Search results for hybrid cloud

Found 114 documents, 13739 searched:

• KDnuggets Exclusive: Marten Mickos, SVP, HP on Why the Future Belongs to “Hybrid Clouds”

  In an exclusive interview with KDnuggets, Marten talks about the future of Eucalyptus (recently acquired by HP), defines Hybrid Clouds and their importance, and gives some tips for vendor selection.

  https://www.kdnuggets.com/2014/11/interview-marten-mickos-hp-future-hybrid-clouds.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

• Feature Engineering in SQL and Python: A Hybrid Approach">Feature Engineering in SQL and Python: A Hybrid Approach

  Set up your workstation, reduce workplace clutter, maintain a clean namespace, and effortlessly keep your dataset up-to-date.

  https://www.kdnuggets.com/2020/07/feature-engineering-sql-python-hybrid-approach.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

• CloudStream: Data Scientist

  Seeking a candidate will work in the Search and Data Science department to help develop and grow data science capabilities. The day-to-day job will involve managing hybrid teams of data scientists, search analysts and behavioral economists.

  https://www.kdnuggets.com/jobs/17/12-14-cloudstream-search-data-science-team.html

• The Internet of Things in the Cloud

  Cloud computing is the next evolutionary step in Internet-based computing, which provides the means for delivering ICT resources as a service. Internet-of-Things can benefit from the scalability, performance and pay-as-you-go nature of cloud computing infrastructures.

  https://www.kdnuggets.com/2017/05/internet-of-things-iot-cloud.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

• Cloud Computing Key Terms, Explained

  A concise overview of 20 core cloud computing ecosystem concepts. The focus here is on the terminology, not The Big Picture.

  https://www.kdnuggets.com/2016/06/cloud-computing-key-terms-explained.html

• KDnuggets Exclusive: Marten Mickos, SVP, HP on the Role of Open Source in Cloud industry

  In an exclusive interview with KDnuggets, Marten talks about HP’s Open Source strategy, evolution of Open Source production model, learning from the success of Open Source in Web, trends and more.

  https://www.kdnuggets.com/2014/11/interview-marten-mickos-hp-open-source-cloud.html

• SiSense first In-Chip Analytics Solution in the Cloud

  SiSense makes Terabyte-range analytics workloads in the Cloud easy and affordable, with costs as low as $1/TB per hour. SiSense will work with Rackspace to reduce cost and complexity from Big Data Cloud deployments.

  https://www.kdnuggets.com/2013/06/sisense-first-in-chip-analytics-solution--cloud.html

• SiSense first In-Chip Analytics Solution in the Cloud

  SiSense makes Terabyte-range analytics workloads in the Cloud easy and affordable, with costs as low as $1/TB per hour. SiSense will work with Rackspace to reduce cost and complexity from Big Data Cloud deployments.

  https://www.kdnuggets.com/2013/06/sisense-first-in-chip-analytics-solution--cloud.html

• Meet Neebo: The Virtual Analytics Hub

  Neebo is a SaaS solution that enables analytics teams to connect to, find, combine and collaborate on trusted data assets in hybrid cloud landscapes, and provides a unified access point where they can more effectively leverage all their analytics assets and knowledge. In this blog, we will highlight some of the features of Neebo and how they can completely transform the way analytics teams operate.

  https://www.kdnuggets.com/2019/11/neebo-virtual-analytics-hub.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

• The Complete Collection of Data Science Books – Part 1

  Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-1.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

• 11 Best Companies to Work for as a Data Scientist

  This list of best data science companies aims to go beyond the usual and expected. Some great and perhaps underrated options to get a job as a data scientist.

  https://www.kdnuggets.com/2021/12/11-best-companies-work-data-scientist.html

• Accelerating AI with MLOps

  Companies are racing to use AI, but despite its vast potential, most AI projects fail. Examining and resolving operational issues upfront can help AI initiatives reach their full potential.

  https://www.kdnuggets.com/2021/11/accelerating-ai-mlops.html

• Top YouTube Machine Learning Channels

  These are the top 15 YouTube channels for machine learning as determined by our stated criteria, along with some additional data on the channels to help you decide if they may have some content useful for you.

  https://www.kdnuggets.com/2021/03/top-youtube-machine-learning-channels.html

• 5 strategies for enterprise machine learning for 2021

  While it is important for enterprises to continue solving the past challenges in a machine learning pipeline (manage, monitor, track experiments and models) in 2021 enterprises should focus on strategies to achieve scalability, elasticity and operationalization of machine learning.

  https://www.kdnuggets.com/2020/12/5-strategies-enterprise-machine-learning-2021.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

• Industry AI, Analytics, Machine Learning, Data Science Predictions for 2020

  Predictions for 2020 from a dozen innovative companies in AI, Analytics, Machine Learning, Data Science, and Data industry.

