Search results for Risk Management

Found 313 documents, 5922 searched:

• Risk Management Framework for AI/ML Models

  How sound risk management acts as a catalyst to building successful AI/ML models.

  https://www.kdnuggets.com/2022/03/risk-management-framework-aiml-models.html

• Data Analytics Models in Quantitative Finance and Risk Management

  We review how key data science algorithms, such as regression, feature selection, and Monte Carlo, are used in financial instrument pricing and risk management.

  https://www.kdnuggets.com/2016/12/data-analytics-models-quantitative-finance-risk-management.html

• The Top 8 Cloud Container Management Solutions of 2024

  As enterprises rapidly adopt cloud-native technologies, managing containerized applications has become crucial, so this article provides practical insights on the leading container management solutions to help organizations choose the right one for their needs.

  https://www.kdnuggets.com/the-top-8-cloud-container-management-solutions-of-2024

• Introduction to Giskard: Open-Source Quality Management for AI Models

  To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system.

  https://www.kdnuggets.com/2023/11/giskard-introduction-giskard-opensource-quality-management-ai-models

• Data Management Principles for Data Science

  Back to Basics: Understanding key data management principles that data scientists should know.

  https://www.kdnuggets.com/data-management-principles-for-data-science

• 2024 Data Management Crystal Ball: Top 4 Emerging Trends

  These are my predictions based on my personal experiences, recent research and reports from leading platforms.

  https://www.kdnuggets.com/2023/08/2024-data-management-crystal-ball-top-4-emerging-trends.html

• 5 Data Management Challenges with Solutions

  This report provides an overview of the challenges that arise in data management and the solutions that can help overcome these challenges.

  https://www.kdnuggets.com/2023/04/5-data-management-challenges-solutions.html

• How Watermarking Can Help Mitigate The Potential Risks Of LLMs?

  Adding embedding signals into generated text can help mitigate potential risks of plagiarism, misinformation, and abuse in large language models.

  https://www.kdnuggets.com/2023/03/watermarking-help-mitigate-potential-risks-llms.html

• 5 Ways To Use AI For Supply Chain Management

  Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.

  https://www.kdnuggets.com/2022/02/5-ways-ai-supply-chain-management.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

• YouTube videos on database management, SQL, Datawarehousing, Business Intelligence, OLAP, Big Data, NoSQL databases, data quality, data governance and Analytics – free

  Watch over 20 hours of YouTube videos on databases and database design, Physical Data Storage, Transaction Management and Database Access, and Data Warehousing, Data Governance and (Big) Data Analytics - all free.

  https://www.kdnuggets.com/2018/05/baesens-youtube-videos-database-management-sql-big-data-analytics-free.html

• Comet.ml – Machine Learning Experiment Management

  This article presents comet.ml – a platform that allows tracking machine learning experiments with an emphasis on collaboration and knowledge sharing.

  https://www.kdnuggets.com/2018/04/comet-ml-machine-learning-experiment-management.html

• New Book: Credit risk analytics, The R Companion

  Credit risk analytics in R will enable you to build credit risk models from start to finish, with access to real credit data on accompanying website, you will master a wide range of applications.

  https://www.kdnuggets.com/2018/03/baesens-book-credit-risk-analytics-r.html

• E-learning courses on Advanced Analytics, Credit Risk Modeling, and Fraud Analytics

  These online courses, developed by Prof. Bart Baesens and SAS, include videos, case studies, quizzes, and focus on focusses on the concepts and modeling methodologies and not on specific software.

  https://www.kdnuggets.com/2017/04/sas-elearning-advanced-analytics-credit-risk-modeling-fraud.html

• Streamlining Analytic Deployment: Inside the FICO Decision Management Suite 2.0

  This post explains what’s new in the 2.0 version of the FICO Decision Management Suite, and how it can be used by data scientists and others to create stronger customer relationships and provide strategic competitive advantage.

