KDnuggets

NOVEMBER 29, 2022

First steps to learning data science & machine learning are the foundations.

Machine Learning 400

Machine Learning Machine Learning Data Science 400

Analytics Vidhya

NOVEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Which language do we use when it comes to data analysis? Of course, Python, isn’t it? But there is one more language for data analysis which is growing rapidly. Some of you might guess the language – I am talking about Julia. […]. The post An Introduction to Julia for Data Analysis appeared first on Analytics Vidhya.

Data Analysis 399

Data Analysis Data Analysis Data Science Python 399

Dataconomy

NOVEMBER 28, 2022

It’s really important to discuss the benefits and drawbacks of artificial intelligence before it gets out of hand because this technology is improving and evolving at such a pace. As a computer science field, AI focuses on developing software and machines that mimic human thinking. Some artificial intelligence systems can.

Artificial Intelligence 254

Artificial Intelligence Artificial Intelligence Computer Science Computer Science 254

Machine Learning Research at Apple

NOVEMBER 7, 2022

Today, we are excited to release optimizations to Core ML for Stable Diffusion in macOS 13.1 and iOS 16.2, along with code to get started with deploying to Apple Silicon devices. Figure 1: Images generated with the prompts, "a high quality photo of an astronaut riding a (horse/dragon) in space" using Stable Diffusion and Core ML + diffusers running on-device on Apple Silicon.

ML 242

ML ML 242

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

FlowingData

NOVEMBER 10, 2022

People were asked to score their life satisfaction from 0 to 10, where 10 is the best possible life and 0 is the worst possible life. This is the average score by age. It might be time to rethink life. Read More.

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Smart Data Collective

NOVEMBER 2, 2022

Big data technology has changed the future of marketing in a multitude of ways. A growing number of organizations are leveraging big data to get higher ROIs from their organic and paid marketing campaigns. As a result, companies around the world spent over $52 billion on data-driven marketing solutions in 2021. The Fintech sector is among those most reliant on data-driven marketing.

Big Data 145

Big Data Big Data Analytics Analytics 145

Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction FaceIO is a cross-browser framework for user facial recognition authentication. Any website can use a JavaScript snippet to implement it. As more and more daily tasks are managed electronically rather than with pen and paper or face-to-face, the demand for quick and […].

Data Science 399

Data Science Analytics Analytics Python 399

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.

Artificial Intelligence 254

Artificial Intelligence Artificial Intelligence AI AI 254

Cassie Kozyrkov

NOVEMBER 30, 2022

A primer on interpreting other people’s hypothesis tests Continue reading on Towards Data Science »

Hypothesis Testing 130

Hypothesis Testing Data Science Machine Learning Machine Learning 130

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.

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Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

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.

Big Data 144

Big Data Big Data Big Data Analytics Big Data Analytics 144

KDnuggets

NOVEMBER 23, 2022

Yellowbrick for creating machine learning plots with less code.

Machine Learning 400

Machine Learning Machine Learning Data Science 400

Analytics Vidhya

NOVEMBER 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hierarchical clustering is one of the most famous clustering techniques used in unsupervised machine learning. K-means and hierarchical clustering are the two most popular and effective clustering algorithms. The working mechanism they apply in the backend allows them to provide such a […].

Clustering 398

Clustering Machine Learning Machine Learning Data Science 398

Dataconomy

NOVEMBER 7, 2022

It’s key to understanding the roles of big data and artificial intelligence in our data-driven world. Before anyone knew big data existed, it had already taken over the globe. Big data had amassed an enormous amount of stored information by the time the term was coined. If properly examined, it.

Big Data 254

Big Data Big Data Artificial Intelligence Artificial Intelligence 254

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

Machine Learning Research at Apple

NOVEMBER 30, 2022

Multi-lingual language models (LM), such as mBERT, XLM-R, mT5, mBART, have been remarkably successful in enabling natural language tasks in low-resource languages through cross-lingual transfer from high-resource ones. In this work, we try to better understand how such models, specifically mT5, transfer any linguistic and semantic knowledge across languages, even though no explicit cross-lingual signals are provided during pre-training.