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

• Apple: Software Engineer, Ad Platforms [Cupertino, CA]

  Seeking an engineer for the Core Services Platform team, which designs and builds best of breed systems for dealing with our complex and ever-growing data and infrastructure platform needs that help run campaigns and deliver advertising content deliver advertising data to Ad Server and Big Data pipelines.

  https://www.kdnuggets.com/jobs/19/05-21-apple-software-engineer.html

• Strata SF day 2 Highlights: AI and Politics, Chatbots Insights, Forecasting Uncertainty, Scalable Video Analysis, and more

  AI influencing Politics, insights from Chatbots, Enterprise Data Cloud, handling Video Big Data, and more takeaways from Strata Data Conference 2019, San Francisco.

  https://www.kdnuggets.com/2019/05/strata-san-francisco-day-2-highlights.html

• Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms">Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms

  We compare Gartner 2019 MQ for Data Science, Machine Learning Platforms to its previous versions and identify notable changes for leaders and challengers, including RapidMiner, KNIME, TIBCO, Alteryx, Dataiku, SAS, and MathWorks.

  https://www.kdnuggets.com/2019/02/gartner-2019-mq-data-science-machine-learning-changes.html

• Top 10 Technology Trends of 2019">Top 10 Technology Trends of 2019

  This article outlines 10 top trending technologies for 2019, a list which covers diverse topics such as security, IoT, reinforcement learning, energy sustainability, smart cities, and much more.

  https://www.kdnuggets.com/2019/02/top-10-technology-trends-2019.html

• Industry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018">Industry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018

  Here is a treasure trove of analysis and predictions from 17 leading companies in AI, Big Data, Data Science, and Machine Learning: What happened in 2017 and what will 2018 bring?

  https://www.kdnuggets.com/2017/12/industry-predictions-main-developments-2017-trends.html

• Big Data: Main Developments in 2017 and Key Trends in 2018">Big Data: 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 Big Data experts as to the most important developments of 2017 and their 2018 key trend predictions.

  https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

• Learn from Legends in Machine Learning, Open Source in 3 Days

  More than 400 of the sharpest minds in the industry will meet at Postgres Vision June 26-28 in Boston. The goal is to envision the future for enterprises striving to harvest greater strategic value and actionable insight from their data.

  https://www.kdnuggets.com/2017/05/postgres-legends-machine-learning-open-source.html

• Open Source is Central to the Data Management Conversation, Boston, June 26-28

  Open source dominates the data management conversation. Postgres Vision, June 26-28, Boston, explores the business value realized from innovative solutions and strategies. Use code KDPV17 to save.

  https://www.kdnuggets.com/2017/04/postgres-open-source-central-data-management-conversation.html

• AI, Data Science, Machine Learning: Main Developments in 2016, Key Trends in 2017

  2017 is here. Check out an encore installation in our "Main Developments in 2016 and Key Trends in 2017" series, where experts weigh in with their opinions.

  https://www.kdnuggets.com/2017/01/ai-data-science-machine-learning-key-trends.html

• Industry Predictions: Key Trends in 2017

  With 2017 almost upon us, KDnuggets brings you opinions from industry leaders as to what the relevant and most important 2017 key trends will be.

  https://www.kdnuggets.com/2016/12/industry-predictions-key-trends-2017.html

• The Experience of Being a High-Performing Data Scientist

  Now in open beta, IBM Data Science Experience (DSX) delivers Machine Learning, Collaboration, and Creative capabilities in an open and integrated environment for team data science, including many productivity features for next-generation data science,

  https://www.kdnuggets.com/2016/11/ibm-dsx-data-science-experience.html

• Bain: Data Architect Manager

  Seeking a Data Architect Manager to work with consulting teams to understand and translate business problems, help to increase consulting staff’s knowledge of Advanced Analytics and Data Science, and develop/implement various data tools.

