Search results for public cloud

Found 433 documents, 5970 searched:

• How Data Science Is Used Within the Film Industry">How Data Science Is Used Within the Film Industry

  As Data Science is becoming pervasive across so many industries, Hollywood is certainly not being left behind. Learn about how Big Data, analytics, and AI are now core drivers of the movies we watch and how we watch them.

  https://www.kdnuggets.com/2019/07/data-science-film-industry.html

• The Data Fabric for Machine Learning – Part 2: Building a Knowledge-Graph

  Before being able to develop a Data Fabric we need to build a Knowledge-Graph. In this article I’ll set up the basis on how to create it, in the next article we’ll go to the practice on how to do this.

  https://www.kdnuggets.com/2019/06/data-fabric-machine-learning-building-knowledge-graph.html

• Spark NLP: Getting Started With The World’s Most Widely Used NLP Library In The Enterprise"> Spark NLP: Getting Started With The World’s Most Widely Used NLP Library In The Enterprise

  The Spark NLP library has become a popular AI framework that delivers speed and scalability to your projects. Check out what's under the hood and learn about how to getting started leveraging Spark NLP from John Snow Labs.

  https://www.kdnuggets.com/2019/06/spark-nlp-getting-started-with-worlds-most-widely-used-nlp-library-enterprise.html

• The Infinity Stones of Data Science">The Infinity Stones of Data Science

  Do you love data science 3000? Don't want to be embarrassed in front of the other analytics wizards? Aspire to be one of Earth's mightiest heroes, like Kevin Bacon? Help make data science a snap with these simple insights.

  https://www.kdnuggets.com/2019/06/infinity-stones-data-science.html

• The Whole Data Science World in Your Hands

  Testing MatrixDS capabilities on different languages and tools: Python, R and Julia. If you work with data you have to check this out.

  https://www.kdnuggets.com/2019/06/whole-data-science-world.html

• Becoming a Level 3.0 Data Scientist

  Want to be a Junior, Senior, or Principal Data Scientists? Find out what you need to do to navigate the Data Science Career Game.

  https://www.kdnuggets.com/2019/05/becoming-a-level-3-data-scientist.html

• Analyzing Tweets with NLP in Minutes with Spark, Optimus and Twint

  Social media has been gold for studying the way people communicate and behave, in this article I’ll show you the easiest way of analyzing tweets without the Twitter API and scalable for Big Data.

  https://www.kdnuggets.com/2019/05/analyzing-tweets-nlp-spark-optimus-twint.html

• 60+ useful graph visualization libraries">60+ useful graph visualization libraries

  We outline 60+ graph visualization libraries that allow users to build applications to display and interact with network representations of data.

  https://www.kdnuggets.com/2019/05/60-useful-graph-visualization-libraries.html

• Customer Churn Prediction Using Machine Learning: Main Approaches and Models

  We reach out to experts from HubSpot and ScienceSoft to discuss how SaaS companies handle the problem of customer churn prediction using Machine Learning.

  https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

• “Please, explain.” Interpretability of machine learning models

  Unveiling secrets of black box models is no longer a novelty but a new business requirement and we explain why using several different use cases.

  https://www.kdnuggets.com/2019/05/interpretability-machine-learning-models.html

• Best US/Canada Masters in Analytics, Business Analytics, Data Science

  In the final part of this series, we provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across the US and Canada.

  https://www.kdnuggets.com/2019/05/best-masters-data-science-analytics-us-canada.html

• How to Automate Tasks on GitHub With Machine Learning for Fun and Profit

  Check this tutorial on how to build a GitHub App that predicts and applies issue labels using Tensorflow and public datasets.

  https://www.kdnuggets.com/2019/05/automate-tasks-github-machine-learning-fun-profit.html

• Graduating in GANs: Going From Understanding Generative Adversarial Networks to Running Your Own

  Read how generative adversarial networks (GANs) research and evaluation has developed then implement your own GAN to generate handwritten digits.

  https://www.kdnuggets.com/2019/04/graduating-gans-understanding-generative-adversarial-networks.html

• 2019 Best Masters in Data Science and Analytics – Online

  We provide an updated comprehensive and objective survey of online Masters in Analytics and Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-online.html

• Data Science with Optimus Part 1: Intro

  With Optimus you can clean your data, prepare it, analyze it, create profilers and plots, and perform machine learning and deep learning, all in a distributed fashion, because on the back-end we have Spark, TensorFlow, Sparkling Water and Keras. It’s super easy to use.

