Search results for Digital Practices

    Found 127 documents, 5930 searched:

  • 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

  • 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

  • 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

  • Can Data Science Be Agile? Implementing Best Agile Practices to Your Data Science Process

    Agile is not reserved for software developers only -- that's a myth. While these effective strategies are not commonly used by data scientists today and some aspects of data science make Agile a bit tricky, the methodology offers plenty of benefits to data science projects that can increase the effectiveness of your process and bring more success to your outcomes.

    https://www.kdnuggets.com/2021/01/data-science-agile-best-practices.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

  • The Case of Homegrown Large Language Models

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

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

  • 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

  • 4 Steps to Become a Generative AI Developer

    In this post, we will cover what a generative AI developer does, what tools you need to master, and how to get started.

    https://www.kdnuggets.com/4-steps-to-become-a-generative-ai-developer

  • A Comprehensive List of Resources to Master Large Language Models

    Large Language Models (LLMs) have now become an integral part of various applications. This article provides an extensive list of resources for anyone interested to dive into the world of LLMs.

    https://www.kdnuggets.com/a-comprehensive-list-of-resources-to-master-large-language-models

  • 6 Artificial Intelligence Myths Debunked: Separating Fact from Fiction

    Discover the truth behind popular AI myths and dive deep into the genuine capabilities and impact of Generative AI in today's world.

    https://www.kdnuggets.com/6-artificial-intelligence-myths-debunked-separating-fact-from-fiction

  • 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

  • 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

  • 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

  • Closed Source VS Open Source Image Annotation

    This blog strikes a comparison between open-source and closed-source image annotation tools and how it makes the life of AI model developers easy and convenient.

    https://www.kdnuggets.com/closed-source-vs-open-source-image-annotation

  • 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

  • 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

  • Automation in Data Science Workflows

    Will data science, known for replacing innately iterative work with automation, become automated? Will data scientists’ jobs be automated too?

    https://www.kdnuggets.com/2023/03/automation-data-science-workflows.html

  • 9 Top Platforms to Practice Key Data Science Skills

    Which platforms would I recommend as a go-to for learning and practicing data science skills? The list would change every day, depending on my mood. Here’s today’s list with an overview of each platform.

    https://www.kdnuggets.com/2023/03/9-top-platforms-practice-key-data-science-skills.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

  • 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

  • 15 Free Machine Learning and Deep Learning Books

    Check out this list of 15 FREE ebooks for learning machine learning and deep learning.

    https://www.kdnuggets.com/2022/10/15-free-machine-learning-deep-learning-books.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

  • A Beginner’s Guide to Web Scraping Using Python

    This article serves as a beginner’s guide to web scraping using Python and looks at the different frameworks and methods you can use, outlined in simple terms.

    https://www.kdnuggets.com/2022/10/beginner-guide-web-scraping-python.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

  • 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

  • Prioritizing Data Science Models for Production

    Statistical performance metrics aren’t enough to pick the right models to bring to market.

    https://www.kdnuggets.com/2022/04/prioritizing-data-science-models-production.html

  • Celebrating Awareness of the Importance of Data Privacy

    January 28 is Data Privacy Day, bringing awareness of the basic foundation and principles of data protection. Read about the day itself, why data privacy is important, and best practices you can adhere to in order to help ensure the privacy of your data.

    https://www.kdnuggets.com/2022/01/celebrating-awareness-importance-data-privacy.html

  • The Case for a Global Responsible AI Framework

    Public and private organizations have come out with their own set of AI principles, focusing on AI-related risks from their perspective. However, it’s imperative d=to have a global consensus on Responsible AI – based on data governance, transparency and accountability – on how to utilize and benefit from AI in a way that is both consistent and ethical.

    https://www.kdnuggets.com/2021/10/responsible-ai-framework.html

  • How to Build Data Frameworks with Open Source Tools to Enhance Agility and Security

    Let’s take a look at how to harness open source tools to build your data frameworks.

    https://www.kdnuggets.com/2021/10/build-data-frameworks-open-source-tools-agility-security.html

  • Eight Data Science Specializations, and Why You Should Pick One

    With so many Data Science specializations, where should you focus? The Pace University online Master of Science in Data Science features elective courses which allow you to focus on topics that suit your career path so that you can begin to develop a unique specialization.

    https://www.kdnuggets.com/2021/10/pace-eight-data-science-specializations.html

  • MLOps and ModelOps: What’s the Difference and Why it Matters

    These two terms are often used interchangeably. However, there are key distinctions between the functionality and features each provide, and the AI value and scalability at your organization depend on them.

    https://www.kdnuggets.com/2021/09/mlops-modelops-difference.html

  • Amazon Web Services Webinar: Boost customer satisfaction and sales with consumer insights data

