Analytics Vidhya
SEPTEMBER 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].
KDnuggets
SEPTEMBER 16, 2022
Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.
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Smart Data Collective
SEPTEMBER 10, 2022
Big data technology has helped many companies improve efficiency and address some of the top challenges they have encountered in recent years. A growing number of businesses have invested in AI to improve their business models. As a result, the market for AI technology is projected to be worth over $420 billion by 2028. Surveys have shown that 90% of the top businesses use AI , even though only 37% of companies use it at all.
FlowingData
SEPTEMBER 15, 2022
Serena Wiliams’ tennis career is impressive for its success and longevity, which are easily seen here. The Athletic compiled a list of the Grand Slam champions that Williams beat between 1991 and 2019, which happens to be everyone. Sometimes the simplest presentation is best. In this example, the angle they looked at the data makes the graphic.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
SEPTEMBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples. Often referred to as the ‘Hello World’ of Computer Vision, it’s a great starting […].
KDnuggets
SEPTEMBER 15, 2022
In this article, we will discuss the importance of large language models and suggest some of the top open source models and the NLP tasks they can be used for.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Tableau
SEPTEMBER 15, 2022
Bronwen Boyd. Social Media and Blog Specialist, Tableau. Britt Staniar. Senior Community Program Manager, Recognition Programs . Alyssa Jenson. September 14, 2022 - 11:23pm. September 29, 2022. Tableau Ambassadors teach and share while fostering a positive and supportive space within the data community. They give credit where credit is due, and prioritize inclusivity in everything they do.
Analytics Vidhya
SEPTEMBER 16, 2022
Introduction Data science is a practical subject that the experts can best explain in the field. To provide our community with a better understanding of how different elements of the subject are used in different domains, Analytics Vidhya has launched our DataHour sessions. These sessions will enhance your domain knowledge and help you learn new […].
KDnuggets
SEPTEMBER 12, 2022
Standard Deviation is one of the most underrated statistical tools out there. It’s an extremely useful metric that most people know how to calculate but very few know how to use effectively.
Smart Data Collective
SEPTEMBER 16, 2022
The fintech sector is growing at a shocking rate. The market was worth over $112 billion last year. By 2028, it should be worth over $332 billion. Some entrepreneurs might think this is the best time ever to invest in fintech. While the market is growing and creating more opportunities for fintech entrepreneurs, the stakes are also higher than ever.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
FlowingData
SEPTEMBER 12, 2022
Dries Depoorter recorded video from open cameras for a week and scraped Instagram photos. Then he used AI to identify the people in the photos and their locations. Depoorter calls it The Follower. Tags: AI , Dries Depoorter , Instagram , privacy , surveillance.
Analytics Vidhya
SEPTEMBER 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Deep learning is one of the hottest fields in the past decade, with applications in industry and research. However, even though it’s easy to delve into the topic, many people are confused by the terminology and end up only implementing neural network […]. The post Understanding Word Embeddings and Building your First RNN Model appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 13, 2022
This article will go over the top 5 data science skills that pay you and 5 that don’t.
Smart Data Collective
SEPTEMBER 16, 2022
Big data technology is shaping the future of healthcare. Global healthcare companies are projected to spend over $105 billion on big data by 2030. One of the biggest benefits of big data in healthcare has been in the field of virtual healthcare. Demand for virtual healthcare services exploded during the pandemic. Big data technology is helping make this new field even more promising.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
FlowingData
SEPTEMBER 14, 2022
Changing the fonts you use for labels and annotation is one of the easiest ways to make charts more readable and less messy, which makes a chart more inviting to examine. For Datawrapper, Lisa Charlotte Muth discusses font choices and what to look for. Can’t go wrong with another one of Muth’s clear and practical guides. Tags: Datawrapper , Lisa Charlotte Muth.
Analytics Vidhya
SEPTEMBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction AWS is a cloud computing service that provides on-demand computing resources for storage, networking, Machine learning, etc on a pay-as-you-go pricing model. AWS is a premier cloud computing platform around the globe, and most organization uses AWS for global networking and data […].