  https://www.kdnuggets.com/2019/04/data-science-with-optimus-part-1-intro.html

• Deep Compression: Optimization Techniques for Inference & Efficiency

  We explain deep compression for improved inference efficiency, mobile applications, and regularization as technology cozies up to the physical limits of Moore's law.

  https://www.kdnuggets.com/2019/03/deep-compression-optimization-techniques-inference-efficiency.html

• AI: Arms Race 2.0

  An analysis of the current state of the competition between US, Europe, and China in AI, examining research, patent publications, global datasphere, devices and IoT, people, and more.

  https://www.kdnuggets.com/2019/03/ai-arms-race-20.html

• 19 Inspiring Women in AI, Big Data, Data Science, Machine Learning">19 Inspiring Women in AI, Big Data, Data Science, Machine Learning

  For the 2019 international women's day, we profile a new set of 19 inspiring women who lead the field in AI, Big Data, Data Science, and Machine Learning fields.

  https://www.kdnuggets.com/2019/03/women-ai-big-data-science-machine-learning.html

• 3 Reasons Why AutoML Won’t Replace Data Scientists Yet

  We dispel the myth that AutoML is replacing Data Scientists jobs by highlighting three factors in Data Science development that AutoML can’t solve.

  https://www.kdnuggets.com/2019/03/why-automl-wont-replace-data-scientists.html

• OpenAI’s GPT-2: the model, the hype, and the controversy

  OpenAI recently released a very large language model called GPT-2. Controversially, they decided not to release the data or the parameters of their biggest model, citing concerns about potential abuse. Read this researcher's take on the issue.

  https://www.kdnuggets.com/2019/03/openai-gpt-2-model-hype-controversy.html

• TensorFlow.js: Machine learning for the web and beyond

  TensorFlow.js brings TensorFlow and Keras to the the JavaScript ecosystem, supporting both Node.js and browser-based applications. Read a summary of the paper which describes the design, API, and implementation of TensorFlow.js.

  https://www.kdnuggets.com/2019/02/tensorflow-js-machine-learning-web-beyond.html

• Top 10 Technology Trends of 2019">Top 10 Technology Trends of 2019

  This article outlines 10 top trending technologies for 2019, a list which covers diverse topics such as security, IoT, reinforcement learning, energy sustainability, smart cities, and much more.

  https://www.kdnuggets.com/2019/02/top-10-technology-trends-2019.html

• Past 2019 Meetings / Conferences on AI, Analytics, Big Data, Data Science, and Machine Learning

  Past | 2019 Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Read more »

  https://www.kdnuggets.com/meetings/past-meetings-2019.html

• 2018’s Top 7 R Packages for Data Science and AI

  This is a list of the best packages that changed our lives this year, compiled from my weekly digests.

  https://www.kdnuggets.com/2019/01/vazquez-2018-top-7-r-packages.html

• Practical Apache Spark in 10 Minutes

  Check out this series of articles on Apache Spark. Each part is a 10 minute tutorial on a particular Apache Spark topic. Read on to get up to speed using Spark.

  https://www.kdnuggets.com/2019/01/practical-apache-spark-10-minutes.html

• 4 Myths of Big Data and 4 Ways to Improve with Deep Data

  There is a fundamental misconception that bigger data produces better machine learning results. However bigger data lakes / warehouses won’t necessarily help to discover more profound insights. It is better to focus on data quality, value and diversity not just size. "Deep Data" is better than Big Data.

  https://www.kdnuggets.com/2019/01/4-myths-big-data-deep-data.html

• 3 More Google Colab Environment Management Tips

  This is a short collection of lessons learned using Colab as my main coding learning environment for the past few months. Some tricks are Colab specific, others as general Jupyter tips, and still more are filesystem related, but all have proven useful for me.

  https://www.kdnuggets.com/2019/01/more-google-colab-environment-management-tips.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

• KDnuggets Site Map

  About KDnuggets Awards and Honors for KDnuggets Companies, offering Bioinformatics products and solutions Data Science and Analytics products Consulting and Training Data Warehousing and OLAP Read more »

  https://www.kdnuggets.com/about/site-map.html

• Machine Learning & AI Main Developments in 2018 and Key Trends for 2019">Machine Learning & AI Main Developments in 2018 and Key Trends for 2019