  https://www.kdnuggets.com/2016/07/fico-analytic-deployment-decision-management-suite-20.html

• Advantages and Risks of Self-Service Analytics

  Self-service analytics is likely to spread in all the business layers, and with proper care to avoid certain risks, the culture of self-service analytics will help all organizations.

  https://www.kdnuggets.com/2016/04/advantages-risks-self-service-analytics.html

• Learning from Hurricanes: Big Data Analytics, Risk, & Data Visualization

  This year, Florida has experienced its 10th consecutive year without a hurricane, which is longest period without a hurricane strike in modern times. Exploring this is worthy of some examination, as it offers us many lessons in Big Data Analytics, Risk, and Data Visualization.

  https://www.kdnuggets.com/2015/12/walker-hurricanes-big-data-analytics-risk-visualization.html

• Risk Analysis and Credit Scoring

  Algolytics, offers analytical solutions for financial institutions, including Credit Scoring, Fraud Detection, and Survival Time Analysis. ArrowModel, an integrated scoring environment, which combines powerful statistical Read more »

  https://www.kdnuggets.com/solutions/risk-analysis-credit-scoring.html

• Want to Use Your Data Skills to Solve Global Problems? Here’s What You Need to Know

  Global risk management is an arena where data brings order to an unpredictable world. Johns Hopkins University’s part-time Master of Arts in Global Risk (online) takes just 18 to 21 months to complete. This multidisciplinary program helps professionals develop the skills to make forward-looking decisions that contribute to risk management.

  https://www.kdnuggets.com/2022/04/jhu-want-data-skills-solve-global-problems.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

• The Psychology of Data Visualization: How to Present Data that Persuades

  This article discusses the psychology of data visualization, including the principles and techniques that underpin the creation of persuasive and effective visuals.

  https://www.kdnuggets.com/the-psychology-of-data-visualization-how-to-present-data-that-persuades

• Navigating Data Science Job Titles: Data Analyst vs. Data Scientist vs. Data Engineer

  No, they’re not the same jobs! Learn what responsibilities, skills, and tools used make them different. Then, choose the right career path for you.

  https://www.kdnuggets.com/navigating-data-science-job-titles-data-analyst-vs-data-scientist-vs-data-engineer

• Data Science Methods Drive Business Success

  Northwestern University's MSDS students seeking technology leadership and management positions can build not only high-level statistical and analytical expertise, but also the broad organizational skills needed to implement reliable, data-driven decisions.

  https://www.kdnuggets.com/2023/10/nwu-data-science-methods-drive-business-success

• Data Visualization: Presenting Complex Information Effectively

  Learn how to present complex information effectively with data visualization.

  https://www.kdnuggets.com/data-visualization-presenting-complex-information-effectively

• 5 Skills All Marketing Analytics and Data Science Pros Need Today

  Join us at the MADS conference in Washington, D.C., from Sept. 26 to 28, 2023. Learn more below and register with code KDN100 for $100 off your conference pass.

  https://www.kdnuggets.com/2023/08/mads-5-skills-marketing-analytics-data-science-pros-need-today.html

• Data Validation for PySpark Applications using Pandera

  New features and concepts.

  https://www.kdnuggets.com/2023/08/data-validation-pyspark-applications-pandera.html

• Things You Should Know When Scaling Your Web Data-Driven Product

  Scaling your data-driven product helps grow your business, but it requires certain expertise. In this article, you will learn how scaling works and what to keep in mind while doing it.

  https://www.kdnuggets.com/2023/08/things-know-scaling-web-datadriven-product.html

• Be prepared to manage the threat with an MS in Cybersecurity from Bay Path University

  Bay Path’s Master’s in Cybersecurity prepares students to step into the workforce and assume immediate responsibility for the management and oversight of such systems.

  https://www.kdnuggets.com/2022/12/baypath-prepared-manage-threat-ms-cybersecurity.html

