Sat.Jul 09, 2022 - Fri.Jul 15, 2022

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Free Artificial Intelligence And Deep Learning Crash Course

KDnuggets

Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.

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The Complete Guide to Web 3.0 and How it’s Shaping the Future?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The third generation of the world wide web is called Web 3.0 and it first appeared in Tim Berners-Lee’s paper, “The Semantic Web.” Web 3.0 has been described as an evolution of the current web, which will be characterized by seamless integration […].

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Artificial intelligence jobs are in high demand: Here are the career paths

Dataconomy

Artificial intelligence careers are in high demand. Artificial intelligence (AI) has created new opportunities during the past few years. It is creating waves throughout industries, making things that were previously inconceivable, like space exploration and melanoma diagnosis, possible.

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A New Attack Can Unmask Anonymous Users on Any Major Browser

Hacker News

Researchers have found a way to use the web's basic functions to identify who visits a site—without the user detecting the hack.

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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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Machine Learning Is Not Like Your Brain Part 5: Biological Neurons Can’t Do Summation of Inputs

KDnuggets

See why biological neurons can’t do the most fundamental process of the artificial perceptron, the summation of inputs.

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Analyzing Hacker’s Dataset using KMeans MLIB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article will be a cakewalk through a consulting project where we will be working with a large technology firm to predict whether certain types of hackers were involved in hacking their servers or not! To solve this real-world problem, we will […]. The post Analyzing Hacker’s Dataset using KMeans MLIB appeared first on Analytics Vidhya.

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HR Analytics is the Basis of New Workforce Management Software

Smart Data Collective

Data analytics technology has helped many employers boost productivity and increase employee morale. Markets and Markets projects that companies around the world will spend over $3.6 billion on HR analytics by 2024. The sudden interest in data analytics in the human resource management profession are obvious. McKinsey has an entire study published on the merits of using analytics to improve the dynamics of the workplace.

Analytics 145
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Machine Learning Algorithms Explained in Less Than 1 Minute Each

KDnuggets

Learn about some of the most well known machine learning algorithms in less than a minute each.

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Recommending Similar Images using Image Embedding

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a simple recommendation system. For a given product, we will try to suggest or recommend similar-looking products. E-commerce websites often use such recommender systems. It works on a simple logic – if a consumer shows interest […].

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Will AI replace designers?

Dataconomy

Artificial intelligence design is the new hype. To fully automate their processes, many IT companies are moving toward artificial intelligence today. They do this because they are aware that technologies that can significantly reduce the amount of work required of humans will rule the future. The design sector is not.

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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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5 Ways CMOs Must Exploit the Benefits of Data Analytics

Smart Data Collective

We have talked about the benefits of using big data in the marketing profession in the past. The top marketing strategists of every organization need to understand its benefits and use it effectively. CMOs Are Investing in the Benefits of Big Data. The market for marketing analytics technology is growing nearly 14% a year. The demand for data analytics technology in the marketing will continue to grow as more executives recognize its benefits.

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Why SQL Will Remain the Data Scientist’s Best Friend

KDnuggets

Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.

SQL 399
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Handwritten Digit Recognition using TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see how to build an application that can recognize digits that are written by hand. The application will recognize our handwriting. Nowadays, technology has increased tremendously, and the computer can recognize anything. Here there are two categories […].

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Bayes-TrEx tool aims to provide better machine behavior insights

Dataconomy

It is difficult to explain, analyze, and comprehend how the human mind works. While doing the same for machine behavior is a very different matter. Humans still lack a comprehensive understanding of their capabilities and behaviors as artificial intelligence (AI) models are used more frequently in complex situations, such as.

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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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Where there is more livestock than people in the United States

FlowingData

The United States Department of Agriculture provides annual inventory data on livestock, crops, and various products. The tool is very ad hoc government-looking, but it seems to work well enough. Erin Davis made some fun maps that use the data at the county level to compare livestock populations to people populations. Davis compared animals individually, but the multivariate one that compares cows, chickens, and pigs is my favorite.

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Parallel Processing Large File in Python

KDnuggets

Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.

Python 399
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An Accurate Approach to Data Imputation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential. Unfortunately, a large part of the data collected is not readily ideal for training machine learning models, this increases […].

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AI Booster: Google and Vodafone join forces to launch a new platform

Dataconomy

A new platform launched by Vodafone and Google called AI Booster aims to handle thousands of ML models a day across 18+ countries. AI Booster is the result of 18 months of development and is built upon Google’s Vertex AI and integrates with Vodafone’s Neuron platform. When Vodafone began work.

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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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Blockchain Developments Lead to New El-Salvador Bitcoin Initiatives

Smart Data Collective

The blockchain has been important to the inception of bitcoin. Despite the recent fall in the price of bitcoin, a growing number of people are investing in it as it becomes a more viable currency. This wouldn’t have been possible without improvements in the blockchain. Breakthroughs in the blockchain have led to changes in the state of bitcoin in various parts of the world.

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Linear Algebra for Data Science

KDnuggets

In this article, we discuss the importance of linear algebra in data science and machine learning.

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Introduction to K-Means Clustering using MLIB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction K-means clustering is one of the algorithms which unsupervised machine learning supports hence before moving forward with K-means let’s have background knowledge of the unsupervised learning method. In this method, we don’t have predefined labels unlike the supervised method hence we don’t […].

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EQ is on the decline: Businesses utilizing Voice AI can reverse the situation

Dataconomy

Globally, emotional intelligence (EQ) has declined during the past 50 years but Voice AI provides some answers. In other words, the rise of social media, always-on computers, and an experience that disregards emotion have all had a detrimental influence on our EQ and IQ in the contemporary technological age. What.

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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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Data Visualization Humble Bundle

FlowingData

There’s a data visualization book bundle on Humble Bundle this month. Get twenty-two books for eighteen dollars — with a portion of the proceeds going to Girls Who Code. Seems like a pretty good deal. Tags: books , Bundle.

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Why Use k-fold Cross Validation?

KDnuggets

Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.

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Airflow for Orchestrating REST API Applications

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Apache Airflow “Apache Airflow is the most widely-adopted, open-source workflow management platform for data engineering pipelines. It started at Airbnb in October 2014 as a solution to manage the company’s increasingly complex workflows. Most organizations today with complex data pipelines to […].

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This AI can help doctors ask clinical questions

Dataconomy

The AI created by the researchers will make it easier for doctors ask clinical questions to discover data in a patient’s health record. Electronic health records are frequently consulted by doctors for data that aids in treatment choices, however the burdensome nature of these records makes this process difficult. According.

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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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? Develop Your Judgement

FlowingData

Welcome to issue #197 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 trusting my intuition over following the recipe for better results. Become a member for access to this — plus tutorials, courses, and guides.

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Data Preparation and Raw Data in Machine Learning

KDnuggets

In this article, I will describe the data preparation techniques for machine learning.

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6 AI-powered Applications for Providing In-Vehicle Comfort

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to AI-powered Applications Many a time while driving, we need to adjust things like in-vehicle seat relaxation function, interior lighting, music, air-conditioning, fragrances, etc, manually while attempting to keep our eyes on the road. However, it is very inconvenient and sometimes it can […].

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IBM acquires Databand to boost data observability

Dataconomy

On Wednesday, IBM added the data observability company Databand to its data fabric platform. The deal’s financial details weren’t made public. In order to develop its data observability technology, Tel Aviv, Israel-based Databand, founded in 2018, had raised $14.5 million in funding. This technology gives organizations visibility and monitoring for.

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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!