KDnuggets
NOVEMBER 23, 2022
There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.
Analytics Vidhya
NOVEMBER 22, 2022
This article was published as a part of the Data Science Blogathon. Source: Arxiv|Search Engine Journal Introduction As it is common knowledge that natural language processing is one of the most popular and competitive in the current global IT sector. All of the top organizations and budding startups are on the lookout for candidates with […].
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Dataconomy
NOVEMBER 22, 2022
We witness more and more artificial intelligence applications in financial services in the post-pandemic era. With the help of artificial intelligence, the banking and finance industries now have new options to satisfy customer expectations for smarter, safer, and more practical ways to access, spend, save, and invest money. The financial.
Adrian Bridgwater for Forbes
NOVEMBER 22, 2022
Software has bugs. Like any major piece of engineering, any building or construction and any architected thing, the likelihood and presence of flaws and snags is almost inevitable.
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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
NOVEMBER 25, 2022
The final article in this nine-part series summarizes the many reasons why Machine Learning is not like your brain - along with a few similarities.
Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is the most dynamic stream in the world. Humans have always been curious about their abilities to predict, understand, act, and make decisions. Now, we can learn everything about it and create intelligent entities with this universal field of […].
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
NOVEMBER 20, 2022
Proper marketing and sales prospects play a huge role in improving the success rate of your business. The strategy can either be offline or digital. However, digital marketing has become the major focus of marketers across all industries, mainly due to how customers interact and engage with modern businesses. Seeing an opportunity and knowing how and when to take advantage of it defines the majority of where today’s marketers stand.
KDnuggets
NOVEMBER 24, 2022
Chebyshev’s Theorem applies to every data set and is heavily used by Statisticians, Data Scientists, and Machine Learning Engineers.
Analytics Vidhya
NOVEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven. Businesses and companies are using data to get some insights about the progress and future […].
Dataconomy
NOVEMBER 20, 2022
Network automation automates the configuration, management, testing, deployment, and operation of physical and virtual devices within a network. The availability of network services increases as routine network operations and functions are automated and repetitive processes are regulated and handled automatically.
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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
NOVEMBER 20, 2022
Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face. One of the most significant benefits of leveraging analytics in manufacturing is with marketing optimization and automation.
KDnuggets
NOVEMBER 23, 2022
Yellowbrick for creating machine learning plots with less code.
Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Source: [link] Introduction The AWS Command Line Interface (CLI) is a centralized management tool for managing AWS services. Through CLI, users can control services manually or automate them with powerful scripts. With this one tool, it can handle multiple AWS services from the […].
Dataconomy
NOVEMBER 23, 2022
TikTok data practices on EU citizens and ads catering to kids are under investigation by the European Union. Allegations include that the social media giant sent European users’ data to China. Following the US, the EU started investigating TikTok’s data practices and its compliance with General Data Protection Regulation (GDPR) requirements.
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
NOVEMBER 24, 2022
Artificial intelligence is playing an important role in modern creative professions. There are a lot of reasons a growing number of companies are turning to AI technology. One poll showed that 61% of companies found that AI and machine learning were their best data investments. One of the industries that is evolving by adopting new AI tools in web design.
KDnuggets
NOVEMBER 22, 2022
Ensuring data quality guarantees more data-informed decisions. Hence, this article highlights the common data quality issues and ways to overcome them.
Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data lineage is the process of analyzing the path of the data and how it is involved in different methods with time. Many businesses and companies use it to get an idea of the source, data pathway, and how the data is […]. The post Data Lineage: Case Studies of Data-Driven Businesses appeared first on Analytics Vidhya.
Dataconomy
NOVEMBER 23, 2022
Although they function in the same area, business intelligence and data warehouses are fundamentally different concepts. Data warehouses and business intelligence both include data storage. However, data collection, technique, and analysis are the main focuses of business intelligence. On the other hand, a data warehouse primarily organizes and stores such data.
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.
Cassie Kozyrkov
NOVEMBER 22, 2022
Battling an embarrassing new alchemy for the digital era Continue reading on Towards Data Science »
KDnuggets
NOVEMBER 21, 2022
Git for Data Science Cheatsheet • 6 Best Free Online Courses to Learn Python and Boost Your Career • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • How LinkedIn Uses Machine Learning To Rank Your Feed • 7 SQL Concepts You Should Know For Data Science.
Analytics Vidhya
NOVEMBER 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction The rate of data expansion in this decade is rapid. The requirement to process and store these data has also become problematic. Today, data controls a significant portion of our lives as consumers due to advancements in wireless connectivity, processing power, and […].
Dataconomy
NOVEMBER 24, 2022
Cybersecurity risk assessment is essential for any organization at any stage of its digital transformation journey. Almost all businesses have some IT infrastructure and internet connectivity, which makes them all vulnerable against cyber threats to some extent.
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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
NOVEMBER 22, 2022
Chris Dalla Riva analyzed key changes in songs that made the Billboard Hot 100, between 1958 and 2022. Key changes are near non-existent after 2010. The most interesting part is why : Thus, if you changed the key of “Juicy,” Biggie wouldn’t necessarily have to change how he raps, but if you changed the key of “Over the Rainbow,” Judy Garland would have to sing different pitches.
KDnuggets
NOVEMBER 23, 2022
KDnuggets is back with another exclusive cheatsheet, this time sharing a Linux quick reference for data science.
Analytics Vidhya
NOVEMBER 22, 2022
This article was published as a part of the Data Science Blogathon. Introduction Viruses are well-known etiological agents to cause a broad spectrum of diseases in humans, animals, and plants. In the last few decades, viral infections have emerged and have been responsible for life-threatening to humankind and the worldwide economy. As evident by historical […].
Dataconomy
NOVEMBER 23, 2022
As supply chains in the US and around the world remain tumultuous, facing pandemic closures and labor shortages, supply chain professionals are turning to data to stay ahead. An intelligent supply chain, supported by live data, enables real-time collaboration, faster execution speeds, and improved accountability. Inventory shortages have become an.
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
NOVEMBER 22, 2022
AI technology has been invaluable to the financial industry. The amount of money that fintech companies are spending on AI is projected to grow by 16.5% a year from 2022 and 2030. AI is changing the alternative financial sector as well. For example, many bitcoin investors are finding creative ways to use AI to improve their trading strategies. In fact, AI has played a key role in the growth of bitcoin popularity.
KDnuggets
NOVEMBER 21, 2022
Take Soccer Analytics to the Next Level with Graph Theory: Here’s What to Know and How to Do It.
Analytics Vidhya
NOVEMBER 23, 2022
This article was published as a part of the Data Science Blogathon. Introduction Web apps are the apps through which you can showcase your solution or approach to the public at a mass level. Creating the model is not enough until it’s in use by people. When it comes to delivering the solution then, everyone […]. The post Build AI Web App using Azure Cognitive Services appeared first on Analytics Vidhya.
Dataconomy
NOVEMBER 25, 2022
Movio AI spokesperson video generator is ready to tell your story convincingly. The AI video generator render processes are fairly quick, and videos are ready to publish in just a few minutes! How is it possible? Movio AI combines generative AI with other machine learning frameworks like generative adversarial networks.
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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