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

article thumbnail

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 […].

article thumbnail

How to Engineer Date Features in Python

KDnuggets

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

Python 400
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

article thumbnail

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.

145
145
article thumbnail

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.

article thumbnail

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 […].

Python 397
article thumbnail

Machine Learning Algorithms for Classification

KDnuggets

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

Algorithm 400

More Trending

article thumbnail

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.

Big Data 134
article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

195
195
article thumbnail

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.

article thumbnail

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.

132
132
article thumbnail

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 […].

article thumbnail

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.

article thumbnail

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.

article thumbnail

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

article thumbnail

How Big Data is Changing the World of Investing

Smart Data Collective

Last year, in an article that talked about the impact big data has on finance, we said that location data sets can make investing easier. Companies spent nearly $11 billion on financial analytics in 2020. A large portion of this market is driven by investment companies and mutual funds. This is because accurate data about consumer movement can help you know about consumer trends and corresponding market movements.

Big Data 129
article thumbnail

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 […].

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

130
130
article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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?

article thumbnail

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.

AI 128
article thumbnail

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?

article thumbnail

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.

article thumbnail

? 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.

128
128
article thumbnail

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

article thumbnail

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 […].

article thumbnail

Implementing Audio Classification Project Using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Hello all, welcome to a wonderful article where we will be exploring learnings for audio and sound classification using Machine learning and deep learning. It is amazing and interesting to know-how machines are capable to understand human language, and responding in the same human […].

article thumbnail

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.

ML 357
article thumbnail

Mining City Uses Blockchain to Offer Reliable New Bitcoin Wallet

Smart Data Collective

Have you ever heard of blockchain? It is the ledger and authentication system behind the bitcoin network. Blockchain is the reason that bitcoin become a sustainable digital coin, unlike many of the other digital coins that came before it. Many companies have used the blockchain system to create tertiary services, such as bitcoin wallets. Bitcoin wallets are essentially blockchain wallets that are capable of holding digital coins.

124
124
article thumbnail

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!