Analytics Vidhya

MARCH 26, 2021

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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Data Science Publishing Analytics Machine Learning 378

Smart Data Collective

MARCH 26, 2021

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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Machine Learning Interactive Deep Learning Technology 140

Analytics Vidhya

MARCH 26, 2021

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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Machine Learning Data Science Publishing Analytics 323

DataKitchen

MARCH 26, 2021

The post How the DataKitchen Platform Delivers End-to-End Data Observability first appeared on DataKitchen.

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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.

Experimentation

Analytics Vidhya

MARCH 26, 2021

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.

Machine Learning 318

Machine Learning Data Science Publishing Analytics 318

Sisense

MARCH 26, 2021

Blog. Newly published research shows that companies aren’t getting the most out of their analytics. Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. But there’s a gap between expectations and reality, and companies are falling short of their aspirations. “39% of companies want to identify new revenue and busine

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Analytics Data-driven Dashboards Experimentation 98

Smart Data Collective

MARCH 26, 2021

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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Data-driven Big Data Cost-Benefit Data Strategy 83

Analytics Vidhya

MARCH 26, 2021

ArticleVideo Book Introduction In the previous article, we saw the Chi-Square algorithm- How to select Best Split in Decision Trees using Chi-Square. In this. The post How to select Best Split in Decision Trees using Information Gain appeared first on Analytics Vidhya.

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Analytics Statistics Machine Learning 261

Smart Data Collective

MARCH 26, 2021

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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IoT Testing Software Internet of Things 77

Dataiku

MARCH 26, 2021

Data science, machine learning, and AI are hot topics for financial institutions, as these techniques can help optimize and automate countless processes and tasks. But that doesn’t mean implementing them is easy — this blog post covers some of the top challenges financial institutions face and how they can be solved. This is a guest blog post from our partners at Reacfin.

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Machine Learning Data Science Optimization 59

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Nutanix

MARCH 26, 2021

This blog addresses the importance of time setup for an AHV-based Nutanix cluster supporting an on-prem Xi Frame deployment.

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DataCamp

MARCH 26, 2021

Understand how top-performing companies solve data discovery challenges to drive data fluency at scale.

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