Search results for Investors

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  • 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

  • Dot com to Dot AI: The New Tech Bubble?

    Welcome to the world of investments!

    https://www.kdnuggets.com/dot-com-to-dot-ai-new-tech-bubble

  • 5 Free Resources to Master Your Data Science Job Search

    Learn how to use various data science platforms to secure your first job.

    https://www.kdnuggets.com/5-free-resources-to-master-your-data-science-job-search

  • 3 Inspirational Stories of Leaders in AI

    Every leader has their origin story, and here are some that might inspire you.

    https://www.kdnuggets.com/3-inspirational-stories-of-leaders-in-ai

  • Natural Language Processing: Bridging Human Communication with AI

    The post highlights real-world examples of NLP use cases across industries. It also covers NLP's objectives, challenges, and latest research developments.

    https://www.kdnuggets.com/natural-language-processing-bridging-human-communication-with-ai

  • Top Companies in India to Consider for Employment

    If you’re looking for a job, want to shift careers, or start a new chapter and currently reside in India. Check out these top 7 companies to consider for employment in India for 2023/24.

    https://www.kdnuggets.com/top-companies-in-india-to-consider-for-employment

  • The Generative AI Bubble Will Burst Soon

    Due to unsustainable hype, unrealistic valuations, limitations of current technology, and unproven business models.

    https://www.kdnuggets.com/the-generative-ai-bubble-will-burst-soon

  • Who Will Make Money from the Generative AI Gold Rush?

    Buckle up for the Generative AI gold rush! Will BigTech rule with its picks and shovels? Which startups will strike it rich? Will “copilot for X” be the business strategy to hit pay dirt? How can startups dig moats to keep out other prospectors? And will the US once again have the richest gold seams?

    https://www.kdnuggets.com/2023/08/make-money-generative-ai-gold-rush.html

  • Here Are the AI Tools I Use Along With My Skills to Make $10,000 Monthly — No BS

    And discover how you can maximize your earnings with AI.

    https://www.kdnuggets.com/2023/07/ai-tools-along-skills-make-10000-monthly-bs.html

  • The Base Rate Fallacy and its Impact on Data Science

    The base rate fallacy is the importance of considering all relevant data.

    https://www.kdnuggets.com/2023/04/base-rate-fallacy-impact-data-science.html

  • 10 Hurdles of Building a Deep Tech Startup in the Age of ChatGPT

    This article provides an overview of the unique challenges faced by deep tech startups, including technical complexity, regulatory hurdles, and financial risks.

    https://www.kdnuggets.com/2023/04/10-hurdles-building-deep-tech-startup-age-chatgpt.html

  • ChatGPT, GPT-4, and More Generative AI News

    A short review of developments in the AI world.

    https://www.kdnuggets.com/2023/02/chatgpt-gpt4-generative-ai-news.html

  • 5 Ways to Deal with the Lack of Data in Machine Learning

    Effective solutions exist when you don't have enough data for your models. While there is no perfect approach, five proven ways will get your model to production.

    https://www.kdnuggets.com/2019/06/5-ways-lack-data-machine-learning.html

  • We Don’t Need Data Scientists, We Need Data Engineers

    As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.

    https://www.kdnuggets.com/2021/02/dont-need-data-scientists-need-data-engineers.html

  • Data Science Projects That Can Help You Solve Real World Problems

    The best way to learn Data Science is by solving real-world problems with the data and building your own portfolio. In this article, we will discuss three projects that you can work on to build your portfolio and impress interviewers.

    https://www.kdnuggets.com/2022/11/data-science-projects-help-solve-real-world-problems.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

  • Data Science Career: 7 Expectations vs Reality

    Let’s get into some of the expectations of data scientists – and the reality they face.

    https://www.kdnuggets.com/2022/06/data-science-career-7-expectations-reality.html

  • Predicting Cryptocurrency Prices Using Regression Models

    In this article, we explore how to get started with the prediction of cryptocurrency prices using multiple linear regression. The factors investigated include predictions on various time intervals as well as the use of various features in the models such as opening price, high price, low price and volume.

    https://www.kdnuggets.com/2022/05/predicting-cryptocurrency-prices-regression-models.html

