://www.kdnuggets.com/2016/01/research-leaders-data-science-big-data-top-trends.html

• Data Science Humor: Google Analytics, if Applied in Real Life

  From the lighter side: how Google Analytics would look if applied in real life situations.

  https://www.kdnuggets.com/2016/01/data-science-humor-google-analytics-real-life.html

• Top New Features in Orange 3 Data Mining Platform

  The main technical advantage of Orange 3 is its integration with NumPy and SciPy libraries. Other improvements include reading online data, working through queries for SQL and pre-processing.

  https://www.kdnuggets.com/2015/12/top-7-new-features-orange-3.html

• How do Neural Networks Learn?

  Neural networks are generating a lot of excitement, while simultaneously posing challenges to people trying to understand how they work. Visualize how neural nets work from the experience of implementing a real world project.

  https://www.kdnuggets.com/2015/12/how-do-neural-networks-learn.html

• Amazon Top 20 Books in Neural Networks

  These are the most popular neural networks books on Amazon. Perhaps there is something of interest to you here.

  https://www.kdnuggets.com/2015/11/amazon-top-20-books-neural-networks.html

• Understanding Convolutional Neural Networks for NLP

  Dive into the world of Convolution Neural Networks (CNN), learn how they work, how to apply them for NLP, and how to tune CNN hyperparameters for best performance.

  https://www.kdnuggets.com/2015/11/understanding-convolutional-neural-networks-nlp.html

• Topological Data Analysis – Open Source Implementations

  Topological Data Analysis (TDA) is making waves in the analytics community lately, but are there open source options available?

  https://www.kdnuggets.com/2015/11/topological-data-analysis-open-source-implementations.html

• Cartoon: It all started with the iPhone answering my email

  New KDnuggets cartoon reacts to recent news that Gmail will use Machine Learning to offer answers to your emails. Here is where it can lead ...

  https://www.kdnuggets.com/2015/11/cartoon-machine-learning-iphone-hr-manager.html

• Recurrent Neural Networks Tutorial, Introduction

  Recurrent Neural Networks (RNNs) are popular models that have shown great promise in NLP and many other Machine Learning tasks. Here is a much-needed guide to key RNN models and a few brilliant research papers.

  https://www.kdnuggets.com/2015/10/recurrent-neural-networks-tutorial.html

• Top 10 Quora Data Science Writers and Their Best Advice

  Top Quora data science writers give their advice on pursuing a career in the field, approaching interviews, and selecting appropriate technologies.

  https://www.kdnuggets.com/2015/09/top-data-science-writers-quora.html

• Data Science Data Architecture

  Data scientists are kind of a rare breed, who juggles between data science, business and IT. But, they do understand less IT than an IT person and understands less business than a business person. Which demands a specific workflow and data architecture.

  https://www.kdnuggets.com/2015/09/data-science-data-architecture.html

• Spark SQL for Real-Time Analytics

  Apache Spark is the hottest topic in Big Data. This tutorial discusses why Spark SQL is becoming the preferred method for Real Time Analytics and for next frontier, IoT (Internet of Things).

  https://www.kdnuggets.com/2015/09/spark-sql-real-time-analytics.html

• Cartoon: Big Data and the dog question

  It used to be that nobody on the internet knew that I was a dog ... New KDnuggets cartoon examines the dog question in the era of Big Data.

  https://www.kdnuggets.com/2015/08/cartoon-big-data-internet-dog-question.html

• Top stories for Jun 28 – Jul 4: Top 20 R packages by popularity; Nine Laws of Data Mining

  Top 20 R packages by popularity; Top 20 R Machine Learning and Data Science packages; Nine Laws of Data Mining; The missing D in Data Science.

  https://www.kdnuggets.com/2015/07/top-news-week-jun-28.html

• Cognitive Computing: Solving the Big Data Problem?

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

  https://www.kdnuggets.com/2015/06/cognitive-computing-solving-big-data-problem.html

• KDnuggets™ News 15:n17, May 27: R wins Annual Poll; Top 10 Algorithms; Interview with Spark Creator

  R leads RapidMiner, Python catches up - Annual Software Poll; Top 10 Data Mining Algorithms; Exclusive Interview: Matei Zaharia, creator of Apache Spark; 5 Not-to-be-Missed Ideas about Big Data.

  https://www.kdnuggets.com/2015/n17.html

• R leads RapidMiner, Python catches up, Big Data tools grow, Spark ignites

  R is the most popular overall tool among data miners, although Python usage is growing faster. RapidMiner continues to be most popular suite for data mining/data science. Hadoop/Big Data tools usage grew to 29%, propelled by 3x growth in Spark. Other tools with strong growth include H2O (0xdata), Actian, MLlib, and Alteryx.

