Sat.Oct 22, 2022 - Fri.Oct 28, 2022

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Easy Guide To Data Preprocessing In Python

KDnuggets

Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.

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Non-Generalization and Generalization of Machine learning Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […]. The post Non-Generalization and Generalization of Machine learning Models appeared first on Analytics Vidhya.

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Best artificial intelligence tools to improve productivity in 2022

Dataconomy

Artificial intelligence tools are having an ever-increasing effect on our technology, often in unexpected ways. Many of the most contemporary AI technologies are open to anybody who wants to utilize them, with or without a computer science degree. We’ve produced a list of some of our current favorites that might.

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How To Keep Your Data Security Knowledge Up To Date?

Smart Data Collective

The fast-paced world of cybersecurity waits for none, and even seasoned professionals can find that years have passed them by if they take a short hiatus and stop staying up to date. Given the nature of this sector, it’s often compared with statecraft, with the constantly evolving threat matrix making it essential to stay on top of developments, and regularly upskill in order to better respond to challenges.

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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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Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle

KDnuggets

As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.

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Analysis of Restaurants in the United States

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction After working for a long time in the office, suddenly, we felt a storm brewing in our stomach, saying Hey! I need food. Then you just come out on the road and start searching for a nearby restaurant – it can be […]. The post Analysis of Restaurants in the United States appeared first on Analytics Vidhya.

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Two Ways AI-Driven Smart Technologies Are Helping the Libraries

Smart Data Collective

Artificial intelligence has helped many commercial businesses improve their operations. However, many public entities are also leveraging AI technology to serve the public more efficiently. Even many libraries have started taking advantage of AI technology. We talked about the opportunities to use big data for library marketing , but there are other advantages as well.

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How to Make Python Code Run Incredibly Fast

KDnuggets

In this article, I have explained some tips and tricks to optimize and speed up Python code.

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MLOps In Educational Data Mining

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Similar to other fields like healthcare, education is an area that is being penetrated by technology and data science. Many fields have evolved, such as Educational Data Mining EDM, which is a field dedicated to finding actionable insights from educational settings. It […].

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Tiktok data privacy settlement payout starts

Dataconomy

Tiktok data privacy settlement payout started! Did you get the “Your TikTok data privacy settlement prepaid MasterCard is ready” message? Users of TikTok in the US may be qualified to receive a portion of the $92 million settlement reached in a class action lawsuit involving TikTok data privacy. What is.

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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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Luxury surveillance

FlowingData

Chris Gilliard, for The Atlantic, describes self-surveillance that people pay for in exchange for small conveniences at the expense of privacy : The conveniences promised by Amazon’s suite of products may seem divorced from this context: I am here to tell you that they’re not. These “smart” devices all fall under the umbrella of what the digital-studies scholar David Golumbia and I call “ luxury surveillance “—that is, surveillance that people pay for and whos

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Ensemble Learning with Examples

KDnuggets

Learn various algorithms to improve the robustness and performance of machine learning applications. Furthermore, it will help you build a more generalized and stable model.

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Making Centroid Tracker and Counter System in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will learn how to make an object tracker using OpenCV in Python and using, and we will build an object tracker and make a counter system. A tracker keeps track of moving objects in the frame; In OpenCV, […]. The post Making Centroid Tracker and Counter System in Python appeared first on Analytics Vidhya.

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Optus Data Breach compensation can be worth billions of dollars

Dataconomy

“How to get Optus Data Breach compensation?” is starting to ask, especially after the billions’ worth of Optus Data Breach class action rumors. Is it possible? According to experts, the answer is yes. Any class action lawsuit against Optus over the data breach that put users at risk of identity.

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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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Feelings at Work

FlowingData

Are people happy at work? The American Time Use Survey asks people to score their happiness from 0 to 6, where 0 is not happy at all and 6 is very happy. Here’s how people answered. Read More.

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The Current State of Data Science Careers

KDnuggets

If you’re someone in data science or aiming to get into a data science career, this article will give you a comprehensive analysis of the state of the field.

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Data Lake or Data Warehouse- Which is Better?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is defined as information that has been organized in a meaningful way. We can use it to represent facts, figures, and other information that we can use to make decisions. Data collection is critical for businesses to make informed decisions, understand customers’ […].

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Meta unveils its new speech-to-speech translation AI

Dataconomy

A speech-to-speech translation AI that can instantly translate spoken conversations between two languages was developed by Facebook’s parent company, Meta. In a recent video, Meta demonstrated how the program translates between Hokkien and other languages using artificial intelligence (AI). The unusual thing about the Meta project is that the development.

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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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High-Fidelity, Persistent Data Storage and Replay

Dataversity

In arguably the most iconic scene from Bladerunner, replicant Roy Batty describes his personal memories as “lost in time, like tears in rain.” Until immortality is invented, we’ll have to settle for solving the same problem in data enablement. Actionable data lost to time. How are we still talking about this? With incredible advances in data […].

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KDnuggets News, October 26: A Data Science Portfolio That Will Land You The Job in 2022 • Is OLAP Dead?

KDnuggets

A Data Science Portfolio That Will Land You The Job in 2022 • Is OLAP Dead? • 10 Essential SQL Commands for Data Science • Why TinyML Cases Are Becoming More Popular • Ensemble Learning with Examples.

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Machine Learning Models Comparative Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The phrase “machine learning” was invented by Arthur Samuel at IBM. Machine learning is a part of Artificial Intelligence. Machine learning is the process of learning from data and applying math to increase accuracy. There are four different types of machine learning.

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NFTs are now considered property according to the Singapore High Court ruling

Dataconomy

The Singapore High Court decided in its first written judgment on an NFT that non-fungible tokens can be considered property. The decision is in the matter of Janesh Rajkumar, who is trying to retrieve the BAYC No. 2162 NFT, which he used as collateral for a loan from “chefpierre.” Justice.

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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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Moving to Distributed Systems Can Ease the Path to Cloud Infrastructure

Dataversity

Companies plan to increase their spending on cloud infrastructure but may be slowing down on taking a “cloud-first” approach. These are two of the conclusions outlined in the Enterprise Strategy Group’s (ESG) “2022 Technology Spending Intentions Report.” According to ESG’s report, the number of companies that said moving applications and infrastructure to the public cloud was […].

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Machine Learning on the Edge

KDnuggets

Edge ML involves putting ML models on consumer devices where they can independently run inferences without an internet connection, in real-time, and at no cost.

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Using a Blockchain Explorer with Polygonscan

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A blockchain is a digital ledger where every transaction executed is recorded and stored in a decentralized manner. One of the key features of blockchain technology is that it is transparent. You may wonder how this is beneficial to you. Ever heard […]. The post Using a Blockchain Explorer with Polygonscan appeared first on Analytics Vidhya.

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Shutterstock will sell AI-generated images

Dataconomy

Shutterstock will begin selling photos generated by artificial intelligence alongside those created by humans. OpenAI’s DALL-E 2 software will create the AI pictures Both companies say that human artists whose work inspired the AI will be compensated. Shutterstock, a photo licensing provider, will begin selling photos generated by AI alongside.

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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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Educational statistics illustrations

FlowingData

Allison Horst often illustrates data science concepts and tools with anthropomorphized shapes and animals. She recently cataloged her illustrations , which are open source and entertaining if you are a nerd. Tags: Allison Horst , humor , illustration , teaching.

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Graphs: The natural way to understand data

KDnuggets

Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. Filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs.

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Calibration of Machine Learning Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction source: iPhone Weather App A screen image related to a weather forecast must be a familiar picture to most of us. The AI Model predicting the expected weather predicts a 40% chance of rain today, a 50% chance of Wednesday, and a […]. The post Calibration of Machine Learning Models appeared first on Analytics Vidhya.

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BI dashboards: Error-free operations with organized data

Dataconomy

Business intelligence dashboards are effective management tools essential for internal and external decision-making in a firm. Company users can obtain a unified view of pertinent KPIs and trends for operational decision-making and long-term business planning using business intelligence dashboards, also referred to as data dashboards. What is a business intelligence.

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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.