Search results for Business Innovation

    Found 403 documents, 5934 searched:

  • Learn Data Science and Business Analytics to Drive Innovation and Growth

    This article provides an overview of data science and business analytics. It also provides a brief introduction to the importance of these topics for your business.

    https://www.kdnuggets.com/2023/08/learn-data-science-business-analytics-drive-innovation-growth.html

  • Data Maturity: The Cornerstone of AI-Enabled Innovation

    This article outlines strategies for overcoming data maturity challenges and accelerating AI adoption.

    https://www.kdnuggets.com/data-maturity-the-cornerstone-of-ai-enabled-innovation

  • AI + No-Code: The Viral Combo Redefining Developer Innovation

    Time is the one thing developers can never get back. The author, discusses the value of low code/no code platforms backed by AI in promoting faster development times and increased business agility.

    https://www.kdnuggets.com/ai-no-code-the-viral-combo-redefining-developer-innovation

  • How to Use Analytics to Accelerate Business Growth?

    Many organizations are establishing a Data Analytics team to reap the benefits of their key strategic asset i.e. data. The post explains how you can leverage the power of analytics to understand the end user and generate actionable insights.

    https://www.kdnuggets.com/2022/12/analytics-accelerate-business-growth.html

  • Driving Better Business Decisions

    Analytics-magazine.org and the monthly Analytics eNewsletter deliver the latest information on the impact and role analytics plays in business decision-making. Get in-depth knowledge on the trends that are shaping the future of advanced analytics, data science, AI, machine learning, operation research, and more.

    https://www.kdnuggets.com/2022/04/informs-driving-better-business-decisions.html

  • Cloud Storage Adoption is the Need of the Hour for Business

    The rush towards cloud storage means that the cloud has to offer a valuable proposition to businesses. Let’s explore why businesses regardless of their size should consider moving to the cloud.

    https://www.kdnuggets.com/2022/02/cloud-storage-adoption-need-hour-business.html

  • Transforming your business with SAS® Viya® on Microsoft Azure

    Faster, trusted decisions are in the cloud. See how you can use the flexibility, scalability and agility of modern technologies to advance your organization’s goals. Read our blog with 3-part video demo.

    https://www.kdnuggets.com/2021/10/sas-viya-microsoft-azure.html

  • Top Online Masters in Analytics, Business Analytics, Data Science – Updated">Gold BlogTop Online Masters in Analytics, Business Analytics, Data Science – Updated

    We provide an updated list of best online Masters in AI, Analytics, and Data Science, including rankings, tuition, and duration of the education program.

    https://www.kdnuggets.com/2020/09/best-online-masters-data-science-analytics-online.html

  • Best US/Canada Masters in Analytics, Business Analytics, Data Science

    In the final part of this series, we provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across the US and Canada.

    https://www.kdnuggets.com/2019/05/best-masters-data-science-analytics-us-canada.html

  • Doctor of Business Administration/Data Analytics, Online at Grand Canyon University

    Offered in a convenient online format, this doctoral program empowers expert data analysts to spark new industry-wide innovation.

    https://www.kdnuggets.com/2017/01/gcu-doctor-business-administration-data-analytics.html

  • Three Pitfalls to Avoid When Building Data Science Into Your Business

    An overview of pitfalls to avoid when building data science into your business, how to avoid them, and what to do instead.

    https://www.kdnuggets.com/2016/04/pitfalls-building-data-science-business.html

  • Businesses Will Need One Million Data Scientists by 2018

    Deepening shortage of Data Science talent and cybersecurity challenges are trends shaping business in 2016.

    https://www.kdnuggets.com/2016/01/businesses-need-one-million-data-scientists-2018.html

  • Data Science Skills and Business Problems

    Discover what skills a data scientist benefits from learning and how the concept of a data scientist, and what businesses expect of them, has developed over time.

    https://www.kdnuggets.com/2014/06/data-science-skills-business-problems.html

  • 7 Business Analytics Gurus to follow on Twitter

    Here are seven analytic pros offering commentary on business analytics and related topics on Twitter.

    https://www.kdnuggets.com/2013/01/7-business-analytics-gurus-to-follow-on-twitter.html

  • 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

  • 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

  • Tapping into the Potential of Data Products in 2023

    Learn how data can be treated as a product and how it can be used to derive value.