• Machine Learning in the Enterprise: Use Cases & Challenges

  This article provides insights into how leading data scientists are embracing machine learning in their organizations and covers some of the major ML challenges and trends in the enterprise.

  https://www.kdnuggets.com/2022/08/dss-machine-learning-enterprise-cases-challenges.html

• Full Stack Everything? Organizational Intersections Between Data Science, Dev & Tech

  Breakthrough value is found when teams collaborate at their intersections to come up with innovative solutions.

  https://www.kdnuggets.com/2022/08/full-stack-everything-organizational-intersections-data-science-dev-tech.html

• How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services

  Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.

  https://www.kdnuggets.com/2022/07/ml-model-explainability-accelerates-ai-adoption-journey-financial-services.html

• Be prepared to manage the threat with an MS in Cybersecurity from Bay Path University

  Bay Path’s Master’s in Cybersecurity prepares students to step into the workforce and assume immediate responsibility for the management and oversight of such systems.

  https://www.kdnuggets.com/2022/07/baypath-prepared-manage-threat-ms-cybersecurity.html

• 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem

  Trying to anticipate and defend against these failures is the constant uphill battle that today’s engineers are up against. But it doesn’t have to be.

  https://www.kdnuggets.com/2022/07/90-today-code-written-prevent-failure-problem.html

• The Complete Collection of Data Science Books – Part 2

  Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

• KDnuggets News March 30: The Most Popular Intro to Programming Course From Harvard is Free!; Top 13 Skills That Every Data Scientist Should Have

  The Most Popular Intro to Programming Course From Harvard is Free!; Top 13 Skills That Every Data Scientist Should Have; Junior vs Senior Data Scientist Salary: What’s the Difference?; MLOps Is a Mess But That's to be Expected; Data Science at the Command Line: The Free eBook

  https://www.kdnuggets.com/2022/n13.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 Does a Data Scientist Do?

  This guide provides you with the best possible, most direct, and clear answers to "What is data science?" and "What does a data scientist do?".

  https://www.kdnuggets.com/2021/12/what-does-a-data-scientist-do.html

• A Guide to 14 Different Data Science Jobs">A Guide to 14 Different Data Science Jobs

  The field of data science is growing into one that features a variety of job titles This guide reviews different positions available for you to consider if you have a data science background.

  https://www.kdnuggets.com/2021/10/guide-14-different-data-science-jobs.html

• 9 Outstanding Reasons to Learn Python for Finance

  Is Python good for learning finance and working in the financial world? The answer is not only a resounding YES, but yes for nine very good reasons. This article gets into the details behind why Python is a must-know programming language for anyone who wants to work in the financial sector.

  https://www.kdnuggets.com/2021/09/9-outstanding-reasons-learn-python-finance.html

• Enhancing Machine Learning Personalization through Variety

  Personalization drives growth and is a touchstone of good customer experience. Personalization driven through machine learning can enable companies to improve this experience while improving ROI for marketing campaigns. However, challenges exist in these techniques for when personalization makes sense and how and when specific options are recommended.

  https://www.kdnuggets.com/2021/08/machine-learning-personalization-variety.html

• Including ModelOps in your AI strategy

  The strategic power of AI has been established thoroughly across many industries and companies, leading to surges in model creation. Investments in the people, processes, and tools for operationalizing models, referred to as ModelOps, lag. This function of operationalizing, integrating, and deploying AI models in line with businesses value expectations is growing into a core business capability as global use of AI matures.

  https://www.kdnuggets.com/2021/08/modelops-ai-strategy.html

• MLOps Best Practices

  Many technical challenges must be overcome to achieve successful delivery of machine learning solutions at scale. This article shares best practices we encountered while architecting and applying a model deployment platform within a large organization, including required functionality, the recommendation for a scalable deployment pattern, and techniques for testing and performance tuning models to maximize platform throughput.

