Search results for Virtual Organization

Found 160 documents, 5932 searched:

• Virtual Presentation Tips for Data Scientists

  Learn how to effectively communicate your work.

  https://www.kdnuggets.com/2021/11/virtual-presentation-tips-data-scientists.html

• Hiring or Looking to Get Hired in Data Science/Analytics? The INFORMS Virtual Career Fair is for You

  Hiring or looking to get hired in Data Science / Analytics? The INFORMS Virtual Career Fair, April 13, is for you. Register today!

  https://www.kdnuggets.com/2021/03/informs-virtual-career-fair.html

• Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

  This article covers the value of understanding the virtualization constructs for the data scientist and data engineer as they deploy their analysis onto all kinds of cloud platforms. Virtualization is a key enabling layer of software for these data workers to be aware of and to achieve optimal results from.

  https://www.kdnuggets.com/2017/01/data-scientist-engineer-understand-virtualization-cloud.html

• Data Science and the Go Programming Language

  Northwestern’s School of Professional Studies uses Go in Its Master of Science in Data Science Program.

  https://www.kdnuggets.com/2024/03/nwu-data-science-go-programming-language

• 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

• Navigating Today’s Data and AI Market Uncertainty

  It’s more important than ever to think long-term about the analytics partnerships you forge. Are you choosing technologies that will stand the test of time? Are you choosing companies with proven track records?

  https://www.kdnuggets.com/2024/02/altair-navigating-todays-data-ai-market-uncertainty

• 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

• How Semantic Vector Search Transforms Customer Support Interactions

  Semantic vector search is an advanced search technique revolutionizes how we interact with information by understanding the true meaning of words, thus leading to more relevant and insightful results.

  https://www.kdnuggets.com/how-semantic-vector-search-transforms-customer-support-interactions

• Enroll in a 4-year Computer Science Degree Program For Free

  Enroll in the free OSSU Computer Science degree program and launch your career in tech today. Learn from high-quality courses from professors from leading universities like MIT, Harvard, and Princeton.

  https://www.kdnuggets.com/enroll-in-a-4-year-computer-science-degree-program-for-free

• 2023: The Crazy AI Year

  The year of Generative AI - let’s go through what happened in the past 12 months.

  https://www.kdnuggets.com/2023-the-crazy-ai-year

• 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

• Introduction to Natural Language Processing

  An overview of Natural Language Processing (NLP) and its applications.

  https://www.kdnuggets.com/introduction-to-natural-language-processing

• 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

• Create a Dashboard Using Python and Dash

  The article explains how to build a Netflix dashboard with Python and Dash to visualize content distribution and classification using maps, charts, and graphs.

  https://www.kdnuggets.com/2023/08/create-dashboard-python-dash.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

• CDC Data Replication: Techniques, Tradeoffs, Insights

  The author discusses common use cases for CDC data replication, implementation techniques and their tradeoffs, and firsthand insights.

  https://www.kdnuggets.com/2023/08/cdc-data-replication-techniques-tradeoffs-insights.html

• Introducing OpenLLM: Open Source Library for LLMs

  A user-friendly platform for operating large language models (LLMs) in production, with features such as fine-tuning, serving, deployment, and monitoring of any LLMs.

  https://www.kdnuggets.com/2023/07/introducing-openllm-open-source-library-llms.html

• The Drag-and-Drop UI for Building LLM Flows: Flowise AI

  Don’t have any coding experience? Don’t worry. Check out this drag-and-drop tool that helps you to build your own customized LLM flows. And guess what, you don’t have to be a tech professional!

  https://www.kdnuggets.com/2023/07/draganddrop-ui-building-llm-flows-flowise-ai.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

• Docker Tutorial for Data Scientists

  Interested in learning Docker for data science? Learn the basics of Docker and containerize data science apps in minutes.

  https://www.kdnuggets.com/2023/07/docker-tutorial-data-scientists.html

• Exploring the Latest Trends in AI/DL: From Metaverse to Quantum Computing

  The author discusses several emerging trends in Artificial Intelligence and Deep Learning such as Metaverse and Quantum Computing.

  https://www.kdnuggets.com/2023/07/exploring-latest-trends-aidl-metaverse-quantum-computing.html

• Big Data Analytics: Why Is It So Crucial For Business Intelligence?