    https://www.kdnuggets.com/2023/01/tapping-potential-data-products-2023.html

  • Data Mesh Architecture: Reimagining Data Management

    The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

    https://www.kdnuggets.com/2022/05/data-mesh-architecture-reimagining-data-management.html

  • The Seven Best ELT Tools for Data Warehouses

    ELT helps to streamline the process of modern data warehousing and managing a business’ data. In this post, we’ll discuss some of the best ELT tools to help you clean and transfer important data to your data warehouse.

    https://www.kdnuggets.com/2021/12/mozart-seven-best-elt-tools-data-warehouses.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

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

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

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

  • Data Science: 4 Reasons Why Most Are Failing to Deliver

    Data Science: Some see billions in returns, but most are failing to deliver. This article explores some of the reasons why this is the case.

    https://www.kdnuggets.com/2018/05/data-science-4-reasons-failing-deliver.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

  • Integrating Generative AI in Content Creation

    Content creation can be tedious work and takes much of our time. With Generative AI, we can improve the quality and efficiency of our work.

    https://www.kdnuggets.com/integrating-generative-ai-in-content-creation

  • 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

  • Exploring the OpenAI API with Python

    Let’s learn all the useful services from the OpenAI.

    https://www.kdnuggets.com/exploring-the-openai-api-with-python

  • The AI Transformation Strategy in the GenAI Era

    Similar to the iterative nature of AI projects, AI strategy also requires continuous adjustments to bring successful AI transformation.

    https://www.kdnuggets.com/the-ai-transformation-strategy-in-the-genai-era

  • The Rise of Chief AI Officer

    The C-suite of business, technology, and data executives sees a new addition – the CAIO (Chief AI Officer). But what does this role mean for the organizations? Let’s find out!

    https://www.kdnuggets.com/the-rise-of-chief-ai-officer

  • The Promise of Edge AI and Approaches for Effective Adoption

    Organizations are adopting edge AI for real-time decision-making using efficient and cost-effective methods such as model quantization, multimodal databases, and distributed inferencing.

    https://www.kdnuggets.com/the-promise-of-edge-ai-and-approaches-for-effective-adoption

  • AI Con USA: Navigate the Future of AI

    AI Con USA is scheduled for June 2-7 in Las Vegas, and it's bringing together some of the brightest minds in the realm of artificial intelligence and machine learning.

    https://www.kdnuggets.com/2024/02/techwell-ai-con-usa-navigate-the-future-of-ai

  • Navigating the Data Revolution: Exploring the Booming Trends in Data Science and Machine Learning

    Dive into transformative trends in data science, encompassing AI-powered automation, NLP, ethical considerations, decentralized computing, and interdisciplinary collaboration.

    https://www.kdnuggets.com/navigating-the-data-revolution-exploring-the-booming-trends-in-data-science-and-machine-learning

  • Prompt Engineering: An Integrated Dream

    Clickbait headlines like "AI's Hottest Job" have promised a career that anyone who knows how to chat with AI could pay a six-figure salary with no computer background. But is this reality, or just another internet pipe dream? Let's ditch the sensationalism and delve into the actual job market data to find out.

    https://www.kdnuggets.com/prompt-engineering-an-integrated-dream

  • A Roadmap For Your Data Career

    As you design your career in data, you’ve got to avoid getting stuck in your comfort zone or allowing your manager or current situation to determine your path.

    https://www.kdnuggets.com/a-roadmap-for-your-data-career

  • 6 Reasons Why a Universal Semantic Layer is Beneficial to Your Data Stack

    Looking to understand the universal semantic layer and how it can improve your data stack? This GigaOm Sonor report on Semantic Layers can help you delve deeper.

    https://www.kdnuggets.com/2024/01/cube-6-reasons-why-a-universal-semantic-layer-is-beneficial

  • Breaking Down Quantum Computing: Implications for Data Science and AI

    This article has explored the impact of quantum computing on data science and AI. We will look at the fundamental concepts of quantum computing and the key terms that are used in the field. We will also cover the challenges that lie ahead for quantum computing and how they can be overcome.

    https://www.kdnuggets.com/breaking-down-quantum-computing-implications-for-data-science-and-ai

  • Talk Directly to Your Data Using Everyday Language

    DataGPT is a conversational AI data analytics software provider that delivers analysis at the speed of business questions. DataGPT empowers anyone, in any company, to talk directly to their data using everyday language, revealing expert answers to complex questions instantly.

