Sat.Mar 05, 2022 - Fri.Mar 11, 2022

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Top Posts Feb 28 – Mar 6: The Complete Collection of Data Science Cheat Sheets – Part 2

KDnuggets

Also: Calculus: The hidden building block of machine learning; Decision Tree Algorithm, Explained; Telling a Great Data Story: A Visualization Decision Tree; The Complete Collection of Data Science Cheat Sheets – Part 1.

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Fake News Classification Using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Here’s a quick puzzle for you. I’ll give you two titles, and you’ll have to tell me which is fake. Ready? Let’s get started: “Adani Group is planning to explore investment in the EV sector.” “Wipro is planning to buy an EV-based startup.” […].

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SMEs can benefit from Big Data just like an enterprise

Dataconomy

Although Big Data is primarily thought of as a technology used by large companies, many benefits can be derived from big data technologies by small and medium-sized companies (SMEs). Big Data benefits for SMEs at a glance One of the primary benefits of Big Data is the ability to gain.

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Gamification in AI?—?How Learning is Just a Game

Applied Data Science

Gamification in AI — How Learning is Just a Game A walkthrough from Minsky’s Society of Mind to today’s renaissance of multi-agent AI systems. ⁍ Preface In 1986, Marvin Minsky , a pioneering computer scientist who greatly influenced the dawn of AI research, wrote a book that was to remain an obscure account of his theory of intelligence for decades to come.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Boost Your AI and ML Skills for Free at NVIDIA Conference

KDnuggets

Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.

ML 369
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Learn Basics of Natural Language Processing (NLP) using Gensim: Part 1

Analytics Vidhya

Natural Language Processing, or NLP for short, is a branch of Artificial Intelligence that allows machines to comprehend, process, and manipulate human languages. The breakthrough in NLP bridged the gap between humans and machines, paving the way for leading-edge technologies such as Language Translator, Voice Assistants such as Siri, Customer Service Chatbots, and many more. […].

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Wordle analysis through the lens of 15m tweets

FlowingData

I don’t know if you’ve heard of it, but there’s this game called Wordle. You get a certain number of guesses to figure out a five-letter word each day. Apparently a lot of people play it, so much so that Robert Lesser collected 15 million Wordle-related tweets since January. Then he analyzed the popularity and difficulty levels of all the daily words.

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8 Women in AI Who Are Striving to Humanize the World

KDnuggets

Some exceptional female researchers and engineers are working on projects to make the world a better place with the help of AI, data science, and machine learning.

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End-to-End Hotel Booking Cancellation Machine Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning (ML) is reaching its own and growing recognition that ML can play a crucial role in critical applications, it includes data mining, natural language processing, image recognition. ML provides all possible keys in all these fields and more, and it set […].

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How technology changes Enterprise Risk Management?

Dataconomy

Enterprise Risk Management (ERM) refers to businesses’ techniques and procedures to manage hazards and seize opportunities to achieve their goals. ERM is an architecture for risk management that comprises five main elements: Continuity of operations, prevention and detection, response, mitigation, and recovery. It follows a structure based on identifying key.

Big Data 209
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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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Oldest, Youngest, and Middle Children, in Differently Sized U.S. Households

FlowingData

When talking to someone new, the conversation often leads to your family when you were growing up. Do you have siblings? Older than you? Younger? I thought I’d try answering the questions for everyone in the United States. The chart below shows the distribution of kids younger than 18 by birth order and number of kids in the household. Read More.

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The Significance of Data Quality in Making a Successful Machine Learning Model

KDnuggets

Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.

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Visualize Deep Learning Models using Visualkeras

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Deep learning, a subset of machine learning, is undoubtedly gaining popularity due to big data. Startups and commercial organizations alike are competing to use their valuable data for business growth and customer satisfaction with the help of deep learning […].

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A look into parallel computing in data mining and analysis

Dataconomy

Parallel Computing, also referred to as Parallel Processing, is a computing architecture that uses several processors to handle separate parts of an overall task. The architecture divides complex problems into small computations and distributes the workload between multiple processors working simultaneously. Parallel computing principles are employed in most supercomputers to.

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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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Side Hustle Ideas for Experienced Data Scientists in 2022

Smart Data Collective

Are you a data scientist ? You might be missing out on some opportunities to make money from it. Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. If you’re feeling strapped for cash and feel like you can earn more money with your knowledge and skills, then starting a side hustle in 2022 is an excellent idea.

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Build a Machine Learning Web App in 5 Minutes

KDnuggets

In this article, you will learn to export your models and use them outside a Jupyter Notebook environment. You will build a simple web application that is able to feed user input into a machine learning model, and display an output prediction to the user.

