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.

Big Data 227
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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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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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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 376
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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. […].

More Trending

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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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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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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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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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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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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.

Big Data 112
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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 […].

ML 282
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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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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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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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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 290
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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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Now available in Tableau 2022.1—Workbook Optimizer, Ask Data Phrase Builder, enhanced enterprise capabilities, and more

Tableau

Michael Hetrick. Senior Product Marketing Manager, Tableau. Spencer Czapiewski. March 7, 2022 - 6:58pm. March 30, 2022. Our latest release is here! Tableau 2022.1 delivers new capabilities to help people more efficiently analyze data and confidently manage the platform, while scaling Tableau across your organization so that everyone can make better business decisions.

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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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5 Ways Data Analytics Helps Us Understand the Student Lending Crisis

Smart Data Collective

Data analytics is giving us more insights into many of the most pressing challenges that we have faced as a society. More policymakers are using data to make more informed decisions. Analytics Insight shared a list of 10 major ways that big data is changing politics. The biggest benefits relate to using big data to understand voters and create models of voting patterns in various districts.

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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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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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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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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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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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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.

Analytics 256
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Announcing the global winners for the 2021 Tableau Partner Awards

Tableau

Julie Bennani. SVP, WW Partners and Alliances, Tableau. Kristin Adderson. March 8, 2022 - 6:45pm. March 10, 2022. We just concluded our annual Tableau Partner Executive Kick Off (PEKO). PEKO brings together our top partners from around the world to align, connect, and acknowledge our wins from the past year. At the event, we heard from Tableau executives on our strategy and direction for fiscal year 2023 (FY23), connected in small-group breakout sessions to share learnings and ideas, and celebra

Tableau 92
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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.