  • Uncertainty Quantification in Artificial Intelligence-based Systems

    The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.

    https://www.kdnuggets.com/2022/04/uncertainty-quantification-artificial-intelligencebased-systems.html

  • Data Quality: The Good, The Bad, and The Ugly

    Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.

    https://www.kdnuggets.com/2022/01/data-quality-good-bad-ugly.html

  • What Makes Python An Ideal Programming Language For Startups">Silver BlogWhat Makes Python An Ideal Programming Language For Startups

    In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.

    https://www.kdnuggets.com/2021/12/makes-python-ideal-programming-language-startups.html

  • Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022

    We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

    https://www.kdnuggets.com/2021/12/developments-predictions-data-science-analytics-industry.html

  • Data Monetization 101

    The evolving marketplace of data now includes many firms that support a variety of needs from organizations looking to grow with data. This listing of the key players categorized by target market provides an interesting picture of this exciting industry sector.

    https://www.kdnuggets.com/2021/07/data-monetization-101.html

  • Will There Be a Shortage of Data Science Jobs in the Next 5 Years?">Gold BlogWill There Be a Shortage of Data Science Jobs in the Next 5 Years?

    The data science workflow is getting automated day by day.

    https://www.kdnuggets.com/2021/06/shortage-data-science-jobs-5-years.html

  • How to pitch to VCs, explained: The Deck We Used to Raise Capital For Our Open-Source ELT Platform

    Winning seed funding from venture capitalists is a daunting task, and the pitch is key. Learn how one effective slide deck resulted in a successful early funding round for an open-source start-up, Airbyte.

    https://www.kdnuggets.com/2021/05/vc-pitch-deck-open-source-elt-platform.html

  • How to Apply Transformers to Any Length of Text

    Read on to find how to restore the power of NLP for long sequences.

    https://www.kdnuggets.com/2021/04/apply-transformers-any-length-text.html

  • Is It Too Late to Learn AI?

    Have you missed the train on learning AI?

    https://www.kdnuggets.com/2021/03/too-late-learn-ai.html

  • Beyond the Nash Equilibrium: DeepMind Clever Strategy to Solve Asymmetric Games

    The method expands the concept of a Nash equilibrium by decomposing an asymmetric game into multiple symmetric games.

    https://www.kdnuggets.com/2021/02/beyond-nash-equilibrium-deepmind-solve-asymmetric-games.html

  • Where is Marketing Data Science Headed?

    Marketing data science - data science related to marketing - is now a significant part of marketing. Some of it directly competes with traditional marketing research and many marketing researchers may wonder what the future holds in store for it.

    https://www.kdnuggets.com/2021/01/marketing-data-science-headed.html

  • Applications of Data Science and Business Analytics

    In recent times, a large number of businesses have begun realising the potential of Data Science. Business analytics and data science applications are far and wide. So let us have a look at them in detail.

    https://www.kdnuggets.com/2020/12/greatlearning-applications-data-science-business-analytics.html

  • Content-Based Recommendation System using Word Embeddings

    This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.

    https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html

  • What I learned from looking at 200 machine learning tools

    While hundreds of machine learning tools are available today, the ML software landscape may still be underdeveloped with more room to mature. This review considers the state of ML tools, existing challenges, and which frameworks are addressing the future of machine learning software.

    https://www.kdnuggets.com/2020/07/200-machine-learning-tools.html

  • Deep Learning in Finance: Is This The Future of the Financial Industry?

    Get a handle on how deep learning is affecting the finance industry, and identify resources to further this understanding and increase your knowledge of the various aspects.

    https://www.kdnuggets.com/2020/07/deep-learning-finance-future-financial-industry.html

  • Pull and Analyze Financial Data Using a Simple Python Package

    We demonstrate a simple Python script/package to help you pull financial data (all the important metrics and ratios that you can think of) and plot them.

    https://www.kdnuggets.com/2020/07/pull-analyze-financial-data-simple-python-package.html

  • Four Ways to Apply NLP in Financial Services

    Natural language processing (NLP) is increasingly used to review unstructured content or spot trends in markets. How is Refinitiv Labs applying NLP in financial services to meet challenges around investment decision-making and risk management?

