Search results for Digital Technologies

Found 273 documents, 5949 searched:

• Past 2020 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning

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

  https://www.kdnuggets.com/meetings/past-meetings-2020.html

• NLP Year in Review — 2019

  In this blog post, I want to highlight some of the most important stories related to machine learning and NLP that I came across in 2019.

  https://www.kdnuggets.com/2020/01/nlp-year-review-2019.html

• Top 5 AI trends for 2020

  We are all witnessing a staggering growth of AI technology with so many new benefits for people while also changing the way we live and work. As AI continues to grow, which applications will have a significant impact in 2020?

  https://www.kdnuggets.com/2020/01/top-5-ai-trends-2020.html

• 7 AI Use Cases Transforming Live Sports Production and Distribution

  Here are 7 powerful AI led use cases both for linear television and for OTT apps that are transforming the live sports production landscape.

  https://www.kdnuggets.com/2020/01/7-ai-use-cases-transforming-live-sports-production-distribution.html

• A Comprehensive Guide to Natural Language Generation

  Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.

  https://www.kdnuggets.com/2020/01/guide-natural-language-generation.html

• 5 Ways AI Is Changing The Healthcare Industry

  The healthcare AI market is expected to reach 28 billion dollars by the year 2025. With such exponential growth, AI is undoubtedly likely to bring some drastic changes in the healthcare industry. Let’s look at five ways of how AI has changed the healthcare industry.

  https://www.kdnuggets.com/2020/01/5-ways-ai-changing-healthcare-industry.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

• Scalable graph machine learning: a mountain we can climb?

  Graph machine learning is a developing area of research that brings many complexities. One challenge that both fascinates and infuriates those working with graph algorithms is — scalability. We take a close look at scalability for graph machine learning methods covering what it is, what makes it difficult, and an example of a method that tackles it head-on.

  https://www.kdnuggets.com/2019/12/scalable-graph-machine-learning.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

• Artificial Friend or Virtual Foe

  Is AI making more good than harm?

  https://www.kdnuggets.com/2019/12/artificial-friend-virtual-foe.html

• Top 7 Data Science Use Cases in Trust and Security

  What are trust and safety? What is the role of trust and security in the modern world? Read this overview of 7 data science application use cases in the realm of trust and security.

  https://www.kdnuggets.com/2019/12/top-7-data-science-use-cases-trust-security.html

• Top 8 Data Science Use Cases in Marketing

  In this article, we want to highlight some key data science use cases in marketing. Let us concentrate on several instances that present particular interest and managed to prove their efficiency in the course of time.

  https://www.kdnuggets.com/2019/11/top-8-data-science-use-cases-marketing.html

• The Notebook Anti-Pattern

  This article aims to explain why this drive towards the use of notebooks in production is an anti pattern, giving some suggestions along the way.

  https://www.kdnuggets.com/2019/11/notebook-anti-pattern.html

• Testing Your Machine Learning Pipelines

  Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.

  https://www.kdnuggets.com/2019/11/testing-machine-learning-pipelines.html

• Data Cleaning and Preprocessing for Beginners

  Careful preprocessing of data for your machine learning project is crucial. This overview describes the process of data cleaning and dealing with noise and missing data.

  https://www.kdnuggets.com/2019/11/data-cleaning-preprocessing-beginners.html

• How to Become a Successful Healthcare Data Analyst

  Are you interested in starting your career in the data analysis domain? Read this informative blog on how to get your career off the ground.

  https://www.kdnuggets.com/2019/11/become-successful-healthcare-data-analyst.html

• How to Make an Agile Team Work for Big Data Analytics

  Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value for your Big Data products.

  https://www.kdnuggets.com/2019/10/agile-team-big-data-analytics.html

• Data Sources 101

  Data collection is one of the first steps of the data lifecycle — you need to get all the data you require in the first place. To collect the right data, you need to know where to find it and determine the effort involved in collecting it. This article answers the most basic question: where does all the data you need (or might need) come from?