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Top AI and ML Conferences in 2022

Analytics Vidhya

Introduction Getting to meet and interact with people from your domain is always a great feeling. This is why conferences that revolve around Artificial Intelligence (AI) are great for developers, analysts and students who wish to work with AI (build or incorporate). Participating in international conferences is one of the best ways to stay updated […].

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Scale of Ukrainian cities

FlowingData

When you look inside the cities around the world, you will often find familiarity to where you live. For The Washington Post, Bonnie Berkowitz, Dylan Moriarty and Hannah Dormido look for the familiarity in the attacked cities in Ukraine. With side-by-side comparisons to U.S. cities, Ukraine feels less distant. See also Scale-a-Tron , which lets you compare the scale of anywhere in the world against anywhere else in the world.

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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 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. One of the most important is in the field of marketing. Do you know what motivates your customers?

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How a Level System can Help Forecast AI Costs

KDnuggets

To forecast costs for AI systems, it can be useful to talk about their “level” just like SAE has levels for self-driving cars. Adopting a level system can help organizations plan and prepare for AI systems that scale in complexity over time.

AI 308
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An Overview of Data Collection: Data Sources and Data Mining

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A data source can be the original site where data is created or where physical information is first digitized. Still, even the most polished data can be used as a source if it is accessed and used by another process. A data source […]. The post An Overview of Data Collection: Data Sources and Data Mining appeared first on Analytics Vidhya.

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Price increases people have noticed

FlowingData

Inflation is high. For NYT’s The Upshot, Emily Badger, Aatish Bhatia and Quoctrung Bui busted out the word cloud to show the price increases people noticed in February. As you might expect, the things that people purchase more often appear higher on the list, because the changes are easier to track. Tags: inflation , money , Upshot.

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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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7 Possible Cross Browser Testing Solutions for Data-Savvy Businesses

Smart Data Collective

Big data has become a core aspect of modern web marketing. Companies need to use data to optimize their websites and get the most value out of their digital marketing strategies. Over 1.1 trillion megabytes of data are created every day. The majority of this data is generated over the Internet. This gives companies a huge opportunity to bolster their online marketing strategies by leveraging big data to the best of their abilities.

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How Long Does It Take to Learn Data Science Fundamentals?

KDnuggets

This article discusses 2 levels of data science learning, and the amount of time that will need to go into each. From 6 months to 4 years, this write-up covers a number of skills and how long it takes to acquire them.

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The Power of Decisioning Async

Analytics Vidhya

Introduction The gushing VC funds, the blessing of unicorns, the pool of enterprising tech talent have left start-ups with no option but to move faster. In a fast-paced company, decisions have to be faster and more decentralized. The large meetings that have to find an intersection across many busy calendars can slow down decisions in […]. The post The Power of Decisioning Async appeared first on Analytics Vidhya.

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Reducing the risk of nuclear war

FlowingData

For Our World in Data, Max Roser discusses the risk and possible destruction of nuclear war , along with suggestions on how to reduce that risk: An escalating conflict between nuclear powers – but also an accident, a hacker, a terrorist, or an irresponsible leader – could lead to the detonation of nuclear weapons. Those risks only go to zero if all nuclear weapons are removed from the world.

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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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Big Data Offers Tremendous Benefits to Business Intelligence Solutions

Smart Data Collective

Business intelligence can help you gain a more accurate perspective on how your business is performing using key performance metrics. By 2023, 33% of companies will practice decision intelligence. Are you looking to use business intelligence to optimize business and security operations? Read on for an explanation and analysis of how business intelligence can leverage data to guide optimizing business and security operations.

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Building a Tractable, Feature Engineering Pipeline for Multivariate Time Series

KDnuggets

A time series feature engineering pipeline requires different transformations such as imputation and window aggregation, which follows a sequence of stages. This article demonstrates the building of a pipeline to derive multivariate time series features such that the features can then be easily tracked and validated.

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A Brief Overview of Recurrent Neural Networks (RNN)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Apple’s Siri and Google’s voice search both use Recurrent Neural Networks (RNNs), which are the state-of-the-art method for sequential data. It’s the first algorithm with an internal memory that remembers its input, making it perfect for problems involving sequential data in machine learning.

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Best of Tableau Web: February 2022

Tableau

Julia Biedry. Senior Solution Engineer, Tableau. Bronwen Boyd. March 9, 2022 - 8:03pm. March 15, 2022. Welcome to Best of Tableau Web—a monthly highlight of tips, tricks, and inspiration from across the internet on Tableau and data visualization. This month's highlight is by Julia Biedry Gonzalez, Tableau lead solution engineer for the United Nations, and Global Philanthropy Chair for Salesforce’s Latinoforce Equality Group.

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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.