    https://www.kdnuggets.com/2020/06/four-ways-apply-nlp-financial-services.html

  • Spotting Controversy with NLP

    In this article, I’ll introduce you to a hot-topic in financial services and describe how a leading data provider is using data science and NLP to streamline how they find insights in unstructured data.

    https://www.kdnuggets.com/2020/05/spotting-controversy-nlp.html

  • Should Data Scientists Model COVID19 and other Biological Events">Silver BlogShould Data Scientists Model COVID19 and other Biological Events

    Biostatisticians use statistical techniques that your current everyday data scientists have probably never heard of. This is a great example where lack of domain knowledge exposes you as someone that does not know what they are doing and are merely hopping on a trend.

    https://www.kdnuggets.com/2020/04/data-scientists-model-covid19-biological-events.html

  • 4 Realistic Career Options for Data Scientists

    It’s almost 10 years since "Data Science" became mainstream. We ask less about how to get into Data Science, but wonder "what’s next?" This article includes insights on four non-trivial, but practical, options and their pitfalls.

    https://www.kdnuggets.com/2020/04/4-career-options-data-scientists.html

  • Alternative Data, Text Analytics, and Sentiment Analysis in Trading and Investing

    Different types of data beyond your typical dollars and cents have been used in the finance industry for many years. By leveraging machine learning, sentiment data is expected to play an increasingly dominant role in the investment industry, and this article highlights some special challenges of its use in trading models.

    https://www.kdnuggets.com/2020/03/alternative-data-text-analytics-sentiment-analysis-investing.html

  • Stock Market Forecasting Using Time Series Analysis

    Time series analysis will be the best tool for forecasting the trend or even future. The trend chart will provide adequate guidance for the investor. So let us understand this concept in great detail and use a machine learning technique to forecast stocks.

    https://www.kdnuggets.com/2020/01/stock-market-forecasting-time-series-analysis.html

  • Why software engineering processes and tools don’t work for machine learning

    While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.

    https://www.kdnuggets.com/2019/12/comet-software-engineering-machine-learning.html

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

  • Crafting an Elevator Pitch for your Data Science Startup

    If you are launching a data science startup, these tips will give you a head start as you seek capital for seed funding or your next level of growth.

    https://www.kdnuggets.com/2019/08/elevator-pitch-data-science-startup.html

  • What’s the Best Data Strategy for Enterprises: Build, buy, partner or acquire?

    Every large organization is investing heavily in building data solutions and tools. They are building data solutions from scratch when they could be taking advantage of readily available tools and solutions. Many organizations are re-inventing the wheel and wasting resources.

    https://www.kdnuggets.com/2019/07/best-data-strategy-enterprises-build-buy-partner-acquire.html

  • How To Get Funding For AI Startups

    What are the biggest challenges AI startups have when pitching to investors? Learn how to grab their attention with these recommendations on how to start building your AI company.

    https://www.kdnuggets.com/2019/06/funding-ai-startups.html

  • Optimization with Python: How to make the most amount of money with the least amount of risk?

    Learn how to apply Python data science libraries to develop a simple optimization problem based on a Nobel-prize winning economic theory for maximizing investment profits while minimizing risk.

    https://www.kdnuggets.com/2019/06/optimization-python-money-risk.html

  • Learn About Data Science & the Future of Investing from Hedge Fund Leaders at Rev 2

    Rev 2 features interactive sessions, Q&A with industry luminaries, poster sessions for interesting modeling techniques and accomplishments, and stimulating conversations about how to make data science an enterprise-grade capability.

    https://www.kdnuggets.com/2019/04/domino-data-science-hedge-fund-rev-2.html

  • Interview Questions for Data Science – Three Case Interview Examples

    Part two in this series of useful posts for aspiring data scientists focuses on case interviews and how you can best go about answering them.

    https://www.kdnuggets.com/2019/04/interview-questions-data-science.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

  • Platinum BlogYour AI skills are worth less than you think">Platinum BlogPlatinum BlogYour AI skills are worth less than you think

    We are in the middle of an AI boom. That doesn’t mean that making your AI startup succeed is easy. I think there are some important pitfalls ahead of anyone trying to build their business around AI.