    Join this webinar, Sep 27, to learn how to leverage external data to understand market needs and consumer behavior – helping you build a more customer-centric business.

    https://www.kdnuggets.com/2021/09/roidna-aws-webinar-consumer-insights-data.html

  • The Top Industries Hiring Data Scientists in 2021">Silver BlogThe Top Industries Hiring Data Scientists in 2021

    People realize that effective uses of data can increase competitiveness, even in a challenging marketplace. Here are six industries hiring data scientists now that will likely continue doing so for the foreseeable future.

    https://www.kdnuggets.com/2021/08/top-industries-hiring-data-scientists-2021the-top-industries-hiring-data-scientists-in-2021.html

  • How to Detect and Overcome Model Drift in MLOps

    This article has a look at model drift, and how to detect and overcome it in production MLOps.

    https://www.kdnuggets.com/2021/08/detect-overcome-model-drift-mlops.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

  • Become an Analytics Engineer in 90 Days">Gold BlogBecome an Analytics Engineer in 90 Days

    A new role of the Analytics Engineer is an exciting opportunity that crosses the skill sets of a Data Analyst and Data Engineer. Here, we describe how this position can evolve at an organization, and recommend self-learning resources that can be used to prepare for the multifaceted responsibilities.

    https://www.kdnuggets.com/2021/07/become-analytics-engineer-90-days.html

  • 6 Business Trends Benefiting Data Scientists

    Here are six business trends making data scientists even more in-demand.

    https://www.kdnuggets.com/2021/05/6-business-trends-data-scientists.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

  • Best Python Books for Beginners and Advanced Programmers

    Let's take a look at nine of the best Python books for both beginners and advanced programmers, covering topics such as data science, machine learning, deep learning, NLP, and more.

    https://www.kdnuggets.com/2021/05/best-python-books-beginner-advanced.html

  • Advance your career in Data Science with HSE Master in Data Science

    HSE’s Master of Data Science is the first fully English-taught online data science Master’s from a Russian university. The degree is designed for students with or without prior coding experience. The final application deadline is June 17th. Learn more about HSE’s Master of Data Science now.

    https://www.kdnuggets.com/2021/03/hse-master-data-science.html

  • Past 2021 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning

    Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »

    https://www.kdnuggets.com/meetings/past-meetings-2021.html

  • Machine learning is going real-time

    Extracting immediate predictions from machine learning algorithms on the spot based on brand-new data can offer a next level of interaction and potential value to its consumers. The infrastructure and tech stack required to implement such real-time systems is also next level, and many organizations -- especially in the US -- seem to be resisting. But, what even is real-time ML, and how can it deliver a better experience?

    https://www.kdnuggets.com/2021/01/machine-learning-real-time.html

  • MLOps – “Why is it required?” and “What it is”?

    Creating an model that works well is only a small aspect of delivering real machine learning solutions. Learn about the motivation behind MLOps, the framework and its components that will help you get your ML model into production, and its relation to DevOps from the world of traditional software development.

    https://www.kdnuggets.com/2020/12/mlops-why-required-what-is.html

  • Industry 2021 Predictions for AI, Analytics, Data Science, Machine Learning

    We bring you industry predictions from 12 innovative companies - what key trends they expect in 2021 in AI, Analytics, Data Science, and Machine Learning?

    https://www.kdnuggets.com/2020/12/industry-2021-predictions-ai-data-science-machine-learning.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

  • NoSQL for Beginners">Silver BlogNoSQL for Beginners

    NoSQL can offer an advantage to those who are entering Data Science and Analytics, as well as having applications with high-performance needs that aren’t met by traditional SQL databases.

    https://www.kdnuggets.com/2020/12/nosql-beginners.html

  • Software 2.0 takes shape

    Software developers remain in very high demand as many organizations continue to experience workloads that far exceed available talent. AI-enhanced approaches that automate more areas of the software development lifecycle are in development with interesting potentials for how machine learning and natural language processing can significantly impact how software is designed, developed, tested, and deployed in the future.

    https://www.kdnuggets.com/2020/10/software-20-takes-shape.html

  • Strategies of Docker Images Optimization

    Large Docker images lengthen the time it takes to build and share images between clusters and cloud providers. When creating applications, it’s therefore worth optimizing Docker Images and Dockerfiles to help teams share smaller images, improve performance, and debug problems.

    https://www.kdnuggets.com/2020/10/strategies-docker-images-optimization.html

  • A Guide to Preparing OpenCV for Android

    This tutorial guides Android developers in preparing the popular library OpenCV for use. Using a step-by-step guide, the library will be imported into Android Studio and then can be used for performing any of the operations it supports, such as object detection, segmentation, tracking, and more.

    https://www.kdnuggets.com/2020/10/guide-preparing-opencv-android.html

  • Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities">Silver BlogOnline Certificates/Courses in AI, Data Science, Machine Learning from Top Universities

