Sat.Feb 05, 2022 - Fri.Feb 11, 2022

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The Complete Collection of Data Science Cheat Sheets – Part 1

KDnuggets

A collection of cheat sheets that will help you prepare for a technical interview, assessment tests, class presentation, and help you revise core data science concepts.

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Optimal Resource Allocation using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Objective “True optimization is the revolutionary contribution of modern research to decision processes” – George Dantzig. This article discusses solving a resource allocation problem using linear programming in Python. We will find an optimal value for a linear equation with different linear constraints.

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Deepdub closes fresh round for dubbing AI that dubs movies, shows, and games

Dataconomy

Dubbing, where recordings in other languages are lip-synced and mixed with a show’s original soundtrack, is an exploding business. One localization platform, Zoo Digital, saw revenues jump by 73% to $28.6 million in July 2018 compared to the year prior. Another, BTI Studios, told Television Business International that dubbing grew from 3%.

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Stop paying for APIs to calculate distances and use this Open Source tool!

Applied Data Science

How to use OSRM to calculate distances reliably and for free. Photo by T.H. Chia on Unsplash Calculating distances between a set of coordinates is something that regularly comes up in Data Science projects. Whether it is planning routes for delivery services, or measuring a customer’s willingness to travel to certain locations, getting an accurate measure of distance is always key.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Managing Your Reusable Python Code as a Data Scientist

KDnuggets

Here are a few approaches that I have settled on for managing my own reusable Python code as a data scientist, presented from most to least general code use, and aimed at beginners.

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11 Extensions to Power Up your Jupyter Notebook

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. […]. The post 11 Extensions to Power Up your Jupyter Notebook appeared first on Analytics Vidhya.

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Age of Moms When Kids are Born

FlowingData

People have kids at a wide range of ages, but the moments tend towards where we are in life. There are social norms and biological norms. Based on data from the National Center for Health Statistics, we can see how these ranges shift by child number. Read More.

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How to Learn Math for Machine Learning

KDnuggets

So how much math do you need to know in order to work in the data science industry? The answer: Not as much as you think.

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Different Types of Cross-Validations in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Model Development is a critical stage in the life cycle of a Data Science project. We attempt to train our data set using various forms of Machine Learning models, either supervised or unsupervised, depending on the Business Problem. Given many models available for […].

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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. Analytics technology has become an invaluable aspect of modern financial trading. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge.

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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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? How to Make a Line Chart with a Color Gradient in R

FlowingData

It’s typically straightforward to make and read a line chart. The position on the line represents a value, and the slope between points represents a rate of change. Usually a line chart that represents a single time series uses a solid color for the line. But while messing with a heatmap, which uses color as its primary visual encoding, I was curious what you could show if you introduced a color scheme to a line chart.

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The Not-so-Sexy SQL Concepts to Make You Stand Out

KDnuggets

Databases are the houses of our data and data scientists HAVE TO HAVE A KEY! In this article, I discuss some lesser known concepts of SQL that data scientists do not familiarize themselves with.

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Workflow of MLOps: Part 2 | Model Building

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. This is the 2nd blog of the MLOps series. Introduction This article is part of an ongoing blog series on Machine Learning Operations(MLOps). In the previous article, we have gone through the introduction of MLOps. We have seen differences in traditional software development in […].

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Cloud Technology Makes Virtual Assistants More Beneficial than Ever

Smart Data Collective

More companies are relying on cloud technology than ever before. They are discovering the benefits of using the cloud to utilize data and facilitate communications between employees, customers, contractors and other stakeholders. One of the underappreciated benefits of cloud technology is that it makes it easier to work with virtual assistants. Savvy executives and small business owners realize that virtual assistants can perform many important tasks a lot more efficiently.

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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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Bubble tea combinations, a visual breakdown

FlowingData

Walk into a boba shop and usually you’ll see a large menu that lists the options for your tea, milk, toppings, ice, and sweetness. With all the variations, you get a lot of combinations. Julia Janicki and Daisy Chung broke it down with an interactive that takes you through the steps. Tags: boba , combinations , Daisy Chung , Julia Janicki.

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Junior Data Scientist: The Next Level

KDnuggets

There is a difference in the level of experience compared to Junior, Mid-Level, and Senior Data Scientists. This article will go through the expectations for all job roles and what is required to move up the ladder.

