Sat.Mar 20, 2021 - Fri.Mar 26, 2021

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Everything you need to know about Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introductory Artificial Intelligence is purely math and scientific exercise but. The post Everything you need to know about Machine Learning appeared first on Analytics Vidhya.

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DataRobot CEO calls for ‘a new era of democratization of AI’

Dataconomy

This article was originally published at VentureBeat and has been reproduced with permission. Dan Wright just became CEO of DataRobot, a company valued at more than $2.7 billion that is promising to automate the building, deployment, and management of AI models in a way that makes AI accessible to every.

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8 Revolutionary Applications Examples of Machine Learning in Real-Life

Smart Data Collective

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. From the most subtle advances, like Netflix recommendations, to life-saving medical diagnostics or even writing content , machine learning facilitates it all. Due to its constant learning and evolution, the algorithms are able to adapt based on success and failure.

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Choosing Problems in Data Science and Machine Learning

Eugene Yan

Short vs. long-term gain, incremental vs. disruptive innovation, and resume-driven development.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Common terminologies used in Machine Learning and Artificial Intelligence

Analytics Vidhya

ArticleVideo Book Introduction In this article, we’ll introduce you to various common terminologies used in the machine learning and artificial intelligence industry. Without any. The post Common terminologies used in Machine Learning and Artificial Intelligence appeared first on Analytics Vidhya.

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New research suggests young digital natives lack the data literacy employers crave

Dataconomy

Exasol, a high-performance analytics database company, today launched its new study’s findings into the attitudes and understanding that young people – “digitial natives” – currently in higher education or just entering the world of work have towards data. The study of 3,000 16- to 21-year-olds (coined D/NATIVES by Exasol because of their.

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Alation State of Data Culture Report: Bad Data Spells Trouble for AI

Alation

The third installment of the quarterly Alation State of Data Culture Report was recently released, highlighting the data challenges enterprises face as they continue investing in artificial intelligence (AI). While AI is the number one data and analytics priority for respondents, nearly 90% are concerned about data quality issues leading to AI failures.

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Introducing Machine Learning for Spatial Data Analysis

Analytics Vidhya

ArticleVideo Book This article discusses Machine Learning in Geographic Information System GIS, in other words, Machine Learning for spatial data analysis. Usually, we can. The post Introducing Machine Learning for Spatial Data Analysis appeared first on Analytics Vidhya.

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TalkPython - What ML can Teach Us About Life

Eugene Yan

Mike and I take a philosophical detour on Talk Python and discuss life lessons from machine learning.

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How to Set up a Predictive Maintenance Project that is Set for Success

Smart Data Collective

The predictive maintenance industry has a great impact on the life of equipment. The process aims to reduce machine downtime, enabling, for example, better maintenance planning. However, the project needs to be well developed for a good monitoring of production. According to data from the US Department of Energy, the savings generated by the application of this model reach up to 30% in maintenance costs, with a reduction of approximately 75% in downtime and up to 45% in downtime.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Data Privacy Laws Are Evolving: Expert Advice on Compliance

Dataversity

Click here to learn more about John Noltensmeyer. Virginia’s governor recently signed the Consumer Data Protection Act (CDPA), only the second comprehensive data privacy law in the United States after the California Consumer Privacy Act of 2018 (CCPA). The passage of this law means that businesses now have two new state-specific regulations to prepare for […].

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Gradient Boosting Machine for Data Scientists

Analytics Vidhya

ArticleVideo Book Objective Boosting is an ensemble learning technique where each model attempts to correct the errors of the previous model. Learn about the. The post Gradient Boosting Machine for Data Scientists appeared first on Analytics Vidhya.

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Powering Your Customer Engagement Strategy Using Online & Offline Data

Twilio Segment

Learn how to take your offline and online data from Segment and Twilio, and join it all together to get a 360-degree picture of the entire customer journey.

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6 Criteria for Choosing an IoT Application Development Partner

Smart Data Collective

According to the Gartner Institute, there were 5.8 billion devices connected to the IoT in 2020, increasing productivity and business efficiency. With so much potential for user participation and growth, you may be looking for IOT software development partner to create your own IoT, which is an excellent idea. However, choosing the right partner to develop an IoT application should be made with caution, as IoT applications are more complex than traditional mobile applications that many software

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Where Is the Data Technology Industry Headed?

