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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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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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.

Database 121
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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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Top BI and Analytics Tools for Data-Driven Businesses

Smart Data Collective

Business reporting has been around for a long time but the tools and techniques of business intelligence have refined over time and now with the recent popularity of data driven business approach, data has been identified as the most valuable asset of a business and data analytics and reporting has finally found a key place in the business world. Nearly 70% of all companies have a data-driven strategy to grow their organization.

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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.

ML 100
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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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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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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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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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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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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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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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 Ensure Your New Cloud Data Lake Is Secure

Dataversity

Click to learn more about author Brian Lachance. Enterprises migrating on-prem data environments to the cloud in pursuit of more robust, flexible, and integrated analytics and AI/ML capabilities are fueling a surge in cloud data lake implementations. The rationale is justified: Compared with legacy on-prem infrastructure, cloud data lakes – if implemented correctly – promise […].

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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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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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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.

AI 105
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What Is Spearman’s Rank Correlation and How Is It Useful for Business Analysis?

Dataversity

Click to learn more about author Kartik Patel. This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. What Is Spearman’s Rank Correlation? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease […].

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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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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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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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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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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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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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How to select Best Split in Decision trees using Gini Impurity

Analytics Vidhya

ArticleVideo Book Introduction In the previous article- How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes, you understood the basics. The post How to select Best Split in Decision trees using Gini Impurity 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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You’d be surprised: Artificial Intelligence is already in marketing!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Source MRFR predicts the global AI market will have. The post You’d be surprised: Artificial Intelligence is already in marketing! appeared first on Analytics Vidhya.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.