Sat.Mar 12, 2022 - Fri.Mar 18, 2022

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DogeCoin Prediction Using Time Series Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Kanchanara on Unsplash Table of Contents Introduction Gentle Overview What is Time Series Analysis? Types of analysis ARIMA Moving Average Exponential Smoothing Heard of DogeCoin? Implementation of Dogecoin price prediction Conclusion Introduction Machine learning will automate jobs that most people thought could […].

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Best Data Science Books for Beginners

KDnuggets

The best knowledge is still placed in the libraries; within books. In this article, discover some of the top recommended Data Science books catering to beginners.

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Artificial Intelligence Call Center: AI’s impact on the customer service

Dataconomy

The Artificial Intelligence Call Center era has begun. Call centers have long used cutting-edge technology, from call routing systems that sent consumers to the first available agents to interactive voice response (IVR) systems that millions of customers interact with today.

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Sunrise times with permanent Day Light Saving

FlowingData

Changing the clocks twice a year can be a hassle, so some people in the United States want to permanently keep Daylight Saving Time. However, that also means some areas in the country end up with late sunrise, which means going to work or school in the dark. For The Washington Post, Justin Grieser, Joe Fox, and Tim Meko mapped how sunrise times would change.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Background Removal in the Image using the Mediapipe Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making an application that will remove or replace the background of the image with another image. For that, we will be using the media pipe library for segmenting the person from the background and cv2 for performing […]. The post Background Removal in the Image using the Mediapipe Library appeared first on Analytics Vidhya.

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Feature Stores for Real-time AI & Machine Learning

KDnuggets

Real-time AI/ML is on the rise and feature stores are key to successfully deploying them. Read on to see how the choice of online store and the feature store architecture play important roles in determining its performance and cost.

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Your place in the world population

FlowingData

Population.io by World Data Lab asks your birthday, country of residence, and gender. It spits out tidbits comparing your age to the rest of the world population, such as how old you are compared to others and how many people you might share a birthday with. Fun. It also provides a few back-of-the-napkin calculations for life expectancy based on averages, with maybe a bit too much certainty for your expected date of death.

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Content Moderation using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Prelude People like being people. They don’t care what content they are producing. So there can be abusive, illegal, sensitive, and scam content too which is highly dangerous to society and can have an adverse effect. Thus platforms such as youtube, Meta, Twitter spend […].

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Top Posts Mar 7-13: Build a Machine Learning Web App in 5 Minutes

KDnuggets

Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 2; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 1.

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How crypto helps Ukraine heal its wounds and pave its way to the digital future

Dataconomy

The two critical steps taken in the most challenging times show how crypto helps Ukraine, brings support it needs during the invasion and turn into the digital country it dreams of. Two days ago, Ukraine launched a crypto donation site to collect crypto and fiat money to help with their.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data is Risky Business: Thinking the Unthinkable

The Data Administration Newsletter

This isn’t the column I was intending to write for TDAN.com. I had something else nearly ready that was expanding on the broad questions of ethics in information and data management I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].

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Introduction to DenseNets (Dense CNN)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Here we’re going to summarize a convolutional-network architecture called densely-connected-convolutional networks or DenseNet. So the problem that they’re trying to solve with the density of architecture is to increase the depth of the convolutional neural network. Source Wikipedia Here we first learn about what […].

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How to Generate Synthetic Tabular Dataset

KDnuggets

Check out this article on using CTGANs to create synthetic datasets for reducing privacy risks, training and testing machine learning models, and developing data-centric AI products.

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Announcing the winner of the Applied Data Hackathon

Dataconomy

From February 28 to March 7, 2022, the Applied Data Hackathon welcomed data scientists with entrepreneurial spirits from multiple backgrounds. Participants tackled three challenges or brought their own, intending to solve some of the most pressing real-world problems we face today. The satisfaction of coming up with original and inspiring.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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NameGrapher to explore past baby name trends

FlowingData

NameGrapher is an interactive chart that lets you explore historical trends for baby names in the United States. Search for a name, and the chart updates as you enter more letters. The chart is from Martin and Laura Wattenberg, and if it looks familiar to you, it’s because it’s an updated version of the now defunct NameVoyager they made in 2005.