  https://www.kdnuggets.com/2019/10/data-sources-101.html

• Everything a Data Scientist Should Know About Data Management">Everything a Data Scientist Should Know About Data Management

  For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

  https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

• How to Become a (Good) Data Scientist – Beginner Guide">How to Become a (Good) Data Scientist – Beginner Guide

  A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.

  https://www.kdnuggets.com/2019/10/good-data-scientist-beginner-guide.html

• Sentiment and Emotion Analysis for Beginners: Types and Challenges

  There are three types of emotion AI, and their combinations. In this article, I’ll briefly go through these three types and the challenges of their real-life applications.

  https://www.kdnuggets.com/2019/10/sentiment-emotion-analysis-beginners-types-challenges.html

• How AI will transform healthcare (and can it fix the US healthcare system?)">How AI will transform healthcare (and can it fix the US healthcare system?)

  This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.

  https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

• The Future of Analytics and Data Science">The Future of Analytics and Data Science

  Learn about the current and future issues of data science and possible solutions from this interview with IADSS Co-founder, Dr. Usama Fayyad following his keynote speech at ODSC Boston 2019.

  https://www.kdnuggets.com/2019/09/future-analytics-data-science.html

• 6 Tips for Building a Training Data Strategy for Machine Learning

  Without a well-defined approach for collecting and structuring training data, launching an AI initiative becomes an uphill battle. These six recommendations will help you craft a successful strategy.

  https://www.kdnuggets.com/2019/09/6-tips-training-data-strategy-machine-learning.html

• Jobs in Data Science, Machine Learning, AI & Analytics

  To add a free short entry here for a job related to Data Science, Machine Learning, AI or Analytics, email the following 5 items to Read more »

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

• Proptech and the proper use of technology for house sales prediction

  Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property. We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations.

  https://www.kdnuggets.com/2019/08/proptech-technology-house-sales-prediction.html

• Gender Diversity in AI Research

  Through an analysis of 1.5M papers from arXiv, this study reviews the evolution of gender diversity across disciplines, countries, and institutions as well as the semantic differences between AI papers with and without female co-authors.

  https://www.kdnuggets.com/2019/08/gender-diversity-ai-research.html

• Manual Coding or Automated Data Integration – What’s the Best Way to Integrate Your Enterprise Data?

  What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? Find out the approach that best fits your organization’s needs and the factors that influence it.

  https://www.kdnuggets.com/2019/08/manual-coding-automated-data-integration-best-way.html

• 12 NLP Researchers, Practitioners & Innovators You Should Be Following">12 NLP Researchers, Practitioners & Innovators You Should Be Following

  Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.

  https://www.kdnuggets.com/2019/08/nlp-researchers-practitioners-innovators-should-follow.html

• Introduction to Image Segmentation with K-Means clustering

  Image segmentation is the classification of an image into different groups. Many kinds of research have been done in the area of image segmentation using clustering. In this article, we will explore using the K-Means clustering algorithm to read an image and cluster different regions of the image.

  https://www.kdnuggets.com/2019/08/introduction-image-segmentation-k-means-clustering.html

• Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment

  This is an excerpt from a survey which sought to evaluate the relevance of machine learning in operations today, assess the current state of machine learning adoption and to identify tools used for machine learning. A link to the full report is inside.

  https://www.kdnuggets.com/2019/08/machine-learning-happening-now-survey-organizational-adoption-implementation-investment.html

• Understanding Tensor Processing Units

  The Tensor Processing Unit (TPU) is Google's custom tool to accelerate machine learning workloads using the TensorFlow framework. Learn more about what TPUs do and how they can work for you.

  https://www.kdnuggets.com/2019/07/understanding-tensor-processing-units.html

• Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning">Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning

  Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.

  https://www.kdnuggets.com/2019/07/best-podcasts-ai-analytics-data-science-machine-learning.html