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FlowingData

NOVEMBER 3, 2022

Daylight saving time ends in the United States this weekend and ended already in other places. This can only mean one thing, which is that we must hem and haw about whether to shift our clocks or not. Aaron Steckelberg and Lindsey Bever, for The Washington Post, illustrated the sleep challenges that arise when we have to change measured time, which is easy to shift with button presses, against our less malleable internal time, which is more in tune with sunlight.

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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.

Analytics 144

Analytics Analytics Big Data Big Data 144

KDnuggets

NOVEMBER 18, 2022

The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.

Data Science 400

Data Science Python 400

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

Analytics Vidhya

NOVEMBER 15, 2022

This article was published as a part of the Data Science Blogathon. Introduction Voting ensembles are the ensemble machine learning technique, one of the top-performing models among all machine learning algorithms. As voting ensembles are the most used ensemble techniques, there are lots of interview questions related to this topic that are asked in data […].

Machine Learning 398

Machine Learning Machine Learning Data Science Algorithm 398

Dataconomy

NOVEMBER 2, 2022

With this article, you can get the best Mastodon server list and find out how to change it if you don’t like it. There are indications that there is a tiny but growing departure from Twitter. Many Twitter users are waiting it out and may not have completely deleted their.

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Adrian Bridgwater for Forbes

NOVEMBER 29, 2022

As we continue to try and work out where technology should best be applied to elevate us up and away from the forces of disruption that still circle, there is perhaps a natural temptation to look for macro-level trends, but could an SME focus also help?

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IBM Data Science in Practice

NOVEMBER 28, 2022

As organizations steer their business strategies to become data-driven decision-making organizations, data and analytics are more crucial than ever before. Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

Smart Data Collective

NOVEMBER 12, 2022

Data has unquestionably had a huge impact on our lives. It is becoming more prolific as well, as 2.5 quintillion bytes of data are generated every day. Data is everything in today’s tech-driven world. Every company collects data , analyzes it, and makes its marketing and sales strategies based on the data’s results to attract more customers and increase sales and profits.

Data Analyst 143

Data Analyst Data Analysis Data Analysis Data Wrangling 143

KDnuggets

NOVEMBER 16, 2022

While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.

Data Science 400

Data Science Data Scientist 400

Analytics Vidhya

NOVEMBER 14, 2022

This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines. Before DevOps, software development teams, quality assurance (QA) teams, security, and operations would test the code for several […].

Azure 398

Azure Data Science Analytics Analytics 398

Dataconomy

NOVEMBER 9, 2022

Today, AI is used in almost every industry, and tools provided by artificial intelligence in science are no exception. The amount of data generated by many of today’s physics and astronomy studies is so great that no human or group of humans could keep up. Some of them daily record.

Artificial Intelligence 251

Artificial Intelligence Artificial Intelligence AI AI 251

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Cassie Kozyrkov

NOVEMBER 27, 2022

Introduction to “good” statistical estimators and their properties Continue reading on Towards Data Science »

Data Science 130

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 130

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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Smart Data Collective

NOVEMBER 2, 2022

Artificial intelligence has upended the digital marketing profession. A growing number of marketers are using AI to optimize and automate marketing campaigns in fantastic ways. Jason Hall, Founder and CEO of FiveChannels described some of the phenomenal benefits of leveraging AI in digital marketing in a post in Forbes. Hall states that AI hasn’t removed the need for human input in marketing, but it has helped remove a lot of the monotonous tasks that humans used to participate in.

AI 140

AI AI Artificial Intelligence Artificial Intelligence 140

KDnuggets

NOVEMBER 16, 2022

Knowing git is no longer an option for data professionals. Grab this handy reference sheet now and make sure you know how to git the job done.

Data Science 400

Data Science 400

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!