  https://www.kdnuggets.com/2021/07/mlops-best-practices.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

• Build an Effective Data Analytics Team and Project Ecosystem for Success

  Apply these techniques to create a data analytics program that delivers solutions that delight end-users and meet their needs.

  https://www.kdnuggets.com/2021/04/build-effective-data-analytics-team-project-ecosystem-success.html

• 10 Steps for Tackling Data Privacy and Security Laws in 2020

  Data privacy laws, such as the CCPA, GDPR, and HIPAA, are here to stay and significantly impact everyone in the digital era. These steps will guide organizations to prepare for compliance and ensure they support the fundamental privacy rights of their customers and users.

  https://www.kdnuggets.com/2020/07/10-steps-data-privacy-security-laws.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

• Free Economics & Finance Courses for Data Scientists

  Here is a selection of courses for those interested in diversifying their domain knowledge into the related realms of economics and finance, with the goal of being able to apply your data science skills to these domains.

  https://www.kdnuggets.com/2020/06/free-economics-finance-courses-data-scientists.html

• 50 Must-Read Free Books For Every Data Scientist in 2020">50 Must-Read Free Books For Every Data Scientist in 2020

  In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.

  https://www.kdnuggets.com/2020/03/50-must-read-free-books-every-data-scientist-2020.html

• The Future of Careers in Data Science & Analysis">The Future of Careers in Data Science & Analysis

  As the fields of data science and analysis continue to expand, the next crop of bright minds is always needed. Learn more about the nuances of these jobs and find where you can fit in for a rewarding and interesting career.

  https://www.kdnuggets.com/2019/11/future-careers-data-science-analysis.html

• How to Build Your Own Logistic Regression Model in Python

  A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.

  https://www.kdnuggets.com/2019/10/build-logistic-regression-model-python.html

• Top 8 Data Science Use Cases in Construction

  This article considers several of the most efficient and productive data science use cases in the construction industry.

  https://www.kdnuggets.com/2019/07/top-8-data-science-use-cases-construction.html

• Five Ways Your Safety Depends on Machine Learning

  Eric Siegel tells you about five ways your safety depends on machine learning, which actively protects you from all sorts of dangers, including fires, explosions, collapses, crashes, workplace accidents, restaurant E. coli, and crime.

  https://www.kdnuggets.com/2019/02/dr-data-five-ways-safety-depends-machine-learning.html

• How will automation tools change data science?

  This article provides an overview of recent trends in machine learning and data science automation tools and addresses how those tools will change data science.

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

• Four Approaches to Explaining AI and Machine Learning

  We discuss several explainability techniques being championed today, including LOCO (leave one column out), permutation impact, and LIME (local interpretable model-agnostic explanations).

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

• OLAP queries in SQL: A Refresher

  Based on the recent book - Principles of Database Management - The Practical Guide to Storing, Managing and Analyzing Big and Small Data - this post examines how OLAP queries can be implemented in SQL.

  https://www.kdnuggets.com/2018/09/olap-queries-sql-refresher.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

• Operational Machine Learning: Seven Considerations for Successful MLOps

  In this article, we describe seven key areas to take into account for successful operationalization and lifecycle management (MLOps) of your ML initiatives

  https://www.kdnuggets.com/2018/04/operational-machine-learning-successful-mlops.html

• What Is Data Science, and What Does a Data Scientist Do?">What Is Data Science, and What Does a Data Scientist Do?