• Big Data for Insurance

  The insurance industry has always been quite conservative; however, the adoption of new technologies is not just a modern trend but a necessity to maintain the competitive pace. In the modern digital era, Big Data technologies help to process vast amounts of information, increase workflow efficiency, and reduce operational costs. Learn more about the benefits of Big Data for insurance from our material.

  https://www.kdnuggets.com/2019/07/big-data-insurance.html

• Computer Vision for Beginners: Part 1

  Image processing is performing some operations on images to get an intended manipulation. Think about what we do when we start a new data analysis. We do some data preprocessing and feature engineering. It’s the same with image processing.

  https://www.kdnuggets.com/2019/07/computer-vision-beginners.html

• The Death of Big Data and the Emergence of the Multi-Cloud Era">The Death of Big Data and the Emergence of the Multi-Cloud Era

  The Era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multi-cloud support, machine learning, and real-time analytics.

  https://www.kdnuggets.com/2019/07/death-big-data-multi-cloud-era.html

• NLP vs. NLU: from Understanding a Language to Its Processing">NLP vs. NLU: from Understanding a Language to Its Processing

  As AI progresses and the technology becomes more sophisticated, we expect existing techniques to evolve. With these changes, will the well-founded natural language processing give way to natural language understanding? Or, are the two concepts subtly distinct to hold their own niche in AI?

  https://www.kdnuggets.com/2019/07/nlp-vs-nlu-understanding-language-processing.html

• A Step-by-Step Guide to Transitioning your Career to Data Science – Part 1">A Step-by-Step Guide to Transitioning your Career to Data Science – Part 1

  If you are looking to transition your career to data science, don't immediately start learning Python or R. Instead, leverage the domain expertise you have accumulated over the years. Here's a foolproof guide on how to do that.

  https://www.kdnuggets.com/2019/05/guide-transitioning-career-data-science-part-1.html

• Think Like an Amateur, Do As an Expert: Lessons from a Career in Computer Vision

  Dr. Takeo Kanade shared his life lessons from an illustrious 50-year career in Computer Vision at last year's Embedded Vision Summit. You have a chance to attend the 2019 Embedded Vision Summit, from May 20-23, in the Santa Clara Convention Center, Santa Clara CA.

  https://www.kdnuggets.com/2019/05/kanade-lessons-career-computer-vision.html

• What’s Going to Happen this Year in the Data World

  "If we wish to foresee the future of mathematics, our proper course is to study the history and present condition of the science." Henri Poncairé.

  https://www.kdnuggets.com/2019/05/whats-going-happen-this-year-data-world.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

• Distributed Artificial Intelligence: A primer on Multi-Agent Systems, Agent-Based Modeling, and Swarm Intelligence

  Distributed Artificial Intelligence (DAI) is a class of technologies and methods that span from swarm intelligence to multi-agent technologies. It is one of the subsets of AI where simulation has greater importance that point-prediction.

  https://www.kdnuggets.com/2019/04/distributed-artificial-intelligence-multi-agent-systems-agent-based-modeling-swarm-intelligence.html

• Best Data Visualization Techniques for small and large data">Best Data Visualization Techniques for small and large data

  Data visualization is used in many areas to model complex events and visualize phenomena that cannot be observed directly, such as weather patterns, medical conditions or mathematical relationships. Here we review basic data visualization tools and techniques.

  https://www.kdnuggets.com/2019/04/best-data-visualization-techniques.html

• 2019 Best Masters in Data Science and Analytics – Europe Edition">2019 Best Masters in Data Science and Analytics – Europe Edition

  We provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across Europe.