    We present the online courses and certificates in AI, Data Science, Machine Learning, and related topics from the top 20 universities in the world.

    https://www.kdnuggets.com/2020/09/online-certificates-ai-data-science-machine-learning-top.html

  • How Data Science Is Keeping People Safe During COVID-19

    Data, and more importantly, the way people use it, is shaping and refining approaches to COVID-19 safety. Here's a closer look at how this is happening.

    https://www.kdnuggets.com/2020/08/data-science-keeping-people-safe-covid-19.html

  • Implementing MLOps on an Edge Device

    This article introduces developers to MLOps and strategies for implementing MLOps on edge devices.

    https://www.kdnuggets.com/2020/08/implementing-mlops-edge-device.html

  • Why would you put Scikit-learn in the browser?

    Honestly? I don’t know. But I do think WebAssembly is a good target for ML/AI deployment (in the browser and beyond).

    https://www.kdnuggets.com/2020/07/why-put-scikit-learn-browser.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

  • Free Data Analytics Courses

    Wherever your skills are at today, check out these top course recommendations for 2020 to help you master data analytics.

    https://www.kdnuggets.com/2020/06/free-data-analytics-courses.html

  • Upcoming Webinars and Online Events in AI, Data Science, Machine Learning: June

    Here are some interesting upcoming webinar, online events and virtual conferences in in AI, Data Science, and Machine Learning.

    https://www.kdnuggets.com/2020/06/upcoming-webinars-online-events-june.html

  • AI and Machine Learning for Healthcare">Gold BlogAI and Machine Learning for Healthcare

    Traditional business and technology sectors are not the only fields being impacted by AI. Healthcare is a field that is thought to be highly suitable for the applications of AI tools and techniques.

    https://www.kdnuggets.com/2020/05/ai-machine-learning-healthcare.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

  • Scaling Your Data Strategy

    This article presents a particular vision for a cohesive data strategy for addressing large-scale problems with data-driven solutions, based on prior professional experiences.

    https://www.kdnuggets.com/2020/03/scaling-data-strategy.html

  • Past 2020 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning

    Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »

    https://www.kdnuggets.com/meetings/past-meetings-2020.html

  • NLP Year in Review — 2019

    In this blog post, I want to highlight some of the most important stories related to machine learning and NLP that I came across in 2019.

    https://www.kdnuggets.com/2020/01/nlp-year-review-2019.html

  • Top 5 AI trends for 2020

    We are all witnessing a staggering growth of AI technology with so many new benefits for people while also changing the way we live and work. As AI continues to grow, which applications will have a significant impact in 2020?

    https://www.kdnuggets.com/2020/01/top-5-ai-trends-2020.html

  • 10 Best and Free Machine Learning Courses, Online

    Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.

    https://www.kdnuggets.com/2019/12/best-free-machine-learning-courses-online.html

  • AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020">Gold BlogAI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020

    As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.

    https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-research.html

  • A Doomed Marriage of Machine Learning and Agile

    Sebastian Thrun, the founder of Udacity, ruined my machine learning project and wedding.

    https://www.kdnuggets.com/2019/11/doomed-marriage-machine-learning-agile.html

  • Top 8 Data Science Use Cases in Marketing

    In this article, we want to highlight some key data science use cases in marketing. Let us concentrate on several instances that present particular interest and managed to prove their efficiency in the course of time.

    https://www.kdnuggets.com/2019/11/top-8-data-science-use-cases-marketing.html

  • How to Make an Agile Team Work for Big Data Analytics

    Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value for your Big Data products.

    https://www.kdnuggets.com/2019/10/agile-team-big-data-analytics.html

  • Platinum BlogEverything a Data Scientist Should Know About Data Management">Silver BlogPlatinum BlogEverything a Data Scientist Should Know About Data Management

    For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

    https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

  • 6 Tips for Building a Training Data Strategy for Machine Learning

    Without a well-defined approach for collecting and structuring training data, launching an AI initiative becomes an uphill battle. These six recommendations will help you craft a successful strategy.

    https://www.kdnuggets.com/2019/09/6-tips-training-data-strategy-machine-learning.html

  • Gender Diversity in AI Research

    Through an analysis of 1.5M papers from arXiv, this study reviews the evolution of gender diversity across disciplines, countries, and institutions as well as the semantic differences between AI papers with and without female co-authors.

    https://www.kdnuggets.com/2019/08/gender-diversity-ai-research.html

  • Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment

    This is an excerpt from a survey which sought to evaluate the relevance of machine learning in operations today, assess the current state of machine learning adoption and to identify tools used for machine learning. A link to the full report is inside.

    https://www.kdnuggets.com/2019/08/machine-learning-happening-now-survey-organizational-adoption-implementation-investment.html

