Sat.Jan 08, 2022 - Fri.Jan 14, 2022

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Query Your Pandas DataFrames with SQL

KDnuggets

Learn how to query your Pandas DataFrames using the standard SQL SELECT statement, seamlessly from within your Python code.

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NLP Tutorials Part -I from Basics to Advance

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. […]. The post NLP Tutorials Part -I from Basics to Advance appeared first on Analytics Vidhya.

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The next generation of energy and environment startups using data and AI to save the planet

Dataconomy

Energy and the environment were significant threads covered at Web Summit and garner additional importance when considering the travel and accommodation footprint created by almost 44,000 attendees. It calls for greater awareness of the CO2 produced by the event and its participants. While Web Summit took place on the same.

AI 254
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5 Ways to Use AI to Vet a Content Site Before Purchasing It

Smart Data Collective

Savvy business owners need to appreciate the benefits of using AI technology to make the most out of their business models. Entrepreneurs considering purchasing existing businesses have discovered that AI technology can be highly useful. You can use AI technology when you are considering purchasing a new website. You will be able to tell whether the site is likely to be profitable and provide enough of a sustainable revenue stream to make up for the investment.

AI 145
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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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Top Five SQL Window Functions You Should Know For Data Science Interviews

KDnuggets

Focusing on the important concepts for data scientists.

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A Comprehensive Guide on Human Pose Estimation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Human Pose estimation is a computer vision task that represents the orientation of a person in a graphical format. This technique is widely applied to predict a person’s body parts or joint position. It is one of the most exciting areas of research in computer […]. The post A Comprehensive Guide on Human Pose Estimation appeared first on Analytics Vidhya.

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AI-Powered Cyberattacks: Hackers Are Weaponizing Artificial Intelligence

Smart Data Collective

There is no denying the fact that AI is transforming the cybersecurity industry. A double-edged sword, artificial intelligence can be employed both as a security solution and a weapon by hackers. As AI enters the mainstream, there is much misinformation and confusion regarding its capabilities and potential threats. Dystopian scenarios of all-knowing machines taking over the world and destroying humanity abound in popular culture.

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A (Much) Better Approach to Evaluate Your Machine Learning Model

KDnuggets

Using one or two performance metrics seems sufficient to claim that your ML model is good — chances are that it’s not.

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Analyzing the Income Level of US Census Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be predicting the income of US people based on the US census data and later we will be concluding whether that individual American have earned more or less than 50000 dollars a year. If you want to know […]. The post Analyzing the Income Level of US Census Data appeared first on Analytics Vidhya.

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A Quick and Easy Way to Make Spiral Charts in R

FlowingData

Many people were dismayed by a spiral chart that served as a header image for a New York Times Opinion piece. I thought it was fine. Others had other opinions. Disregarding whether or not it was the “best” way to visualize the data, clearly the more important question is how to make such a chart. Here’s how to make it in R. Read More.

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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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3 Huge Ways Big Data Analytics Benefits Businesses

Smart Data Collective

Savvy business owners recognize the importance of investing in big data technology. Companies that utilize big data strategically end up having a strong advantage against their competitors. However, despite the benefits big data provides, companies that are using it are in the minority. Only 30% of companies have a well-defined data strategy. An even smaller number of companies have a data strategy that is supported by the company leadership.

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Fake It Till You Make It: Generating Realistic Synthetic Customer Datasets

KDnuggets

Finding the data you need is hard. So why not fake it?

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Brief Introduction to Tensorflow for Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Reference 1 Introduction Tensorflow is a popular open-source machine learning framework developed by Google. It is primarily used by machine learning practitioners in research and industry for the training and inference of deep neural networks. Instead of building machine learning and deep learning […].

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What’s ahead for AI, VR, NFTs, and more?

O'Reilly Media

Every year starts with a round of predictions for the new year, most of which end up being wrong. But why fight against tradition? Here are my predictions for 2022. The safest predictions are all around AI. We’ll see more “AI as a service” (AIaaS) products. This trend started with the gigantic language model GPT-3. It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API.

AI 144
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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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All-time temperature records broken in 2021

FlowingData

Using data from NOAA , Krishna Karra and Tim Wallace for The New York Times mapped all-time temperature records set in 2021. Red indicates an all-time high, and blue indicates an all-time low. Circle size represents the degree difference from the previous record. Tags: climate change , New York Times , temperature.

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A Deep Look Into 13 Data Scientist Roles and Their Responsibilities

KDnuggets

Any modern company of any significant size around the world has a data science department, and a data engineer at one company might have the same responsibilities as a marketing scientist at another company. Data science jobs are not well-labeled, so make sure to cast a wide net.