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

• How to DIY Your Data Science Education

  Some people find the path of formal education works well for them, but this may not work for everyone, in every situation. Here are eight ways that you can take a DIY approach to your data science education.

  https://www.kdnuggets.com/2019/04/diy-your-data-science-education.html

• Top 8 Data Science Use Cases in Gaming

  The understanding of the data value for optimization and improvement of gaming makes specialists search for new ways to apply data science and its benefits in the gaming business. Therefore, various specific data science use cases appear. Here is our list of the most efficient and widely applied data science use cases in gaming.

  https://www.kdnuggets.com/2019/04/top-8-data-science-use-cases-gaming.html

• Top 8 Data Science Use Cases in Manufacturing

  Data science is said to change the manufacturing industry dramatically. Let's take under consideration several data science use cases in manufacturing that have already become common and brought benefits to the manufacturers.

  https://www.kdnuggets.com/2019/03/top-8-data-science-use-cases-manufacturing.html

• Towards Automatic Text Summarization: Extractive Methods

  The basic idea looks simple: find the gist, cut off all opinions and detail, and write a couple of perfect sentences, the task inevitably ended up in toil and turmoil. Here is a short overview of traditional approaches that have beaten a path to advanced deep learning techniques.

  https://www.kdnuggets.com/2019/03/towards-automatic-text-summarization.html

• 6 Books About Open Data Every Data Scientist Should Read

  Check out this collection of six books which tackle the hard skills required to make sense of the changing field known as open data and muse on the ethical implications of a digitally connected world.

  https://www.kdnuggets.com/2019/02/6-books-open-data-every-data-scientist-read.html

• Top 10 Data Science Use Cases in Telecom

  In this article, we attempt to present the most relevant and efficient data science use cases in the field of telecommunication.

  https://www.kdnuggets.com/2019/02/top-10-data-science-use-cases-telecom.html

• How AI can help solve some of humanity’s greatest challenges – and why we might fail

  AI represents a step change in humanity’s ability to rise to its greatest challenges. We explore three areas in which AI can contribute to the UN’s Global Goals - and why we could fall short.

  https://www.kdnuggets.com/2019/02/ai-help-solve-humanity-challenges.html

• The Data Science Gold Rush: Top Jobs in Data Science and How to Secure Them

  Because big data touches almost every industry across the board, those who aren’t already working in data and analytics will soon be utilizing the technology for its undeniable business benefits. Whichever way you slice it, the future of work is through data.

  https://www.kdnuggets.com/2019/01/top-jobs-data-science.html

• Ontology and Data Science">Ontology and Data Science

  In simple words, one can say that ontology is the study of what there is. But there is another part to that definition that will help us in the following sections, and that is ontology is usually also taken to encompass problems about the most general features and relations of the entities which do exist.

  https://www.kdnuggets.com/2019/01/ontology-data-science.html

• Top 10 Books on NLP and Text Analysis">Top 10 Books on NLP and Text Analysis

  When it comes to choosing the right book, you become immediately overwhelmed with the abundance of possibilities. In this review, we have collected our Top 10 NLP and Text Analysis Books of all time, ranging from beginners to experts.

  https://www.kdnuggets.com/2019/01/top-10-books-nlp-text-analysis.html

• About KDnuggets

  KDnuggets is a leading site on Data Science, Machine Learning, AI and Analytics. KDnuggets was founded by Gregory Piatetsky-Shapiro. KD stands for Knowledge Discovery.   Read more »

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

• Awards and Honors for KDnuggets

  Here are notable KDnuggets awards, honors, and mentions In Top DataScience Blogs to follow in 2021, Dev.to, Jun 2021. In Digital Scouting Top 100 Digital Read more »

  https://www.kdnuggets.com/about/awards.html

• Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019">Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019

  This is a collection of data science, machine learning, analytics, and AI predictions for next year from a number of top industry organizations. See what the insiders feel is on the horizon for 2019!

  https://www.kdnuggets.com/2018/12/predictions-industry-2019.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

• 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

• The Big Data Game Board™">The Big Data Game Board™

  Move aside “Monopoly,” “Risk,” and “Snail Race!” Time to teach the youth of the world of an important, career-advancing game: how to leverage data and analytics to change your life! Introducing the “Big Data Game Board™”!