  • How a simple mix of object-oriented programming can sharpen your deep learning prototype

    By mixing simple concepts of object-oriented programming, like functionalization and class inheritance, you can add immense value to a deep learning prototyping code.

    https://www.kdnuggets.com/2019/08/simple-mix-object-oriented-programming-sharpen-deep-learning-prototype.html

  • Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning">Gold BlogTop 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning

    Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.

    https://www.kdnuggets.com/2019/07/best-podcasts-ai-analytics-data-science-machine-learning.html

  • Customer Churn Prediction Using Machine Learning: Main Approaches and Models

    We reach out to experts from HubSpot and ScienceSoft to discuss how SaaS companies handle the problem of customer churn prediction using Machine Learning.

    https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

  • 2019 Best Masters in Data Science and Analytics – Europe Edition">Gold Blog2019 Best Masters in Data Science and Analytics – Europe Edition

    We provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across Europe.

    https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-europe.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

  • Machine Learning & AI Main Developments in 2018 and Key Trends for 2019">Gold BlogMachine Learning & AI Main Developments in 2018 and Key Trends for 2019

    As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Machine Learning and AI experts as to the most important developments of 2018 and their 2019 key trend predictions.

    https://www.kdnuggets.com/2018/12/predictions-machine-learning-ai-2019.html

  • AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019">Gold BlogAI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019

    Review of 2018 and Predictions for 2019 from our panel of experts, including Meta Brown, Tom Davenport, Carla Gentry, Bob E Hayes, Cassie Kozyrkov, Doug Laney, Bill Schmarzo, Kate Strachnyi, Ronald van Loon, Favio Vazquez, and Jen Underwood.

    https://www.kdnuggets.com/2018/12/predictions-data-science-analytics-2019.html

  • 10 Best Mobile Apps for Data Scientist / Data Analysts">Platinum Blog10 Best Mobile Apps for Data Scientist / Data Analysts

    A collection of useful mobile applications that will help enhance your vital data science and analytic skills. These free apps can improve your listening abilities, logical skills, basic leadership qualities and more.

    https://www.kdnuggets.com/2018/10/10-best-mobile-apps-data-scientist.html

  • Ethics + Data Science: opinion by DJ Patil, former US Chief Data Scientist

    How much has data changed our lives over the past decade? Former US Chief Data Scientist DJ Patil investigates.

    https://www.kdnuggets.com/2018/09/ethics-data-science.html

  • How to Make AI More Accessible

    I recently was a guest speaker at the Stanford AI Salon on the topic of accessiblity in AI, which included a free-ranging discussion among assembled members of the Stanford AI Lab. There were a number of interesting questions and topics, so I thought I would share a few of my answers here.

    https://www.kdnuggets.com/2018/04/make-ai-more-accessible.html

  • A “Weird” Introduction to Deep Learning">Silver BlogA “Weird” Introduction to Deep Learning

    There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.

    https://www.kdnuggets.com/2018/03/weird-introduction-deep-learning.html

  • A Beginner’s Guide to Data Engineering – Part II

    In this post, I share more technical details on how to build good data pipelines and highlight ETL best practices. Primarily, I will use Python, Airflow, and SQL for our discussion.

    https://www.kdnuggets.com/2018/03/beginners-guide-data-engineering-part-2.html

  • 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning">Gold Blog18 Inspiring Women In AI, Big Data, Data Science, Machine Learning

    For the 2018 international women's day, we profile 18 inspiring women who lead the field in AI, Analytics, Big Data , Data science, and Machine Learning areas.

    https://www.kdnuggets.com/2018/03/inspiring-women-ai-big-data-science.html

  • Exclusive Interview: Doug Laney on Big Data and Infonomics

    We discuss 3Vs of Big Data; Infonomics and many aspects of monetizing information including promising analytics methods, successful companies, main challenges; Information marketplaces and why data ownership concept is misguided, and more.

    https://www.kdnuggets.com/2018/01/exclusive-interview-doug-laney-big-data-infonomics.html

  • Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI">Gold BlogComparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI

    A complete and unbiased comparison of the three most common Cloud Technologies for Machine Learning as a Service.

    https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html

  • Deep Learning Made Easy with Deep Cognition

    So normally we do Deep Learning programming, and learning new APIs, some harder than others, some are really easy an expressive like Keras, but how about a visual API to create and deploy Deep Learning solutions with the click of a button? This is the promise of Deep Cognition.

    https://www.kdnuggets.com/2017/12/deep-learning-made-easy-deep-cognition.html

  • Best Masters in Data Science and Analytics – Asia and Australia Edition

    The fourth edition of our comprehensive, unbiased survey on graduate degrees in Data Science and Analytics from around the world.

    https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-asia-australia.html

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