Sat.Jul 23, 2022 - Fri.Jul 29, 2022

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Pandas Functions You Should Know for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Having knowledge of different pandas functions certainly helps to complete the analysis in time. Therefore, I have listed […]. The post Pandas Functions You Should Know for Data Analysis appeared first on Analytics Vidhya.

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The 5 Hardest Things to Do in SQL

KDnuggets

The 5 hardest things Josh Berry, a 15 year analytics professional, experienced while switching from Python to SQL. Offering examples, SQL code, and a resource to customize the SQL to your own project.

SQL 351
professionals

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Trending Sources

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Can Predictive Analytics Help Traders Navigate Bitcoin’s Volatility?

Smart Data Collective

Bitcoin has experienced tremendous price volatility in recent months. Traders are struggling to make sense of these patterns. Fortunately, new predictive analytics algorithms can make this easier. The financial industry is becoming more dependent on machine learning technology with each passing day. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology.

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RStudio changes name to Posit

FlowingData

RStudio, the company behind the IDE of the same name, are changing their name to Posit : Our charter defines our mission as the creation of free and open source software for data science, scientific research, and technical communication. This mission intentionally goes beyond “R for Data Science”—we hope to take the approach that’s succeeded with R and apply it more broadly.

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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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Analysis on Dark Chocolates using Python and Plotly

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Who doesn’t love chocolate? Everybody does. But not everyone likes dark chocolates as they taste bitter. But if you want to be healthy and want to overcome some stressful situation, this bad guy will give you some relief. Just take a bite […]. The post Analysis on Dark Chocolates using Python and Plotly appeared first on Analytics Vidhya.

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Practical Deep Learning from fast.ai is Back!

KDnuggets

Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.

More Trending

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This impressive 1,500W DIY solar powered car-replacing e-bike does kid carpool & grocery runs

Hacker News

Last month we featured an awesome DIY solar cargo trailer that an Electrek reader built for his electric bike. Just in case you needed any more proof that our readers are some of the handiest and most clever eco-DIYers on the planet, we’ve got another impressive solar powered electric bike to show you. This time it does double duty a school drop-off vehicle for the kids and a grocery getter. more….

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Top Interview Questions & Answers for Apache Sqoop

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Such RDBMS-generated Big Data is kept in the relational database structure of Relational Database Servers. Big Data storage and analysis […].

Big Data 390
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KDnuggets News, July 27: The AIoT Revolution: How AI and IoT Are Transforming Our World • Introduction to Hill Climbing Algorithm

KDnuggets

Calculus for Data Science • Real-time Translations with AI • Using Numpy's argmax() • Using the apply() Method with Pandas DataFrames • An Introduction to Hill Climbing Algorithm in AI.

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4 Ways for Data-Driven Startups to Find Electronics Online

Smart Data Collective

Are you planning on running a startup that relies heavily on data analytics technology ? This is a smart decision. A report by Entrepreneur shows that companies that use big data have 8% higher profits. They also cut expenses by an average of 10%. There are tons of great benefits of using big data to run your company. You can improve marketing strategies with big data , improve employee productivity, meet compliance targets and track trends more easily.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Data visualization(-ish) in the style of famous artists

FlowingData

DALL-E is an AI system from OpenAI that creates images from text. You can enter very random things and get very real-looking output. So of course someone entered “data visualization in the style of insert-anything-here” for a wide array of inspiration. I’m partial to the bar chart made out of cake. Tags: AI , DALL-E , OpenAI.

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An End-to-end Guide on Anomaly Detection with PyCaret

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how a person or a bank is notified of the wrongful transaction of his credit card, like how did system can notify that particular person or the bank about the transaction, which will help save his money by […]. The post An End-to-end Guide on Anomaly Detection with PyCaret appeared first on Analytics Vidhya.

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Detecting Data Drift for Ensuring Production ML Model Quality Using Eurybia

KDnuggets

This article will focus on a step-by-step data drift study using Eurybia an open-source python library.

ML 388
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5 Tips to Improve the Data Security of Software Applications

Smart Data Collective

In today’s world, data is increasingly being shared and stored electronically. Therefore, the need to protect data from unauthorized access or theft is more important than ever. The of data breaches cannot be overstated. Over 440 million data records were exposed in data breaches in 2018 alone. This figure is growing as more people work from home and don’t take adequate precautions.

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Marketing Operations in 2025: A New Framework for Success

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.