  https://www.kdnuggets.com/2018/11/big-data-game-board.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

• Ethics + Data Science: opinion by DJ Patil, former US Chief Data Scientist

  How much has data changed our lives over the past decade? Former US Chief Data Scientist DJ Patil investigates.

  https://www.kdnuggets.com/2018/09/ethics-data-science.html

• Word Vectors in Natural Language Processing: Global Vectors (GloVe)

  A well-known model that learns vectors or words from their co-occurrence information is GlobalVectors (GloVe). While word2vec is a predictive model — a feed-forward neural network that learns vectors to improve the predictive ability, GloVe is a count-based model.

  https://www.kdnuggets.com/2018/08/word-vectors-nlp-glove.html

• Big Data a $4.7 Billion opportunity in the healthcare and pharmaceutical industry

  This post contains some of the key findings from the SNS Telecom & IT's latest report, which indicates that Big Data investments in the healthcare and pharmaceutical industry are expected to reach nearly $4.7 Billion by the end of 2018.

  https://www.kdnuggets.com/2018/07/snstelecom-big-data-healthcare-pharm.html

• 5 reasons data analytics are falling short

  When it comes to big data, possession is not enough. Comprehensive intelligence is the key. But traditional data analytics paradigms simply cannot deliver on the promise of data-driven insights. Here’s why.

  https://www.kdnuggets.com/2018/07/5-reasons-data-analytics-falling-short.html

• Audience Segmentation

  The process of audience segmentation is not about just statistics, it’s about finding your ideal clients and choosing the right way of interaction with them.

  https://www.kdnuggets.com/2018/06/audience-segmentation.html

• Beyond Data Lakes and Data Warehousing

  We give a comprehensive review of data lakes and data warehouses, and look at what the future holds for total data integration.

  https://www.kdnuggets.com/2018/05/data-lakes-data-warehousing-integration-revolution.html

• Top 7 Data Science Use Cases in Finance

  We have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial solutions.

  https://www.kdnuggets.com/2018/05/top-7-data-science-use-cases-finance.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

• Top 10 Technology Trends of 2018">Top 10 Technology Trends of 2018

  In this article, we will focus on the modern trends that took off well on the market by the end of 2017 and discuss the major breakthroughs expected in 2018.

  https://www.kdnuggets.com/2018/04/top-10-technology-trends-2018.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

• Applying Machine Learning to DevOps

  This article explains the synergy between DevOps and Machine Learning and their applications like tracking application delivery, troubleshooting and triage analytics, preventing production failures, etc.

  https://www.kdnuggets.com/2018/02/applying-machine-learning-devops.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

• Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI">Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI

  A complete and unbiased comparison of the three most common Cloud Technologies for Machine Learning as a Service.

  https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html

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

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

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

• 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

• Best Masters in Data Science and Analytics – Asia and Australia Edition

  The fourth edition of our comprehensive, unbiased survey on graduate degrees in Data Science and Analytics from around the world.

  https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-asia-australia.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

• Best Masters in Data Science and Analytics – Europe Edition

  The third part of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics, examining the programs from Europe.

  https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-europe.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

• Blockchain Key Terms, Explained

  Need a quick glance over some important definitions associated with the Blockchain? Then consider this article your Blockchain Definitions 101!

  https://www.kdnuggets.com/2017/11/blockchain-key-terms-explained.html

• More than the Hype: Beyond Gartner’s Hype Cycle

  Gartner publishes hype cycles across different technologies and sectors. Here we conduct detailed analysis of Gartner’s Hype Cycles.

  https://www.kdnuggets.com/2017/11/beyond-gartners-hype-cycle.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

• Are Data Lakes Fake News?">Are Data Lakes Fake News?

