Search results for Cognitive Computing

Found 93 documents, 5930 searched:

• 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

• Exploring the Latest Trends in AI/DL: From Metaverse to Quantum Computing

  The author discusses several emerging trends in Artificial Intelligence and Deep Learning such as Metaverse and Quantum Computing.

  https://www.kdnuggets.com/2023/07/exploring-latest-trends-aidl-metaverse-quantum-computing.html

• The Quest for Model Confidence: Can You Trust a Black Box?

  This article explores strategies for evaluating the reliability of labels generated by Large Language Models (LLMs). It discusses the effectiveness of different approaches and offers practical insights for various applications.

  https://www.kdnuggets.com/the-quest-for-model-confidence-can-you-trust-a-black-box

• Brewing a Domain-Specific LLM Potion

  Make your LLM an expert in your field.

  https://www.kdnuggets.com/2023/08/brewing-domainspecific-llm-potion.html

• Comparing Linear and Logistic Regression

  Discussion on an entry-level data science interview question.

  https://www.kdnuggets.com/2022/11/comparing-linear-logistic-regression.html

• AI-Generated Sports Highlights: Different Approaches

  Competition for viewers’ attention is not over after the players leave the field. Now, anyone who can put up a highlight compilation or a game summarization first gets the edge. So, let’s talk about how media companies do just that — with the help of Artificial Intelligence.

  https://www.kdnuggets.com/2022/03/aigenerated-sports-highlights-different-approaches.html

• Artificial Intelligence for Precision Medicine and Better Healthcare

  In this article, we will focus on various machine learning, deep learning models, and applications of AI which can pave the way for a new data-centric era of discovery in healthcare.

  https://www.kdnuggets.com/2020/09/artificial-intelligence-precision-medicine-better-healthcare.html

• AI is a Big Fat Lie

  Is AI legit? This treatise by Eric Siegel, which ridicules the widespread myth of artificial intelligence, is enlightening and actually pretty funny. It's time for the term AI to be “terminated.”

  https://www.kdnuggets.com/2019/01/dr-data-ai-big-fat-lie.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

• For data scientists, now is the time to act; Forrester has insights to help you get started

  IBM, a leader in 2017 Forrester Wave Report for Predictive Analytics and Machine Learning Solutions, offers data scientists a complete toolkit, including predictive analytics and machine learning capabilities and more.

  https://www.kdnuggets.com/2017/06/ibm-forrester-insights.html

• 7 Ways to Get High-Quality Labeled Training Data at Low Cost

  Having labeled training data is needed for machine learning, but getting such data is not simple or cheap. We review 7 approaches including repurposing, harvesting free sources, retrain models on progressively higher quality data, and more.

  https://www.kdnuggets.com/2017/06/acquiring-quality-labeled-training-data.html

• Which Machine Learning Algorithm Should I Use?">Which Machine Learning Algorithm Should I Use?

  A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is "which algorithm should I use?” The answer to the question varies depending on many factors, including the size, quality, and nature of data, the available computational time, and more.

  https://www.kdnuggets.com/2017/06/which-machine-learning-algorithm.html

• One Deep Learning Virtual Machine to Rule Them All

  The frontend code of programming languages only needs to parse and translate source code to an intermediate representation (IR). Deep Learning frameworks will eventually need their own “IR.”

  https://www.kdnuggets.com/2017/04/deep-learning-virtual-machine-rule-all.html

• Key Takeaways from Strata + Hadoop World 2017 San Jose, Day 1">Key Takeaways from Strata + Hadoop World 2017 San Jose, Day 1

  The focus is increasingly shifting from storing and processing Big Data in an efficient way, to applying traditional and new machine learning techniques to drive higher value from the data at hand.

  https://www.kdnuggets.com/2017/03/strata-hadoop-san-jose-key-takeaways.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

• 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

• Data Avengers… Assemble!