  As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Machine Learning and AI experts as to the most important developments of 2018 and their 2019 key trend predictions.

  https://www.kdnuggets.com/2018/12/predictions-machine-learning-ai-2019.html

• Learning Machine Learning vs Learning Data Science">Learning Machine Learning vs Learning Data Science

  We clarify some important and often-overlooked distinctions between Machine Learning and Data Science, covering education, scalable vs non-scalable jobs, career paths, and more.

  https://www.kdnuggets.com/2018/12/learning-machine-learning-data-science.html

• AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019">AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019

  Review of 2018 and Predictions for 2019 from our panel of experts, including Meta Brown, Tom Davenport, Carla Gentry, Bob E Hayes, Cassie Kozyrkov, Doug Laney, Bill Schmarzo, Kate Strachnyi, Ronald van Loon, Favio Vazquez, and Jen Underwood.

  https://www.kdnuggets.com/2018/12/predictions-data-science-analytics-2019.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

• Latest Trends in Computer Vision Technology and Applications

  We investigate the advancements in deep learning, the rise of edge computing, object recognition with point cloud, VR and AR enhanced merged reality, semantic instance segmentation and more.

  https://www.kdnuggets.com/2018/11/trends-computer-vision-technology-applications.html

• Text Preprocessing in Python: Steps, Tools, and Examples

  We outline the basic steps of text preprocessing, which are needed for transferring text from human language to machine-readable format for further processing. We will also discuss text preprocessing tools.

  https://www.kdnuggets.com/2018/11/text-preprocessing-python.html

• Multi-Class Text Classification Model Comparison and Selection

  This is what we are going to do today: use everything that we have presented about text classification in the previous articles (and more) and comparing between the text classification models we trained in order to choose the most accurate one for our problem.

  https://www.kdnuggets.com/2018/11/multi-class-text-classification-model-comparison-selection.html

• Graphs Are The Next Frontier In Data Science">Graphs Are The Next Frontier In Data Science

  GraphConnect 2018, Neo4j’s bi-annual conference, was held in New York City in mid-September. Read about what happened, and why graphs are the next big thing in data science.

  https://www.kdnuggets.com/2018/10/graphs-next-frontier-data-science.html

• How To Learn Data Science If You’re Broke">How To Learn Data Science If You’re Broke

  A first-hand account on how to learn data science on a budget, with advice covering useful resources, a recommended curriculum, typical concepts, building a portfolio and more.

  https://www.kdnuggets.com/2018/10/learn-data-science-broke.html

• Raspberry Pi IoT Projects for Fun and Profit

  In this post, I will explain how to run an IoT project from the command line, without graphical interface, using Ubuntu Core in a Raspberry Pi 3.

  https://www.kdnuggets.com/2018/09/raspberry-pi-iot-projects-fun-profit.html

• Affordable online news archives for academic research

  Many researchers need access to multi-year historical repositories of online news articles. We identified three companies that make such access affordable, and spoke with their CEOs.

  https://www.kdnuggets.com/2018/08/affordable-online-news-archives.html

• WTF is TF-IDF?

  Relevant words are not necessarily the most frequent words since stopwords like “the”, “of” or “a” tend to occur very often in many documents.

  https://www.kdnuggets.com/2018/08/wtf-tf-idf.html

• The Future of Map-Making is Open and Powered by Sensors and AI

  This article investigates the future of map-making and the role of Sensors, Artificial Intelligence and Machine Learning within that.

  https://www.kdnuggets.com/2018/07/future-map-making-open-sensors-ai.html

• Why the Data Lake Matters

  This post outlines why the data lake matters, outlining the complexity of a data lake and taking a look at its evolution over time.

  https://www.kdnuggets.com/2018/06/why-data-lake-matters.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

• How to Organize Data Labeling for Machine Learning: Approaches and Tools

  The main challenge for a data science team is to decide who will be responsible for labeling, estimate how much time it will take, and what tools are better to use.

  https://www.kdnuggets.com/2018/05/data-labeling-machine-learning.html

• Data Engineer vs Data Scientist: the evolution of aggressive species

  This article looks at how the two "species" - data scientists and data engineers - harmonise and coexist.

  https://www.kdnuggets.com/2018/05/dsti-data-engineer-vs-data-scientist.html

• Detecting Breast Cancer with Deep Learning

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

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

• Jupyter Notebook for Beginners: A Tutorial

  The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. Although it is possible to use many different programming languages within Jupyter Notebooks, this article will focus on Python as it is the most common use case.

  https://www.kdnuggets.com/2018/05/jupyter-notebook-beginners-tutorial.html

• What should be focus areas for Machine Learning / AI in 2018?