  https://www.kdnuggets.com/2015/05/poll-r-rapidminer-python-big-data-spark.html

• The Myth of Model Interpretability

  Deep networks are widely regarded as black boxes. But are they truly uninterpretable in any way that logistic regression is not?

  https://www.kdnuggets.com/2015/04/model-interpretability-neural-networks-deep-learning.html

• Algorithmia Tested: Human vs Automated Tag Generation

  Algorithmia, the marketplace for algorithms, can be a platform for hosting APIs to do a plethora of text analytics and information retrieval tasks. Automatic post tagging is done in this case study to demonstrate the effectiveness and ease-of-use of the platform.

  https://www.kdnuggets.com/2015/04/algorithmia-tested-automated-tag-generation.html

• Data Science 101: Preventing Overfitting in Neural Networks

  Overfitting is a major problem for Predictive Analytics and especially for Neural Networks. Here is an overview of key methods to avoid overfitting, including regularization (L2 and L1), Max norm constraints and Dropout.

  https://www.kdnuggets.com/2015/04/preventing-overfitting-neural-networks.html

• More Free Data Mining, Data Science Books and Resources

  More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics and statistics.

  https://www.kdnuggets.com/2015/03/free-data-mining-data-science-books-resources.html

• Do We Need More Training Data or More Complex Models?

  Do we need more training data? Which models will suffer from performance saturation as data grows large? Do we need larger models or more complicated models, and what is the difference?

  https://www.kdnuggets.com/2015/03/more-training-data-or-complex-models.html

• Google BigQuery Public Datasets

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

  https://www.kdnuggets.com/2015/02/google-bigquery-public-datasets.html

• Automatic Statistician and the Profoundly Desired Automation for Data Science

  The Automatic Statistician project by Univ. of Cambridge and MIT is pushing ahead the frontiers of automation for the selection and evaluation of machine learning models. In general, what does automation mean to Data Science?

  https://www.kdnuggets.com/2015/02/automated-statistician-data-science.html

• Tinderbox: Automating Romance with Tinder and Eigenfaces

  Tinderbox is a software uses machine learning and image recognition to automate Tinder, a popular app for single meetings. The author describes his experience and feedback until it started to work too well.

  https://www.kdnuggets.com/2015/02/tinderbox-automating-romance-tinder-eigenfaces.html

• Data Science’s Most Used, Confused, and Abused Jargon

  As data science has spread through the mainstream, so too has a dense vocabulary of ill-defined jargon. In a split-personality post, we offer several perspectives on many of data science's most confused terms.

  https://www.kdnuggets.com/2015/02/data-science-confusing-jargon-abused.html

• Research Leaders on Data Mining, Data Science, and Big Data key trends, top papers

  We asked global research leaders in Data Science and Big Data what are the most interesting research papers/advances of 2014 and what are the key trends they see in 2015. Here are their answers.

  https://www.kdnuggets.com/2015/01/research-leaders-data-science-big-data-key-trends-top-papers.html

• KDnuggets™ News 14:n34, Dec 17

  Features | Software | Opinions | Interviews | Reports | News | Webcasts | Jobs | Academic | Tweets | CFP | Quote Features New Read more »

  https://www.kdnuggets.com/2014/n34.html

• KDnuggets™ News 14:n33, Dec 10

  Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Tweets | CFP | Quote Read more »

  https://www.kdnuggets.com/2014/n33.html

• KDnuggets™ News 14:n32, Dec 3

  Features | Software | Opinions | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP | Quote Read more »

  https://www.kdnuggets.com/2014/n32.html

• KDnuggets™ News 14:n30, Nov 19

  Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n30.html

• KDnuggets™ News 14:n29, Nov 5

  Features | Software | Opinions | News | Webcasts | Courses | Meetings | Jobs | Publications | Tweets | CFP | Quote Features Big Read more »

  https://www.kdnuggets.com/2014/n29.html

• KDnuggets™ News 14:n28, Oct 29

  Features | Software | Opinions | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP Read more »

  https://www.kdnuggets.com/2014/n28.html

• KDnuggets™ News 14:n27, Oct 22

  Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n27.html

• KDnuggets™ News 14:n26, Oct 8

  Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP Read more »

  https://www.kdnuggets.com/2014/n26.html

• Automotive Customer Churn Prediction Results, part 2

  Learn how to apply neural networks and self-organizing maps to visualize the macroscopic relationships between clients and the maintenance evolution of cars over the years.

  https://www.kdnuggets.com/2014/09/automotive-customer-churn-prediction-results-part-2.html