  Understand the relationship between big data and business intelligence.

  https://www.kdnuggets.com/2023/06/big-data-analytics-crucial-business-intelligence.html

• GPT4All is the Local ChatGPT for your Documents and it is Free!

  How to install GPT4All on your Laptop and ask AI about your own domain knowledge (your documents)… and it runs on CPU only!.

  https://www.kdnuggets.com/2023/06/gpt4all-local-chatgpt-documents-free.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

• Top 19 Skills You Need to Know in 2023 to Be a Data Scientist

  Skills like the ability to clean, transform, statistically analyze, visualize, communicate, and predict data.

  https://www.kdnuggets.com/2023/04/top-19-skills-need-know-2023-data-scientist.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

• Building a Recommender System for Amazon Products with Python

  I built a recommender system for Amazon’s electronics category.

  https://www.kdnuggets.com/2023/02/building-recommender-system-amazon-products-python.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

• Telling a Great Data Story: A Visualization Decision Tree

  Pick your visualizations strategically. They need to tell a story.

  https://www.kdnuggets.com/2021/02/telling-great-data-story-visualization-decision-tree.html

• Machine Learning on the Edge

  Edge ML involves putting ML models on consumer devices where they can independently run inferences without an internet connection, in real-time, and at no cost.

  https://www.kdnuggets.com/2022/10/machine-learning-edge.html

• Explaining Explainable AI for Conversations

  Something is missing in artificial intelligence – trust.

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

• How To Calculate Algorithm Efficiency

  In this article, we will discuss how to calculate algorithm efficiency, focusing on two main ways to measure it and providing an overview of the calculation process.

  https://www.kdnuggets.com/2022/09/calculate-algorithm-efficiency.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

• 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

• 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

• NLP, NLU, and NLG: What’s The Difference? A Comprehensive Guide

  This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.

  https://www.kdnuggets.com/2022/06/nlp-nlu-nlg-difference-comprehensive-guide.html

• Learn MLOps with This Free Course

  Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.

  https://www.kdnuggets.com/2022/06/learn-mlops-free-course.html

• 6 Soft Skills for Data Scientists Working Remotely

  As a data scientist, you might have a great portfolio of technical skills, but if you can’t communicate effectively, you won’t be able to convey your ideas clearly during virtual meetings

  https://www.kdnuggets.com/2022/05/6-soft-skills-data-scientists-working-remotely.html

• Should The Data Warehouse Be Immutable?

  Is the data warehouse broken? Is the "immutable data warehouse" the right path for your data team? Learn more here.

  https://www.kdnuggets.com/2022/05/data-warehouse-immutable.html

• Does AI Get its Own Batman?

  AI is sending up the Bat-signal and synthetic data is answering the call for more robust, powerful, and less-biased AI systems.

  https://www.kdnuggets.com/2022/05/ai-get-batman.html

• 5 Key Components of a Data Sharing Platform

  Read this article for an overview of what the components of a data-sharing platform are.

  https://www.kdnuggets.com/2022/05/5-key-components-data-sharing-platform.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

• 15 Trending MLOps Talks You can Access for Free at ODSC East 2022

  Covering topics like workflows and full-stack machine learning, these are 15 free MLOps talks coming to #ODSCEast 2022 that you can see with a free Bronze Pass.

  https://www.kdnuggets.com/2022/04/odsc-15-trending-mlops-talks-access-free-odsc-east-2022.html

• Boost Your AI and ML Skills for Free at NVIDIA Conference

  Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.

  https://www.kdnuggets.com/2022/03/nvidia-fourday-conference-offers-hundreds-learning-development-opportunities.html

• Hybrid AI Will Go Mainstream in 2022

  Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.

  https://www.kdnuggets.com/2022/03/hybrid-ai-go-mainstream-2022.html

• Data: The Most Valuable Commodity for Businesses

  Many companies have been capturing customer data in some form or another for decades. Petabytes of data are traversing networks worldwide every day, and all of that data means big money. Here's how companies can best utilize this data to influence positive outcomes.

  https://www.kdnuggets.com/2022/03/data-valuable-commodity-businesses.html

• What Is the Difference Between SQL and Object-Relational Mapping (ORM)?

