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

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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 394
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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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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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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 […].

More Trending

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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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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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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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.

Analytics 130
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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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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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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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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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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 127
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The 5 Best Places To Host Your Data Science Portfolio

KDnuggets

How can you showcase your data scientist skills and abilities? The answer to this question is online platforms where you can publish your portfolio and seize opportunities.

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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.

AI 185
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Empty school buses as a representation of student lives lost

FlowingData

The NRA Children’s Museum from Change the Ref is a mile-long convoy of empty school buses in memory of lives lost to guns : Since 2020, firearms have overtaken car accidents to become the leading cause of death in children, taking over 4368 lives. With the advent of this horrific moment, we’ve built a mobile museum made of 52 empty school buses representing 4368 victims.

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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 394
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20 Most Asked Interview Questions of Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Python is a general-purpose and interpreted programming language. It can be used to create a Web application and is widely used in Artificial Intelligence. Due to the implementation of machine learning and deep learning models, it has become the language of demand […].

Python 369
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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.

AI 185
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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DataRobot Celebrates a Decade of Innovation with Industry Recognition

DataRobot Blog

Last month at DataRobot AIX 22 , we celebrated an exciting milestone at DataRobot, our ten-year anniversary. This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world.

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How Does Logistic Regression Work?

KDnuggets

Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables.

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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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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.

AI 171
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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Inside the Release: Tableau 2022.2 for Developers

Tableau

Kevin Glover. Director, Product Management, Tableau. Bronwen Boyd. July 12, 2022 - 8:54pm. July 13, 2022. The Tableau 2022.2 release includes features that give developers an easier embedded analytics experience and more control over authentication. Let’s dive into the capabilities that help you empower users with self-service analytics in your applications.

Tableau 101
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MLOps: The Key To Pushing AI Into The Mainstream

KDnuggets

In this blog, we will aim at discussing the reasons that make MLOps an essential aspect of pushing AI mainstream. Besides, we will highlight the capabilities of MLOps as a catalyst for AI implementation.

AI 299
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Using Artificial Intelligence in Diesel Generator

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The use of artificial intelligence (AI) in diesel generator sets is becoming more common as the technology continues to develop and become more affordable. A DG is a type of internal combustion engine that uses diesel fuel to generate electrical power. Major […]. The post Using Artificial Intelligence in Diesel Generator appeared first on Analytics Vidhya.

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NLLB-200: Meta AI provides a 44% improvement in translation quality

Dataconomy

The new Meta AI model called NLLB-200 can translate 200 languages and improves quality by 44 percent on average, and has demonstrated tremendous potential. The most widely used languages have been covered by translation applications for a while. Even if they don’t provide an exact translation, it’s typically close enough.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.