• KDnuggets™ News 14:n25, Sep 24

  Features | Software | News | Opinions | Webcasts | Courses | Jobs | Academic | Publications | Tweets | CFP | Quote Features Data Read more »

  https://www.kdnuggets.com/2014/n25.html

• KDnuggets™ News 14:n24, Sep 18

  Features | Software | News | Opinions | Interviews | Reports | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n24.html

• Dataiku Data Science Studio

  Data Science Studio (DSS) from Dataiku is a complete Data Science software tool for developers and analysts, which significantly shortens the time-consuming load-clean-train-test-deploy cycles of building predictive applications. A community edition and a free trial available.

  https://www.kdnuggets.com/2014/08/dataiku-data-science-studio.html

• KDnuggets™ News 14:n23, Sep 3

  Features | Software | News | Opinions | Interviews | Reports | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n23.html

• KDnuggets™ News 14:n22, Aug 20

  Features | News | Opinions | Interviews | Webcasts | Courses | Meetings | Jobs | Publications | Tweets | Quote Features Four main languages Read more »

  https://www.kdnuggets.com/2014/n22.html

• BAT: China’s Three Big Data Leaders

  We examine the “three big mountains” in Chinese Internet and Big Data industry: Baidu, Alibaba, and Tencent (together called BAT), and look into their different strategy and focus.

  https://www.kdnuggets.com/2014/08/bat-china-three-big-data-leaders.html

• KDnuggets™ News 14:n18, Jul 16

  Features (6) | Software (2) | Opinions (7) | News (4) | Webcasts (3) | Courses (1) | Meetings (4) | Jobs (9) | Tweets Read more »

  https://www.kdnuggets.com/2014/n18.html

• Do you need a Masters Degree to become a Data Scientist?

  Leading analytics experts answer the question: "Do you need a Masters Degree to become a Data Scientist?" Read practical tips and interesting commentary.

  https://www.kdnuggets.com/2014/06/masters-degree-become-data-scientist.html

• KDnuggets™ News 14:n17, Jul 2

  Features (4) | Software (2) | Opinions (7) | News (6) | Webcasts (1) | Courses (1) | Meetings and Reports (2) | Jobs (4) Read more »

  https://www.kdnuggets.com/2014/n17.html

• KDnuggets™ News 14:n16, Jun 25

  Features (5) | Software (1) | Opinions (2) | News (2) | Webcasts (1) | Courses (1) | Meetings and Reports (6) | Jobs (7) Read more »

  https://www.kdnuggets.com/2014/n16.html

• NYU Data Science Program – Things to Know

  Inside summary of NYU Data Science program launched last year, what it is, and what makes it special.

  https://www.kdnuggets.com/2014/06/nyu-data-science-program-overview.html

• The Algorithm that Runs the World Can Now Run More of It

  The most important algorithm, used for optimizing almost everything, is linear programming. New advances allow linear programming problems to be solved faster using the new commercial parallel simplex solver.

  https://www.kdnuggets.com/2014/06/fico-algorithm-that-runs-world.html

• KDnuggets™ News 14:n15, Jun 18

  Features (6) | Software (3) | Opinions (6) | News (2) | Webcasts (1) | Courses (1) | Jobs (7) | Academic (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n15.html

• OpenNN, An Open Source Library For Neural Networks

  OpenNN is an open source class library written in C++ which implements neural networks, and runs on Windows, Apple, or Linux.

  https://www.kdnuggets.com/2014/06/opennn-open-source-library-neural-networks.html

• KDnuggets™ News 14:n14, Jun 10

  Features (8) | Software (3) | Opinions (14) | News (6) | Webcasts (3) | Courses (1) | Meetings and Reports (9) | Jobs (6) Read more »

  https://www.kdnuggets.com/2014/n14.html

• KDnuggets™ News 14:n13, May 28

  Features (5) | Software (3) | Opinions (5) | News (1) | Webcasts (1) | Courses (1) | Meetings and Reports (3) | Jobs (5) Read more »

  https://www.kdnuggets.com/2014/n13.html

• KDnuggets™ News 14:n12, May 21

  Features (11) | Software (4) | Opinions (9) | News (7) | Webcasts (1) | Courses (3) | Meetings and Reports (10) | Jobs (14) Read more »

  https://www.kdnuggets.com/2014/n12.html

• KDnuggets™ News 14:n11, May 7

  Features (7) | Opinions (5) | Software (1) | News (3) | Webcasts (4) | Meetings (2) | Jobs (6) | Publications (1) | Tweets Read more »

  https://www.kdnuggets.com/2014/n11.html

• KDnuggets™ News 14:n10, Apr 30

  Features (9) | Opinions (5) | Software (3) | News (6) | Webcasts (1) | Courses (3) | Meetings (4) | Jobs (10) | Academic Read more »