  https://www.kdnuggets.com/jobs/16/05-20-bain-data-architect-manager.html

• Boosting Productivity of the Next-Generation Data Scientist: IBM June 6 event

  On June 6, IBM will share important announcements for making R, Spark, and open data science a sustainable business reality at the Apache Spark Maker Community Event in San Francisco, Attend in person or watch live.

  https://www.kdnuggets.com/2016/05/ibm-boosting-productivity-data-scientist-june-event.html

• KDnuggets™ News 14:n30, Nov 19

  Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n30.html

• ASE International Conference on Big Data Science 2014: Day 3 Highlights

  Highlights from the presentations by Data Science leaders from UC Davis, UT Dallas, Northrop Grumman Corp and NIST on day 3 of ASE Conference on Big Data Science 2014 held in Stanford University.

  https://www.kdnuggets.com/2014/08/ase-conference-big-data-science-day3.html

• 11 segments of Big Data Ecosystem, according to Sqrrl

  Sqrrl, a Big Data startup founded by the ex-NSA engineers, breaks down Big Data Market into 11 segments.

  https://www.kdnuggets.com/2013/03/sqrrl-view-big-data-ecosystem.html

• A List of 7 Best Data Modeling Tools for 2023

  Learn about data modeling tools to create, design and manage data models, allowing data scientists to access and use them more quickly.

  https://www.kdnuggets.com/2023/03/list-7-best-data-modeling-tools-2023.html

• 5 SQL Visualization Tools for Data Engineers

  This article will discuss SQL visualization, its role in augmenting the modern-day data engineer, and five categories of SQL visualization tools.

  https://www.kdnuggets.com/2023/02/5-sql-visualization-tools-data-engineers.html

• Data Lakes and SQL: A Match Made in Data Heaven

  In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

  https://www.kdnuggets.com/2023/01/data-lakes-sql-match-made-data-heaven.html

• 7 Things You Didn’t Know You Could do with a Low Code Tool

  Surprisingly easy solutions for complex data problems.

  https://www.kdnuggets.com/2022/09/7-things-didnt-know-could-low-code-tool.html

• The Definitive Guide To Switching Your Career Into Data Science

  Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

  https://www.kdnuggets.com/2022/05/definitive-guide-switching-career-data-science.html

• High Availability SQL Server Docker Containers in Kubernetes

  Need high availability for SQL Server Docker containers in Kubernetes? Here’s how to get it.

  https://www.kdnuggets.com/2022/04/high-availability-sql-server-docker-containers-kubernetes.html

• 5 Reasons to Reconnect at ODSC East 2022

  ODSC East is less than a month away - here are five reasons why you should attend, such as learning about trending topics, amazing Keynotes, and the AI Expo Hall.

  https://www.kdnuggets.com/2022/03/odsc-5-reasons-reconnect-odsc-east-2022.html

• Cutting Down Implementation Time by Integrating Jupyter and KNIME

  Are you a KNIME fan or a Jupyter fan? Well, here you don’t have to choose.

  https://www.kdnuggets.com/2021/12/cutting-implementation-time-integrating-jupyter-knime.html

• Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022

  We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

  https://www.kdnuggets.com/2021/12/developments-predictions-data-science-analytics-industry.html

• Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2021/12/trends-ai-data-science-ml-technology.html

• Should You Become a Freelance Artificial Intelligence Engineer?