  This article looks at what are the recent trends in data science/ML/AI and suggests subareas DS groups need to focus on.

  https://www.kdnuggets.com/2018/04/focus-areas-ml-ai-2018.html

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

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

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

• 5 Things to Know Before Rushing to Start in Data Science

  Strong math understanding, computing skills, critical thinking and presentations skills provide a strong foundation for a career in Data Science.

  https://www.kdnuggets.com/2018/03/5-things-before-rushing-data-science.html

• Blockchains and APIs

  Major technological advances are providing opportunities for new business models, based on blockchain, which will see an increase in the number of connected devices in our day-to-day lives.

  https://www.kdnuggets.com/2018/03/blockchains-apis.html

• The Current Hype Cycle in Artificial Intelligence

  Over the past decade, the field of artificial intelligence (AI) has seen striking developments. As surveyed in, there now exist over twenty domains in which AI programs are performing at least as well as (if not better than) humans.

  https://www.kdnuggets.com/2018/02/current-hype-cycle-artificial-intelligence.html

• A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018">A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018

  In this article, we will compare the most commonly used platforms and analyze their main features to help you choose one or several platforms that will provide indispensable aid for your work communication.

  https://www.kdnuggets.com/2018/02/comparative-analysis-top-6-bi-data-visualization-tools-2018.html

• 3 Essential Google Colaboratory Tips & Tricks">3 Essential Google Colaboratory Tips & Tricks

  Google Colaboratory is a promising machine learning research platform. Here are 3 tips to simplify its usage and facilitate using a GPU, installing libraries, and uploading data files.

  https://www.kdnuggets.com/2018/02/essential-google-colaboratory-tips-tricks.html

• Exclusive Interview: Doug Laney on Big Data and Infonomics

  We discuss 3Vs of Big Data; Infonomics and many aspects of monetizing information including promising analytics methods, successful companies, main challenges; Information marketplaces and why data ownership concept is misguided, and more.

  https://www.kdnuggets.com/2018/01/exclusive-interview-doug-laney-big-data-infonomics.html

• 70 Amazing Free Data Sources You Should Know">70 Amazing Free Data Sources You Should Know

  70 free data sources for 2017 on government, crime, health, financial and economic data, marketing and social media, journalism and media, real estate, company directory and review, and more to start working on your data projects.

  https://www.kdnuggets.com/2017/12/big-data-free-sources.html

• Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018">Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018

  As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Machine Learning and AI experts as to the most important developments of 2017 and their 2018 key trend predictions.

  https://www.kdnuggets.com/2017/12/machine-learning-ai-main-developments-2017-key-trends-2018.html

• Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018">Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

  The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.

  https://www.kdnuggets.com/2017/12/data-science-machine-learning-main-developments-trends.html

• Big Data: Main Developments in 2017 and Key Trends in 2018">Big Data: Main Developments in 2017 and Key Trends in 2018

  As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Big Data experts as to the most important developments of 2017 and their 2018 key trend predictions.

  https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

• Best Masters in Data Science and Analytics in US/Canada

  Second comprehensive list of master's degrees in the US and Canada with tuition information and duration.

  https://www.kdnuggets.com/2017/11/best-masters-data-science-analytics-us-canada.html

• Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey">Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey

  The first comprehensive and objective survey of online Masters in Analytics / Data Science, including rankings, tuition, and duration of the education program.

  https://www.kdnuggets.com/2017/11/best-online-masters-analytics-data-science.html

• 6 Books Every Data Scientist Should Keep Nearby">6 Books Every Data Scientist Should Keep Nearby

  The best way to stay in touch is to continue brushing up on your knowledge while also maintaining experience. It’s the perfect storm or combination of skills to help you succeed in the industry.

  https://www.kdnuggets.com/2017/10/6-books-every-data-scientist-should-keep-nearby.html

• Introducing R-Brain: A New Data Science Platform

  R-Brain is a next generation platform for data science built on top of Jupyterlab with Docker, which supports not only R, but also Python, SQL, has integrated intellisense, debugging, packaging, and publishing capabilities.