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How to Read and Store Tables as Data Frames in Python!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Python is an excellent programming language to automate stuff. It has many libraries that can be used to create awesome reusable codes. One such library is python-Docx. The library can be used extensively for document processing like – 1. Adding heading 2. Reading […].

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From Google Colab to a Ploomber Pipeline: ML at Scale with GPUs

KDnuggets

In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.

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What nanomachines promise for the humanity

Dataconomy

Nanomachines, also known as molecular machines or nanites, are molecular robots not larger than a strand of human hair. They can be programmed to carry out tasks in biological systems. Biologists frequently use these molecular machines to perform DNA replication and ATP synthesis tasks. Nanorobotics is one of the most.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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5 Practical Applications of Big Data for Small Businesses

Smart Data Collective

Big data is a tool typically talked about in the context of the benefits it provides for larger organizations, and yet it is also within reach of small businesses as well. A wealth of tools and solutions that bring big data to up-and-coming companies are available, so let’s go over the most impactful and practical applications these can achieve. Delivery Route Planning for Teams Of Drivers.

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An Overview of Deep Belief Network (DBN) in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. A Deep Belief Network (DBN) is a sophisticated generative model that employs a deep architecture. In this article, we are going to learn all about it. After reading this article, you will have a better understanding of what a Deep Belief Network is, how […]. The post An Overview of Deep Belief Network (DBN) in Deep Learning appeared first on Analytics Vidhya.

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Top AI and Data Science Tools and Techniques for 2022 and Beyond

KDnuggets

How will AI and data science impact the world of business in the next decade? Find out what trends to look out for in 2022 and beyond at NVIDIA GTC.

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What is an automation engineer? Is it a promising career?

Dataconomy

An automation engineer’s day-to-day tasks include designing and implementing technological processes that automate various activities. Automation technology is currently being used in various business, IT, and development processes, which has prompted organizations to seek these professionals to create, test, and implement automation technologies.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Hackers Use AI to Create Terrifying Malware Targeting Sandboxes

Smart Data Collective

Did you know that 42% of businesses were affected by cyberattacks in 2020 ? That figure is going to rise as cybercriminals use AI to attack businesses more efficiently. Artificial intelligence technology has led to some tremendous advances that have changed the state of cybersecurity. Cybersecurity professionals are leveraging AI technology to fight hackers.

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Learn How to Build Face Detection System

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Till now we have covered different pre-trained models for the image-classification tasks and we have a fair understanding of object detection, and we looked at the different architectures that can be used for solving the object detection problems. [link] To summarize object detection involves […].

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Machine Learning Algorithms for Classification

KDnuggets

In this article, we will be going through the algorithms that can be used for classification tasks.

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? How to Make Cartograms in R

FlowingData

Maps are a good way to visualize spatial data, but to maintain geographic accuracy, there are often tradeoffs. For example, a choropleth map, which shades regions by a specified metric, maintains the same shape regardless of the data you color by. Larger regions always take up more space on the screen and smaller regions take up less space. Cartograms are a response to this challenge by sizing regions to match the data of interest, at the sacrifice of geographic accuracy.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Will Blockchain Be Resilient for Russians Using Cryptocurrencies?

Smart Data Collective

Blockchain technology has had a huge impact on the financial sector. Although many traditional financial institutions like Bank of America use blockchain , it is still mostly used for cryptocurrency transactions. The benefits of the blockchain network are soon going to be put to the test. There are indicators that Russia is going to start moving towards cryptocurrencies in response to recent sanctions.

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A Comprehensive Guide on Recommendation Engines and Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview 1. Introduction 2. What are recommendation engines? 3. Types of recommendation systems a. Content-Based filtering b. Collaborative filtering c. Hybrid filtering 4. Why content-based filtering is not used on a large scale? 5. Recommendation engine algorithms 6. How to solve recommender system problems?

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How to Engineer Date Features in Python

KDnuggets

This article discusses and demonstrates how to quickly engineer some common date features using Python.

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Data literacy is the key to better decisions, innovation, and data-driven organizations

Tableau

Wendy Turner-Williams. Chief Data Officer. Christine Zuniga. March 14, 2022 - 10:16pm. March 15, 2022. Organizations are constantly seeking ways to maintain market relevance and differentiate themselves from competitors, by investing in data as an asset. It’s critical for businesses to identify useful signals from the ever increasing volumes of data being generated to make decisions quickly.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.