KDnuggets

NOVEMBER 4, 2021

Some new research from University of California, Berkeley shades some new light into how to quantify neural networks knowledge.

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Analytics Vidhya

NOVEMBER 2, 2021

This article was published as a part of the Data Science Blogathon. Introduction You’ve probably heard of TensorFlow if you’re a machine learning student. It has become an industry norm and is one of the most common tools for machine learning and deep learning experts. TensorFlow is a free and open-source library for creating machine […].

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Smart Data Collective

NOVEMBER 2, 2021

Data analytics technology has become an integral part of organizational management. This is a topic that MQ Shabbir addressed in a study that was published in Springer Open last year. There are a lot of different ways that big data can help companies streamline certain processes and resolve various challenges that they face. The advent of data visualization has made it easier than ever.

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FlowingData

NOVEMBER 5, 2021

Using Consumer Price Index, Alyssa Fowers and Rachel Siegel for The Washington Post show how the prices of everyday things rose since 2019. A set of baseline charts show lines moving up much more than one would hope, due to coronavirus and supply chain issues. Tags: coronavirus , prices , spending , Washington Post.

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Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

AI

KDnuggets

NOVEMBER 2, 2021

ML pipeline design has undergone several evolutions in the past decade with advances in memory and processor performance, storage systems, and the increasing scale of data sets. We describe how these design patterns changed, what processes they went through, and their future direction.

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Analytics Vidhya

NOVEMBER 4, 2021

This article was published as a part of the Data Science Blogathon Overview What is this “Infinite timer in Python”? What are its uses? How to make it? What is this “Infinite Timer using python”? Infinite timer using Python is a program written in Python using its libraries. It serves as a reminder by notifying […]. The post Building an Infinite Timer using Python appeared first on Analytics Vidhya.

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FlowingData

NOVEMBER 3, 2021

Based on five years of data from EPA models, ProPublica mapped areas in the United States where cancer risk is higher due to air pollution : In all, ProPublica identified more than a thousand hot spots of cancer-causing air. They are not equally distributed across the country. A quarter of the 20 hot spots with the highest levels of excess risk are in Texas, and almost all of them are in Southern states known for having weaker environmental regulations.

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KDnuggets

NOVEMBER 2, 2021

Recently I decided to take the time to better understand the Python packaging ecosystem and create a project boilerplate template as an improvement over copying a directory tree and doing find and replace.

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Analytics Vidhya

NOVEMBER 5, 2021

This article was published as a part of the Data Science Blogathon. Overview In this article, we are going to discuss automated multi-class classification on the mixed data type. Think about text classification. When we have a bunch of text and a target label. Based on the incoming text we create a model to learn […]. The post An Introduction to Automated Multi-Class Text Classification appeared first on Analytics Vidhya.

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Smart Data Collective

NOVEMBER 3, 2021

There is no denying the reality that artificial intelligence is setting new standards in the financial sector. In fact, AI is the basis for the sudden boom in Fintech. We have talked extensively about the role of AI in investment management and insurance. However, there are other segments of the financial industry that also rely on AI technology. The banking industry is among them.

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Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

ETL

Tableau

NOVEMBER 5, 2021

Andy Cotgreave. Technical Evangelist Director, Tableau. Bronwen Boyd. November 6, 2021 - 2:57am. November 6, 2021. Welcome to Best of Tableau Web! In just a few days, we’ll all be watching—and I’ll be co-hosting for the fourth time— Iron Viz , the ultimate visualization showdown, at #Data21. In just 20 minutes, the three finalists, Lisa Trescott, Pradeep Kumar G, and Samuel Parsons, will build their best data visualizations under the watchful eyes of our judges.

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KDnuggets

NOVEMBER 5, 2021

There remain critical challenges in machine learning that, if left resolved, could lead to unintended consequences and unsafe use of AI in the future. As an important and active area of research, roadmaps are being developed to help guide continued ML research and use toward meaningful and robust applications.

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Analytics Vidhya

NOVEMBER 2, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Matplotlib Matplotlib is a widely used data visualization library in python. This article illustrates how to display, modify and save an image using the ‘matplotlib’ library. We will see how to use the ‘image’ module as it makes working with images […]. The post Plotting Images Using Matplotlib Library in Python appeared first on Analytics Vidhya.

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Smart Data Collective

NOVEMBER 3, 2021

Artificial intelligence is integral to the design process. Many companies are using AI to create powerful logos and better products. Another area where AI can be fundamentally important is in web design. Web developers are using AI technology to optimize the user experience and execute their designs more quickly. However, there are some mistakes that companies can make when trying to use AI to develop new websites.

