KDnuggets

MAY 13, 2022

This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.

Clustering 400

Clustering Machine Learning Machine Learning 400

Analytics Vidhya

MAY 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working to develop an application from computer vision techniques that will reverse the video, and also, we will be able to save that reversed video in our local system. In this application, we will also have […]. The post Reversing the Video Using Computer Vision appeared first on Analytics Vidhya.

Data Science 362

Data Science Analytics Analytics 362

Dataconomy

MAY 13, 2022

The European Union is disturbed by the lack of comprehensive regulation of artificial intelligence. The EU AI Act is an important step that will determine the future of artificial intelligence in the context of personal data protection. It’s a lawless world for artificial intelligence in today’s society. The European Union.

Artificial Intelligence 254

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FlowingData

MAY 12, 2022

Oftentimes what we’re doing isn’t so important as who we’re spending our time with. Based on data from the American Time Use Survey, this is a simulated day for 100 people. Read More.

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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?

AI

KDnuggets

MAY 12, 2022

By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.

Deep Learning 351

Deep Learning Deep Learning Machine Learning Machine Learning 351

Analytics Vidhya

MAY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The main reason for the advancement in this field is the increase in the computational power and […].

Machine Learning 352

Machine Learning Machine Learning Data Science Analytics 352

Smart Data Collective

MAY 13, 2022

Did you know that global companies are projected to spend nearly $1.6 trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools.

Analytics 133

Analytics Analytics AI AI 133

KDnuggets

MAY 10, 2022

This is a list of FREE data science resources and notes that are available online, some of which are provided by universities.

Data Science 398

Data Science 398

Analytics Vidhya

MAY 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data. The Apache Flume tool is designed mainly for ingesting a high volume […]. The post Get to Know Apache Flume from Scratch!

Hadoop 342

Hadoop Data Science Analytics Analytics 342

Dataconomy

MAY 13, 2022

In a detailed comparison, we’ll look at the similarities and differences between interpolation vs extrapolation. The words “interpolation” and “extrapolation” may seem extremely technical, but they’re not that complex. Each term is employed somewhat differently, whether they’re being used generally or about math and data science.

Data Science 240

Data Science 240

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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.

Database

Smart Data Collective

MAY 10, 2022

Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Although they are still the minority, this figure has risen from almost nothing under a decade ago. Data analytics serves many different purposes. We have talked at length about the benefits of using big data to improve financial management and implement more effective marketing strategies.

Analytics 129

Analytics Analytics Big Data Big Data 129

KDnuggets

MAY 9, 2022

Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.

Machine Learning 400

Machine Learning Machine Learning 400

Analytics Vidhya

MAY 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task. The AutoML model aims to automate all actions which require more time, such as algorithm selection, […].

Data Preparation 303

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Dataconomy

MAY 9, 2022

Today’s artificial intelligence technologies use quite a lot of energy. For this reason, the production of low-energy AI systems is very important for a sustainable world. Artificial intelligence may be performed using tiny nanomagnets that communicate similarly to neurons in the brain, according to researchers. The Imperial College London researchers.

Artificial Intelligence 227

Artificial Intelligence Artificial Intelligence AI AI 227

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.

Eugene Yan

MAY 7, 2022

Industry examples, exploration strategies, warm-starting, off-policy evaluation, and more.

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KDnuggets

MAY 10, 2022

While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.

Machine Learning 312

Machine Learning Machine Learning ML ML 312

Analytics Vidhya

MAY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Configuration Let’s You have a job crunching trillions of image data points to extract insights, and you don’t have sufficient storage or processing power to do it, so what will you do – Stop in the Middle or Get […]. The post Configure Jupyter Notebook On AWS In 2-Steps appeared first on Analytics Vidhya.

AWS 278

AWS Data Science Analytics Analytics 278

Dataconomy

MAY 12, 2022

In the era of digital workplace, enterprises are utilizing cutting-edge technologies and today we are going to discuss how AI in security systems could help businesses increase their cybersecurity. Artificial intelligence (AI) is becoming more prevalent than you may realize.

Artificial Intelligence 225

Artificial Intelligence Artificial Intelligence AI AI 225

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.

Data Science

Smart Data Collective

MAY 10, 2022

Artificial intelligence (AI) is all the rage now. It’s impacting numerous industries globally and changing the way we do things. One of the critical industries AI is making strides in is the financial technology “fintech” industry. AI now plays a significant role in facilitating financial services, replacing what required manual work a few years ago.

Artificial Intelligence 108

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KDnuggets

MAY 11, 2022

The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.

Data Science 294

Data Science 294

Analytics Vidhya

MAY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Apache Flume Apache Flume is a platform for aggregating, collecting, and transporting massive volumes of log data quickly and effectively. It is very reliable and robust. Its design is simple, based on streaming data flows, and written in the Java programming […].

Data Science 266

Data Science Analytics Analytics 266

Dataconomy

MAY 10, 2022

What are the most significant business intelligence benefits and the technologies used to exploit them? You’ve undoubtedly heard the adage “work smarter, not harder.” That phrase might as well have been coined for business intelligence software (BI). Business intelligence software (BI) is made up of various data analytics tools used.

Business Intelligence 201

Business Intelligence Business Intelligence Analytics Analytics 201

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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.

Analytics

Smart Data Collective

MAY 13, 2022

There are many reasons big data has become a double-edged sword for businesses. One of the biggest examples is with employee monitoring. Many companies are using data analytics to monitor their employee productivity and other behavior. It can be even more beneficial than using big data for recruiting. This is an area where big data can help immensely.

Big Data 107

Big Data Big Data Analytics Analytics 107

KDnuggets

MAY 12, 2022

Learn about the free and easy-to-deploy hosting platform for your machine learning projects.

Machine Learning 400

Machine Learning Machine Learning 400

Analytics Vidhya

MAY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Cosmos DB Hello! Data Engineers, I am sure this simple article will help you guys better understand Cosmos DB from Azure with nice features. Recently many customers have been looking forward to implementing the Data Migration into Cosmos DB. Before getting […].

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Dataconomy

MAY 13, 2022

When one talks about immense computing powers, the question ‘what is a supercomputer’ pops up in some people’s heads. So let’s explain: A supercomputer is a computer with a high level of performance compared to a general-purpose computer. Floating-point operations per second (FLOPS) are used to measure the performance of.

Big Data 183

Big Data Big Data Artificial Intelligence Artificial Intelligence 183

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.

Analytics

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. Consumers are presented with ads every day they access the online world. The number of options available to them can sometimes really stress them out.

Big Data Analytics 104

Big Data Analytics Big Data Analytics Big Data Big Data 104

KDnuggets

MAY 11, 2022

SQL Notes for Professionals: The Free eBook Review; How To Structure a Data Science Project: A Step-by-Step Guide; Everything You Need to Know About Tensors; Free University Data Science Resources; Image Classification with Convolutional Neural Networks (CNNs).

Data Science 271

Data Science SQL 271

Analytics Vidhya

MAY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction Dealing with sequential data is considered one of the hardest problems to solve in the Data science industry. Standard neural networks have paved a new path in the rising AI industry. It worked very well with tabular data but every new invention in […]. The post An Introduction to Long Short-Term Memory (LSTMs) appeared first on Analytics Vidhya.

Data Science 254

Data Science Analytics Analytics AI 254

Dataconomy

MAY 12, 2022

A new machine learning framework developed at the U.S. Department of Energy’s Brookhaven National Laboratory can hone in on which parts of a multistep chemical conversion should be altered to increase productivity. The technique may assist researchers in determining the shape of catalysts, also known as chemical dealmakers that speed.

ML 155

ML ML Machine Learning Machine Learning 155

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.