    https://www.kdnuggets.com/2023/12/datagpt-talk-directly-data-everyday-language

  • Optimizing Data Analytics: Integrating GitHub Copilot in Databricks

    Integrating AI-powered pair programming tools for data analytics in Databricks optimizes and streamlines the development process, freeing up developer time for innovation.

    https://www.kdnuggets.com/optimizing-data-analytics-integrating-github-copilot-in-databricks

  • Back to Basics Week 2: Database, SQL, Data Management and Statistical Concepts

    Welcome back to Week 2 of KDnuggets’ "Back to Basics" series. This week, we delve into the vital world of Databases, SQL, Data Management, and Statistical Concepts in Data Science.

    https://www.kdnuggets.com/back-to-basics-week-2-database-sql-data-management-and-statistical-concepts

  • 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

  • Top 10 AI Startups to Work for in India

    Want to jumpstart your career in AI? Discover the top 10 trailblazing Indian startups that are reshaping industries with cutting-edge innovation and providing unparalleled opportunities to work on impactful projects.

    https://www.kdnuggets.com/top-10-ai-startups-to-work-for-in-india

  • Future-Proof Your Data Game: Top Skills Every Data Scientist Needs in 2023

    An overview of the most sought-after skills in 2023 based on the rise of generative AI.

    https://www.kdnuggets.com/futureproof-your-data-game-top-skills-every-data-scientist-needs-in-2023

  • Beyond Skynet: Crafting the Next Frontier in AI Evolution

    The article discusses the value of reliable data, democratizing access to valuable data insights, and consumer privacy’s impact on the competitive edge of big tech.

    https://www.kdnuggets.com/beyond-skynet-crafting-the-next-frontier-in-ai-evolution

  • Greening AI: 7 Strategies to Make Applications More Sustainable

    The article delves into a comprehensive methodology that sheds light on how to accurately estimate the carbon footprint associated with AI applications. It explains the environmental impact of AI, a crucial consideration in today's world.

    https://www.kdnuggets.com/greening-ai-7-strategies-to-make-applications-more-sustainable

  • 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

  • Introduction to Cloud Computing for Data Science

    And the Power Duo of Modern Tech.

    https://www.kdnuggets.com/introduction-to-cloud-computing-for-data-science

  • 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

  • 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

  • How Generative AI is disrupting data practices

    The release of Language Learning Model (LLM) ChatGPT by OpenAI in November of last year opened the floodgates leading to alternatives including Google Bard and Microsoft Bing and Gen AI has proved massively disruptive, with businesses seeking to explore how they can apply the technology.

    https://www.kdnuggets.com/2023/09/reed-generative-ai-disrupting-data-practices

  • Getting Started with SQL in 5 Steps

    This comprehensive SQL tutorial covers everything from setting up your SQL environment to mastering advanced concepts like joins, subqueries, and optimizing query performance. With step-by-step examples, this guide is perfect for beginners looking to enhance their data management skills.

    https://www.kdnuggets.com/5-steps-getting-started-with-sql

  • KDnuggets 30th Anniversary Interview with Founder Gregory Piatetsky-Shapiro

    Gregory Piatetsky-Shapiro founded KDnuggets 30 years ago, after organizing early workshops on knowledge discovery. In this retrospective interview, he reflects on KDnuggets' growth, key innovations like deep learning, and concerns about AI's societal impact.

    https://www.kdnuggets.com/30th-anniversary-interview-with-founder-gregory-piatetsky-shapiro

  • 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

  • KDnuggets News, August 30: 7 Projects Built with Generative AI • Beyond Numpy and Pandas: Lesser-Known Python Libraries

    7 Projects Built with Generative AI • Beyond Numpy and Pandas: Unlocking the Potential of Lesser-Known Python Libraries • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • GPT-4: 8 Models in One; The Secret is Out

    https://www.kdnuggets.com/2023/n31.html

  • An Excellent Resource To Learn The Foundations Of Everything Underneath ChatGPT

    In this article, you will learn the fundamentals of what constitutes the core of ChatGPT (and the Large Language Models).

    https://www.kdnuggets.com/023/08/excellent-resource-learn-foundations-everything-underneath-chatgpt.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

  • 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

  • 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

  • LGBMClassifier: A Getting Started Guide

    This tutorial explores the LightGBM library in Python to build a classification model using the LGBMClassifier class.

    https://www.kdnuggets.com/2023/07/lgbmclassifier-gettingstarted-guide.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

  • The First Half of 2023: Data Science and AI Developments

    6 months of 2023 has gone by like that. Here’s a recap of what the major data science and AI advancements have been in the first half of 2023.

    https://www.kdnuggets.com/2023/07/first-half-2023-data-science-ai-developments.html

  • Will 300 million Jobs really be Exposed or Lost to AI Replacement?