  The quick answer is yes, and the biggest problem is that the term “Data Lakes” has been overloaded by vendors and analysts with different meanings, resulting in an ill-defined and blurry concept.

  https://www.kdnuggets.com/2017/09/data-lakes-fake-news.html

• The Quant Crunch: The demand for data science skills

  This report, created by analyzing millions of job postings using advanced technology, divides Data Science and Analytics roles into 6 broad categories, and answers many questions, including cities, industries, job roles with most growth.

  https://www.kdnuggets.com/2017/05/quant-crunch-demand-data-science-skills.html

• The dynamics between AI and IoT

  We see the need for a new type of Engineer who will combine knowledge from Electronics & IoT with Machine learning, AI, Robotics, Cloud and Data management (devops).

  https://www.kdnuggets.com/2017/04/dynamics-ai-iot.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

• 50 Companies Leading The AI Revolution, Detailed">50 Companies Leading The AI Revolution, Detailed

  We detail 50 companies leading the Artificial Intelligence revolution in AD Sales, CRM, Autotech, Business Intelligence and analytics, Commerce, Conversational AI/Bots, Core AI, Cyber-Security, Fintech, Healthcare, IoT, Vision, and other areas.

  https://www.kdnuggets.com/2017/03/50-companies-leading-ai-revolution-detailed.html

• Building a Bot to Answer FAQs: Predicting Text Similarity

  In this post, learn to build a bot to answer frequently asked questions, reducing lag time for more customers and taking the load off of engineers, ensuring they can concentrate on building products!

  https://www.kdnuggets.com/2017/03/bot-answer-faqs-predicting-text-similarity.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

• 90 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning (updated)

  Stay up-to-date in the data science with active blogs. This is a list of 90 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.

  https://www.kdnuggets.com/2017/01/blogs-analytics-big-data-mining-data-science-machine-learning.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

• 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

• Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017">Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017

  Key themes included the polling failures in 2016 US Elections, Deep Learning, IoT, greater focus on value and ROI, and increasing adoption of predictive analytics by the "masses" of industry.
   
  

  https://www.kdnuggets.com/2016/12/data-science-predictive-analytics-main-developments-trends.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

• Top 16 Active Big Data, Data Science Leaders on LinkedIn

  Who are the most active Big Data, Data Science Influencers and Leaders on LinkedIn? We analyze the data and bring you the list of key people to follow.

  https://www.kdnuggets.com/2016/09/top-big-data-science-leaders-linkedin.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

• 5 Ways in Which Big Data Can Help Leverage Customer Data

  Every business enterprise realizes the importance of big data but rarely puts the customer data that they possess to good use. Here are few ways enterprises can leverage customer data.

  https://www.kdnuggets.com/2016/05/5-ways-big-data-leverage-customer-data.html

• Meet the 11 Big Data & Data Science Leaders on LinkedIn

  In this post, we present a list of popular data science leaders on LinkedIn. Follow these leaders who will keep you in touch with the latest Data Science happenings!

  https://www.kdnuggets.com/2016/05/10-big-data-data-science-leaders-linkedin.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

• R Learning Path: From beginner to expert in R in 7 steps

  This learning path is mainly for novice R users that are just getting started but it will also cover some of the latest changes in the language that might appeal to more advanced R users.

  https://www.kdnuggets.com/2016/03/datacamp-r-learning-path-7-steps.html

• Sentiment Analysis 101

  Sentiment analysis can be incredibly useful, and can help companies better answer pertinent questions and gain valuable business insights. Sentiment analysis technologies will continue to improve as they become more widely adopted. But what can sentiment analysis do for you?

  https://www.kdnuggets.com/2015/12/sentiment-analysis-101.html

• 6 crazy things Deep Learning and Topological Data Analysis can do with your data

  Want to analyze a high dimensional dataset and you are running out of options? Find out how Deep Learning combined with Topological Data Analysis can do exactly that and more.

  https://www.kdnuggets.com/2015/11/crazy-deep-learning-topological-data-analysis.html