    https://www.kdnuggets.com/2019/01/your-ai-skills-worth-less-than-you-think.html

  • Introduction to Named Entity Recognition

    Named Entity Recognition is a tool which invariably comes handy when we do Natural Language Processing tasks. Read on to find out how.

    https://www.kdnuggets.com/2018/12/introduction-named-entity-recognition.html

  • Why AI will not replace radiologists

    We investigate some of the reasons why radiologists will be safe from AI, including the fact that humans will always maintain ultimate responsibility, how productivity gains will drive demand, and more.

    https://www.kdnuggets.com/2018/11/why-ai-will-not-replace-radiologists.html

  • The Intuitions Behind Bayesian Optimization with Gaussian Processes

    Bayesian Optimization adds a Bayesian methodology to the iterative optimizer paradigm by incorporating a prior model on the space of possible target functions. This article introduces the basic concepts and intuitions behind Bayesian Optimization with Gaussian Processes.

    https://www.kdnuggets.com/2018/10/intuitions-behind-bayesian-optimization-gaussian-processes.html

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

  • Financial Data Analysis – Data Processing 1: Loan Eligibility Prediction

    In this first part I show how to clean and remove unnecessary features. Data processing is very time-consuming, but better data would produce a better model.

    https://www.kdnuggets.com/2018/09/financial-data-analysis-loan-eligibility-prediction.html

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

  • 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

  • What is Minimum Viable (Data) Product?

    This post gives a personal insight into what Minimum Viable Product means for Machine Learning and the importance of starting small and iterating.

    https://www.kdnuggets.com/2018/07/minimum-viable-data-product.html

  • Advice For Applying To Data Science Jobs

    A comprehensive guide to applying for a job in data science, covering the application, interview and offer stage.

    https://www.kdnuggets.com/2018/06/advice-applying-data-science-jobs.html

  • How to tackle common data cleaning issues in R

    R is a great choice for manipulating, cleaning, summarizing, producing probability statistics, and so on. In addition, it's not going away anytime soon, it is platform independent, so what you create will run almost anywhere, and it has awesome help resources.

    https://www.kdnuggets.com/2018/05/packt-tackle-common-data-cleaning-issues-r.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

  • How StockTwits Applies Social and Sentiment Data Science

    StockTwits is a social network for investors and traders, giving them a platform to share assertions and perceptions, analyses and predictions.

    https://www.kdnuggets.com/2018/03/stocktwits-social-sentiment-data-science.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

  • Where AI is already rivaling humans

    Since 2011, AI hit hypergrowth, and researchers have created several AI solutions that are almost as good as – or better than – humans in several domains, including games, healthcare, computer vision and object recognition, speech to text conversion, speaker recognition, and improved robots and chat-bots for solving specific problems.

    https://www.kdnuggets.com/2018/02/domains-ai-rivaling-humans.html

  • The Birth of AI and The First AI Hype Cycle

    A dazzling review of AI History, from Alan Turing and Turing Test, to Simon and Newell and Logic Theorist, to Marvin Minsky and Perceptron, birth of Rule-based systems and Machine Learning, Eliza - first chatbot, Robotics, and the bust which led to first AI Winter.

    https://www.kdnuggets.com/2018/02/birth-ai-first-hype-cycle.html

  • What Artificial Intelligence and Machine Learning Can Do—And What It Can’t">Gold Blog, Aug 2017What Artificial Intelligence and Machine Learning Can Do—And What It Can’t

    I have seen situations where AI (or at least machine learning) had an incredible impact on a business—I also have seen situations where this was not the case. So, what was the difference?

    https://www.kdnuggets.com/2017/08/rapidminer-ai-machine-learning-can-do.html

  • AI and Deep Learning, Explained Simply">Silver Blog, July 2017AI 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

  • Spotlight on the Remarkable Potential of AI in KYC (Know Your Customer)

    Most people would have heard of the headline-making tremendous achievements in artificial intelligence (AI): Systems defeating world champions in board games like GO and winning quiz shows. These are small realizations of AI, but there is a silent revolution taking place in other areas, including Regulatory Compliance in Financial Services.

