DataRobot

OCTOBER 20, 2021

Data literacy is a key component for any organization to be able to scale responsible and trusted artificial intelligence technology. Because of the multidisciplinary nature of AI products, stakeholders across an entire organization must share a common understanding of each project’s scope, deployment, governance , impact, and projected risk. In addition to multi-stakeholder engagement, proper AI governance should include the adoption of a common framework and individual or group sign-off from p

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon Overview What is a Framework FrontEnd vs BackEnd What is Flask Framework Installation of Flask Creating our first Flask app Routing Static Route vs Dynamic Route HTML Injections HTML Escaping Hypertext Transfer Protocol GET and POST Methods What is a Framework? The framework […].

Data Science 390

Data Science Publishing Analytics Modeling 390

Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. The upsurge of data (with the introduction of non-traditional data sources like streaming data, machine logs, etc.) along with traditional ones challenge old models of data integration.

Data Integration 123

Data Integration Machine Learning Big Data Data Transformation 123

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon It was just past the midway mark of 2019 and the Internet casually decided to trick us as it normally does. An optical illusion went viral on Twitter which depicted a gray image that looked colored! Confused? Well, let’s dive deep in then! […]. The post Learn how to make your own Optical Illusion in Python appeared first on Analytics Vidhya.

Data Science 384

Data Science Publishing Analytics IT 384

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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.

Visualization

Smart Data Collective

OCTOBER 20, 2021

The global cryptocurrency market is growing rapidly. It is projected to be worth nearly $5 billion by 2030. A lot of factors are playing a role in this growth, including new advances in blockchain and the introduction of new blockchain ETFs. Blockchain ETFs are among the most popular new ways for everyday investors to diversify their portfolios with blockchain and cryptocurrency investments.

Risk 112

Risk Technology Strategy Marketing 112

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon There are many ways a machine can be taught to generate an output on unseen data. The technological advancement in different sectors has left everyone shocked. we are now at a point where deep learning and neural networks are so powerful that can […]. The post An End-to-End Introduction to Generative Adversarial Networks(GANs) appeared first on Analytics Vidhya.

Deep Learning 363

Deep Learning Data Science Publishing Technology 363

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon It was 6:30 AM on a Thursday, I got a call from my senior regarding a project on sentiment analysis. Honestly, I was dreaming and I was very much sleepy, Thanks to the call recorder that helped me listen to the requirements and […]. The post Sentiment Analysis with TextBlob and Vader appeared first on Analytics Vidhya.

Data Science 308

Data Science Publishing Analytics IT 308

Cloudera

OCTOBER 20, 2021

We are just over one week until the UN Climate Change Conference of the Parties, COP26 convenes in Glasgow. As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest.

Risk 80

Risk Modeling Risk Management Measurement 80

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon Dear readers, In this blog, I will be discussing chunking both theoretically and practically in Python. So, let’s begin… NOTE: For the implementation, its better to use the Python IDLE as the output is a drawing of a tree which pops up in […]. The post What is Chunking in Natural Language processing?

Data Science 287

Data Science Publishing Analytics IT 287

TDAN

OCTOBER 20, 2021

As technology is improving itself with continuous upgrades, it has led to the birth of using software without installing it on your device, such service is known as Software as a Service (SaaS). With the introduction of such services in the market, there is also a demand for business stats to appear in real-time. Through […].

Analytics 69

Analytics Software Marketing Technology 69

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.

Management

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon Introduction There are many projects all over the internet talking about Twitter sentiment analysis. All these projects talk about finding the sentiment of tweets that are scrapped already. The datasets that these projects use are structured datasets scrapped for a specific purpose. But, […].

Data Science 292

Data Science Publishing Analytics 292

TDAN

OCTOBER 20, 2021

Increased awareness of data privacy has led to the implementation of data control measures. Used correctly, these safeguards can work to ensure security without impeding business agility. However, controlling access to data sources, both on-premises and cloud, while enabling business agility and competitive advantage has proven to be a challenge. Primarily, this is due to […].

Measurement 59

Measurement Data Governance Data Strategy Business Intelligence 59

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon It was just past the midway mark of 2019 and the Internet casually decided to trick us as it normally does. An optical illusion went viral on Twitter which depicted a gray image that looked colored! Confused? Well, let’s dive deep in then! […]. The post Learn how to make your own Optical Illusion in Python appeared first on Analytics Vidhya.

Data Science 268

Data Science Publishing Analytics IT 268

Domino Data Lab

OCTOBER 20, 2021

In this blog post we give a quick introduction to Ray. We talk about the architecture and execution model, and present some of Ray's core paradigms such as remote functions and actors.

Data Science 52

Data Science Modeling 52

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

Octopai

OCTOBER 20, 2021

Octopai, the leader in automated data lineage, data catalog and data discovery, announced today its support and analysis of Amazon Redshift, one of the fastest and most widely used cloud data warehouses. The new coverage of Amazon Redshift will further enable enterprises to migrate to the cloud seamlessly and manage complicated BI landscapes from one platform.

Metadata 52

Metadata Data Warehouse Enterprise Business Intelligence 52

Teradata

OCTOBER 20, 2021

When justifying a move to the cloud, one of the more challenging areas is quantifying on-premises costs. These “5 Ps” of quantifying on-premises costs will help.

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DataCamp

OCTOBER 20, 2021

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bridgei2i

OCTOBER 20, 2021

A Practitioner’s View on AI-Led Transformation in Manufacturing. Aditya Karnani, Lead, Factory Performance & Reliability, Colgate Palmolive | Ronobijay Bhaumik, Director, Digital Consulting, Intelligent Operations, BRIDGEi2i. Subscribe Now. Highlights. In this podcast, the guest Adita Karnani shares some thought-provoking insights on AI-led automation in manufacturing plants and how digitalization coupled with the pandemic has led to innovations and processes within many industrial plants. [

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

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.

Manufacturing