Dataversity

Click here to learn more about Heine Krog Iversen. We recently read reports about plans for Talend to be acquired by Thoma Bravo, a private equity investment firm. This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed?

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Common Tools used in Data Science Spectrum

Analytics Vidhya

ArticleVideo Book Introduction In the previous article, Common Data Capturing Types and Tools, we got an understanding of different tools and ways of capturing. The post Common Tools used in Data Science Spectrum appeared first on Analytics Vidhya.

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Broad Institute Sees Key Role for AI and Machine Learning in Medicine

DataRobot

The Broad Institute was launched in 2004 to seize the opportunity offered by the Human Genome Project, the international research effort to identify and map all of the genes of the human genome. Its founding scientists hoped a research institution built to focus on the genetic basis for disease could drive great progress in medical understanding, diagnosis, and treatment.

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Ways for Data-Driven Organizations to Backup Oracle With 3rd Party Tools

Smart Data Collective

There are a lot of important platforms and tools for data-driven organizations to take advantage. One of the best platforms for companies that care about the benefits of big data is Oracle. If you are a company that is using Oracle to leverage your big data strategy, then you need to know how to get the most out of it. This entails making sure that your data properly backed up.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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2021 Predictions: Data Protection and Mobility Basics More Important Than Ever

Dataversity

Click to learn more about author Charles Burger. Around the globe, an audible sigh of relief was heard as we entered a new year and left 2020 behind for the history books. Last year’s focus on crisis management and uncertainty due to the global COVID-19 pandemic made long-term thinking difficult, and only the most agile […]. The post 2021 Predictions: Data Protection and Mobility Basics More Important Than Ever appeared first on DATAVERSITY.

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Artificial Intelligence – Threat to the World

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. ” We create our own demons “ The destructions caused. The post Artificial Intelligence – Threat to the World appeared first on Analytics Vidhya.

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Common Data Capturing Types and Tools

Analytics Vidhya

ArticleVideo Book Introduction We saw the Data Science spectrum in the previous article, Common terminologies used in Machine Learning and Artificial Intelligence, but what. The post Common Data Capturing Types and Tools appeared first on Analytics Vidhya.

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Tokenization and Text Normalization

Analytics Vidhya

ArticleVideo Book Objective Text data is a type of unstructured data used in natural language processing. Understand how to preprocess the text data before. The post Tokenization and Text Normalization appeared first on Analytics Vidhya.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Introduction to Image Segmentation for Data Science

Analytics Vidhya

ArticleVideo Book Objective Computer vision is being widely used in the industry. You must have come across the applications where computer vision played a. The post Introduction to Image Segmentation for Data Science appeared first on Analytics Vidhya.

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Career in Machine Learning and Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction image source-dreamstime.com Machine Learning and Data Science are. The post Career in Machine Learning and Data Science appeared first on Analytics Vidhya.

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Beginners Guide to Robotics With Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Robotics With Python Robotics- the integration of core disciplines to. The post Beginners Guide to Robotics With Python appeared first on Analytics Vidhya.

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Kickstart Guide to Become a M-A-D Programmer

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Artificial Intelligence – Machine Learning – Deep Learning – Data. The post Kickstart Guide to Become a M-A-D Programmer appeared first on Analytics Vidhya.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Popular Python Data Structures: Comparison & Operations

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Python is one of the most popular languages for Data. The post Popular Python Data Structures: Comparison & Operations appeared first on Analytics Vidhya.

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Must Known Vector Norms in Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In this article, you will find the different ways. The post Must Known Vector Norms in Machine Learning appeared first on Analytics Vidhya.

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How to select Best Split in Decision Trees using Chi-Square

Analytics Vidhya

ArticleVideo Book Introduction Welcome back! In the previous article, we learned about Gini impurity which we use to decide the purity of nodes. There. The post How to select Best Split in Decision Trees using Chi-Square appeared first on Analytics Vidhya.

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Fighting Data Bias – Everyone’s Responsibility

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What is Bias? Most of you might have watched or. The post Fighting Data Bias – Everyone’s Responsibility appeared first on Analytics Vidhya.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!