  Take the first step towards your machine learning engineering career and explore the UC San Diego Extension Machine Learning Engineering Bootcamp today. Those with prior software engineering or data science experience are encouraged to apply.

  https://www.kdnuggets.com/2021/12/ucsd-become-freelance-artificial-intelligence-engineer.html

• Level-Up This November with the ODSC West 2021 Keynotes and Training Sessions

  At ODSC West 2021 this November 16th-18th, we’ll have 80+ training sessions and workshops on essential tools and languages led by some of the best and brightest minds in data science and AI.

  https://www.kdnuggets.com/2021/10/odsc-west-2021-keynotes-training-sessions.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

• Bootstrap a Modern Data Stack in 5 minutes with Terraform">Bootstrap a Modern Data Stack in 5 minutes with Terraform

  What is a Modern Data Stack and how do you deploy one? This guide will motivate you to start on this journey with setup instructions for Airbyte, BigQuery, dbt, Metabase, and everything else you need using Terraform.

  https://www.kdnuggets.com/2021/08/bootstrap-modern-data-stack-terraform.html

• MLOps is an Engineering Discipline: A Beginner’s Overview

  MLOps = ML + DEV + OPS. MLOps is the idea of combining the long-established practice of DevOps with the emerging field of Machine Learning.

  https://www.kdnuggets.com/2021/07/mlops-engineering-discipline.html

• StreamSets DataOps Platform – Summer ‘21 Public Beta. Sign up today!

  Introducing StreamSets DataOps Platform - Summer ‘21 Public Beta! Bringing DataOps to the Cloud for Enterprises.

  https://www.kdnuggets.com/2021/06/streamsets-dataops-platform-summer-public-beta.html

• BigQuery vs Snowflake: A Comparison of Data Warehouse Giants

  In this article we are going to compare the two topmost data warehouses: BigQuery and Snowflake.

  https://www.kdnuggets.com/2021/06/bigquery-snowflake-comparison-data-warehouse-giants.html

• Choosing the Right BI Tool for Your Business

  Here are six questions to ask as you search for the best BI tool for your specific needs.

  https://www.kdnuggets.com/2021/05/choosing-right-bi-tool-business.html

• AIRSIDE LIVE Is Where Big Data, Data Security and Data Governance Converge

  Free virtual summit on June 3rd offers sessions from data industry leaders and practitioners on challenges and solutions in an ever-changing, data-driven landscape.

  https://www.kdnuggets.com/2021/05/okera-airside-security-data-governance.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

• 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

• 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

• 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

• Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology">Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2020 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2020/12/developments-trends-ai-data-science-machine-learning-technology.html

• Kubernetes vs. Amazon ECS for Data Scientists

  In this article, we’ll look at two container management solutions — Kubernetes and Amazon Elastic Container Service (ECS) — from a perspective that makes sense for aspiring and current data scientists.

  https://www.kdnuggets.com/2020/11/kubernetes-amazon-ecs-data-scientists.html

• A Tour of End-to-End Machine Learning Platforms

  An end-to-end machine learning platform needs a holistic approach. If you’re interested in learning more about a few well-known ML platforms, you’ve come to the right place!

  https://www.kdnuggets.com/2020/07/tour-end-to-end-machine-learning-platforms.html

• Scope and Impact of AI in Agriculture

  The major advantage of focusing on AI-based methods is that they tackle each of the challenges faced by farmers from seed sowing to harvesting of crops separately and rather than generalising, provide customised solutions to a specific problem.

  https://www.kdnuggets.com/2020/07/scope-impact-ai-agriculture.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

• Building a Mature Machine Learning Team

  After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.

  https://www.kdnuggets.com/2020/03/mature-machine-learning-team.html

• Sharing your machine learning models through a common API

  DEEPaaS API is a software component developed to expose machine learning models through a REST API. In this article we describe how to do it.

  https://www.kdnuggets.com/2020/02/sharing-machine-learning-models-common-api.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

• What is Data Catalog and Why You Should Care?

  Learn why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration.

  https://www.kdnuggets.com/2019/12/data-catalog.html

• Google’s New Explainable AI Service">Google’s New Explainable AI Service

  Google has started offering a new service for “explainable AI” or XAI, as it is fashionably called. Presently offered tools are modest, but the intent is in the right direction.

  https://www.kdnuggets.com/2019/12/googles-new-explainable-ai-service.html

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

  We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

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

• The Rise of User-Generated Data Labeling

  Let’s say your project is humongous and needs data labeling to be done continuously - while you’re on-the-go, sleeping, or eating. I’m sure you’d appreciate User-generated Data Labeling. I’ve got 6 interesting examples to help you understand this, let’s dive right in!

  https://www.kdnuggets.com/2019/12/rise-user-generated-data-labeling.html

• Jobs in Data Science, Machine Learning, AI & Analytics

  To add a free short entry here for a job related to Data Science, Machine Learning, AI or Analytics, email the following 5 items to Read more »

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

• Manual Coding or Automated Data Integration – What’s the Best Way to Integrate Your Enterprise Data?