  Object-relational mapping, or ORM, is a technique that allows you to interact with databases using the object-oriented paradigm of the programming language of your choosing. How is that different from structured query language, though, and when do you use them?

  https://www.kdnuggets.com/2022/02/difference-sql-object-relational-mapping-orm.html

• Ploomber vs Kubeflow: Making MLOps Easier

  This article covers some background on Ploomber, Kubeflow pipelines, and why we need those tools to make our lives easier.

  https://www.kdnuggets.com/2022/02/ploomber-kubeflow-mlops-easier.html

• Top Programming Languages and Their Uses

  The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

  https://www.kdnuggets.com/2021/05/top-programming-languages.html

• How I Redesigned over 100 ETL into ELT Data Pipelines">How I Redesigned over 100 ETL into ELT Data Pipelines

  Learn how to level up your Data Pipelines!

  https://www.kdnuggets.com/2021/11/redesigned-over-100-etl-elt-data-pipelines.html

• SAS Analytics Pro – now available for on-site or containerized cloud-native deployment – providing your entry point into SAS Viya

  Now, SAS Analytics Pro includes a new option for containerized cloud-native deployment. This makes SAS Analytics Pro a perfect entry point into SAS Viya.

  https://www.kdnuggets.com/2021/11/sas-analytics-pro-now-available.html

• The Best Ways for Data Professionals to Market AWS Skills in 2022

  Knowing your way around Amazon Web Services (AWS) is increasingly useful. Here are five ways to market your AWS skills in today’s job market.

  https://www.kdnuggets.com/2021/11/best-ways-data-professionals-market-aws-skills.html

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

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

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

• ETL and ELT: A Guide and Market Analysis

  ETL and related techniques remain a powerful and foundational tool in the data industry. We explain what ETL is and how ETL and ELT processes have evolved over the years, with a close eye toward how third-generation ETL tools are about to disrupt standard data processing practices.

  https://www.kdnuggets.com/2021/10/etl-elt-guide-market-analysis.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

• 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

• New Computing Paradigm for AI: Processing-in-Memory (PIM) Architecture

  As larger deep neural networks are trained on the latest and fastest chip technologies, an important challenge remains that bottlenecks performance -- and it is not compute power. You can try to calculate a DNN as fast as possible, but there is data -- and it has to move. Data pipelines on the chip are expensive and new solutions must be developed to advance capabilities.

  https://www.kdnuggets.com/2021/10/samsung-computing-paradigm-ai-in-memory.html

• Building a Structured Financial Newsfeed Using Python, SpaCy and Streamlit

  Getting started with NLP by building a Named Entity Recognition(NER) application.

  https://www.kdnuggets.com/2021/09/-structured-financial-newsfeed-using-python-spacy-and-streamlit.html

• Introduction to Automated Machine Learning

  AutoML enables developers with limited ML expertise (and coding experience) to train high-quality models specific to their business needs. For this article, we will focus on AutoML systems which cater to everyday business and technology applications.

  https://www.kdnuggets.com/2021/09/introduction-automated-machine-learning.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

• Amazon Web Services Webinar: Accelerating clinical trial and biomedical development processes with healthcare data

  Join this webinar on August 27 to learn how to leverage external healthcare datasets to make faster decisions with greater accuracy – accelerating biomedical development and improving patient welfare.

  https://www.kdnuggets.com/2021/08/aws-webinar-clinical-trial-biomedical-development-healthcare.html

• Towards a Responsible and Ethical AI

  It is not the technology at fault, but the intention.

  https://www.kdnuggets.com/2021/07/towards-responsible-ethical-ai.html

• Data Monetization 101

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

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

• AWS Webinar: How are data-driven companies using ESG and sustainability data to make actionable decisions?

