KDnuggets
JULY 22, 2022
The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.
Analytics Vidhya
JULY 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction Over the past few years, advancements in Deep Learning coupled with data availability have led to massive progress in dealing with Natural Language. Though it can seem quite diverse, NLP is restricted – when it comes to the ‘Natural Languages’ it can […].
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Dataconomy
JULY 21, 2022
What programming language for artificial intelligence is suitable for you? It is a crucial question for your company’s future. Every major tech business and even startups are working on artificial intelligence (AI), which has emerged as one of the hottest issues and largest study disciplines. It’s a tremendously broad topic.
Smart Data Collective
JULY 20, 2022
Artificial intelligence is one of the most disruptive forms of technology shaping the marketing profession since the dawn of the Internet. Here are some statistics on the importance of AI in marketing : 48% of marketers feel AI makes a greater difference than anything else in affecting their relationship with customers 51% of e-commerce companies use AI to improve the customer experience 64% of B2B marketers use AI to guide their strategy.
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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
JULY 20, 2022
14 Essential Git Commands for Data Scientists • Statistics and Probability for Data Science • 20 Basic Linux Commands for Data Science Beginners • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science • Learn MLOps with This Free Course • Primary Supervised Learning Algorithms Used in Machine Learning • Data Preparation with SQL Cheatsheet.
Analytics Vidhya
JULY 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Dapps are decentralized – applications that allow one to communicate to the blockchain and perform specific actions. These have become an integral part of Web 3.0 due to their security, transparency, and ease of use. The fact that makes Dapps more interesting […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
JULY 21, 2022
Data analytics is incredibly valuable for helping people. learn. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. We have previously talked about the many ways that big data is disrupting education. Big data isn’t just helping with education in the field of academia.
KDnuggets
JULY 21, 2022
Hill climbing is basically a search technique or informed search technique having different weights based on real numbers assigned to different nodes, branches, and goals in a path.
Analytics Vidhya
JULY 21, 2022
Introduction Eduardo Xamena is hosting a DataHour with us. He works as a Scientific Researcher at National Scientific and Technical Council, developing methods and architectures for information extraction and retrieval from enormous amounts of text. The history of the Argentinian Revolution and the number of complaints received by the Public Ministry of Salta are two […].
Dataconomy
JULY 19, 2022
Data science techniques, applications, and tools allow organizations to extract valuable insights from data. The evolution of data science and advanced forms of analytics has created significant change for companies. The conditions were created for the emergence of various applications that provide deeper insights and business value. While data science.
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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
JULY 19, 2022
AI technology has become incredibly helpful for companies trying to boost productivity. There are a lot of invaluable applications that use AI to bolster efficiency, lower costs and help companies improve the quality of their products and services. According to research from Oberlo, 91% of businesses have invested in AI technology to achieve these benefits.
KDnuggets
JULY 19, 2022
The skills you have need maintenance and occasional updates. Doing an interesting data science project is what will keep you from getting rusty.
Analytics Vidhya
JULY 18, 2022
Have you ever wondered if it is possible to get access to your dream data science job like a piece of cake? Life would be far easier if you didn’t have to scroll through job sites and referral sites to find and apply for the data science jobs you wanted. The ideal scenario each aspiring […]. The post Analytics Vidhya Presents JOB-A-THON – Look No Further for Your Dream Data Science Job appeared first on Analytics Vidhya.
Dataconomy
JULY 20, 2022
A modern corporation needs to be concerned about things like climate change, supply chain risk, and competition intelligence. Signal AI’s External Intelligence Graph maps these relationships and shows how an organization is “associated” with these crucial issues. This brand-new type of data, which makes sense of the massive amounts of.
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.
Smart Data Collective
JULY 20, 2022
Data-driven decision-making has become a major element of modern business. A growing number of businesses use big data technology to optimize efficiency. However, companies that have a formal data strategy are still in the minority. Only 32% of executives have officially laid out a data strategy to drive their organization. Furthermore, only 13% of companies are actually delivering on their data strategy.
KDnuggets
JULY 22, 2022
Data is everywhere but only data is not sufficient to reap the benefits that come with it. It needs to be organized to enable the organizations to make more informed business decisions. In this article, we will learn what are the various benefits of being a data-first enterprise and using the data in developing a business intelligence solution.
Analytics Vidhya
JULY 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Conversational AI tech has significantly evolved in the last decade, allowing many businesses to use virtual assistants, aka bots in the chat & voice mediums, to resolve customer queries. Several bot provider companies take many approaches to deploy & optimize virtual assistants […].
Dataconomy
JULY 18, 2022
More and more businesses are moving into an era wherein artificial intelligence (AI) is a component of every new initiative. One such tool called emotion AI analyzes facial expressions based on a person’s faceprint to find their goals, attitudes, and interior emotions.
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.
Smart Data Collective
JULY 19, 2022
Are you concerned about your data privacy? You are going to want to invest in a VPN. Few other safeguards will be equally effective. Keep reading to learn why this is so important. A VPN is Going to Be Necessary for Data Privacy – Even if Data Protection Laws Are Passed. Data privacy is becoming a greater concern than ever. One poll from 2021 showed that 83% of Americans supported legislation to protect their data privacy.
KDnuggets
JULY 20, 2022
Language is now less of a barrier than it was in earlier days and the concept of real-time translation is no longer a fantasy with AI. Learn more!
Analytics Vidhya
JULY 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Machine Learning pipelines are always about learning and best accuracy achievement. And every Data Scientist wants to progress as fast as possible, so time-saving tips & tricks are a big deal as well. That’s why low-code tools are adopted among data scientists.
Dataconomy
JULY 21, 2022
The latest study showed expanding data sets with “fake data” offered at least 40% increase in the performance of robots. A new method widens training data sets for robots that operate with soft things like ropes and fabrics, or in congested situations, taking a step toward creating robots that can.
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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
JULY 19, 2022
There’s a database of feathers called Featherbase , because of course there is: Featherbase is a working group of German feather scientists and other collectors worldwide who came together with their personal collections and created the biggest and most comprehensive online feather library in the world. Using our website, it is possible to identify feathers from hundreds of different species, compare similarities between them, work out gender or age-specific characteristics and look at the
KDnuggets
JULY 18, 2022
The simple but tricky data science questions that most people struggle to answer.
Analytics Vidhya
JULY 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Image classification is the process of classifying and recognizing groups of pixels inside an image in line with pre-established principles. Using one or more spectral or text qualities is feasible while creating the classification regulations. Two popular types of categorization techniques are […].
Dataconomy
JULY 18, 2022
Zscaler, the market leader in security services edge (SSE), unveiled a number of new features in its security platform that are intended for businesses who wish to implement zero trust in the cloud and manage risk from cyberthreats. The announcement coincides with Zscaler’s expansion of its partnership with Amazon Web.
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
JULY 22, 2022
You thought you knew all normal forms? (And possibly also some abnormal …) Well, think again: There is also “graph normal form (GNF).” The diagram below is a fifth normal form graph concept model, which is just a few steps from GNF, so hang on: Where GNF comes from GNF is based on serious mathematics, […]. The post Say Hello to Graph Normal Form (GNF) appeared first on DATAVERSITY.
KDnuggets
JULY 21, 2022
A simple overview of using an often-misunderstood yet useful function in Python: Numpy's argmax(). Read the what, the how, and the why of argmax() here.
Analytics Vidhya
JULY 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data acclimates to countless shapes and sizes to complete its journey from a source to a destination. Be it a streaming job or a batch job, ETL and ELT are irreplaceable. Before designing an ETL job, choosing optimal, performant, and cost-efficient tools […]. The post Developing an End-to-End Automated Data Pipeline appeared first on Analytics Vidhya.
Dataconomy
JULY 19, 2022
The following article explains how data scientists can access datasets distributed through Web 3.0 technology, earning bounties of up to $25,000 USD for data science work. Engage with a global data science community to explore blockchain data exchange, solve data challenges, and learn how to become part of a Web.
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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