KDnuggets
SEPTEMBER 16, 2022
This post will look at a few different ways of attempting to simplify decision tree representation and, ultimately, interpretability. All code is in Python, with Scikit-learn being used for the decision tree modeling.
Smart Data Collective
SEPTEMBER 13, 2022
In today’s more competitive, technology-driven corporate environment, all firms seeking to increase activity and productivity are reaping the benefits of the software world. The software industry is quite diverse, with solutions that may fulfill practically any potential business requirement, whether it be increased cloud computing capabilities, artificial intelligence-based automation tools, or merchant processing choices.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Dataversity
SEPTEMBER 16, 2022
As a principal solutions architect, I always start my cloud architecture discussions with the “triangle of truth,” or “holy trinity” of architecture principles for cloud: stability, agility, and security. You must have these three things. The rub is that hitting any two vertices of those pillars is pretty straightforward. Hitting one is trivial. From an […].
Analytics Vidhya
SEPTEMBER 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction In the era of big data, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace. Source: [link] Four points that you need to take into your […].
KDnuggets
SEPTEMBER 16, 2022
The post introduces one of the most popular recommendation algorithms, i.e., collaborative filtering. It focuses on building an intuitive understanding of the algorithm illustrated with the help of an example.
Smart Data Collective
SEPTEMBER 13, 2022
Machine learning technology has been the basis for some of the biggest changes taking place in the financial sector. The securities markets are some of the biggest examples. A growing number of people are using machine learning to perfect their stock trading strategies. Machine learning technology helps them forecast changes in asset prices based on various factors that have been proven to be correlated with financial market activity.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Tableau
SEPTEMBER 12, 2022
Andy Cotgreave. Senior Technical Evangelist, Tableau at Salesforce. Bronwen Boyd. September 12, 2022 - 5:08am. September 13, 2022. Tableau’s superpower is the ability to quickly turn data from a dry, obtuse data source into a rich, impactful data story. Anyone with access to data sets can explore their data, looking at it this way and that, until they find the best articulation of their analysis. .
Analytics Vidhya
SEPTEMBER 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources. Most data scientists, big data analysts, and business […].
KDnuggets
SEPTEMBER 13, 2022
Free Python for Data Science Course • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Everything You've Ever Wanted to Know About Machine Learning • 7 Tips for Python Beginners • 5 Tricky SQL Queries Solved.
Dataversity
SEPTEMBER 13, 2022
Developments in artificial intelligence (AI) technologies have opened up major opportunities and improvements for data processing and analytics. Unfazed and even spurred by the COVID-19 pandemic, complex AI systems saw explosive demand to enable advances in data management, health care, knowledge graphs, and data science. This has led organizations to increase their AI and machine learning budgets by 83% since […].
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
Tableau
SEPTEMBER 12, 2022
Andy Cotgreave. Senior Technical Evangelist, Tableau at Salesforce. Bronwen Boyd. September 12, 2022 - 5:08am. September 13, 2022. Tableau’s superpower is the ability to quickly turn data from a dry, obtuse data source into a rich, impactful data story. Anyone with access to data sets can explore their data, looking at it this way and that, until they find the best articulation of their analysis. .
Analytics Vidhya
SEPTEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction As the world develops rapidly with advances in machine learning and artificial intelligence, we will soon face a situation of uncontrollable data augmentation. GPUs, TPUs, and other faster storage and processing mechanisms have so far successfully processed vast amounts of data in […].
KDnuggets
SEPTEMBER 16, 2022
By themselves, these data points will probably not provide much insight into a single customer. However, a company that has some or all of this information is well-positioned to have a strong idea of how legitimate its visitors are.
FlowingData
SEPTEMBER 16, 2022
With the growth in online shopping over the years, companies required more space to store their products, which gave rise to mega warehouses (more than 100k square feet) across the country. Judith Lewis Mernit and Geoff McGhee describe and show the growth with a map. Tags: shopping , Sierra , warehouses.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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