  This article is intended to help define the data scientist role, including typical skills, qualifications, education, experience, and responsibilities. This definition is somewhat loose, and given that the ideal experience and skill set is relatively rare to find in one individual.

  https://www.kdnuggets.com/2017/03/data-science-data-scientist-do.html

• New e-learning course: Fraud Analytics using Descriptive, Predictive and Social Network Analytics

  This online course teaches how to find fraud patterns from historical data using descriptive analytics, and social network learning.

  https://www.kdnuggets.com/2017/01/sas-elearning-course-fraud-analytics-social-network-analytics.html

• 10 Algorithm Categories for AI, Big Data, and Data Science

  With a focus on leveraging algorithms and balancing human and AI capital, here are the top 10 algorithm categories used to implement A.I., Big Data, and Data Science.

  https://www.kdnuggets.com/2016/07/10-algorithm-categories-data-science.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

• KDnuggets™ News 14:n35, Dec 29

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

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

• 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

• Hiring Data Scientists: What to look for?

  Know key characteristics of what makes up a good data scientist based upon the three authors’ consulting and research experience, having collaborated with many companies world-wide on the topics of big data and analytics.

  https://www.kdnuggets.com/2014/09/hiring-data-scientist-what-to-look-for.html

• Evolution of Fraud Analytics – An Inside Story

  The amazing analytic innovations in payment fraud prevention can be grouped into three major categories: large data-set modeling, sparse data-set modeling, and false-positive reductions - a view from the inside.

  https://www.kdnuggets.com/2014/03/evolution-fraud-analytics-inside-story.html

• 10 Most Influential Analytics Leaders in India

  Analytics India Magazine’s annual ranking of the 10 Most Influential Analytics Leaders in India, in terms of Impact, Leadership, Entrepreneurship and Analytics evangelism.

  https://www.kdnuggets.com/2014/02/10-most-influential-analytics-leaders-india.html

• Real-Time Decisioning Solutions

  Angoss KnowledgeSERVER® provides risk management organizations with the ability to deploy predictive models, scores and rules into their production environments. Island Data - Insight RT™, Read more »

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

• 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

• 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:n28, Nov 20

  Features (7) | Software (1) | Webcasts (1) | Jobs (6) | Academic (2) | Competitions (2) | Publications (5) | Tweets (3) | NewsBriefs Read more »

  https://www.kdnuggets.com/2013/n28.html

• KDnuggets™ News 13:n26, Oct 30

  Features (8) | Software (2) | Webcasts (2) | Courses, Events (3) | Meetings (3) | Jobs (6) | Academic (2) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n26.html

• KDnuggets™ News 13:n18, Jul 31

  Features (8) | Software (4) | Webcasts (2) | Courses, Events (5) | Meetings (1) | Jobs (14) | Academic (2) | Competitions (2) | Publications Read more »

  https://www.kdnuggets.com/2013/n18.html

• Companies with Analytics, Data Mining, Data Science, and Machine Learning Products

  A B C D E F G H I J K L M N O P Q R S T U V W XYZ Advanced Read more »

  https://www.kdnuggets.com/companies/products.html

• Consulting Companies in AI, Analytics, Data Science, and Machine Learning

  A B C D E F G H I J K L M N O P Q R S T U V W XYZ 4i, Read more »

  https://www.kdnuggets.com/companies/consulting.html

• KDnuggets™ News 13:n10, Apr 17

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

  https://www.kdnuggets.com/2013/n10.html

• KDnuggets™ News 13:n06, Mar 7

  Features (7) | Software (1) | Webcasts (2) | Courses, Events (2) | Meetings (2) | Jobs (5) | Academic (2) | Competitions (3) | Publications Read more »

  https://www.kdnuggets.com/2013/n06.html

• KDnuggets™ News 13:n01, Jan 15

  Features (11) | Software (2) | Courses, Events (2) | Webcasts (3) | Jobs (11) | Competitions (3) | Publications (10) | NewsBriefs (4) | CFP Read more »

  https://www.kdnuggets.com/2013/n01.html

• Popular Google Certification for All Areas in the Tech Industry

  Want to get into the tech industry but don’t want to learn how to code?

  https://www.kdnuggets.com/popular-google-certification-for-all-areas-in-the-tech-industry

• Exploring the Potential of Transfer Learning in Small Data Scenarios

  This article has shown how transfer learning can be used to help you solve small data problems, while also highlighting the benefits of using it in other fields.

  https://www.kdnuggets.com/exploring-the-potential-of-transfer-learning-in-small-data-scenarios

• What Is Data Lineage, And Why Does It Matter?