    The authors of the Goldman Sachs report suggest that 300 million jobs might be affected by AI replacement. Here’s why reason to be both cautious and hopeful.

    https://www.kdnuggets.com/2023/07/300-million-jobs-really-exposed-lost-ai-replacement.html

  • A Guide to Data Science Project Management Methodologies

    Project management can be one of the biggest challenges in data science projects. Learn how you can ensure your project management methods are down-packed and effective.

    https://www.kdnuggets.com/2023/07/guide-data-science-project-management-methodologies.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

  • A Playbook to Scale MLOps

    MLOps teams are pressured to advance their capabilities to scale AI. We teamed up with Ford Motors to explore how to scale MLOps within an organization and how to get started.

    https://www.kdnuggets.com/2023/06/playbook-scale-mlops.html

  • LLM Apocalypse Now: Revenge of the Open Source Clones

    This is a story about how open-source projects are taking on the LLM industry.

    https://www.kdnuggets.com/2023/05/llm-apocalypse-revenge-open-source-clones.html

  • IT Staff Augmentation: How AI Is Changing the Software Development Industry

    It discusses how AI assistants are helping teams become more efficient and how they can also be a benefit to developers.

    https://www.kdnuggets.com/2023/05/staff-augmentation-ai-changing-software-development-industry.html

  • Should You Consider a DataOps Career?

    Transitioning your career to DataOps could be just the change you need - not only will it provide the possibility to expand your technical skills, but also a rewarding salary with many job openings.

    https://www.kdnuggets.com/2023/05/consider-dataops-career.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

  • 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

  • Top 15 YouTube Channels to Level Up Your Machine Learning Skills

    Machine learning is the key driver of innovation and progress but finding the right resources to learn can be a tiring process. Save time searching aimlessly, and take advantage of our curated list of the top 15 YouTube channels to jumpstart your journey.

    https://www.kdnuggets.com/2023/03/top-15-youtube-channels-level-machine-learning-skills.html

  • What Are The Downsides of AI Advancement?

    While AI has certainly several positive uses to offer the world, it’s also displaying harm when it comes to academics, cybersecurity, the environment, jobs, and privacy.

    https://www.kdnuggets.com/2023/03/downsides-ai-advancement.html

  • Key Factors Affecting the Time to Insights

    This report provides an overview of the key factors affecting the time to insights, including the benefits of BI and the need for tailored solutions.

    https://www.kdnuggets.com/2023/03/key-factors-affecting-time-insights.html

  • Essential A/B Testing Course for Data Science

    The course explains the core foundations and experiment design process for A/B testing, along with the case studies.

    https://www.kdnuggets.com/2023/02/essential-ab-testing-course-data-science.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

  • Learn how to design, measure and implement trustworthy A/B tests from leading experimentation expert Ronny Kohavi (ex-Amazon, Airbnb, Microsoft)

    Leading expert Ronny Kohavi, drawing from his 20+ years of experience, will walk you through the ins and outs of experimentation, identifying key insights and working through live demos in his live course, Accelerating Innovation with A/B Testing, starting January 30th.

    https://www.kdnuggets.com/2023/01/sphere-design-measure-implement-trustworthy-ab-tests-ronny-kohavi.html

  • Beginner’s Guide to Cloud Computing

    Learn how cloud computing works, different types of models, top cloud platforms, and applications.

    https://www.kdnuggets.com/2023/01/beginner-guide-cloud-computing.html

  • Where Collaboration Fails Around Data (And 4 Tips for Fixing It)

    Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.

    https://www.kdnuggets.com/2023/01/collaboration-fails-around-data-4-tips-fixing.html