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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 1, 2021

The USDA recommends that you cook your chicken to at least 165°F to kill salmonella bacteria (time is also a factor ), which appears to be more common than I would hope. ProPublica has a Chicken Checker so that you can find out. Look up the poultry product number on your pack of chicken, and you can see what percentage of USDA samples from the respective processing plant had salmonella.

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KDnuggets

NOVEMBER 3, 2021

If you are beginning your data science journey, then you must be prepared to plan it out as a step-by-step process that will guide you from being a total newbie to getting your first job as a data scientist. These tips and educational resources should be useful for you and add confidence as you take that first big step.

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Analytics Vidhya

OCTOBER 30, 2021

This article was published as a part of the Data Science Blogathon Overview What is Transfer Learning and it’s Working How Transfer Learning Works Why Should You Use Transfer Learning? When to use Transfer Learning Models That Have Been Pre-Trained The reuse of a previously learned model on a new problem is known as […]. The post Understanding Transfer Learning for Deep Learning appeared first on Analytics Vidhya.

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Smart Data Collective

OCTOBER 31, 2021

Analytics technology is incredibly important in almost every facet of business. Virtually every industry has found some ways to utilize analytics technology, but some are relying on it more than others. The e-commerce sector is among those that has relied most heavily on analytics technology. Many e-commerce sites are discovering more innovative ways to apply data analytics.

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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

The Data Administration Newsletter

NOVEMBER 2, 2021

What is Data Governance and How Do You Measure Success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and growth strategy. But what […].

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KDnuggets

NOVEMBER 4, 2021

Productizing AI is an infrastructure orchestration problem. In planning your solution design, you should use continuous monitoring, retraining, and feedback to ensure stability and sustainability.

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Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Overview Keras is a Python library including an API for working with neural networks and deep learning frameworks. Keras includes Python-based methods and components for working with various Deep Learning applications. source: keras.io Table of Contents What exactly is Keras? Models Explaining Deep […].

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Smart Data Collective

NOVEMBER 4, 2021

There are many important considerations for people using cloud technology. Lots of businesses have already moved to the cloud. One of the most important issues is cloud security. Cyberattacks have been named one of five top-rated risks in 2020, according to Global Risks Report for both private individuals and businesses. In 2021 the tendency is not expected to slow down as in IoT sector alone cyberattacks are projected to double in the next five years.

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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

FlowingData

NOVEMBER 4, 2021

Welcome to issue #164 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and this week I’m thinking about how the many uses of visualization spawned about a million and one tools to view data. Become a member for access to this — plus tutorials, courses, and guides.

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KDnuggets

NOVEMBER 3, 2021

This article looks at neural networks from a Bayesian perspective.

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Analytics Vidhya

OCTOBER 30, 2021

Overview: PSO is a stochastic optimization technique based on the movement and intelligence of swarms. In PSO, the concept of social interaction is used for solving a problem. It uses a number of particles (agents) that constitute a swarm moving around in the search space, looking for the best solution. Each particle in the swarm […]. The post An Introduction to Particle Swarm Optimization (PSO) Algorithm appeared first on Analytics Vidhya.

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Smart Data Collective

NOVEMBER 1, 2021

Big data technology has become a very important aspect of modern retail. Countless retailers are finding ways to leverage big data to gain a greater competitive edge, market more effectively to customers and improve the in-store experience. One of the biggest ways that big data is being applied by many retail businesses is with QR codes. QR codes give businesses access to major troves of information.

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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

DeepMind

NOVEMBER 1, 2021

When people picture a world with artificial general intelligence (AGI), robots are more likely to come to mind than enabling solutions to society’s most intractable problems. But I believe the latter is much closer to the truth. AI is already enabling huge leaps in tackling fundamental challenges: from solving protein folding to predicting accurate weather patterns, scientists are increasingly using AI to deduce the rules and principles that underpin highly complex real-world domains - ones they

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AI AI 108

KDnuggets

NOVEMBER 2, 2021

Machine Learning vs NLP vs Data Engineer vs Data Scientist, and what it means to be in each role.

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Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon What is EDA(Exploratory data analysis)? Exploratory data analysis is a great way of understanding and analyzing the data sets. The EDA technique is extensively used by data scientists and data analysts to summarize the main characteristics of data sets and to visualize them through […].

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Smart Data Collective

OCTOBER 30, 2021

Last year, one expert reported that Netflix used big data to grow to become a $100 billion company. This shouldn’t surprise anybody, because big data has been instrumental in their business model since the day the company was launched. Netflix, by far, is one of the most reputed, loved, preferred, and biggest OTT Platforms and has also been around the longest.

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline