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 13, 2021
This article was published as a part of the Data Science Blogathon + Image 1 Overview This article will support data scientists in furthering their studies on artificial neural networks so that they can develop applications for professional use. We introduce the concept of ANN, from the Perceptron device, we conceptualize input neurons, functions, and activation […].
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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.
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.
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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?
KDnuggets
DECEMBER 14, 2021
We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.
Analytics Vidhya
DECEMBER 11, 2021
This article was published as a part of the Data Science Blogathon In this world, Agriculture and farming are some of the oldest professions. As the population grows high, the need to grow and yield more, better crops and the best quality also increases. New technologies like Artificial Intelligence (AI) and Blockchain come in handy. To […]. The post Artificial Intelligence (AI): The Ultimate Solution in Agriculture appeared first on Analytics Vidhya.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
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 13, 2021
So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.
Analytics Vidhya
DECEMBER 13, 2021
This article was published as a part of the Data Science Blogathon Introduction In the past few years, Natural language processing has evolved a lot using deep neural networks. Many state-of-the-art models are built on deep neural networks. BERT (Bidirectional Encoder Representations from Transformers) is a very recent work published by Google AI Language researchers.
Dataconomy
DECEMBER 17, 2021
According to IDC, IoT data is forecasted to reach 73 zettabytes by 2025, while a recent study by Deloitte estimates that 40% of IoT devices will be capable of sharing location in 2025, up from 10% in 2020. This means time and space data is the fastest-growing big data category.
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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 14, 2021
Collecting data is a necessary step that companies must take to reach their desired standards or keep from declining in quality. Not only that, but the product or service primarily influences the public’s perception of a brand that they offer, so gathering the data that will inform them of customers’ level of satisfaction is extremely important. But what ways should be used to do so?
KDnuggets
DECEMBER 16, 2021
Learn how one data scientist increased their full-time job salary 14 times in 14 years of a career, with highlights on experiencing an IPO, RSUs, start-ups and working at FAANG companies.
Analytics Vidhya
DECEMBER 15, 2021
Introduction While we bid adieu to 2021, one should not fail to acknowledge the fact that it was another crazy year in the history of humanity. We all aged simultaneously with a never-ending pandemic turning up with new variants every now and then. Coming to data science, 2021 was a very incremental year for this […]. The post A Review of 2021 and Trends in 2022 – A Technical Overview of the Data Industry!
Dataconomy
DECEMBER 14, 2021
“The Olympics of Tech,” Web Summit, took place 1-4 November in Lisbon, Portugal. Despite Europe being in the middle of a pandemic, the world’s premier tech conference gathered 42,751 attendees. At a time of great uncertainty for many industries and, indeed, the world itself, “the grand conclave of the tech.
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.
FlowingData
DECEMBER 17, 2021
You know it’s the holiday season when Mariah Carey starts singing about wanting you for Christmas. The Washington Post goes into why we listen to the same songs every year : Holiday music burrows into a sweet spot in our brains’ wiring, said Brian Rabinovitz, a lecturer at the College of William & Mary whose expertise is the neuroscience of music.
KDnuggets
DECEMBER 17, 2021
How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.
Analytics Vidhya
DECEMBER 13, 2021
Introduction 2021 is a year that proved nothing is better than a Proof of Work to evaluate any candidate’s worth, initiative, and skill. Pursuing any data science project will help you polish your resume. These projects will not only deepen an understanding of the concepts but also, help you gain some practical experience in the […]. The post Top Data Science Projects to add to your Portfolio in 2021 appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 15, 2021
Digital marketers work online and leverage online tools to drive sales. They make up an aspect of marketing focused on using the internet and cloud-based technology to promote brands. Marketers all share the same goal: reach the target audience and make more profit. But driving sales through the maximization of profit and minimization of cost is impossible without data analytics.
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.
FlowingData
DECEMBER 13, 2021
Leland Wilkinson passed away on Friday, according to his daughter Amie. In visualization circles, he was best known for The Grammar of Graphics , which defined a system to describe and implement all statistical charts. Here’s Jessica Hullman on Wilkinson’s contribution : My own admiration for Grammar of Graphics is partly why I chose to get into visualization back as a grad student.
KDnuggets
DECEMBER 14, 2021
Thinking about taking your data science expertise to a new level of creating a start-up company? These tips -- learned from experience -- can help you forge an early path toward success.
Analytics Vidhya
DECEMBER 13, 2021
This article was published as a part of the Data Science Blogathon Introduction In this article, We will develop an End to End project which will be based on Pure Deep Learning. I’m using Pure term here, the reason you’ll come to know in my further articles. The reason behind building this project is to detect […]. The post End to End Potato Leaf Disease Prediction Project – A Complete Guide appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 14, 2021
OKRs are a simple yet powerful management framework for managers to align with employee goals with the organization while fostering transparency and streamlining goal attainment. Employee monitoring is very important. Measuring results and performance is critical to business success. However, it is often challenging to ensure that your metrics are aligned with the C-suite objectives and that all your employees are engaged and connected in meeting these targets.
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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.
FlowingData
DECEMBER 17, 2021
Steven L. Franconeri, Lace M. Padilla, Priti Shah, Jeffrey M. Zacks, and Jessica Hullman published in Psychological Science in the Public Interest an expansive review of what researchers know so far about how visualization works : Effectively designed data visualizations allow viewers to use their powerful visual systems to understand patterns in data across science, education, health, and public policy.
KDnuggets
DECEMBER 13, 2021
How exactly does AI model governance help tackle these issues? And how can you ensure you’re using it to best fit your needs? Read on.
Analytics Vidhya
DECEMBER 13, 2021
This article was published as a part of the Data Science Blogathon What is object detection? Cf the many Computer Vision cognitive application, object detection is one of the highly used techniques to identify and locate objects in images and videos. As the name suggests – ‘Computer Vision’, is the ability for computers to acquire human-like […].
Smart Data Collective
DECEMBER 13, 2021
Tracking how your database is performing should be on the top of the to-do list for any administrator. And of course, the only way to make sure you handle this effectively and efficiently is to put a monitoring strategy in place. There are several steps to take, and many considerations to take onboard, when building your own SQL Server monitoring strategy, so here are just a few pieces of guidance that will help you avoid common pitfalls.
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.
Dataversity
DECEMBER 17, 2021
Data plays a central role in digital transformation. In fact, it’s been referred to as the currency of modern, digital business. Without data, companies lack a true understanding of their customers, markets, trends, and even their own products and employees. While most organizations likely appreciate the value of their data, many struggle with figuring out […].
KDnuggets
DECEMBER 17, 2021
I've put some thought into this, and come up with the 5 characteristics of a what I believe define a successful data scientist. Do you agree?
Analytics Vidhya
DECEMBER 14, 2021
This article was published as a part of the Data Science Blogathon Introduction In this article, I will explain to you about using Yolo v5 Algorithm for Detecting & Classifying different types of 60+ Road Traffic Signs. We will start from very basic and covers each step like Preparation of Dataset, Training, and Testing. In this article, […].
Smart Data Collective
DECEMBER 16, 2021
Customers around the world are expected to spend over $11 billion on data recovery tools next year. One of the reasons that the market for these services is growing so much is due to the growing range of disasters causing data loss. Disasters can cause all kinds of long-term problems for countless organizations. One of the biggest issues that a natural disaster or workplace tragedy can lead to is data loss.
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.
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