  • Key Data Science, Machine Learning, AI and Analytics Developments of 2022

    It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

    https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

  • How To Collect Data For Customer Sentiment Analysis

    Customer sentiment analysis involves collecting, analyzing, and leveraging data to understand customers' feelings. This article focuses on how to collect data for customer sentiment analysis.

    https://www.kdnuggets.com/2022/12/collect-data-customer-sentiment-analysis.html

  • Memory Complexity with Transformers

    What’s the problem with running a transformer model on a book with 1 million tokens? What can be a solution to this problem?

    https://www.kdnuggets.com/2022/12/memory-complexity-transformers.html

  • A Brief Introduction to Kalman Filters

    What you can’t observe, you ought to estimate. Human evolution is based on this keen interest in measurement. But what are the quantities or phenomena which you can’t observe or measure with certainty? Learn this and more about Kalman Filter which is the most widely used algorithm to estimate a true quantity.

    https://www.kdnuggets.com/2022/12/brief-introduction-kalman-filters.html

  • Top 10 Data Science Myths Busted

    The data science field is full of job opportunities, yet there is still a lot of confusion about what data scientists actually do. This confusion is largely due to the many myths that exist about the role of a data scientist. In this article, we will bust the top 10 myths about data science. By the end of this article, you will have a better understanding of the role of a data scientist and what it takes to be one.

    https://www.kdnuggets.com/2022/12/top-10-data-science-myths-busted.html

  • How To Create An Effective AI Strategy

    This post elaborates on various factors that go into consideration while prioritizing various AI initiatives.

    https://www.kdnuggets.com/2022/11/create-effective-ai-strategy.html

  • Is OLAP Dead?

    OLAP enables citizen analysts to quickly, efficiently, and cost-effectively uncover new business insights at a reduced time-to-value.

    https://www.kdnuggets.com/2022/10/olap-dead.html

  • Converting Text Documents to Token Counts with CountVectorizer

    The post explains the significance of CountVectorizer and demonstrates its implementation with Python code.

    https://www.kdnuggets.com/2022/10/converting-text-documents-token-counts-countvectorizer.html

  • Become Data-Driven Faster with DataCamp’s Analyst Takeover

    Looking for a clear (and fast) data upskilling path? Discover DataCamp’s hands-on analyst tracks and certification program—no prior analyst experience required.

    https://www.kdnuggets.com/2022/10/datacamp-data-driven-faster-analyst-takeover.html

  • 5 Free Courses to Master Calculus

    Calculus is one of the foundational pillars of understanding the mathematics behind machine learning algorithms. The post shares five free courses to help you master calculus and learn its real-world applications.

    https://www.kdnuggets.com/2022/10/5-free-courses-master-calculus.html

  • Explaining Explainable AI for Conversations

    Something is missing in artificial intelligence – trust.

    https://www.kdnuggets.com/2022/10/explaining-explainable-ai-conversations.html

  • 5 Free Courses to Master Linear Algebra

    Linear Algebra is an important subfield of mathematics and forms a core foundation of machine learning algorithms. The post shares five free courses to master the concepts of linear algebra.

    https://www.kdnuggets.com/2022/10/5-free-courses-master-linear-algebra.html

  • 3 Simple Ways to Speed Up Your Python Code

    The post explains three popular frameworks, PySpark, Dask, and Ray, and discusses various factors to select the most appropriate one for your project.

    https://www.kdnuggets.com/2022/10/3-simple-ways-speed-python-code.html

  • Which Metric Should I Use? Accuracy vs. AUC

    Depending on the problem you’re trying to solve, one metric may be more insightful than another.

    https://www.kdnuggets.com/2022/10/metric-accuracy-auc.html

  • Data-centric AI and Tabular Data

    DALL-E, LaMDA, and GPT-3 all had celebrity moments recently. So, where’s the glamorous, high-performance model that’s mastered tabular data?

    https://www.kdnuggets.com/2022/09/datacentric-ai-tabular-data.html

  • An Intuitive Explanation of Collaborative Filtering

    The post introduces one of the most popular recommendation algorithms, i.e., collaborative filtering. It focuses on building an intuitive understanding of the algorithm illustrated with the help of an example.

    https://www.kdnuggets.com/2022/09/intuitive-explanation-collaborative-filtering.html

  • Everything You Need to Know About Data Lakehouses

    Learn everything you need to know about data lakehouses.

    https://www.kdnuggets.com/2022/09/everything-need-know-data-lakehouses.html

  • Machine Learning Algorithms – What, Why, and How?