  https://www.kdnuggets.com/2017/10/r-brain-new-data-science-platform.html

• Find Out What Celebrities Tweet About the Most

  Word cloud is a popular data visualisation method. Here we show how to use R to create twitter word cloud of celebrities and politicians.

  https://www.kdnuggets.com/2017/10/what-celebrities-tweet-about-most.html

• Meet Lucy: Creating a Chatbot Prototype

  This article walks you through a step by step process and comes with starter code for building your own chatbot. In the end we also provide some pointers for folks looking to take this proof of concept to production stage.

  https://www.kdnuggets.com/2017/09/meet-lucy-chatbot-prototype.html

• Top 10 Machine Learning Use Cases: Part 1">Top 10 Machine Learning Use Cases: Part 1

  This post is the first in a series whose aim is to shake up our intuitions about what machine learning is making possible in specific sectors — to look beyond the set of use cases that always come to mind.

  https://www.kdnuggets.com/2017/08/ibm-top-10-machine-learning-use-cases-part1.html

• Visualizing Convolutional Neural Networks with Open-source Picasso

  Toolkits for standard neural network visualizations exist, along with tools for monitoring the training process, but are often tied to the deep learning framework. Could a general, easy-to-setup tool for generating standard visualizations provide a sanity check on the learning process?

  https://www.kdnuggets.com/2017/08/visualizing-convolutional-neural-networks-open-source-picasso.html

• 6 Reasons Why Python Is Suddenly Super Popular">6 Reasons Why Python Is Suddenly Super Popular

  Python is a general-purpose language — sometimes referred to as utilitarian — which is designed to be simple to read and write. The point that it’s not a complex language is important.
   
   

  https://www.kdnuggets.com/2017/07/6-reasons-python-suddenly-super-popular.html

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

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

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

• How Feature Engineering Can Help You Do Well in a Kaggle Competition – Part 3

  In this last post of the series, I describe how I used more powerful machine learning algorithms for the click prediction problem as well as the ensembling techniques that took me up to the 19th position on the leaderboard (top 2%)

  https://www.kdnuggets.com/2017/07/feature-engineering-help-kaggle-competition-3.html

• K-means Clustering with Tableau – Call Detail Records Example

  We show how to use Tableau 10 clustering feature to create statistically-based segments that provide insights about similarities in different groups and performance of the groups when compared to each other.

  https://www.kdnuggets.com/2017/06/kmeans-clustering-tableau-call-detail-records.html

• The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

  What’s going on now in the field of ‘AI’ resembles a soap bubble. And we all know what happens to soap bubbles eventually if they keep getting blown up by the circus clowns (no pun intended!): they burst.

  https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html

• Data science platforms are on the rise and IBM is leading the way

  Download the 2017 Gartner Magic Quadrant for Data Science Platforms today to learn why IBM is named a leader in data science and to find out why data science, analytics, and machine learning are the engines of the future.

  https://www.kdnuggets.com/2017/05/ibm-data-science-platforms-gartner.html

• A Brief History of Artificial Intelligence">A Brief History of Artificial Intelligence

  This post is a brief outline of what happened in artificial intelligence in the last 60 years. A great place to start or brush up on your history.
   
   

  https://www.kdnuggets.com/2017/04/brief-history-artificial-intelligence.html

• Unsupervised Investments: A Comprehensive Guide to AI Investors

  This article presents a list of 80 funds investing in Artificial Intelligence and Machine Learning.

  https://www.kdnuggets.com/2017/03/unsupervised-investments-guide-ai-investors.html

• The Data Science of NYC Taxi Trips: An Analysis & Visualization

  This post outlines using Google BigQuery for an analysis of NYC Taxi Trips in the cloud, presenting the analysis and visualization in Tableau Public for readers to interact with.

  https://www.kdnuggets.com/2017/02/data-science-nyc-taxi-trips.html

• 6 areas of AI and Machine Learning to watch closely">6 areas of AI and Machine Learning to watch closely

  Artificial Intelligence is a generic term and many fields of science overlaps when comes to make an AI application. Here is an explanation of AI and its 6 major areas to be focused, going forward.

  https://www.kdnuggets.com/2017/01/6-areas-ai-machine-learning.html

• The big data ecosystem for science: X-ray crystallography

  Diffract-and-destroy experiments to accurately determine three-dimensional structures of nano-scale systems can produce 150 TB of data per sample. We review how such Big Data is processed.