  What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? Find out the approach that best fits your organization’s needs and the factors that influence it.

  https://www.kdnuggets.com/2019/08/manual-coding-automated-data-integration-best-way.html

• Domain-Specific Language Processing Mines Value From Unstructured Data

  Processing unstructured text data in real-time is challenging when applying NLP or NLU. Find out how Domain-Specific Language Processing can also help mine valuable information from data by following your guidance and using the language of your business.

  https://www.kdnuggets.com/2019/08/domain-specific-language-processing.html

• Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree

  This cheatsheet should be easier to digest than the official documentation and should be a transitional tool to get students and beginners to get started reading documentations soon.

  https://www.kdnuggets.com/2019/08/pytorch-cheat-sheet-beginners.html

• Top 10 roles in AI and data science">Top 10 roles in AI and data science

  When you think of the perfect data science team, are you imagining 10 copies of the same professor of computer science and statistics, hands delicately stained with whiteboard marker? We hope not!

  https://www.kdnuggets.com/2018/08/top-10-roles-ai-data-science.html

• 5 Things You Need to Know about Sentiment Analysis and Classification">5 Things You Need to Know about Sentiment Analysis and Classification

  We take a look at the important things you need to know about sentiment analysis, including social media, classification, evaluation metrics and how to visualise the results.

  https://www.kdnuggets.com/2018/03/5-things-sentiment-analysis-classification.html

• Best Masters in Data Science and Analytics in US/Canada

  Second comprehensive list of master's degrees in the US and Canada with tuition information and duration.

  https://www.kdnuggets.com/2017/11/best-masters-data-science-analytics-us-canada.html

• Upcoming Meetings in Analytics, Big Data, Data Science, Machine Learning: November 2017 and Beyond

  Coming soon: ODSC West, MLconf San Francisco, PAW Berlin, IEEE ICDM New Orleans, Data Marketing Toronto, Big Data & Analytics Innovation Summit Beijing, Chief Data Scientist San Francisco, and many more.

  https://www.kdnuggets.com/2017/11/upcoming-meetings-analytics-big-data-science-machine-learning.html

• The Easy Button for R & Python on Spark, Webinar Oct 18

  Learn five solid reasons to use managed services for Cloudera for R, Python and other advanced analytics on Spark & Hadoop in the cloud.

  https://www.kdnuggets.com/2017/09/cazena-easy-button-r-python-spark.html

• Using Apache SystemML(tm) with Hortonworks Data Platform

  Learn how to add Apache SystemML to an existing Hortonworks Data Platform (HDP) 2.6.1 cluster for Apache Spark. Users interested in Python, Scala, Spark, or Zeppelin can run Apache SystemML as described here.

  https://www.kdnuggets.com/2017/09/ibm-apache-systemml-hortonworks-data-platform.html

• The Rise of GPU Databases">The Rise of GPU Databases

  The recent but noticeable shift from CPUs to GPUs is mainly due to the unique benefits they bring to sectors like AdTech, finance, telco, retail, or security/IT . We examine where GPU databases shine.

  https://www.kdnuggets.com/2017/08/rise-gpu-databases.html

• Unsupervised Investments: A Comprehensive Guide to AI Investors

  This article presents a list of 80 funds investing in Artificial Intelligence and Machine Learning.

  https://www.kdnuggets.com/2017/03/unsupervised-investments-guide-ai-investors.html

• The HPI Future SOC Lab offers researchers free access to a powerful Big Data infrastructure

  The HPI Future SOC (Service-Oriented Computing) Lab is a cooperation of the Hasso Plattner Institute (HPI) and industrial partners, providing free access to a powerful Big Data & Computing infrastructure. It is now accepting project proposals for 2017.

  https://www.kdnuggets.com/2017/03/hpi-future-soc-lab-free-access-powerful-infrastructure.html

• Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning

    To add here a short entry for an academic or research position related to AI, Big Data, Data Science, or Machine Learning, email 5 Read more »

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

• Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017">Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017