    This post explains why and when you need machine learning and concludes by listing the key considerations for choosing the correct machine learning algorithm.

    https://www.kdnuggets.com/2022/09/machine-learning-algorithms.html

  • Visualizing Your Confusion Matrix in Scikit-learn

    Defining model evaluation metrics is crucial in ensuring that the model performs precisely for the purpose it is built. Confusion Matrix is one of the most popular and effective tools to evaluate the performance of the trained ML model. In this post, you will learn how to visualize the confusion matrix and interpret its output.

    https://www.kdnuggets.com/2022/09/visualizing-confusion-matrix-scikitlearn.html

  • SQL vs NoSQL: 7 Key Takeaways

    People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

    https://www.kdnuggets.com/2020/12/sql-vs-nosql-7-key-takeaways.html

  • Data Governance and Observability, Explained

    Let’s dive in and understand the ins and outs of data observability and data governance - the two keys to a more robust data foundation.

    https://www.kdnuggets.com/2022/08/data-governance-observability-explained.html

  • Support Vector Machines: An Intuitive Approach

    This post focuses on building an intuition of the Support Vector Machine algorithm in a classification context and an in-depth understanding of how that graphical intuition can be mathematically represented in the form of a loss function. We will also discuss kernel tricks and a more useful variant of SVM with a soft margin.

    https://www.kdnuggets.com/2022/08/support-vector-machines-intuitive-approach.html

  • How to Use Data Visualization to Add Impact to Your Work Reports and Presentations

    For anyone whose work involves presenting data, understanding the art and science of data visualization — and its emphasis on storytelling — can make or break your ability to communicate key insights.

    https://www.kdnuggets.com/2022/08/data-visualization-add-impact-work-reports-presentations.html

  • Why is Data Management so Important to Data Science?

    High data availability may help power digital transformation, but data management systems are needed to keep that data organized and make it accessible. Read this article to see why data management is important to data science.

    https://www.kdnuggets.com/2022/08/data-management-important-data-science.html

  • The Importance of Experiment Design in Data Science

    Do you feel overwhelmed by the sheer number of ideas that you could try while building a machine learning pipeline? You can not take the liberty of trying all possible ways to arrive at a solution - hence we discuss the importance of experiment design in data science projects.

    https://www.kdnuggets.com/2022/08/importance-experiment-design-data-science.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

  • 3 Benefits to A/B Testing (+ Where to Get Started)

    Let’s look at 3 concrete benefits that demonstrate why A/B testing is worth your time and effort. Then learn more about Ronny’s upcoming course, "Accelerating Innovation with A/B Testing."

    https://www.kdnuggets.com/2022/08/sphere-3-benefits-ab-testing-get-started.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

  • Benefits Of Becoming A Data-First Enterprise

    Data is everywhere but only data is not sufficient to reap the benefits that come with it. It needs to be organized to enable the organizations to make more informed business decisions. In this article, we will learn what are the various benefits of being a data-first enterprise and using the data in developing a business intelligence solution.

    https://www.kdnuggets.com/2022/07/benefits-becoming-datafirst-enterprise.html

  • Why SQL Will Remain the Data Scientist’s Best Friend

    Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

    https://www.kdnuggets.com/2022/07/sql-remain-data-scientist-best-friend.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

  • Hidden Technical Debts Every AI Practitioner Should be Aware of

    Coming to think of technical debt in ML systems leads to the additional overhead of ML-related issues on top of typical software engineering issues.

    https://www.kdnuggets.com/2022/07/hidden-technical-debts-every-ai-practitioner-aware.html

  • Celebrating Women in Leadership Roles in the Tech Industry

    The technology industry, specifically, has been continuing to close the gender gap.

    https://www.kdnuggets.com/2022/07/celebrating-women-leadership-roles-tech-industry.html

  • Top Data Science Podcasts for 2022

    Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

    https://www.kdnuggets.com/2022/06/top-data-science-podcasts-2022.html

  • Publications on Data Science, Machine Learning, AI & Analytics

      Featured Publications The Machine Learning Mastery EBook Catalog Machine Learning Mastery Frustrated with one-off articles and too much math? Take the Next Step and Read more »

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

  • A Structured Approach To Building a Machine Learning Model

    This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.