• How Big Data is used in Recommendation Systems to change our lives

  A Recommendation systems have impacted or even redefined our lives in many ways. It works in well-defined, logical phases which are data collection, ratings, and filtering.

  https://www.kdnuggets.com/2015/10/big-data-recommendation-systems-change-lives.html

• Big Data Influence on Data Driven Advertising

  More and more companies relying on big data for their data driven initiatives. In a survey conducted by BlueKai, we are trying to capture what its impact on advertising strategies.

  https://www.kdnuggets.com/2015/08/big-data-influencing-data-driven-advertising.html

• Gartner 2015 Hype Cycle: Big Data is Out, Machine Learning is in

  Which are the most hyped technologies today? Check out Gartner's latest 2015 Hype Cycle Report. Autonomous cars & IoT stay at the peak while big data is losing its prominence. Smart Dust is a new cool technology for the next decade!

  https://www.kdnuggets.com/2015/08/gartner-2015-hype-cycle-big-data-is-out-machine-learning-is-in.html

• Data Science and Big Data: Two very Different Beasts

  Creating artifact from the ore requires the tools, craftmanship and science. Same is the case of big data and data science, here we present the distinguishing factors between the ore and the artifact.

  https://www.kdnuggets.com/2015/07/data-science-big-data-different-beasts.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

• R and Hadoop make Machine Learning Possible for Everyone

  R and Hadoop make machine learning approachable enough for inexperienced users to begin analyzing and visualizing interesting data to start down the path in this lucrative field.

  https://www.kdnuggets.com/2014/11/r-hadoop-make-machine-learning-possible-everyone.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: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

• 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

• 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: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: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: 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

• Blogs on AI, Analytics, Data Science, Machine Learning

  Here are some of the most interesting and regularly-updated blogs on Analytics, Big Data, Data Science, Data Mining, and Machine Learning, in alphabetical order. Blog Read more »

  https://www.kdnuggets.com/websites/blogs.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

• Marketing, Database Marketing, Direct Marketing, Web Marketing, Real-Time Marketing

  Actonvision.com offers Branding, Internet Marketing, eMarketing, Search Engine Optimization, Internet Advertising, more... AffiliateGurus, Affiliate marketing tips, secrets, and how to marketing videos to help you Read more »

  https://www.kdnuggets.com/solutions/marketing.html

• Fraud Detection Solutions

  AccessPay fraud detection software alerts businesses to fraudulent activity before payments are sent. Alaric Systems "Fractals" card fraud detection and prevention systems using proprietary inference Read more »

  https://www.kdnuggets.com/solutions/fraud-detection.html

• CRM (Customer Relationship Management)

  A B C D E F G H I J K L M N O PQ R S T U V W XYZ 11Ants Customer Read more »

  https://www.kdnuggets.com/solutions/crm.html

• 2013 Nov: Analytics, Big Data, Data Mining and Data Science Posts

  All (116) | News, Software (28) | Courses, Events (23) | Jobs | Academic | Publications (36) Yahoo SAMOA, Open Source Platform for Mining Big Read more »

  https://www.kdnuggets.com/2013/11/index.html

• KDnuggets™ News 13:n30, Dec 11

  Features (12) | Software (2) | Webcasts (1) | Courses, Events (5) | Meetings (1) | Jobs (5) | Academic (1) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n30.html

• Data Mining, Data Science, and Analytics News, Oct 2013

  All (109) | News, Software (30) | Courses, Events (28) | Jobs | Academic | Publications (32) Adjunct Faculty, develop and teach courses Data Mining, Read more »

  https://www.kdnuggets.com/2013/10/index.html

• KDnuggets™ News 13:n29, Nov 26

  Features (6) | Software (1) | Webcasts (2) | Meetings (2) | Jobs (7) | Academic (1) | Publications (3) | Tweets (3) | CFP Read more »

  https://www.kdnuggets.com/2013/n29.html