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? Visualization Tools and Learning Resources, July 2022 Roundup

FlowingData

Welcome to issue #198 of The Process , the newsletter for FlowingData members that looks closer at how the charts get made. I’m Nathan Yau, and every month I collect useful tools and resources to help you visualize data better. Here’s the good stuff for July. Become a member for access to this — plus tutorials, courses, and guides.

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Scaling- Transformers, Laws and Challenges

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The other day, I was reading “Natural Language Processing with Transformers” a book authored by Lewis Tunstall, Leandro von Werra, and Thomas Wolf. In it, I came across Scaling laws and challenges associated with scaling Transformer models. This topic also included excerpts […].

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Is Domain Knowledge Important for Machine Learning?

KDnuggets

If you incorporate domain knowledge into your architecture and your model, it can make it a lot easier to explain the results, both to yourself and to an outside viewer. Every bit of domain knowledge can serve as a stepping stone through the black box of a machine learning model.

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5 Reasons SoD Protocols Are Vital to Modern Data Security

Smart Data Collective

Data breaches are becoming far more common these days. Security Magazine reports that over 22 billion records were exposed in the over 4,000 publicly disclosed data breaches last year. The actual number is likely higher, since many data breaches are never reported. We have talked extensively about the importance of taking precautions to prevent data breaches.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Florence Nightingale’s use of data visualization to persuade in the 19th century

FlowingData

For Scientific American, RJ Andrews looks back at the visualization work of Florence Nightingale : Recognizing that few people actually read statistical tables, Nightingale and her team designed graphics to attract attention and engage readers in ways that other media could not. Their diagram designs evolved over two batches of publications, giving them opportunities to react to the efforts of other parties also jockeying for influence.

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How a Delta Lake is Process with Azure Synapse Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […]. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.

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Does the Random Forest Algorithm Need Normalization?

KDnuggets

Normalization is a good technique to use when your data consists of being scaled and your choice of machine learning algorithm does not have the ability to make assumptions on the distribution of your data.

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5 Setmore Alternatives that Use Big Data to Manage Appointments

Smart Data Collective

Big data technology has helped businesses improve efficiency in many important ways. Many companies are using big data to streamline many different aspects of their business. They use data analytics tools to improve financial management, One of the ways that many companies are using big data is to improve the way that they manage appointments. They can use data-driven appointment management tools to make this process easier than ever.

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The Cloud Development Environment Adoption Report

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.

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Revisiting data science, the career

FlowingData

In 2012 , Thomas Davenport and DJ Patil outlined a budding career choice called “data science” where people, with a combination of programming and statistics, made sense of “big” datasets. For Harvard Business Review, Davenport and Patil revisit the career ten years later : A decade later, the job is more in demand than ever with employers and recruiters.

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ETL Pipeline with Google DataFlow and Apache Beam

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. Many companies prefer to work with serverless tools and codeless solutions to minimize costs and streamline their processes. Building an ETL pipeline using Apache […].

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Top Posts July 18-24: Free Python Automation Course

KDnuggets

Free Python Automation Course • Machine Learning Algorithms Explained in Less Than 1 Minute Each • Parallel Processing Large File in Python • 12 Most Challenging Data Science Interview Questions • Decision Tree Algorithm, Explained.

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Prioritizing Cybersecurity at the Leadership Level

Dataversity

Week after week, month after month, shareholder cyber lawsuits hit the news. Capital One settles for $190 million. A class-action lawsuit was filed against Ultimate Kronos Group for alleged negligence regarding a ransomware attack, identifying a poor cybersecurity system as the root problem. These two news items in recent months underscore the risks companies face in their ongoing war […].

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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Housing displacement after disasters

FlowingData

Christopher Flavelle, for The New York Times, reported on the lack of support from the Federal Emergency Management Agency for those who were displaced by natural disasters. Area charts by Mira Rojanasakul show how much the support has been lagging. Tags: disaster , FEMA , housing , New York Times.

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Apache Flume Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage. It has a simplistic and adaptable […].

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K-nearest Neighbors in Scikit-learn

KDnuggets

Learn about the k-nearest neighbours algorithm, one of the most prominent workhorse machine learning algorithms there is, and how to implement it using Scikit-learn in Python.

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3 Common Zero Trust Challenges – and How to Overcome Them

Dataversity

According to IBM, the average cost of a breach was $1.76 million less at organizations with a mature zero trust approach than those without. It’s understandable why this verify-first, trust-later mentality has gained steam over the last few years. And the reality is, that organizations don’t have much of a choice. The world saw an alarming […].

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.