    https://www.kdnuggets.com/2022/06/structured-approach-building-machine-learning-model.html

  • European AI Act: The Simplified Breakdown

    The AI act aims to ensure excellence in the EU, provide the correct conditions for the development of AI and guarantee that AI systems are beneficial to people.

    https://www.kdnuggets.com/2022/06/european-ai-act-simplified-breakdown.html

  • Five Signs of an Effective Data Science Manager

    In this article, we will go beyond the theoretical realm of what a data science manager does and focus more on how to become an “effective” data science manager.

    https://www.kdnuggets.com/2022/06/five-signs-effective-data-science-manager.html

  • HuggingFace Has Launched a Free Deep Reinforcement Learning Course

    Hugging Face has released a free course on Deep RL. It is self-paced and shares a lot of pointers on theory, tutorials, and hands-on guides.

    https://www.kdnuggets.com/2022/05/huggingface-launched-free-deep-reinforcement-learning-course.html

  • The “Hello World” of Tensorflow

    In this article, we will build a beginner-friendly machine learning model using TensorFlow.

    https://www.kdnuggets.com/2022/05/hello-world-tensorflow.html

  • Everything You Need to Know About Tensors

    In this article, we will cover the basics of the tensors.

    https://www.kdnuggets.com/2022/05/everything-need-know-tensors.html

  • A Community for Synthetic Data is Here and This is Why We Need It

    The first open-source platform for synthetic data is here to help educate the broader machine learning and computer vision communities on the emerging technology.

    https://www.kdnuggets.com/2022/04/community-synthetic-data-need.html

  • Top 5 Reasons Why You Should Avoid a Data Science Career

    The intent of this article is to give you a reality check of what are the personality traits of a typical data scientist before you dip your feet in the ocean of the big shiny world of data science.

    https://www.kdnuggets.com/2022/04/top-5-reasons-avoid-data-science-career.html

  • A Quick Guide to Find the Right Minds for Annotation

    Let's look through the points below for useful tips on how to choose the proper outsourcing partner to handle the labeling for your next AI model.

    https://www.kdnuggets.com/2022/04/quick-guide-find-right-minds-annotation.html

  • Low Code: Are Developers Still Needed?

    Have low-code solutions subverted the need for developers? Are experienced software developers going the way of the dodo? Read on to find out.

    https://www.kdnuggets.com/2022/04/low-code-developers-still-needed.html

  • 4 Factors to Identify Machine Learning Solvable Problems

    The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.

    https://www.kdnuggets.com/2022/04/4-factors-identify-machine-learning-solvable-problems.html

  • A Bug That Can Make You a Data Science Hero

    What if I tell you that there is a bug that can take you on a ride in the world of data science. Yes, if you have the bug of curiosity, consider yourself the best fit for the data science profession.

    https://www.kdnuggets.com/2022/03/bug-make-data-science-hero.html

  • 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

  • The Significance of Data Quality in Making a Successful Machine Learning Model

    Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.

    https://www.kdnuggets.com/2022/03/significance-data-quality-making-successful-machine-learning-model.html

  • How To Use Synthetic Data To Overcome Data Shortages For Machine Learning Model Training

    It takes time and considerable resources to collect, document, and clean data before it can be used. But there is a way to address this challenge – by using synthetic data.

    https://www.kdnuggets.com/2022/03/synthetic-data-overcome-data-shortages-machine-learning-model-training.html

  • 5 Ways to Apply AI to Small Data Sets

    It is better to use AI algorithms on small data sets for results free of human errors and false results when applied correctly. Here are some methods to apply AI to small data sets.

    https://www.kdnuggets.com/2022/02/5-ways-apply-ai-small-data-sets.html

  • What to Expect From Your Career Path as a Data Scientist

    Learn about the roles between you and the Director of Data Science.

    https://www.kdnuggets.com/2022/01/expect-career-path-data-scientist.html

  • Unstructured Data: The Must-Have For Analytics In 2022

    Let's investigate the current need that enterprise organizations have to rapidly parse through unstructured data and examine several data management trends that are highly relevant in 2022.

    https://www.kdnuggets.com/2022/01/unstructured-data-analytics-2022.html

  • Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership

    In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.

    https://www.kdnuggets.com/2022/01/models-rarely-deployed-industrywide-failure-machine-learning-leadership.html

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