  https://www.kdnuggets.com/2014/n10.html

• KDnuggets™ News 14:n09, Apr 16

  Features (6) | Opinions (4) | Software (2) | News (6) | Webcasts (2) | Courses (4) | Meetings (3) | Jobs (9) | Academic Read more »

  https://www.kdnuggets.com/2014/n09.html

• KDnuggets™ News 14:n07, Mar 26

  Features (3) | Opinions (3) | Software (2) | News (3) | Webcasts (2) | Courses (1) | Meetings (3) | Jobs (5) | Academic Read more »

  https://www.kdnuggets.com/2014/n07.html

• KDnuggets™ News 14:n06, Mar 19

  Features (11) | News (3) | Software (6) | Webcasts (3) | Courses (5) | Competitions (3) | Meetings (6) | Jobs (3) | Academic Read more »

  https://www.kdnuggets.com/2014/n06.html

• KDnuggets Exclusive: Part 2 of the Interview with Yann LeCun

  We discuss how far AI is likely to go, how Data Science to Statistics is like Computer Science was to Math, Big Data hype and reality, and advice to beginning Data Scientists.

  https://www.kdnuggets.com/2014/02/exclusive-yann-lecun-deep-learning-facebook-ai-lab-part2.html

• KDnuggets™ News 14:n05, Mar 5

  Features (10) | News (6) | Software (5) | Webcasts (1) | Courses (6) | Meetings (5) | Jobs (7) | Academic (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n05.html

• KDnuggets™ News 14:n04, Feb 19

  Features (7) | News (10) | Software (2) | Webcasts (2) | Courses (2) | Meetings (2) | Jobs (10) | Academic (4) | Publications Read more »

  https://www.kdnuggets.com/2014/n04.html

• KDnuggets™ News 14:n03, Feb 5

  Features (9) | Software (4) | Webcasts (2) | Courses, Events (9) | Meetings (3) | Jobs (9) | Academic (3) | Competitions (1) | Publications (7) | Tweets (7) | NewsBriefs (3) | CFP (14) | Quote Features Top Trends in Analytics and Big Data ahead of Strata 2014 Read more »

  https://www.kdnuggets.com/2014/n03.html

• KDnuggets™ News 14:n02, Jan 22

  Features (10) | Software (3) | Webcasts (2) | Courses, Events (5) | Meetings (3) | Jobs (11) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n02.html

• 2014 Jan Publications: Analytics, Big Data, Data Mining and Data Science

  All (69) | News, Software (19) | Courses, Events (20) | Publications (15) Top KDnuggets tweets, Jan 17-19: Learning from Data: Caltech free online course; Read more »

  https://www.kdnuggets.com/2014/01/publications-old.html

• 2014: Analytics, Data Mining, and Data Science News

  Latest News | Top Stories News for Dec | Nov | Oct | Sep | Aug | Jul | Jun | May | Apr | Read more »

  https://www.kdnuggets.com/2014/index.html

• 2014 Jan: Analytics, Big Data, Data Mining and Data Science News

  All (84) | News, Software (26) | Courses, Events (30) | Publications (15) | Top Tweets (13)   AltaPlana 2014 Text Analytics Market Study - Read more »

  https://www.kdnuggets.com/2014/01/index-old.html

• 2013 Dec Publications: Analytics, Big Data, Data Mining and Data Science

  All (95) | News, Software (27) | Courses, Events (12) | Jobs | Academic | Publications (38) Unicorn Data Scientists vs Data Science Teams - Read more »

  https://www.kdnuggets.com/2013/12/publications.html

• 2013 Dec: Analytics, Big Data, Data Mining and Data Science News

  All (95) | News, Software (27) | Courses, Events (12) | Jobs | Academic | Publications (38) Unicorn Data Scientists vs Data Science Teams - Read more »

  https://www.kdnuggets.com/2013/12/index.html

• Cartoons

  With such extensive experience in predictive analysis, You should have known we wouldn't hire you KDnuggets Cartoons: The Funny Side Of Big Data Cloud Dating Read more »

  https://www.kdnuggets.com/websites/cartoons.html

• KDnuggets™ News 13:n31, Dec 19

  Features (8) | Software (3) | Webcasts (2) | Courses, Events (1) | Meetings (1) | Jobs (8) | Academic (1) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n31.html

• 3 Stages of Big Data

  The confusion around Big Data is partly the result of different aspects of Big Data which have very different meaning and produce very different results. We propose a 3 stage classification.

  https://www.kdnuggets.com/2013/12/3-stages-big-data.html