  If you’ve ever had conversations with data professionals, you’ve probably heard “data lineage” pop up quite a few times. So what is data lineage all about, and why is it important?

  https://www.kdnuggets.com/what-is-data-lineage-and-why-does-it-matter

• A Data Lake, You Call It? It’s a Data Swamp

  How and why the data lake architecture often fails to meet its promises. And how better governance helps mitigate such challenges.

  https://www.kdnuggets.com/a-data-lake-you-call-it-it-a-data-swamp

• 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 16 Technical Data Sources for Advanced Data Science Projects

  Here are data repositories that will up your data science game and improve your data projects.

  https://www.kdnuggets.com/top-16-technical-data-sources-for-advanced-data-science-projects

• 5 Ways of Converting Unstructured Data into Structured Insights with LLMs

  From Chaos to Clarity: Understanding the Unstructured Data Dilemma.

  https://www.kdnuggets.com/5-ways-of-converting-unstructured-data-into-structured-insights-with-llms

• 5 Rare Data Science Skills That Can Help You Get Employed

  This article is about the less common data science skills that can help you get hired. While these skills are not as common as they are for technical jobs, they are certainly worth developing.

  https://www.kdnuggets.com/5-rare-data-science-skills-that-can-help-you-get-employed

• Remote Work in Data Science: Pros and Cons

  In this post we explored the potential challenges and pitfalls of remote work in data science.

  https://www.kdnuggets.com/remote-work-in-data-science-pros-and-cons

• Job Trends in Data Analytics: Part 2

  Check out these skillsets in demand for the data analytics job market.

  https://www.kdnuggets.com/job-trends-in-data-analytics-part-2

• How Predictive Analytics is Revolutionizing Decision-Making in Tech

  Learn how predictive analytics work in a business environment.

  https://www.kdnuggets.com/how-predictive-analytics-is-revolutionizing-decisionmaking-in-tech

• 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

• 40% of Labour Force Will be Affected by AI in 3 Years

  What should we expect in the next 3 years due to the generative AI boom?

  https://www.kdnuggets.com/40-of-labour-force-will-be-affected-by-ai-in-3-years

• 7 Steps to Mastering Large Language Models (LLMs)

  Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

  https://www.kdnuggets.com/7-steps-to-mastering-large-language-models-llms

• Investing In AI? Here Is What To Consider

  Everything you need to know about investing in AI initiatives.

  https://www.kdnuggets.com/investing-in-ai-here-is-what-to-consider

• The Data Maturity Pyramid: From Reporting to a Proactive Intelligent Data Platform

  This article describes the data maturity pyramid and its various levels, from simple reporting to AI-ready data platforms. It emphasizes the importance of data for business and illustrates how data platforms serve as the driving force behind AI.

  https://www.kdnuggets.com/the-data-maturity-pyramid-from-reporting-to-a-proactive-intelligent-data-platform

• Gartner Hype Cycle for AI in 2023

  Let’s dive into how the AI landscape has rapidly evolved with the advent of new Generative AI technologies.

  https://www.kdnuggets.com/gartner-hype-cycle-for-ai-in-2023

• 5 Portfolio Projects for Final Year Data Science Students

  From cleaning data to wowing recruiters - this blog shares 5 killer data science projects to launch your data science career and get hired!

  https://www.kdnuggets.com/5-portfolio-projects-for-final-year-data-science-students

• 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

• Python Vector Databases and Vector Indexes: Architecting LLM Apps

  Vector databases enable fast similarity search and scale across data points. For LLM apps, vector indexes can simplify architecture over full vector databases by attaching vectors to existing storage. Choosing indexes vs databases depends on specialized needs, existing infrastructure, and broader enterprise requirements.

