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.
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 […].
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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?
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.
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 […].
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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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.
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 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: 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
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 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: 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
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 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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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
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.
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 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.
Smart Data Collective
SEPTEMBER 14, 2022
Artificial intelligence is changing the financial industry in extraordinary ways. DataMotion projects that the fintech sector will spend over $26 billion on AI by 2026. There are many great applications of AI in the financial sector. One of the best is the promise of taking advantage of high-frequency trading. There are a lot of great AI tools that help traders engage in high-frequency trading.
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.
FlowingData
SEPTEMBER 14, 2022
Measuring the condition of the economy is tricky, because there are many parts to the economy. You can’t just say it’s good or bad. So Ben Casselman and Lauren Leatherby, for The New York Times, broke it down with a series of charts to view from different angles. Tags: economy , New York Times.
Analytics Vidhya
SEPTEMBER 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction Natural language processing is one of the most widely used skills at the enterprise level as it can deal with non-numeric data. As we know machines communicate in either 0 or 1. Still, we as humans communicate in our native languages (English as a […]. The post Implementing Count Vectorizer and TF-IDF in NLP using PySpark appeared first on Analytics Vidhya.
KDnuggets
SEPTEMBER 14, 2022
Free Python for Data Science Course • Everything You’ve Ever Wanted to Know About Machine Learning • Progress Bars in Python with tqdm for Fun and Profit • 7 Tips for Python Beginners • 7 Data Analytics Interview Questions & Answers.
Smart Data Collective
SEPTEMBER 13, 2022
Big data technology has led to some major changes in the banking sector. Many of the changes have been beneficial for small businesses. One of the biggest benefits of big data has been the development of ACH payment processing. Many businesses can benefit from it if they use it correctly. Big Data Leads to Great Opportunities for Businesses Relying on ACH Transactions.
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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