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Walmart’s Sales Analysis through Data Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be dealing with Walmart’s sales dataset and will follow all the data analysis steps on the same and as a result, will try to get some business-related insights from the operations we will be performing on this dataset. […]. The post Walmart’s Sales Analysis through Data Visualization appeared first on Analytics Vidhya.

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Problems Solved with AI And Machine Learning in Customer Service

Smart Data Collective

The marketing profession has been fundamentally changed due to advances in artificial intelligence and big data. The market size for AI in marketing is expected to grow ove r 31% a year through 2028. It is growing at an even faster pace as more companies discover new benefits. Unfortunately, there are a number of AI-driven marketing mistakes companies continue to make.

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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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New shopping search patterns from the pandemic

FlowingData

Schema Design, Google Trends, and Axios collaborated on The New Normal , looking at how searches for certain products has changed since the pandemic started. Keywords were taken from Google’s product taxonomy , and search volumes are from Google Shopping. From there, the keywords, compared to search from 2019, were categorized as a new normal, unusual, or about the same as before.

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The Story of the Women in Data Science (WiDS) Datathon

KDnuggets

The author shares their experience of almost winning the competition and the things they have learned from the failures. Learn more about the WiDS Datathon and tips on winning the next challenge.

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Quick Web Scraping using Gazpacho

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Web Scraping is considered a fundamental process of getting data from the web. It automates the process of extracting the data from a web page, which is quicker and hassle-free than the conventional copy-pasting of the data. Thanks to the programming language methods, structuring […].

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What Are the Benefits of Using Cloud-Based Workplace Apps?

Smart Data Collective

Cloud technology has been an instrumental driving force in many industries. Companies around the world are expected to spend over $947 billion on cloud technology by 2026. There are many ways that the cloud is changing our daily lives and the business models of entire industries. One of the biggest changes has to do with employee communication. A new generation of cloud-based workplace communication apps are leading to some drastic changes in many industries.

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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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Play miniature golf, learn about congressional redistricting

FlowingData

Congressional redistricting and gerrymandering are important topics, because they can directly change election results. However, gerrymandering is called gerrymandering, so it’s too easy to get lost in the details. Well, fret no more. Dylan Moriarty and Joe Fox for The Washington Post made a miniature golf game to teach what’s currently at stake.

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Running Redis on Google Colab

KDnuggets

Open source Redis is being increasingly used in Machine Learning, but running it on Colab is different compared to on your local machine or with Docker. Read on for a 2-step tutorial on how to do it.

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HQL COMMANDS FOR DATA ANALYTICS

Analytics Vidhya

HQL or Hive Query Language is a simple yet powerful SQL like querying language which provides the users with the ability to perform data analytics on big datasets. Owing to its syntax similarity to SQL, HQL has been widely adopted among data engineers and can be learned quickly by people new to the world of […]. The post HQL COMMANDS FOR DATA ANALYTICS appeared first on Analytics Vidhya.

Analytics 352
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Ways Data Analytics Helps Business Owners Resolve Financial Issues

Smart Data Collective

Data analytics has arguably become the biggest gamechanger in the field of finance. Many large financial institutions are starting to appreciate the many advantages that big data technology has brought. Markets and Markets estimates that the financial analytics market will be worth $11.4 billion in the next two years. Companies in the financial sector aren’t the only ones discovering the benefits of using data analytics for financial management.

Analytics 131
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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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Congressmen who enslaved people

FlowingData

Using old Census records and documents, Julie Zauzmer Weil, Adrian Blanco and Leo Dominguez for The Washington Post tallied the congressmen who enslaved people over time. There were more than 1,700 enslavers over Congress’s first 130 years. The grid (or tile) map above shows the timeline for each state, showing the percentage of officials who were enslavers from 1789 to 1923.

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Interpretable Neural Networks with PyTorch

KDnuggets

Learn how to build feedforward neural networks that are interpretable by design using PyTorch.

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Understanding Confidence Intervals with Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Table of contents Introduction Confidence Intervals with Z-statistic Interpreting Confidence Intervals Assumptions for CI using z-statistic Confidence intervals with t-statistic Assumptions for CI using t-statistic Making a t-interval with paired data z-value vs t-value: when to use what?

Python 349
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5 Ways Your Retail Banks Can Use Data to Better Serve Digital Natives

Smart Data Collective

There is no disputing the fact that data technology has changed the future of the financial industry. One of the sectors most impacted by big data has been banking. Big data is even more important to the banking sector as more of their services become digitalized. The market for analytics technology in the banking sector is projected to be worth over $5.4 billion by 2026.

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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!