  As 2016 comes to a close and we prepare for a new year, check out the final instalment in our "Main Developments in 2016 and Key Trends in 2017" series, where experts weigh in with their opinions.

  https://www.kdnuggets.com/2016/12/machine-learning-artificial-intelligence-main-developments-2016-key-trends-2017.html

• Predictions for Deep Learning in 2017

  The first hugely successful consumer application of deep learning will come to market, a dominant open-source deep-learning tool and library will take the developer community by storm, and more Deep Learning predictions.

  https://www.kdnuggets.com/2016/12/ibm-predictions-deep-learning-2017.html

• Analytics help app developer conceive of new possibilities

  By now, we all have realised the power of IoT, Mobile Apps, Big Data and Analytics. Now it’s time to use this power in every possible way for complete well being of everyone in the world. Let’s read this interesting article on Women Health Care Mobile Apps and Data Analytics.

  https://www.kdnuggets.com/2016/11/analytics-app-developer-new-possibilities.html

• How to Make Your Database 200x Faster Without Having to Pay More

  Waiting long for a BI query to execute? I know it’s annoyingly frustrating… It’s a major bottle neck in day-to-day life of a Data Analyst or BI expert. Let’s learn some of the easy to use solutions and a very good explanation of why to use them, along with other advanced technological solutions.

  https://www.kdnuggets.com/2016/11/make-database-200x-faster.html

• 13 Forecasts on Artificial Intelligence

  Once upon a time, Artificial Intelligence (AI) was the future. But today, human wants to see even beyond this future. This article try to explain how everyone is thinking about the future of AI in next five years, based on today’s emerging trends and developments in IoT, robotics, nanotech and machine learning.

  https://www.kdnuggets.com/2016/11/13-forecasts-on-artificial-intelligence.html

• What the Next Generation of IoT Sensors Have in Store

  This post is an overview of some of the next-generation IoT sensors, and what they could mean for our future.

  https://www.kdnuggets.com/2016/07/next-generation-iot-sensors.html

• Intel’s Investments in Cognitive Tech: Impact and New Opportunities

  An overview of Intel's recent investments in cognitive technology, the impact of these investments on technology and research, and the new opportunities these investments present.

  https://www.kdnuggets.com/2016/05/intel-investment-cognitive-tech-impact-new-opportunities.html

• Turn your company into a data science-driven business in 6 steps

  Transforming your business with (big) data analytics and data-driven insights is not a one-time event, but a journey. Here are 6 steps to help enterprises become data-science driven business and enjoy benefits along the way.

  https://www.kdnuggets.com/2016/04/company-data-science-driven-business-6-steps.html

• Engineers Shouldn’t Write ETL: A Guide to Building a High Functioning Data Science Department

  An exploration of data science team building, with insight into why engineers should not write ETL, and other not-so-subtle pieces of advice.

  https://www.kdnuggets.com/2016/03/engineers-shouldnt-write-etl.html

• HPI Future SOC Lab offers researchers free access to a powerful Big Data & Computing infrastructure

  The HPI Future SOC (Service-Oriented Computing) Lab is a cooperation of the Hasso Plattner Institute (HPI) and industrial partners, providing free access to a powerful Big Data & Computing infrastructure. It is now accepting project proposals.

  https://www.kdnuggets.com/2016/02/hpi-future-soc-lab-free-access-powerful-infrastructure.html

• 3 Biggest Challenges of a Data Scientist

  A data scientist worth his salt uses applications that help him surmount the three key challenges to his job. Here is how ClicData can help.

  https://www.kdnuggets.com/2016/02/clicdata-3-biggest-challenges-data-scientist.html

• 2nd Annual Global Data Science Conference, March 7-9, Santa Clara

  2nd Annual Global Data Science conference features sessions on sharing real world experiences, how to create a balanced big data science team, interesting panels, keynotes by top experts, and a workshop. Use code KDNUGGETS to save.

  https://www.kdnuggets.com/2016/02/global-data-science-conference-santa-clara-march.html

• Kohls: Manager, Big Data Customer Insights

  Execute and manage a team to support structure, processing, and analyzing of high volume, high velocity, or other resource intensive data to generate insight to influence marketing business decisions.

  https://www.kdnuggets.com/jobs/15/09-01-kohls-manager-big-data-customer-insights.html

• Interview: Anil Gadre, MapR on What it takes to Automate Data-to-Action?