    https://www.kdnuggets.com/2017/07/spotlight-remarkable-potential-ai-kyc.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

  • Gartner Data Science Platforms – A Deeper Look

    Thomas Dinsmore critical examination of Gartner 2017 MQ of Data Science Platforms, including vendors who out, in, have big changes, Hadoop and Spark integration, open source software, and what Data Scientists actually use.

    https://www.kdnuggets.com/2017/03/thomaswdinsmore-gartner-data-science-platforms.html

  • Artificial Intelligence and Speech Recognition for Chatbots: A Primer

    Bot bots bots... Read this overview of how artificial intelligence and natural language processing are contributing to chatbot development, and where it all goes from here.

    https://www.kdnuggets.com/2017/01/artificial-intelligence-speech-recognition-chatbots-primer.html

  • 6 areas of AI and Machine Learning to watch closely">Gold Blog6 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

  • Machine Learning Trends and the Future of Artificial Intelligence

    The confluence of data flywheels, the algorithm economy, and cloud-hosted intelligence means every company can now be a data company, every company can now access algorithmic intelligence, and every app can now be an intelligent app.

    https://www.kdnuggets.com/2016/06/machine-learning-trends-future-ai.html

  • What is Your Data Worth? On LinkedIn, Microsoft, and the Value of User Data

    The recent announcement of Microsoft’s acquisition of LinkedIn has raised many questions about how Microsoft will monetize this data. We examine LinkedIn value per user and compare to Google, Facebook, Yahoo, and Twitter.

    https://www.kdnuggets.com/2016/06/walker-linkedin-microsoft-value-user-data.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

  • Big Data Monetization Lessons from Zillow

    In the current tsunami of “Big Data” every business wants to get value out of the data. Here, we are sharing lessons learned by the new real estate websites who have brought together Big Data sets, home buyers, and home sellers.

    https://www.kdnuggets.com/2015/09/big-data-monetization-lessons-from-zillow.html+

  • How Long Should You Stay at Your Analytics Job?

    Considering the huge demand for the data scientists many are pondering to switch for a better profile and salary. But, there some things to be pondered about like what should be the interval between two switches, acquiring new skills and your loyalty.

    https://www.kdnuggets.com/2015/08/how-long-stay-analytics-job.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

  • Exclusive: Tamr at the New Frontier of Big Data Curation

    Our exclusive profile of Tamr (former Data Tamer), the latest startup from legendary Michael Stonebraker, which emerged from stealth mode to address the new field of Big Data Curation.

    https://www.kdnuggets.com/2014/05/tamr-new-frontier-big-data-curation.html

  • Stock Analysis and Prediction Solutions

    Alyuda NeuroSignal XL, neural network Excel add-in for stock predictions and trading systems testing. BioComp Profit Neural Network, reports 150-200% returns trading the S&P500/E-Mini. DeepInsight, Read more »

    https://www.kdnuggets.com/solutions/stocks.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

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    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

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

    All (116) | News, Software (28) | Courses, Events (23) | Jobs | Academic | Publications (36) LIONbook Chapter 15: Dimensionality reduction - Nov 28, Read more »

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

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    Features (8) | Software (3) | Webcasts (2) | Courses, Events (4) | Meetings (3) | Jobs (10) | Academic (3) | Competitions (1) | Publications Read more »

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    https://www.kdnuggets.com/2013/n20.html

  • Data Mining / Analytic News, Aug 2013

    News, Software (33) | Courses, Events (28) | Jobs | Academic | Publications (31) Top Languages for analytics, data mining, data science - Aug 27, Read more »

    https://www.kdnuggets.com/2013/08/index.html

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    Features (9) | Software (5) | Webcasts (1) | Courses, Events (2) | Meetings (1) | Jobs (6) | Academic (4) | Competitions (3) | Publications Read more »

    https://www.kdnuggets.com/2013/n08.html

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    Features (10) | Software (4) | Courses, Events (2) | Webcasts (3) | Jobs (12) | Academic (5) | Competitions (4) | Publications (12) | NewsBriefs Read more »

    https://www.kdnuggets.com/2013/n02.html

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