  The Avengers are perfectly capable of defending the Earth from our worst enemies. But are they up to the task of taking care of our data? Read this terribly punny "opinion" piece to find out.

  https://www.kdnuggets.com/2016/11/data-avengers-assemble.html

• Theoretical Data Discovery: Using Physics to Understand Data Science

  Data science may be a relatively recent buzzword, but the collection of tools and techniques to which it refers come from a broad range of disciplines. Physics has a wealth of concepts to learn from, as evidenced in this piece.

  https://www.kdnuggets.com/2016/07/theoretical-data-discovery-physics-data-science.html

• What the Next Generation of IoT Sensors Have in Store

  This post is an overview of some of the next-generation IoT sensors, and what they could mean for our future.

  https://www.kdnuggets.com/2016/07/next-generation-iot-sensors.html

• How open API economy accelerates the growth of big data and analytics

  An open API is available on the internet for free. We review the growth of API economy and how organizations have been realizing the potential of open APIs in transforming their business.

  https://www.kdnuggets.com/2016/06/open-api-economy-growth-big-data-analytics.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

• How IBM Watson is Taking on The World

  We have made tremendous progress in the field of data analysis and on the other, our technology is getting smart. IBM has taken a solid stride in the direction of Artificial Intelligence by unveiling its supercomputer IBM Watson, learn what it can do, its adopters and what it holds for the future.

  https://www.kdnuggets.com/2016/02/dezyre-ibm-watson-taking-world.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

• Book: Healthcare Data Analytics

  Written by prominent researchers and experts working in the healthcare domain, this book provides a clear understanding of the analytical techniques currently available to solve healthcare problems.

  https://www.kdnuggets.com/2015/07/book-healthcare-data-analytics.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

• Text Analysis, Text Mining, and Information Retrieval Software

  http likes 47 Commercial | online | free On-line Text Mining / Text Analytics Tools Ranks.nl, keyword analysis and webmaster tools. Text Sentiment Visualizer (online), Read more »

  https://www.kdnuggets.com/software/text.html

• The Case of Homegrown Large Language Models

  Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.

  https://www.kdnuggets.com/the-case-of-homegrown-large-language-models

• Beyond Human Boundaries: The Rise of SuperIntelligence

  From ANI to AGI and Beyond: Deciphering AI's Evolutionary Path.

  https://www.kdnuggets.com/beyond-human-boundaries-the-rise-of-superintelligence

• Whose Responsibility Is It To Get Generative AI Right?

  The limitless possibilities of the technology that transcends boundaries.

  https://www.kdnuggets.com/2023/08/whose-responsibility-get-generative-ai-right.html

• Deep Learning with R

  In this tutorial, learn how to perform a deep learning task in R.

  https://www.kdnuggets.com/2023/05/deep-learning-r.html

• What Is ChatGPT Doing and Why Does It Work?

  In this article, we will explain how ChatGPT works and why it is able to produce coherent and diverse conversations.

  https://www.kdnuggets.com/2023/04/chatgpt-work.html

• Must Read NLP Papers from the Last 12 Months

  The era of large language models is here now.

  https://www.kdnuggets.com/2023/03/must-read-nlp-papers-last-12-months.html

• Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle

  As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.

  https://www.kdnuggets.com/2022/10/top-10-mlops-tools-optimize-manage-machine-learning-lifecycle.html

• AI for Ukraine is a new educational project from AI HOUSE to support the Ukrainian tech community

  “AI for Ukraine” is a series of workshops and lectures held by international artificial intelligence experts to support the development of Ukraine’s tech community during the war. This is a non-commercial educational project by AI HOUSE – a company focused on building the AI/ML community in Ukraine and is part of the Roosh tech ecosystem.

  https://www.kdnuggets.com/2022/08/ai-house-ai-ukraine-new-educational-project-support-ukrainian-tech-community.html

• Top Industries and Employers Hiring Data Scientists in 2022

  This article presents the top industries and companies that are currently actively hiring data scientists.

  https://www.kdnuggets.com/2022/06/top-industries-employers-hiring-data-scientists-2022.html

• 10 Key AI & Data Analytics Trends for 2022 and Beyond

  What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

  https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.html

• Surpassing Trillion Parameters and GPT-3 with Switch Transformers – a path to AGI?">Surpassing Trillion Parameters and GPT-3 with Switch Transformers – a path to AGI?

  Ever larger models churning on increasingly faster machines suggest a potential path toward smarter AI, such as with the massive GPT-3 language model. However, new, more lean, approaches are being conceived and explored that may rival these super-models, which could lead to a future with more efficient implementations of advanced AI-driven systems.

  https://www.kdnuggets.com/2021/10/trillion-parameters-gpt-3-switch-transformers-path-agi.html

• Transform speech into knowledge with Huggingface/Facebook AI and expert.ai

  Speech2Data is a blend of open source and free-to-use AI models and technologies powered by Huggingface, Facebook AI and expert.ai. Learn more here.

  https://www.kdnuggets.com/2021/09/expert-ai-speech-huggingface-facebook.html

• Data Science Project Infrastructure: How To Create It

  The intension for most data science projects is to build something that people use. Creating something purposeful requires a solid infrastructure and processes that keeps problem-solving front-and-center for your audience.