  We discuss how analytics can impact the business “as-it-happens”, merging business analytics with production operations, transition challenges, and recently announced partnership with Teradata.

  https://www.kdnuggets.com/2015/06/interview-anil-gadre-mapr-data-to-action.html

• Virginia Tech: Data Engineer

  The Discovery Analytics Center applies cutting edge machine learning to forecast worldwide events using Twitter, Facebook, Google News, and blogs. Data engineer will help harness and curate the ever-growing influx of data.

  https://www.kdnuggets.com/jobs/15/06-15-vt-data-engineer.html

• KDnuggets™ News 15:n11, Apr 15: Big Data Predictive Analytics Gainers & Losers; Awesome Public Datasets

  Awesome Public Datasets on GitHub; Gold Mine or Blind Alley? Functional Programming for Machine Learning; Inside Deep Learning - Convolutional networks; KDnuggets Free Pass to Strata Hadoop World London.

  https://www.kdnuggets.com/2015/n11.html

• Text Analytics 2015 – Technology and Market Overview

  A leading analyst and expert on text analytics gives an overview of the past year and looks ahead on text analytics technology and market developments.

  https://www.kdnuggets.com/2015/03/text-analytics-2015-technology-market-overview.html

• Interview: Vince Darley, King.com on the Serious Analytics behind Casual Gaming

  We discuss key characteristics of social gaming data, ML use cases at King, infrastructure challenges, major problems with A-B testing and recommendations to resolve them.

  https://www.kdnuggets.com/2015/03/interview-vince-darley-king-analytics-gaming.html

• Interview: Dave McCrory, Basho on Distributed Database Needs of a Future Enterprise

  We discuss the future of distributed storage for enterprise, Scale-up vs. Scale-out, software design patterns in Cloud era, microservices model and the place for legacy database in modern enterprise IT.

  https://www.kdnuggets.com/2015/03/interview-dave-mccrory-basho-distributed-databases.html

• KDnuggets™ News 14:n33, Dec 10

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

  https://www.kdnuggets.com/2014/n33.html

• Top KDnuggets tweets, Jun 20-22: Great visualization of English letters; Good list of R functions to manipulate data

  Great visualization: English letters in words; Good list of R functions to manipulate data; Watch: Practical Deep-Learning Lecture: Machine Perception and Applications; Wikipedia Usage Statistics - analyze this 4TB data set in AWS cloud.

  https://www.kdnuggets.com/2014/06/top-tweets-jun20-22.html

• Interview: Prateek Jain, Director of Engineering, eHarmony on Fast Search and Sharding

  We discuss Big Data architecture, fast multi-attribute searches, database sharding and scaling challenges at eHarmony.

  https://www.kdnuggets.com/2014/05/interview-prateek-jain-eharmony-search-sharding.html

• Big Data Innovation Summit 2014 Santa Clara: Highlights of Selected Talks on Day 1

  Highlights from the presentations by big data technology practitioners from eBay, YarcData, LinkedIn, Trulia, and other leading companies on day 1 of Big Data Innovation Summit 2014 in Santa Clara.

  https://www.kdnuggets.com/2014/04/big-data-innovation-summit-2014-talks-day1.html

• Upcoming Webcasts on Analytics, Big Data, Data Science – April 3 and beyond

  HP Vertica, Hadoop Data Warehouse with Impala, In-Database Scalable R & Python, Data Mining Failure To Launch, What Is Hadoop and Where Is It Going, and more.

  https://www.kdnuggets.com/2014/04/upcoming-webcasts-apr3-analytics-big-data-science.html

• KDnuggets™ News 13:n23, Sep 24

  Features (8) | Software (3) | Webcasts (2) | Courses, Events (4) | Meetings (3) | Jobs (10) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n23.html

• Text Analysis, Text Mining, and Information Retrieval Software

  http likes 47 Commercial | online | free On-line Text Mining / Text Analytics Tools Ranks.nl, keyword analysis and webmaster tools. Text Sentiment Visualizer (online), Read more »

  https://www.kdnuggets.com/software/text.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