  In this virtual session, on Jul 29 @ 11AM PT, 2PM ET, our panel of experts will uncover how companies across several verticals use ESG data to move beyond the reporting benchmark, deepen business insights, and create competitive differentiation.

  https://www.kdnuggets.com/2021/07/roidna-aws-webinar-data-driven-esg-sustainability-decisions.html

• How To Transition From Data Freelancer to Data Entrepreneur (Almost Overnight)

  Data freelancers trade hours for dollars while data entrepreneurs have found a way to make money while they sleep. Ready to make the transition? Keep reading to learn how to do it as SEAMLESSLY and PROFITABLY as possible.

  https://www.kdnuggets.com/2021/07/transition-data-freelancer-data-entrepreneur-overnight.html

• Data Scientists and ML Engineers Are Luxury Employees">Data Scientists and ML Engineers Are Luxury Employees

  Maybe it seems that everyone wants to become a data scientist and every organization wants to hire one as quickly as possible. However, a mismatch often exists between what companies tend to need and what ML practitioners want to do. So, it's time for the field to take another step toward maturity through an enhanced appreciation of the broad range of technical foundations for an organization to become data-driven.

  https://www.kdnuggets.com/2021/07/data-scientists-machine-learning-engineers-luxury-employees.html

• Unleashing the Power of MLOps and DataOps in Data Science

  Organizations trying to move forward with analytics and data science initiatives -- while floating in an ocean of data -- must enhance their overall approach and culture to embrace a foundation on DataOps and MLOps. Leveraging these operational frameworks are necessary to enable the data to generate real business value.

  https://www.kdnuggets.com/2021/06/power-mlops-dataops-data-science.html

• Data Careers in Demand: Crowd Solutions Architect Explained

  How can crowdsourcing support the applications of data teams at an organization? With an ever-increasing demand for more and higher quality data, a new role of the Crowd Solutions Architect (CSA) can leverage the potential of the masses to bring an advantage to a business's capability to deliver effective AI-driven solutions.

  https://www.kdnuggets.com/2021/06/data-careers-crowd-solutions-architect.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

• Easy MLOps with PyCaret + MLflow

  A beginner-friendly, step-by-step tutorial on integrating MLOps in your Machine Learning experiments using PyCaret.

  https://www.kdnuggets.com/2021/05/easy-mlops-pycaret-mlflow.html

• Overview of MLOps

  Building a machine learning model is great, but to provide real business value, it must be made useful and maintained to remain useful over time. Machine Learning Operations (MLOps), overviewed here, is a rapidly growing space that encompasses everything required to deploy a machine learning model into production, and is a crucial aspect to delivering this sought after value.

  https://www.kdnuggets.com/2021/03/overview-mlops.html

• Applying Natural Language Processing in Healthcare

  New advances in natural language processing (NLP) based on deep learning and transfer learning have made a whole set of software use cases in healthcare viable. The Healthcare NLP Summit is a free online conference on April 6th and 7th, bringing together 30+ technical sessions from across the community that works to apply these advances in the real world.

  https://www.kdnuggets.com/2021/03/formulated-natural-language-processing-healthcare.html

• Data Observability, Part II: How to Build Your Own Data Quality Monitors Using SQL

  Using schema and lineage to understand the root cause of your data anomalies.

  https://www.kdnuggets.com/2021/02/data-observability-part-2-build-data-quality-monitors-sql.html

• 5 Tools for Effortless Data Science

  The sixth tool is coffee.

  https://www.kdnuggets.com/2021/01/5-tools-effortless-data-science.html

• 11 Industrial AI Trends that will Dominate the World in 2021

  These trends broadly cover the three themes of: Where will businesses adopt AI in 2021? How will AI become more accessible? How will AI capabilities evolve?

