Sat.Jan 01, 2022 - Fri.Jan 07, 2022

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SQL Interview Questions for Experienced Professionals

KDnuggets

This article will show you what SQL concepts you should know as an experienced professional.

SQL 400
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Diabetes 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 predicting that whether the patient has diabetes or not on the basis of the features we will provide to our machine learning model, and for that, we will be using the famous Pima Indians Diabetes Database. Image […]. The post Diabetes Prediction Using Machine Learning appeared first on Analytics Vidhya.

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Exploring the use of the Python programming language for data engineers

Dataconomy

Python is one of the most popular programming languages worldwide. It often ranks high in surveys: for instance, it claimed the first spot in the Popularity of Programming Language index and came second in the TIOBE index. The chief focus of Python was never web development. However, a few years ago, software engineers realized.

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What is Privacy Engineering?

The Data Administration Newsletter

Introduction Privacy engineering, as a discrete discipline or field of inquiry and innovation, may be defined as using engineering principles and processes to build controls and measures into processes, systems, components, and products that enable the authorized, fair, and legitimate processing of personal information. One privacy leader defines it as the “inclusion and implementation of […].

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

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Deliver a Killer Presentation in Data Science Interviews

KDnuggets

How to present yourself as a strong candidate in interview presentations.

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Building Language Models in NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A language model in NLP is a probabilistic statistical model that determines the probability of a given sequence of words occurring in a sentence based on the previous words. It helps to predict which word is more likely to appear next in the […]. The post Building Language Models in NLP appeared first on Analytics Vidhya.

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AI Underscores Passwordless Authentication Risks for Internet Users

Smart Data Collective

Advances in artificial intelligence have been shaping the state of the Internet for years. One of the biggest changes has been in the arena of cybersecurity. AI technology has been a double-edged sword for the cybersecurity sector. On the one hand, it offers robust protection against data breaches , malware and other online security threats. Cybersecurity experts are expected to spend over $38.2 billion on AI-driven cybersecurity solutions by 2026.

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Automate Microsoft Excel and Word Using Python

KDnuggets

Integrate Excel with Word to generate automated reports seamlessly.

Python 400
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TOP 10 GitHub Repositories for Data Science

Analytics Vidhya

Introduction Data science is a collaborative scientific field of computing that has grown many folds in recent years and has become the powerhouse behind the business decisions made by organizations in today’s time, be it the FAANG’s or early-stage startups. As the field has grown, so have the number of individuals pursuing this domain and […].

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Spiral graph to show Covid-19 cases

FlowingData

This spiralized chart by Gus Wezerek and Sara Chodosh for NYT Opinion has sparked discussions on what it means to communicate data. A lot of people don’t like it. I’m gathering my thoughts, but I think it’s fine for two main reasons: (1) it’s a lead-in to an opinion piece and (2) it’s not trying to replace the straight-up linear views that we’ve grown uncomfortably familiar with over two-plus years.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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The State of Web3 Marketing for Data-Driven Businesses

Smart Data Collective

More businesses are becoming reliant on big data than ever these days. Big data has been especially important for implementing modern marketing strategies. The marketing analytics market is projected to be worth $5.3 billion by 2026 as more marketers discover the benefits of big data technology. We have talked about the merits of data analytics for social media marketing and other forms of Web 2.0 marketing in the past.

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Learn Deep Learning by Building 15 Neural Network Projects in 2022

KDnuggets

Here are 15 neural network projects you can take on in 2022 to build your skills, your know-how, and your portfolio.

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Machine Learning Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents 1. Introduction 2. Types of Machine Learning Algorithms 3. Simple Linear Regression 4. Multilinear Regression 5. Logistic Regression 6. Decision Tree 7. SVM 8. KNN 9. K Means Clustering Introduction We all know how Artificial Intelligence is leading nowadays. Machine Learning […].

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Drop rain anywhere in the world and see where it ends up

FlowingData

One of my favorites of the year, Sam Learner’s River Runner shows you a terrain map that lets you place a drop of rain anywhere in the contiguous United States. You’re then taken on a river tour that shows where the drop ends up. Learner just expanded the project to let you drop water anywhere in the world. Tags: rain , river , Sam Learner , water.

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How to Modernize Manufacturing Without Losing Control

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

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The Fascinating Role of AI in the Evolution of Computer-Aided Designs

Smart Data Collective

Introduction. It is no secret that businesses that are looking to maximize profit in the near future are looking at the role AI can play to unlock potential profits. For businesses in industries that rely on Computer-Aided Design (CAD) the question can be asked, how is AI transforming their industry or supplementing current technology to help boost profit margins?

AI 138
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Why are More Developers Using Python for Their Machine Learning Projects?