  https://www.kdnuggets.com/2023/08/python-vector-databases-vector-indexes-architecting-llm-apps.html

• A Comprehensive Guide to MLOps

  Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

  https://www.kdnuggets.com/2023/08/comprehensive-guide-mlops.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

• Multivariate Time-Series Prediction with BQML

  Google's BQML can be used to make time series models, and recently it was updated to create multivariate time series models. With the simple code, this article shows how to use it to predict multivariate time series and it can be more powerful than a univariate time series model in this article.

  https://www.kdnuggets.com/2023/07/multivariate-timeseries-prediction-bqml.html

• Introduction to Data Science: A Beginner’s Guide

  This article is a guide for new data scientists, and it's designed to help you get started quickly. It's meant to be a starting point, but if you're already in the market for a new job, you may want to read this article more.

  https://www.kdnuggets.com/2023/07/introduction-data-science-beginner-guide.html

• What is Superalignment & Why It is Important?

  Addressing the potential risks associated with superintelligence systems.

  https://www.kdnuggets.com/2023/07/superalignment-important.html

• ChatGPT Dethroned: How Claude Became the New AI Leader

  Putting the world to shame.

  https://www.kdnuggets.com/2023/07/chatgpt-dethroned-claude-became-new-ai-leader.html

• Evolution of the Data Landscape

  The article follows the story of evolution in the data space through the lens of evolutionary patterns. It talks of the state of significant milestones in the evolutionary journey, their achievements, challenges, and the next milestone that solved those challenges. The article comes from both a business and technical perspective, owing to the persona of the authors.

  https://www.kdnuggets.com/2023/06/evolution-data-landscape.html

• 7 Ways ChatGPT Makes You Code Better and Faster

  From project planning to producing production-ready code, ChatGPT is your trusty companion throughout the entire development process, offering valuable assistance every step of the way.

  https://www.kdnuggets.com/2023/06/7-ways-chatgpt-makes-code-better-faster.html

• Stop Hard Coding in a Data Science Project – Use Config Files Instead

  How to efficiently interact with config files in Python.

  https://www.kdnuggets.com/2023/06/stop-hard-coding-data-science-project-config-files-instead.html

• Breaking Down AutoGPT

  AutoGPT has taken the world by storm and has even surpassed ChatGPT itself. So, get ready to dive into the exciting world of Auto-GPT.

  https://www.kdnuggets.com/2023/05/breaking-autogpt.html

• Data Masking: The Core of Ensuring GDPR and other Regulatory Compliance Strategies

  This article has provided an overview of data masking and its importance in ensuring compliance with GDPR and other global regulations.

  https://www.kdnuggets.com/2023/05/data-masking-core-ensuring-gdpr-regulatory-compliance-strategies.html

• From Data Analyst to Data Strategist: The Career Path for Making an Impact

  The transition from a data analyst to a data strategist with this guide on acquiring skills, building a portfolio, networking, and job search strategies.

  https://www.kdnuggets.com/2023/05/data-analyst-data-strategist-career-path-making-impact.html

• Data Analytics: The Four Approaches to Analyzing Data and How To Use Them Effectively

  You will learn about descriptive analytics, data warehousing, machine learning, and big data.

  https://www.kdnuggets.com/2023/04/data-analytics-four-approaches-analyzing-data-effectively.html

• 11 Best Practices of Cloud and Data Migration to AWS Cloud

  list of Best Practices compiled from our learnings during our migration journey to the AWS cloud.

  https://www.kdnuggets.com/2023/04/11-best-practices-cloud-data-migration-aws-cloud.html

• Post GPT-4: Answering Most Asked Questions About AI

  Is AI overhyped, or is there a valid reason to be afraid?