  https://www.kdnuggets.com/2021/08/data-science-project-infrastructure.html

• Awesome list of datasets in 100+ categories

  With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.

  https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

• A Critical Comparison of Machine Learning Platforms in an Evolving Market

  There’s a clear inclination towards the MLaaS model across industries, given the fact that companies today have an option to select from a wide range of solutions that can cater to diverse business needs. Here is a look at 3 of the top ML platforms for data excellence.

  https://www.kdnuggets.com/2021/02/critical-comparison-machine-learning-platforms-evolving-market.html

• The Four Jobs of the Data Scientist">The Four Jobs of the Data Scientist

  So, what do you do for a living? Sometimes, the answer to that question can feel like, "everything!" Well, for the Data Scientist, an extreme sense of being a "jack of all trades" is common. In fact, four such trades can be defined that a top-quality Data Scientist will iterate through during any one project.

  https://www.kdnuggets.com/2021/01/four-jobs-data-scientist.html

• The Future of Fake News

  Let's talk about misleading communications in the digital era.

  https://www.kdnuggets.com/2020/10/future-fake-news.html

• A Curious Theory About the Consciousness Debate in AI

  Dr. Michio Kaku has formulated a very interesting theory of consciousness that applies to AI systems.

  https://www.kdnuggets.com/2020/08/curious-theory-consciousness-debate-ai.html

• What is emotion AI and why should you care?

  What is emotion AI, why is it relevant, and what do you need to know about it?

  https://www.kdnuggets.com/2020/06/emotion-ai.html

• What You Need to Know About Deep Reinforcement Learning

  How does deep learning solve the challenges of scale and complexity in reinforcement learning? Learn how combining these approaches will make more progress toward the notion of Artificial General Intelligence.

  https://www.kdnuggets.com/2020/05/deep-reinforcement-learning.html

• State of the Machine Learning and AI Industry

  Enterprises are struggling to launch machine learning models that encapsulate the optimization of business processes. These are now the essential components of data-driven applications and AI services that can improve legacy rule-based business processes, increase productivity, and deliver results. In the current state of the industry, many companies are turning to off-the-shelf platforms to increase expectations for success in applying machine learning.

  https://www.kdnuggets.com/2020/04/machine-learning-ai-industry.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

• Google’s New Explainable AI Service">Google’s New Explainable AI Service

  Google has started offering a new service for “explainable AI” or XAI, as it is fashionably called. Presently offered tools are modest, but the intent is in the right direction.

  https://www.kdnuggets.com/2019/12/googles-new-explainable-ai-service.html

• Automatic Text Summarization in a Nutshell

  Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Automatic Text Summarization and the various ways it is used.

  https://www.kdnuggets.com/2019/12/automatic-text-summarization-nutshell.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

• 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

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

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

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

• TensorFlow 2.0: Dynamic, Readable, and Highly Extended

  With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates and how to get started on the machine learning platform.

  https://www.kdnuggets.com/2019/08/tensorflow-20.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

• NLP and Computer Vision Integrated">NLP and Computer Vision Integrated

  Computer vision and NLP developed as separate fields, and researchers are now combining these tasks to solve long-standing problems across multiple disciplines.

  https://www.kdnuggets.com/2019/06/nlp-computer-vision-integrated.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

• The AI Black Box Explanation Problem

  Introducing Black Box AI, a system for automated decision making often based on machine learning over big data, which maps a user’s features into a class predicting the behavioural traits of the individuals.

  https://www.kdnuggets.com/2019/03/ai-black-box-explanation-problem.html

• 8 Reasons Why You Should Get a Microsoft Azure Certification">8 Reasons Why You Should Get a Microsoft Azure Certification

  With huge and growing popularity of Microsoft Azure, getting that certification will advance your career. Consider these 8 reasons for taking an Azure certification course

  https://www.kdnuggets.com/2019/03/simplilearn-8-reasons-microsoft-azure-certification.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

• 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

• Comparison of the Top Speech Processing APIs

  There are two main tasks in speech processing. First one is to transform speech to text. The second is to convert the text into human speech. We will describe the general aspects of each API and then compare their main features in the table.

  https://www.kdnuggets.com/2018/12/activewizards-comparison-speech-processing-apis.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

• BIG, small or Right Data: Which is the proper focus?">BIG, small or Right Data: Which is the proper focus?