KDnuggets

To support the creation of new and exciting ML and artificial intelligence (AI) applications, developers need a robust programming language. That's where the Python programming language comes in.

Python 400
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Google Cloud Platform with ML Pipeline: A Step-to-Step Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Machine Learning Pipeline Data Preprocessing Flow of pipeline 1. Creating the Project in Google Cloud 2. Loading data into Cloud Storage 3. Loading Data Into Big Query Training the model Evaluating the Model Testing the model Summary Shutting down the […].

ML 380
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2021 in Review: What Just Happened in the World of Artificial Intelligence?

Applied Data Science

Infectious research ideas, game-changing applications and four awkward moments… Sipping a warm cup of tea and zoning out to candy-coated thoughts? Hiding your 2021 resolution list under a glass of champagne? Trying to make a summary of what happened in the world of AI out of a long and vague chain of events? You’re not alone! To write this post we shook the internet upside down for industry news and research breakthroughs and settled on the following 5 themes, to wrap up 2021 in a neat bow: ?

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

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.

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Different Software Testing Strategies When Creating AI Applications

Smart Data Collective

Artificial intelligence has become a lot more important for many industries. There are a lot of companies that use AI technology to streamline certain functions, bolster productivity, fight cybersecurity threats and forecast trends. The market for AI technology is going to continue to grow as more companies discover the benefits it provides. In November, Garter published a study that found companies around the world will spend $62 billion on AI technology.

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How I Tripled My Income With Data Science in 18 Months

KDnuggets

Over a year ago, I lost my job due to the COVID-19 pandemic. During this this, I taught myself data science and tripled my income.

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RFM and CLTV to Know Your Customers Better

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: […]. The post RFM and CLTV to Know Your Customers Better appeared first on Analytics Vidhya.

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Four decades of oceanic wave moments, as a surfing game

FlowingData

Surf is a data-based game by Andy Bergmann that lets you move across a thirty-seven-year time series from NOAA. The data forms the waves, and you’re a dog on a surf board jumping over sharks. It’s kind of like a stripped down version of Alto’s Adventure but with data. Fun. Tags: Andy Bergmann , NOAA.

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The 2nd Generation of Innovation Management: A Survival Guide

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?

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The Top AI-Based Web Design Trends For 2022

Smart Data Collective

There is no denying the fact that artificial intelligence has become important in the field of web design. A growing number of web developers are using data analytics, AI and other big data tools to make the most out of their strategy. In fact, e-commerce and SaaS platforms are part of the reason that the market for AI is projected to be worth $126 billion by 2025.

AI 133
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Hands-on Reinforcement Learning Course Part 3: SARSA

KDnuggets

This is part 3 of my hands-on course on reinforcement learning, which takes you from zero to HERO. Today we will learn about SARSA, a powerful RL algorithm.

Algorithm 398
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Data Warehouses, Data Marts and Data Lakes

Analytics Vidhya

Introduction All data mining repositories have a similar purpose: to onboard data for reporting intents, analysis purposes, and delivering insights. By their definition, the types of data it stores and how it can be accessible to users differ. This article will discuss some of the features and applications of data warehouses, data marts, and data […].

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Scale of black holes

FlowingData

I’m not sure there’s any way to really understand the scale of the largest black holes in the universe, but Kurzgesagt gives it a good try. Tags: black hole , Kurzgesagt , scale , space.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Encryption Importance in the Age of Data Breaches

Smart Data Collective

People keep receiving dismal news on internet security these days. In 2020, data breaches rose by almost 20% between January and September. Hence, users are increasingly aware of how vital data encryption is to protect their data. A significant development is making the web much safer in an encouraging sign. . When you visit most websites, you might notice a green lock just beside its address.

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Misconceptions About Semantic Segmentation Annotation

KDnuggets

Semantic segmentation is a computer vision problem that entails putting related elements of an image into the same class. Read on to discover more, including the difficulties associated with annotation.

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Global AI Leader Fractal Becomes Unicorn with US$ 360 Million Investment from TPG

Analytics Vidhya

Fractal, a global provider of artificial intelligence and advanced analytics solutions to Fortune 500® companies, today announced a huge US$ 360 million (~ INR 2700 crores) investment from TPG, a leading global alternative asset firm. The transaction is expected to close by the first quarter of 2022. What should you know about Fractal? Founded […].

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? Finding New Visualization Tools for a New Point of View – The Process 171

FlowingData

Welcome to issue #171 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week, while gently making my way out of the holidays, I’m thinking about finding new tools and mediums for the new year. Become a member for access to this — plus tutorials, courses, and guides.

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Apache Airflow® Best Practices: DAG Writing

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!