  https://www.kdnuggets.com/2021/01/11-industrial-ai-trends-dominate-2021.html

• 15 Exciting AI Project Ideas for Beginners">15 Exciting AI Project Ideas for Beginners

  There are many branches to AI to learn, but a project-based approach can keep things interesting. Here is a list of 15 such projects you can get started on implementing today.

  https://www.kdnuggets.com/2020/11/greatlearning-ai-project-ideas-beginners.html

• 5 Reasons Why Containers Will Rule Data Science

  Historically, containers were a way to abstract a software stack away from the operating system. For data scientists, containers have historically offered few benefits.

  https://www.kdnuggets.com/2020/11/gigantum-containers-will-rule-data-science.html

• 10 Underrated Python Skills

  Tips for feature analysis, hyperparameter tuning, data visualization and more.

  https://www.kdnuggets.com/2020/10/10-underrated-python-skills.html

• The Ethics of AI

  Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about a very important subject - the ethics of AI.

  https://www.kdnuggets.com/2020/10/ethics-ai-qa-farzindar.html

• Data Science in the Cloud with Dask

  Scaling large data analyses for data science and machine learning is growing in importance. Dask and Coiled are making it easy and fast for folks to do just that. Read on to find out how.

  https://www.kdnuggets.com/2020/10/data-science-cloud-dask.html

• Artificial Intelligence for Precision Medicine and Better Healthcare

  In this article, we will focus on various machine learning, deep learning models, and applications of AI which can pave the way for a new data-centric era of discovery in healthcare.

  https://www.kdnuggets.com/2020/09/artificial-intelligence-precision-medicine-better-healthcare.html

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

• 9 Developing Data Science & Analytics Job Trends

  With so much disruption in 2020 already, a recent report by Burtch Works looks ahead to next year and beyond, and shares insights about how today's hiring market trends may impact our work lives for years to come.

  https://www.kdnuggets.com/2020/09/data-science-analytics-job-trends.html

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

• Build Your Own AutoML Using PyCaret 2.0

  In this post we present a step-by-step tutorial on how PyCaret can be used to build an Automated Machine Learning Solution within Power BI, thus allowing data scientists and analysts to add a layer of machine learning to their Dashboards without any additional license or software costs.

  https://www.kdnuggets.com/2020/08/build-automl-pycaret.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

• Speed up your Numpy and Pandas with NumExpr Package">Speed up your Numpy and Pandas with NumExpr Package

  We show how to significantly speed up your mathematical calculations in Numpy and Pandas using a small library.

  https://www.kdnuggets.com/2020/07/speed-up-numpy-pandas-numexpr-package.html

• Stop training more models, start deploying them

  We are hardly living up to the promises of AI in healthcare. It’s not because of our training, it’s because of our deployment.

  https://www.kdnuggets.com/2020/06/stop-training-models-start-deploying.html

• What is emotion AI and why should you care?

  What is emotion AI, why is it relevant, and what do you need to know about it?

  https://www.kdnuggets.com/2020/06/emotion-ai.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

• Taming Complexity in MLOps

  A greatly expanded v2.0 of the open-source Orbyter toolkit helps data science teams continue to streamline machine learning delivery pipelines, with an emphasis on seamless deployment to production.

  https://www.kdnuggets.com/2020/05/taming-complexity-mlops.html

• AI and Machine Learning for Healthcare">AI 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

• Machine Learning in Power BI using PyCaret

  Check out this step-by-step tutorial for implementing machine learning in Power BI within minutes.

  https://www.kdnuggets.com/2020/05/machine-learning-power-bi-pycaret.html

• State of the Machine Learning and AI Industry

  Enterprises are struggling to launch machine learning models that encapsulate the optimization of business processes. These are now the essential components of data-driven applications and AI services that can improve legacy rule-based business processes, increase productivity, and deliver results. In the current state of the industry, many companies are turning to off-the-shelf platforms to increase expectations for success in applying machine learning.