  For most businesses, having and using big data is either impossible, impractical, costly to justify, or difficult to outsource due to the over demand of qualified resources. So, what are the benefits of using small data?

  https://www.kdnuggets.com/2018/10/big-small-right-data.html

• AI Knowledge Map: How To Classify AI Technologies">AI Knowledge Map: How To Classify AI Technologies

  What follows is then an effort to draw an architecture to access knowledge on AI and follow emergent dynamics, a gateway of pre-existing knowledge on the topic that will allow you to scout around for additional information and eventually create new knowledge on AI.

  https://www.kdnuggets.com/2018/08/ai-knowledge-map-classify-ai-technologies.html

• 50+ Useful Machine Learning & Prediction APIs, 2018 Edition">50+ Useful Machine Learning & Prediction APIs, 2018 Edition

  Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.

  https://www.kdnuggets.com/2018/05/50-useful-machine-learning-prediction-apis-2018-edition.html

• Top 16 Open Source Deep Learning Libraries and Platforms

  We bring to you the top 16 open source deep learning libraries and platforms. TensorFlow is out in front as the undisputed number one, with Keras and Caffe completing the top three.

  https://www.kdnuggets.com/2018/04/top-16-open-source-deep-learning-libraries.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

• 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

• Ranking Popular Deep Learning Libraries for Data Science">Ranking Popular Deep Learning Libraries for Data Science

  We rank 23 open-source deep learning libraries that are useful for Data Science. The ranking is based on equally weighing its three components: Github and Stack Overflow activity, as well as Google search results.

  https://www.kdnuggets.com/2017/10/ranking-popular-deep-learning-libraries-data-science.html

• Using AI to Super Compress Images

  Neural Network algorithms are showing promising results for different complex problems. Here we discuss how these algorithms are used in image compression.

  https://www.kdnuggets.com/2017/08/ai-compress-images.html

• Data Science Primer: Basic Concepts for Beginners">Data Science Primer: Basic Concepts for Beginners

  This collection of concise introductory data science tutorials cover topics including the difference between data mining and statistics, supervised vs. unsupervised learning, and the types of patterns we can mine from data.

  https://www.kdnuggets.com/2017/08/data-science-primer-basic-concepts-for-beginners.html

• Top 15 Python Libraries for Data Science in 2017">Top 15 Python Libraries for Data Science in 2017

  Since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity.

  https://www.kdnuggets.com/2017/06/top-15-python-libraries-data-science.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

• 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 Puzzle, Revisited

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

  https://www.kdnuggets.com/2017/01/data-science-puzzle-revisited.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

• Deep Learning and Neuromorphic Chips

  The 3 main ingredients to creating artificial intelligence are hardware, software, and data, and while we have focused historically on improving software and data, what if, instead, the hardware was drastically changed?

  https://www.kdnuggets.com/2016/05/deep-learning-neuromorphic-chips.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

• 50 Useful Machine Learning & Prediction APIs

  We present a list of 50 APIs selected from areas like machine learning, prediction, text analytics & classification, face recognition, language translation etc. Start consuming APIs!

  https://www.kdnuggets.com/2015/12/machine-learning-data-science-apis.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

• 11 things to know about Sentiment Analysis

  Seth Grimes, a text analytics guru, shares 11 key observations on what works, what is past, what is coming, and what to keep in mind while doing sentiment analysis.

  https://www.kdnuggets.com/2015/08/11-things-about-sentiment-analysis.html

• Interview: David Kasik, Boeing on Data Analysis vs Data Analytics

  We discuss the impact of increasing amount of data on visualization, difference between Data Analysis and Data Analytics, motivation, trends, desired skills and more.

  https://www.kdnuggets.com/2015/02/interview-david-kasik-boeing-data-analytics.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

• Interview: Pedro Domingos: the Master Algorithm, new type of Deep Learning, great advice for young researchers

  Top researcher Pedro Domingos on useful maxims for Data Mining, Machine Learning as the Master Algorithm, new type of Deep Learning called sum-product networks, Big Data and startups, and great advice to young researchers.

  https://www.kdnuggets.com/2014/08/interview-pedro-domingos-master-algorithm-new-deep-learning.html

• When Watson Meets Machine Learning

  Our report on a recent Cognitive Systems meetup co-sponsored by IBM Watson and NYU Center for Data Science, IBM Watson Ecosystem, and machine learning applications, from healthcare to cognitive toys. You will want Fang!

  https://www.kdnuggets.com/2014/07/watson-meets-machine-learning.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

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

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