KDnuggets
DECEMBER 23, 2021
Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.
Analytics Vidhya
DECEMBER 3, 2021
This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.
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Dataconomy
DECEMBER 24, 2021
The enterprise is investing heavily into multiple forms of AI, but interest in natural language processing (NLP) has gained momentum in the past few months. This is due in large part to the rise of chatbots and intelligent assistants in call centers, help desks, kiosks, and other customer support applications, but these are hardly.
DataRobot
DECEMBER 1, 2021
Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research.
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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?
FlowingData
DECEMBER 31, 2021
Phew, just made it. These are my favorite data visualization projects from 2021. Like last year, there were many Covid-related charts on the internets this year. While they are important to gauge the state of things, I found myself veering away from them to focus on other areas. I craved distraction, practical information for the times, and anything outside the bubble.
Smart Data Collective
DECEMBER 22, 2021
Big data technology has become an invaluable asset to so many organizations around the world. There are a lot of benefits of utilizing data technology, such as improving financial reporting, forecasting marketing trends and efficient human resource allocation. It is crucial to business growth , as companies transition to more digital business models.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Analytics Vidhya
DECEMBER 2, 2021
This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].
Dataconomy
DECEMBER 13, 2021
For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information they can pull from the massive amounts of data generated, accessed, and stored in myriad locations, from corporate data centers to the cloud and.
Tableau
DECEMBER 10, 2021
Mark Nelson. President and CEO, Tableau. Kristin Adderson. December 10, 2021 - 8:17pm. December 15, 2021. Today I’m pleased to share that our mission to help people see and understand data becomes even stronger with our acquisition of Narrative Science, a Tableau partner since 2016 and global leader in data storytelling technologies. . Narrative Science’s natural language capabilities are some of the best in the industry.
FlowingData
DECEMBER 29, 2021
Justin Sherman for Wired points out the farce that is anonymized data : Data on hundreds of millions of Americans’ races, genders, ethnicities, religions, sexual orientations, political beliefs, internet searches, drug prescriptions, and GPS location histories (to name a few) are for sale on the open market, and there are far too many advertisers, insurance firms, predatory loan companies, US law enforcement agencies, scammers, and abusive domestic and foreign individuals (to name a few) willing
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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.
Smart Data Collective
DECEMBER 19, 2021
The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process. Likewise, Python is a popular name in the data preprocessing world because of its ability to process the functionalities in different ways.
KDnuggets
DECEMBER 17, 2021
What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.
Analytics Vidhya
DECEMBER 3, 2021
This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.
Dataconomy
DECEMBER 13, 2021
Big data has already transformed how many industries operate. Now that the pandemic has accelerated digital transformation around the globe, the field has grown faster than most could have predicted. This unprecedented growth will undoubtedly bring considerable disruption in 2022. Big data will disrupt industries further as new challenges and.
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.
Tableau
DECEMBER 10, 2021
Mark Bradbourne. National Solutions Engineer, Tableau. Bronwen Boyd. December 11, 2021 - 1:33am. December 11, 2021. Fresh off of Tableau Conference , we are back with the Best of the Tableau Web! Like many of you, I have always found great inspiration in Tableau Conference—from the conference sessions to the excitement of attendees and the burst of new, creative content from the DataFam.
FlowingData
DECEMBER 10, 2021
Using estimates based on satellite data, Joshua Stevens for NASA Earth Observatory mapped the concentration of microplastics in the ocean over time : Researchers at the University of Michigan (UM) recently developed a new method to map the concentration of ocean microplastics around the world. The researchers used data from eight microsatellites that are part of the Cyclone Global Navigation Satellite System (CYGNSS) mission.
Smart Data Collective
DECEMBER 13, 2021
Big data has become a highly invaluable aspect of modern business. More companies are using sophisticated data analytics and AI tools to overhaul their business models. Some industries have become more dependent on big data than others. The e-commerce sector has been one of the most affected by major advances in data technology. Smart e-commerce entrepreneurs are utilizing big data to address many of the problems they are facing.
KDnuggets
DECEMBER 24, 2021
Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score.
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.
Analytics Vidhya
DECEMBER 29, 2021
This article was published as a part of the Data Science Blogathon Welcome to my guide! In this guide, we will cover basic as well as advanced topics involved in Deep Learning. This guide will help you in gaining confidence in the concepts of Deep Learning. So let’s begin with our journey! Why do we need […]. The post A Guide on Deep Learning: From Basics to Advanced Concepts appeared first on Analytics Vidhya.
Dataconomy
DECEMBER 1, 2021
Clinicians pivoted their AI efforts to engage in the battle against the COVID-19 pandemic. How can it help those with persistent symptoms – the so-called “long COVID”? The emergence in March 2020 of the COVID-19 virus as a pandemic had a profound effect on the demand for health services that.
Dataversity
DECEMBER 30, 2021
If 2021 was the year graph technology went mainstream, 2022 will be the year it becomes an enterprise “must-have.” Graph companies have attracted hundreds of millions of dollars in funding this year, as more organizations scale up (and out) with graph. In addition to the usual graph use cases – which include fraud detection, anti-money […]. The post Graph: A Must-Have Enterprise Technology in 2022 appeared first on DATAVERSITY.
FlowingData
DECEMBER 22, 2021
When you have many categories, use ridgelines to create an extremely compact visualization where you can easily identify major patterns and outliers. They are especially useful to display surges in mostly flat data series. Become a member for access to this — plus tutorials, courses, and guides.
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.
Smart Data Collective
DECEMBER 17, 2021
Big data has become invaluable to many businesses around the country. A growing number of business owners are investing in data-driven marketing strategies. One of the biggest ways that big data can help your business reach more customers is through SEO. Earlier this summer, we talked about the approaches to data-driven SEO. However, there are a lot of benefits from the business side that you have to understand as well.
KDnuggets
DECEMBER 1, 2021
This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.
Analytics Vidhya
DECEMBER 28, 2021
This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications. In this guide, we will explore how […].
Dataconomy
DECEMBER 24, 2021
For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information that can be pulled from the massive amounts of data being generated, accessed, and stored in myriad locations, from corporate data centers to the cloud.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Dataversity
DECEMBER 30, 2021
In the digital economy, business continuity is inextricably bound to technology. From retail and travel to finance and the public sector, services being moved online and employees working remotely means businesses are more reliant on their digital infrastructure than ever before. While organizations can take steps to protect their digital services from incidents caused by user error, […].
FlowingData
DECEMBER 22, 2021
The COVID-19 Online Visualization Collection is a project to catalog Covid-related graphics across countries, sources, and styles. They call it COVIC for short, which seems like a stretch for an acronym and a confusing way to introduce a project to people. But, it does categorize over 10,000 figures, which could be useful as a reference and historical context.
Smart Data Collective
DECEMBER 9, 2021
Meta Description: Having a website and/or mobile app is important for your business success. That is why you have to know the good UX design principles. Continue to read this blog post for more important details. Big data technology has transformed the web design and e-commerce professions in recent years. It is no longer possible to rely on artistic abilities or even coding skills alone.
KDnuggets
DECEMBER 3, 2021
If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.
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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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