  https://www.kdnuggets.com/2017/01/big-data-ecosystem-science-xray-crystallography.html

• Social Media for Marketing and Healthcare: Focus on Adverse Side Effects

  Social media like twitter, facebook are very important sources of big data on the internet and using text mining, valuable insights about a product or service can be found to help marketing teams. Lets see, how healthcare companies are using big data and text mining to improve their marketing strategies.

  https://www.kdnuggets.com/2017/01/social-media-marketing-healthcare-focus-adverse-side-effects.html

• Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning

    To add here a short entry for an academic or research position related to AI, Big Data, Data Science, or Machine Learning, email 5 Read more »

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

• The big data ecosystem for science: Climate Science and Climate Change

  Climate change is one of the most pressing challenges for human society in the 21st century. We review the Big Data ecosystem for studying the climate change.

  https://www.kdnuggets.com/2016/12/big-data-ecosystem-science-climate-change.html

• Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017">Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017

  As 2016 comes to a close and we prepare for a new year, check out the final instalment in our "Main Developments in 2016 and Key Trends in 2017" series, where experts weigh in with their opinions.

  https://www.kdnuggets.com/2016/12/machine-learning-artificial-intelligence-main-developments-2016-key-trends-2017.html

• Artificial Intelligence and Life in 2030

  Read this engaging overview of a report from the Stanford University 100 year study of Artificial Intelligence, “a long-term investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society.”

  https://www.kdnuggets.com/2016/12/artificial-intelligence-life-2030.html

• How to Rank 10% in Your First Kaggle Competition

  This post presents a pathway to achieving success in Kaggle competitions as a beginner. The path generalizes beyond competitions, however. Read on for insight into succeeding while approaching any data science project.

  https://www.kdnuggets.com/2016/11/rank-ten-precent-first-kaggle-competition.html

• EDISON Data Science Framework to define the Data Science Profession

  EDISON Data Science Framework provides conceptual, instructional and policy components required to establish the Data Science profession.

  https://www.kdnuggets.com/2016/10/edison-data-science-framework.html

• Data Science for Internet of Things (IoT): Ten Differences From Traditional Data Science">Data Science for Internet of Things (IoT): Ten Differences From Traditional Data Science

  The connected devices (The Internet of Things) generate more than 2.5 quintillion bytes of data daily. All this data will significantly impact business processes and the Data Science for IoT will take increasingly central role. Here we outline 10 main differences between Data Science for IoT and traditional Data Science.

  https://www.kdnuggets.com/2016/09/data-science-iot-10-differences.html

• A Beginner’s Guide To Understanding Convolutional Neural Networks Part 2

  This is the second part of a thorough introductory treatment of convolutional neural networks. Have a look after reading the first part.

  https://www.kdnuggets.com/2016/09/beginners-guide-understanding-convolutional-neural-networks-part-2.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

• Internet of Things Key Terms, Explained

  This post will define 12 Key Terms for the Internet of Things, in straightforward manner.

  https://www.kdnuggets.com/2016/07/internet-of-things-key-terms-explained.html

• 35 Open Source tools for Internet of Things

  If you have heard about the Internet of Things many times by now, its time to join the conversation. Explore the many open source tools & projects related to Internet of Things.

  https://www.kdnuggets.com/2016/07/open-source-tools-internet-things.html

• Building a Data Science Portfolio: Machine Learning Project Part 1

  Dataquest's founder has put together a fantastic resource on building a data science portfolio. This first of three parts lays the groundwork, with subsequent posts over the following 2 days. Very comprehensive!

  https://www.kdnuggets.com/2016/07/building-data-science-portfolio-machine-learning-project-part-1.html

• How to Start Learning Deep Learning

  Want to get started learning deep learning? Sure you do! Check out this great overview, advice, and list of resources.

  https://www.kdnuggets.com/2016/07/start-learning-deep-learning.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

• 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

• 5 Best Practices for Big Data Security

  Lack of data security can not only result in financial losses, but may also damage the reputation of organizations. Take a look at some of the most important data security best practices that can reduce the risks associated with analyzing a massive amount of data.

  https://www.kdnuggets.com/2016/06/5-best-practices-big-data-security.html

• Where are the Opportunities for Machine Learning Startups?

