Sat.Sep 25, 2021 - Fri.Oct 01, 2021

article thumbnail

Guide For Data Analysis: From Data Extraction to Dashboard

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. Unlike hackathons, where we are supposed to come up with a theme-oriented project within the stipulated time, blogathons are different. Blogathons are competitions that are conducted for over a month […].

article thumbnail

Olga Vorobyeva on DeFi: “It’s like bringing the casino into capitalism”

Dataconomy

Decentralized finance (DeFi) is booming. And among everything blockchain has to offer, DeFi is one of the most legitimate sectors and – arguably – the most promising. But like everything in life, it has its pitfalls too. “Decentralized finance allows anyone a do-it-yourself version of investment banking, supported by high.

185
185
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

In today’s modern era, AI and IoT are technologies poised to impact every part of the industry and society radically. Because most businesses devote their primary efforts to developing their brand, software applications, or network, new technologies are apt to transform how they operate. In addition, as companies attempt to draw better significance from the huge datasets gathered by linked devices, the potential of AI is accelerating the wider implementation of IoT.

article thumbnail

Age and Occupation

FlowingData

Whether it’s because of experience, physical ability, or education level, some jobs tend towards a certain age of worker more than others. Read More.

121
121
article thumbnail

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?

article thumbnail

Maximum Likelihood Estimation -A Comprehensive Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The purpose of this guide is to explore the idea of Maximum Likelihood Estimation, which is perhaps the most important concept in Statistics. If you’re interested in familiarizing yourself with the mathematics behind Data Science, then maximum likelihood estimation is something you can’t […].

article thumbnail

Factory Berlin’s Former CRO Joins Sovereign Nature Initiative: Seeks To Revolutionize Envirotech Sector

Dataconomy

Sovereign Nature Initiative (SNI), a non-profit envirotech foundation headquartered in Amsterdam, has appointed Catherine Bischoff as its first CEO. With more than 24 years of experience in leadership positions, the Berlin-based leader previously held the Chief Relationship Officer position at factory Berlin. She will now take all of her previous.

184
184

More Trending

article thumbnail

Industry-Tailored Reskilling Accelerates Data Maturity

Dataversity

Click to learn more about author Merav Yuravlivker. Companies are increasingly looking for ways to meet the demands of our data-driven world, and developing a data-mature organization is key to success across all areas of a business. In today’s environment, Data Literacy is no longer reserved solely for those who work in IT. In all departments, including marketing, human resources, and business development, employees across an organization must […].

article thumbnail

Introduction to Artificial Intelligence for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is Artificial Intelligence We have come a long way in the field of Machine Learning / Deep learning that we are now very much interested in AI (Artificial Intelligence), in this article we are going to introduce you to AI. The short and […]. The post Introduction to Artificial Intelligence for Beginners appeared first on Analytics Vidhya.

article thumbnail

A Succinct Intro to R

FlowingData

Before you get into analysis and visualizing data with R, you need to know the basics. Steve Haroz wrote a guide on getting started : This book is a short introduction to the R language. It covers the basics of R that are not covered by analysis and visualization guides like R for Data Science. Consider it a quick way to get up to speed on R before diving into the analysis and visualization aspects.

article thumbnail

8 Ways Machine Learning Can be Used to Make Cities Smarter

Smart Data Collective

It’s no secret that artificial intelligence and technology has been developing quickly in recent times, with applications such as CAPTCHA that prevent bots from accessing sites, thermostats that adapt to our daily schedules or even algorithms that could choose potential vacation destinations for us. But what if machine learning could be used beyond niche or individual contexts?

article thumbnail

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.

article thumbnail

Emerging Cybersecurity Trends to Monitor in 2021

Dataversity

Click to learn more about author Gary McCarthy. Cybersecurity has never been as important as it is today. With more people than ever before accessing the internet for work or pleasure, the number of targets for cybercriminals continues to increase daily, as does the number of cyberattacks. In addition, factors such as the ongoing COVID-19 […].

article thumbnail

40 Helpful Python tips to Boost your speed as a Data Scientist

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Because of its simplicity and ease of learning, Python has become very popular these days. It is used for various activities such as data science, machine learning, web development, scripting, automation, etc. Python is one of the most demanding skills for data scientists. […].

article thumbnail

Mapping climate change in the Arctic

FlowingData

UnstableGround is a project from the Woodwell Climate Research Center that focuses on climate change in the Arctic: Climate change is transforming the Arctic, impacting people and ecosystems across this vast region. But because our climate system is connected globally, what happens in the Arctic doesn’t stay in the Arctic. Discover how Arctic landscapes are changing and learn about the consequences for communities across the globe.

94
article thumbnail

Why Data-Conscious CIOs Use Gartner to Evaluate Software

Smart Data Collective

Data analytics is the lifeblood of modern business. Every large organization has a CIO, who appreciates the need to invest in big data solutions. There are a lot of companies that offer solutions for data-driven businesses. One of the most popular is Garnter. Gartner is a Reliable Company for Businesses that Need Big Data Solutions. Gartner is an information technology research and advisory company.

Big Data 114
article thumbnail

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.

article thumbnail

Is Unstructured Data the Future of Data Management?

Dataversity

Click to learn more about author Nahla Davies. In an increasingly tech-reliant world, data informs and powers much of our day-to-day lives. Data can be used to enhance AI capabilities, create personalized experiences, or be applied in medical research to help save lives. However, the biggest question remains: What is the best method to store, […].

