Search results for Incident Response

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  • 7 of The Coolest Machine Learning Topics of 2021 at ODSC West

    At our upcoming event this November 16th-18th in San Francisco, ODSC West 2021 will feature a plethora of talks, workshops, and training sessions on machine learning topics, deep learning, NLP, MLOps, and so on. You can register now for 20% off all ticket types, or register for a free AI Expo Pass to see what some big names in AI are doing now.

    https://www.kdnuggets.com/2021/11/odsc-7-coolest-machine-learning-topics.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

  • 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

  • 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

  • Fundamentals Of Statistics For Data Scientists and Analysts

    Key statistical concepts for your data science or data analysis journey.

    https://www.kdnuggets.com/2023/08/fundamentals-statistics-data-scientists-analysts.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

  • Always Learning: How AI Prevents Data Breaches

    This article discusses the use of Artificial Intelligence to prevent data breaches. It discusses how AI can be used to detect malicious activity and identify patterns in data that can be flagged, which can help security teams take action to mitigate threats.

    https://www.kdnuggets.com/2023/07/always-learning-ai-prevents-data-breaches.html

  • Coding Ethics for AI & AIOps: Designing Responsible AI Systems

    AI ops has taken Human machine collaboration to the next level where humans and machines are not just coexisting but are collaborating and working together like team members.

    https://www.kdnuggets.com/2021/08/coding-ethics-ai-aiops-designing-responsible-ai-systems.html

  • The Difficulty of Graph Anonymisation

    Lessons from network science and the difficulty of graph anonymization. A data scientist's take on the difficultly of striking a balance between privacy and utility in anonymizing connected data.

    https://www.kdnuggets.com/2021/02/difficulty-graph-anonymisation.html

  • 8 New Tools I Learned as a Data Scientist in 2020

    The author shares the data science tools learned while making the move from Docker to Live Deployments.

    https://www.kdnuggets.com/2021/01/8-new-tools-learned-data-scientist-2020.html

  • How Machine Learning Works for Social Good

    We often discuss applying data science and machine learning techniques in term so of how they help your organization or business goals. But, these algorithms aren't limited to only increasing the bottom line. Developing new applications that leverage the predictive power of AI to benefit society and those communities in need is an equally valuable endeavor for Data Scientists that will further expand the positive impact of machine learning to the world.

    https://www.kdnuggets.com/2020/11/machine-learning-social-good.html

  • Best Free Epidemiology Courses for Data Scientists">Silver BlogBest Free Epidemiology Courses for Data Scientists

    Are you interested in knowing more about epidemiology, the field which studies the spread and distribution of diseases? This article collects some free courses which are intended to help you do just that.

    https://www.kdnuggets.com/2020/04/epidemiology-data-scientists.html

  • Introduction to Geographical Time Series Prediction with Crime Data in R, SQL, and Tableau

    When reviewing geographical data, it can be difficult to prepare the data for an analysis. This article helps by covering importing data into a SQL Server database; cleansing and grouping data into a map grid; adding time data points to the set of grid data and filling in the gaps where no crimes occurred; importing the data into R; running XGBoost model to determine where crimes will occur on a specific day

    https://www.kdnuggets.com/2020/02/introduction-geographical-time-series-crime-r-sql-tableau.html

  • How Data Analytics Can Assist in Fraud Detection

    A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how to spot anomalies.

    https://www.kdnuggets.com/2019/11/data-analytics-assist-fraud-detection.html

  • Beyond Word Embedding: Key Ideas in Document Embedding

    This literature review on document embedding techniques thoroughly covers the many ways practitioners develop rich vector representations of text -- from single sentences to entire books.

    https://www.kdnuggets.com/2019/10/beyond-word-embedding-document-embedding.html

  • A Case For Explainable AI & Machine Learning

    In support of the explainable AI cause, we present a variety of use cases covering operational needs, regulatory compliance and public trust and social acceptance.

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

  • Top 10 Technology Trends of 2018">Gold BlogTop 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

  • Using Deep Learning to Solve Real World Problems">Gold BlogUsing Deep Learning to Solve Real World Problems

    Do you assume that deep learning is only being used for toy problems and in self-learning scenarios? This post includes several firsthand accounts of organizations using deep neural networks to solve real world problems.

    https://www.kdnuggets.com/2017/12/using-deep-learning-solve-real-world-problems.html

  • AI & Machine Learning Black Boxes: The Need for Transparency and Accountability

    When something goes wrong, as it inevitably does, it can be a daunting task discovering the behavior that caused an event that is locked away inside a black box where discoverability is virtually impossible.

    https://www.kdnuggets.com/2017/04/ai-machine-learning-black-boxes-transparency-accountability.html

  • Understanding Rare Events and Anomalies: Why streaks patterns change

    We often look back at the past year and an overall history of rare events, and try to then extrapolate future odds of the same rare event, based on that. We illustrate here, that rare past events have no usefulness in understanding the rarity of the same events in the future!

    https://www.kdnuggets.com/2016/01/understanding-rare-events-anomalies-patterns-change.html

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