  Machine learning has permeated data-driven businesses, which means almost all businesses. Here are a few areas where it’s possible that big corporations haven’t already eaten everybody’s lunch.

  https://www.kdnuggets.com/2016/06/opportunites-machine-learning-startups.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

• AI and Machine Learning: Top Influencers and Brands

  Onalytica gives us a new list of the top 100 Artifical Intelligence and Machine Learning influencers and brands, and provides some insight into the relationships between them.

  https://www.kdnuggets.com/2016/03/onalytica-ai-machine-learning-top-influencers-brands.html

• 5 Best Machine Learning APIs for Data Science

  Machine Learning APIs make it easy for developers to develop predictive applications. Here we review 5 important Machine Learning APIs: IBM Watson, Microsoft Azure Machine Learning, Google Prediction API, Amazon Machine Learning API, and BigML.

  https://www.kdnuggets.com/2015/11/machine-learning-apis-data-science.html

• MetaMind Mastermind Richard Socher: Uncut Interview

  In a wide-ranging interview, Richard Socher opens up about MetaMind, deep learning, the nature of corporate research, and the future of machine learning.

  https://www.kdnuggets.com/2015/10/metamind-mastermind-richard-socher-deep-learning-interview.html

• Machine Learning Wars: Amazon vs Google vs BigML vs PredicSis

  Comparing 4 Machine Learning APIs: Amazon Machine Learning, BigML, Google Prediction API and PredicSis on a real data from Kaggle, we find the most accurate, the fastest, the best tradeoff, and a surprise last place.

  https://www.kdnuggets.com/2015/05/machine-learning-wars-amazon-google-bigml-predicsis.html

• Most Viewed Big Data Videos on YouTube

  The top Big Data YouTube videos by those like Hortonworks and Kirk D. Borne cover diverse topics including Hadoop, Big Data Trends, Deep Learning, and Big Data Leadership.

  https://www.kdnuggets.com/2015/05/most-viewed-big-data-videos-youtube.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

• KDnuggets™ News 14:n35, Dec 29

  Features | Software | Opinions | Interviews | News | Courses | Meetings | Jobs | Academic | Tweets | CFP | Quote Features 2015 Read more »

  https://www.kdnuggets.com/2014/n35.html

• IBM Watson Analytics vs. Microsoft Azure Machine Learning (Part 1)

  IBM Watson Analytics prototype seeks to abstract away data science, taking ordinary natural language queries and answering them based on the content of uploaded datasets. Microsoft Azure Machine Learning goes the opposite route, streamlining existing data mining methodology for fast results and integration with MS's other cloud services.

  https://www.kdnuggets.com/2014/12/ibm-watson-analytics-microsoft-azure-machine-learning-p1.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

• Most Popular Slideshare Presentations on Big Data

  Hadoop, the cloud, and Microsoft Azure are just a few of the many topics covered by the top Big Data SlideShare presentations retrieved from the SlideShare API.

  https://www.kdnuggets.com/2014/11/most-popular-slideshare-presentations-big-data.html

• KDnuggets™ News 14:n31, Nov 25

  Features | Opinions | Interviews | Reports | News | Webcasts | Jobs | Academic | Publications | Tweets | CFP | Quote Features Update: Read more »

  https://www.kdnuggets.com/2014/n31.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: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

• 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

• 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

• Interesting Social Media Datasets

  Learn about some of the many interesting social media datasets available to you, some of which are quite new, and the different features and challenges they offer you for your next big data science project.

  https://www.kdnuggets.com/2014/08/interesting-social-media-datasets.html+

• Interview: Michael Berthold, President and Founder of KNIME, on Data Mining, Startups, and Visual Workflow

  We discuss KNIME key features and how it compares to competition, KNIME business model, Pharma, planned development, and transition from an academic project to a company.

  https://www.kdnuggets.com/2014/08/interview-michael-berthold-knime-data-mining-startup-visual-workflow-part1.html

• KDnuggets™ News 14:n19, Jul 30

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

  https://www.kdnuggets.com/2014/n19.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

• 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

• CRN 50 Big Data Business Analytics Companies

  We examine CRN top 50 Big Data Business Analytics companies. They are younger (average age is 10), and 44% are founded since 2010.

  https://www.kdnuggets.com/2014/06/crn-50-big-data-business-analytics-companies.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: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™ 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: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