AI 98
article thumbnail

A Comprehensive Guide on Neural Networks Performance Optimization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Deep learning is a subset of Machine Learning dealing with different neural networks with three or more layers. There are different deep neural networks that work best on many different real-world applications and research and development are still going on. The comprehensive guide […].

article thumbnail

Assessment of the Covid-19 dashboards

FlowingData

Researchers evaluated 158 Covid-19 dashboards, assessing design, implementation, and usefulness. Marie Patino for Bloomberg CityLab reports : “All of these dashboards were launched very early in the pandemic,” said Damir Ivankovic, a PhD student at the University of Amsterdam. “Some of them were developed literally overnight, or over three sleepless nights in certain countries.

92
article thumbnail

Embracing Big Data Technology Makes Traders’ Lives Much Easier

Smart Data Collective

Big data technology has had an enormous impact on many sectors. The financial industry is absolutely no exception. Big data is completely changing the securities trading profession. Modern advances in big data technology, the internet, and the arrival of the digital age have been the driving forces behind a true revolution in the ways we communicate that the world has experienced over recent years.

Big Data 106
article thumbnail

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.

article thumbnail

DataOps Highlights the Need for Automated ETL Testing (Part 2)

Dataversity

Click to learn more about author Wayne Yaddow. DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. ETL (i.e., extract, transform, load) projects are often devoid of automated testing.

DataOps 98
article thumbnail

Lambda Function – A better understanding

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Greetings! If they are working on a real-time application or a complicated activity, all programmers, regardless of the domain, will come across the phrase function block in coding. So, what this function block will do is make our work easier and more elegant by […]. The post Lambda Function – A better understanding appeared first on Analytics Vidhya.

article thumbnail

Your location for sale

FlowingData

Companies collect and aggregate location data from millions of people’s phones. Then that data gets sold in a multibillion-dollar market. Jon Keegan and Alfred Ng for The Markup report on who’s doing the collecting and where your data goes : Once a person’s location data has been collected from an app and it has entered the location data marketplace, it can be sold over and over again, from the data providers to an aggregator that resells data from multiple sources.

article thumbnail

The Impact of Artificial Intelligence on Commercial Real Estate: The Ways AI Will Change Things

Smart Data Collective

Artificial Intelligence (AI) is changing the commercial real estate industry by making everything more efficient, accessible, and transparent. Many companies are using AI to analyze their data and make better business decisions. AI can also be used to provide valuable insights into leasing trends, maximize vacancy rates, and forecast future demand. .

article thumbnail

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.

article thumbnail

The State of NLP: 5 Trends Shaping the Industry

Dataversity

Click to learn more about author Ben Lorica. Natural Language Processing (NLP) has been on the rise for several years, and for good reason. With the ability to identify new variants of COVID-19, improve customer service, and significantly refine search capabilities, use cases are expanding as the technology proliferates. While some verticals have adopted NLP faster than […].

article thumbnail

A Comprehensive Guide on Using Azure Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The main goal of machine learning is to train models and predict outcomes that can be used by applications. In Azure Machine Learning, we use scripts to train models using machine learning frameworks like Scikit-Learn, Tensorflow, PyTorch, SparkML, and others. In this guide, […].

article thumbnail

? Backwards Visualization Critique – The Process 159

FlowingData

Welcome to issue #159 of The Process, the newsletter for FlowingData members that looks closer at how the charts get made. This week I’m remembering what day it is and thinking about a backwards visualization critique that gives us something to look forward to. Become a member for access to this — plus tutorials, courses, and guides.

75
article thumbnail

Using Analytics to Successfully Use Instagram Stories for Your Business

Smart Data Collective

Analytics technology is essential to the success of modern marketing. In the past, marketers had to rely heavily on their gut instinct, because the performance of various strategies was harder to measure. In the digital era, however, data analytics has made it much easier to figure out what strategies perform optimally. Instagram marketing is one of the areas that can be highly dependent on analytics technology.

Analytics 100
article thumbnail

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.

article thumbnail

How to Use Your Data to Deliver a First-Rate Customer Experience

Dataversity

Click to learn more about author Arun Kumar. Excellent customer experience (CX) is no longer a “nice-to-have” – it’s a must. Fortunately for marketers, brands have access to droves of data to drive their CX. They just need to know how to optimize it. Today’s consumers are seeking a seamless and personalized CX. According to […]. The post How to Use Your Data to Deliver a First-Rate Customer Experience appeared first on DATAVERSITY.

article thumbnail

Graph Neural Network: An Introduction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction We all heard the term graph, but what is it? Can we develop a neural network out of it, or is it just for representation? We can do all of these. A Graph is nothing but a data structure and contains two elements […]. The post Graph Neural Network: An Introduction appeared first on Analytics Vidhya.

article thumbnail

Nowcasting the next hour of rain

DeepMind

Our lives are dependent on the weather. At any moment in the UK, according to one study, one third of the country has talked about the weather in the past hour, reflecting the importance of weather in daily life. Amongst weather phenomena, rain is especially important because of its influence on our everyday decisions. Should I take an umbrella? How should we route vehicles experiencing heavy rain?

AI 57
article thumbnail

AI Developments Which Will Shape Our Future

Smart Data Collective

Despite all the unexpected events we’ve witnessed in 2020, artificial intelligence wasn’t much affected by the pandemic and everything that was happening as a consequence of it across the globe. On the contrary, this technology has been included in many discussions as a solution for numerous challenges and issues we are now facing not only as individuals and companies but as a society as a whole.

AI 96
article thumbnail

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.