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Exploratory Data Analysis in Python

Analytics Vidhya

Overview Understanding how EDA is done in Python Various steps involved in the Exploratory Data Analysis Performing EDA on a given dataset Introduction Exploratory data analysis popularly known as EDA is a process of performing some initial investigations on the dataset to discover the structure and the content of the given dataset. It is often […].

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5 Data Security Strategies Businesses Should Implement

Smart Data Collective

We have witnessed some horrifying data breaches over the last year. One of the worst was when a team of Chinese hackers penetrated the security of the Microsoft Exchange and accessed the accounts of over 250,000 global organizations. The Colonial Pipeline and SolarWinds were also victims to hackers. While large corporations like these will continue to be targets for data breaches, small businesses are also at risk.

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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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? Good Redundant – The Process 176

FlowingData

Welcome to issue #176 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m thinking about using more color, and more generally, using more encodings to show the same thing in one chart. Become a member for access to this — plus tutorials, courses, and guides.

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5 Ways to Apply AI to Small Data Sets

KDnuggets

It is better to use AI algorithms on small data sets for results free of human errors and false results when applied correctly. Here are some methods to apply AI to small data sets.

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Folder Management in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview “You’re either the one that creates the automation or you’re getting automated.” Tom Preston-Werner. Automation affects almost every aspect of modern life, and it can be used in any industry. Automation minimizes human input and eliminates doing repetitive tasks.

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How AI Caused RYUK Ransomware to Disrupt Healthcare Technology

Smart Data Collective

Artificial intelligence has been a positive force in our lives. A growing number of organizations are using AI technology to improve productivity, increase customer satisfaction, minimize errors and better understand emerging trends. However, AI has also led to some troublesome changes as well. One of the biggest problems brought on by AI technology is in the field of cybersecurity.

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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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Past redlining still seen in the present

FlowingData

In the 1930s, a group called the Home Owners’ Loan Corporation went to cities classifying neighborhoods based on the “risk” of defaulting on loans. Areas deemed highest risk were marked with red ink on a map, and these areas tended to be non-white. The classification, redlining, was made illegal, but you can still see the effects today, as shown by Ryan Best and Elena Mejía with these interactive maps for FiveThirtyEight.

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Build a Web Scraper with Python in 5 Minutes

KDnuggets

In this article, I will show you how to create a web scraper from scratch in Python.

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Heart Disease Prediction using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be closely working with the heart disease prediction and for that, we will be looking into the heart disease dataset from that dataset we will derive various insights that help us know the weightage of each feature and […]. The post Heart Disease Prediction using Machine Learning appeared first on Analytics Vidhya.

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How Team USA uses data to build a digital HQ

Tableau

Stephanie Jensen. Marketing Content & Editorial Manager. Tanna Solberg. February 7, 2022 - 10:40pm. February 8, 2022. Confident decision-making begins with having the right insights at the right time. And when you’re talking about Team USA—one of the world’s most respected and influential sports organizations—making confident decisions is the winning strategy.

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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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Modernized version of a mid-19th century encylopedia

FlowingData

Between 1849 and 1851, J.G. Heck published a 10-part encyclopedia called Iconographic Encyclopædia covering a wide range of topics in science and art. Nicholas Rougeux, who likes to web-ify old works , restored Heck’s 13,000-plus illustrations and restructured the encyclopedia for the browser. All it took was hours of manual labor spread out over 13 months.

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KDnuggets™ News 22:n06, Feb 9: Data Science Programming Languages and When To Use Them; Complete Collection of Data Science Cheat Sheets

KDnuggets

Data Science Programming Languages and When To Use Them; The Complete Collection of Data Science Cheat Sheets – Part 1; Build a Web Scraper with Python in 5 Minutes; 8 Best Data Science Courses to Enroll in 2022 For Steep Career Advancement; Classifying Long Text Documents Using BERT.

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Guide On Customer Churn: Don’t Just Predict, Prevent it!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Phonepe, Google Pay (Tez) are ubiquitous names in the Indian payment ecosystem and the top two players in the area. According to Phonepe pulse report, it has133 million monthly active users as of July’21. For the Q3-21 quarter, the total transactions were 526.8 Cr […].

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How Records of Processing Activities (ROPA) Can Benefit Your Business

Dataversity

GDPR introduced the Records of Processing Activities (ROPA) requirements to drive better accountability from organizations with their use of personal data. Before GDPR, organizations didn’t track how they used and shared personal data, making data privacy risks impossible to comprehend. Now GDPR mandates that organizations create and maintain essential information about how an organization uses personal data. […].

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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.