  https://www.kdnuggets.com/2020/04/machine-learning-ai-industry.html

• Top Process Mining Software Companies, Updated

  Understanding the real business processes of a company through analysis of its information systems can guide digital transformations. Here, the top 10 process mining software companies are reviewed that can assist businesses in process optimizations through unique insights of business systems.

  https://www.kdnuggets.com/2020/04/process-mining-software-companies.html

• Can Java Be Used for Machine Learning and Data Science?">Can Java Be Used for Machine Learning and Data Science?

  While Python and R have become favorites for building these programs, many organizations are turning to Java application development to meet their needs. Read on to see how, and why.

  https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.html

• Upcoming Webinars and online events in AI, Data Science, Machine Learning

  Use the time at home productively and learn something new! We bring you a selection of upcoming interesting webinars and online events on AI, Data Science, Machine Learning, and related topics.

  https://www.kdnuggets.com/2020/04/upcoming-webinars-online-events.html

• Introduction to Kubeflow MPI Operator and Industry Adoption

  Kubeflow just announced its first major 1.0 release recently. This post introduces the MPI Operator, one of the core components of Kubeflow, currently in alpha, which makes it easy to run synchronized, allreduce-style distributed training on Kubernetes.

  https://www.kdnuggets.com/2020/03/introduction-kubeflow-mpi-operator-industry-adoption.html

• Nine lessons learned during my first year as a Data Scientist">Nine lessons learned during my first year as a Data Scientist

  What is it like to be a Data Scientist? There can be many hats to wear, and so many problems to solve that are fed with data, churned by data science, and guided by business results. Find out about lessons learned from one Data Scientist about how best to work and perform in the role.

  https://www.kdnuggets.com/2020/03/nine-lessons-first-year-data-scientist.html

• A Beginner’s Guide to Data Integration Approaches in Business Intelligence

  An integrated BI system has a trickle-down effect on all business processes, especially reporting and analytics. Find out how integration can help you leverage the power of BI.

  https://www.kdnuggets.com/2020/03/beginner-guide-data-integration-approaches-business-intelligence.html

• Inside The Machine Learning that Google Used to Build Meena: A Chatbot that Can Chat About Anything

  Meena is one of the major milestones in the history of NLU. How did Google build it?

  https://www.kdnuggets.com/2020/02/inside-machine-learning-google-build-meena-chatbot.html

• The Decade of Data Science

  With the last decade being so strong for the emerging field of Data Science, this review considers current trends in the industry, popular frameworks, helpful tools, and new tools that can be leveraged more in the future.

  https://www.kdnuggets.com/2020/01/decade-data-science.html

• Let’s Build an Intelligent Chatbot

  Check out this step by step approach to building an intelligent chatbot in Python.

  https://www.kdnuggets.com/2019/12/build-intelligent-chatbot.html

• The 4 Hottest Trends in Data Science for 2020">The 4 Hottest Trends in Data Science for 2020

  The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.

  https://www.kdnuggets.com/2019/12/4-hottest-trends-data-science-2020.html

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

• How Data Analytics Can Assist in Fraud Detection

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

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

• Introduction to Natural Language Processing (NLP)

  Have you ever wondered how your personal assistant (e.g: Siri) is built? Do you want to build your own? Perfect! Let’s talk about Natural Language Processing.

  https://www.kdnuggets.com/2019/10/introduction-natural-language-processing.html

• Everything a Data Scientist Should Know About Data Management">Everything 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

• Four questions to help accurately scope analytics engineering project

  Being really good at scoping analytics projects is crucial for team productivity and profitability. You can consistently deliver on time if you work out the issue first, and these four questions can help you prepare.

  https://www.kdnuggets.com/2019/10/four-questions-scope-analytics-engineering-project.html

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

  This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.

  https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

• Build Your First Voice Assistant

  Hone your practical speech recognition application skills with this overview of building a voice assistant using Python.