  https://www.kdnuggets.com/2023/04/post-gpt4-answering-asked-questions-ai.html

• Master the Power of Data Analytics: The Four Approaches to Analyzing Data

  Learn about descriptive analytics, data warehousing, machine learning, and big data.

  https://www.kdnuggets.com/2023/03/master-power-data-analytics-four-approaches-analyzing-data.html

• Top 5 Advantages That CatBoost ML Brings to Your Data to Make it Purr

  This article outlines the advantages of CatBoost as a GBDTs for interpreting data sources that are highly categorical or contain missing data points.

  https://www.kdnuggets.com/2023/02/top-5-advantages-catboost-ml-brings-data-make-purr.html

• How to Implement a Federated Learning Project with Healthcare Data

  Learn about Federated Learning and how you can use it in the healthcare sector.

  https://www.kdnuggets.com/2023/02/implement-federated-learning-project-healthcare-data.html

• 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1

  Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

  https://www.kdnuggets.com/2023/01/20-questions-detect-fake-data-scientists-chatgpt-1.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

• Why TinyML Cases Are Becoming Popular?

  This article will provide an overview of what TinyML is, its use cases, and why it is becoming more popular.

  https://www.kdnuggets.com/2022/10/tinyml-cases-becoming-popular.html

• The Machine Learning Lifecycle

  Learn about the standard process for building sustainable machine learning applications.

  https://www.kdnuggets.com/2022/06/making-sense-crispmlq-machine-learning-lifecycle-process.html

• 7 Machine Learning Portfolio Projects to Boost the Resume

  Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.

  https://www.kdnuggets.com/2022/09/7-machine-learning-portfolio-projects-boost-resume.html

• Why Organizations Need Data Warehouses

  So where can you store, harness and collect findings in your data - in one place? What is the right tool for this? Data Warehouses

  https://www.kdnuggets.com/2022/09/organizations-need-data-warehouses.html

• Machine Learning Metadata Store

  In this article, we will learn about metadata stores, the need for them, their components, and metadata store management.

  https://www.kdnuggets.com/2022/08/machine-learning-metadata-store.html

• How to Package and Distribute Machine Learning Models with MLFlow

  MLFlow is a tool to manage the end-to-end lifecycle of a Machine Learning model. Likewise, the installation and configuration of an MLFlow service is addressed and examples are added on how to generate and share projects with MLFlow.

  https://www.kdnuggets.com/2022/08/package-distribute-machine-learning-models-mlflow.html

• 6 Ways Businesses Can Benefit From Machine Learning

  Machine learning is gaining popularity rapidly in the business world. Discover the ways that your business can benefit from machine learning.

  https://www.kdnuggets.com/2022/08/6-ways-businesses-benefit-machine-learning.html

• Where Does Data Come From?

  In this article, we will go over the top five ways to collect or receive data, whether to help optimize an AI-driven machine or simply forecast future consumer demand.

  https://www.kdnuggets.com/2022/08/data-come.html

• MLOps: The Key To Pushing AI Into The Mainstream

  In this blog, we will aim at discussing the reasons that make MLOps an essential aspect of pushing AI mainstream. Besides, we will highlight the capabilities of MLOps as a catalyst for AI implementation.

  https://www.kdnuggets.com/2022/07/mlops-key-pushing-ai-mainstream.html

• The Complete Collection of Data Science Interviews – Part 2

  The second part covers the list of Data Management, Data Engineering, Machine Learning, Deep Learning, Natural Language Processing, MLOps, Cloud Computing, and AI Manager interview questions.

  https://www.kdnuggets.com/2022/06/complete-collection-data-science-interviews-part-2.html

• Top 15 Books to Master Data Strategy

  In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

  https://www.kdnuggets.com/2022/06/top-15-books-master-data-strategy.html

• How is Data Mining Different from Machine Learning?

  How about we take a closer look at data mining and machine learning so we know how to catch their different ends?

  https://www.kdnuggets.com/2022/06/data-mining-different-machine-learning.html