  https://www.kdnuggets.com/2019/09/build-your-first-voice-assistant.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

• Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal">Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal

  Visually-displayed data is much more accessible, and it’s critical to promptly identify the weaknesses of an organization, accurately forecast trading volumes and sale prices, or make the right business choices.

  https://www.kdnuggets.com/2019/08/simpliv-data-visualization-data-analyst.html

• The Death of Big Data and the Emergence of the Multi-Cloud Era">The Death of Big Data and the Emergence of the Multi-Cloud Era

  The Era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multi-cloud support, machine learning, and real-time analytics.

  https://www.kdnuggets.com/2019/07/death-big-data-multi-cloud-era.html

• Understanding Cloud Data Services">Understanding Cloud Data Services

  Ready to move your systems to a cloud vendor or just learning more about big data services? This overview will help you understand big data system architectures, components, and offerings with an end-to-end taxonomy of what is available from the big three cloud providers.

  https://www.kdnuggets.com/2019/06/understanding-cloud-data-services.html

• Beyond Siri, Google Assistant, and Alexa – what you need to know about AI Conversational Applications

  We discuss industry trends in Artificial Intelligence with Vijay Ramakrishnan, a machine learning engineer and expert in conversational applications.

  https://www.kdnuggets.com/2019/04/ai-conversational-applications.html

• Data Science For Our Mental Development

  In this blog, I aim to generalize how AI can help us with mental development in the future as well as discuss some of the present-day solutions.

  https://www.kdnuggets.com/2019/02/data-science-mental-development.html

• Automated Machine Learning in Python

  An organization can also reduce the cost of hiring many experts by applying AutoML in their data pipeline. AutoML also reduces the amount of time it would take to develop and test a machine learning model.

  https://www.kdnuggets.com/2019/01/automated-machine-learning-python.html

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

• Learning Machine Learning vs Learning Data Science">Learning Machine Learning vs Learning Data Science

  We clarify some important and often-overlooked distinctions between Machine Learning and Data Science, covering education, scalable vs non-scalable jobs, career paths, and more.

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

• The Most in Demand Skills for Data Scientists">The Most in Demand Skills for Data Scientists

  Data scientists are expected to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. How should data scientists who want to be in demand by employers spend their learning budget?

  https://www.kdnuggets.com/2018/11/most-demand-skills-data-scientists.html

• DevOps for Data Scientists: Taming the Unicorn

  How do we version control the model and add it to an app? How will people interact with our website based on the outcome? How will it scale!?

  https://www.kdnuggets.com/2018/07/devops-data-scientists-taming-unicorn.html

• Cookiecutter Data Science: How to Organize Your Data Science Project">Cookiecutter Data Science: How to Organize Your Data Science Project

  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

  https://www.kdnuggets.com/2018/07/cookiecutter-data-science-organize-data-project.html

• Torus for Docker-First Data Science

  To help data science teams adopt Docker and apply DevOps best practices to streamline machine learning delivery pipelines, we open-sourced a toolkit based on the popular cookiecutter project structure.

  https://www.kdnuggets.com/2018/05/torus-docker-first-data-science.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

• Top 10 Technology Trends of 2018">Top 10 Technology Trends of 2018

  In this article, we will focus on the modern trends that took off well on the market by the end of 2017 and discuss the major breakthroughs expected in 2018.

  https://www.kdnuggets.com/2018/04/top-10-technology-trends-2018.html

• A Day in the Life of a Data Scientist: Part 4

  Interested in what a data scientist does on a typical day of work? Each data science role may be different, but these contributors have insight to help those interested in figuring out what a day in the life of a data scientist actually looks like.

  https://www.kdnuggets.com/2018/04/day-life-data-scientist-part-4.html

• Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018">Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018

  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 2017 and their 2018 key trend predictions.

  https://www.kdnuggets.com/2017/12/machine-learning-ai-main-developments-2017-key-trends-2018.html