Sat.Oct 01, 2022 - Fri.Oct 07, 2022

article thumbnail

The ABCs of NLP, From A to Z

KDnuggets

There is no shortage of tools today that can help you through the steps of natural language processing, but if you want to get a handle on the basics this is a good place to start. Read about the ABCs of NLP, all the way from A to Z.

article thumbnail

Three R Libraries for Automated EDA

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the increasing use of technology, data accumulation is faster than ever due to connected smart devices. These devices continuously collect and transmit data that can be processed, transformed, and stored for later use. This collected data, known as big data, holds valuable […].

EDA 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

The maximizing effect of ad hoc reports: Ad hoc reporting explained

Dataconomy

If used properly, data presents a multitude of opportunities for people and businesses aiming to enhance their operational effectiveness, business intelligence, profitability, and long-term success. Today, failing to use digital data to your advantage could have severe effects on your company. It’s like trying to navigate a busy roadway while.

article thumbnail

Responsible AI Is an Enterprise Imperative

Dataversity

AI models have been proven to enhance critical processes that influence bottom lines, from predicting and preventing churn to detecting instances of fraud. But AI has also made headlines for producing harmful business and societal results, such as discriminating against individuals based on race or gender.

AI 189
article thumbnail

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?

article thumbnail

Key-Value Databases, Explained

KDnuggets

Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

Database 396
article thumbnail

Using MongoDB with Pandas, NumPy, and PyArrow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you are a data scientist or a Python developer who sometimes wears the data scientist hat, you were likely required to work with some of these tools & technologies: Pandas, NumPy, PyArrow, and MongoDB. If you are new to these terms, […]. The post Using MongoDB with Pandas, NumPy, and PyArrow appeared first on Analytics Vidhya.

More Trending

article thumbnail

How Formula 1 Teams Leverage Big Data for Success

Smart Data Collective

We have previously talked about ways that big data is changing the world of sports. Formula 1 teams are among those most affected. Ever since the Oakland A’s switched their recruitment policy from a players’ running speed and strength to a more sophisticated and nuanced look at the on-base slugging percentage, the world of sports has become more and more accustomed to utilizing sports analytics in their team-building.

Big Data 127
article thumbnail

How to Get Up and Running with SQL – A List of Free Learning Resources

KDnuggets

We have compiled a list of the top free resources to help new data practitioners learn SQL. These include free online courses and resources to get the most out of your SQL skills.

SQL 330
article thumbnail

Key Components and Challenges of Data Lakes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Today, Data Lake is most commonly used to describe an ecosystem of IT tools and processes (infrastructure as a service, software as a service, etc.) that work together to make processing and storing large volumes of data easy. An ecosystem consists of […]. The post Key Components and Challenges of Data Lakes appeared first on Analytics Vidhya.

article thumbnail

RecSys 2022: Recap, Favorite Papers, and Lessons

Eugene Yan

My three favorite papers, 17 paper summaries, and ML and non-ML lessons.

ML 130
article thumbnail

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.

article thumbnail

Essential Productivity Hacks in Cloud-Centric Workplaces

Smart Data Collective

The market for cloud technology is growing remarkably. One study shows spending on cloud services doubled between 2017 and 2020 from $30 billion to $60 billion. Cloud technology is changing the face of the modern workplace. More companies than ever are leveraging the cloud to boost productivity, improve customer service strategies and streamline the research and development process.

article thumbnail

AI in FinTech: Managing the Finance of the Future

KDnuggets

Digital transformation is evolving, and so is the fintech industry by implementing AI trends and leveraging several benefits, such as optimizing productivity, increasing ROI, and enhancing security.

AI 311
article thumbnail

Sentiment Analysis Using VADER

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A business or a brand’s success depends solely on customer satisfaction. Suppose, if the customer does not like the product, you may have to work on the product to make it more efficient. So, for you to identify this, you will be […]. The post Sentiment Analysis Using VADER appeared first on Analytics Vidhya.

article thumbnail

Wide range of data exploration tools

FlowingData

Simon Willison asked a straightforward question about the tools people use : If someone gives you a CSV file with 100,000 rows in it, what tools do you use to start exploring and understanding that data? Then he expanded the question asking what people use for files with 1 million rows, 10 million rows, and 1 billion rows. Browse the thousands of replies, and you quickly see that (1) there are many options to explore a dataset and (2) many people feel that what they’re using is the best op

105
105
article thumbnail

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.

article thumbnail

Cloud Helps Russian Developers Gain Global Popularity

Smart Data Collective

From creating world-famous games like Tertis to being recognized by Google and Facebook with some of the most prestigious programmer awards, Russian developers have come a long way to becoming global leaders in programming. The country is known for its large pool of skilled and expert programmers who are capable of accomplishing the most challenging tasks.

article thumbnail

NLP Interview Questions

KDnuggets

What is NLP, and what types of questions related to NLP can you expect at the NLP-related job interviews?

393
393
article thumbnail

Real-time Challenges of Machine Learning Projects

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning projects can be extremely challenging in the IT industry. Several factors can make them difficult, including the volume of data that needs to be processed, the complexity of the algorithms involved, and the need to ensure that the systems are […].

article thumbnail

Best of Tableau Web: September 2022

Tableau

Mark Bradbourne. National Solutions Engineer, Tableau . Bronwen Boyd. September 30, 2022 - 8:07pm. October 1, 2022. Welcome to the Best of the Tableau Web! Each month we showcase the amazing outputs from the Tableau Community, including blogs, podcasts, and even videos. This month we take things to the next level and recognize community members who have written the book(s) on data!

Tableau 98
article thumbnail

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.

article thumbnail

Solving the Snapshot Migration Dilemma

Dataversity

Detailed planning and thoughtful consideration are critical for IT leaders moving their unstructured data to a new platform, whether it be on-premises or in the cloud. If they aren’t cautious, enterprises may encounter cost overruns, project delays, and data risk. Migrating snapshots from one network-attached storage (NAS) to another ranks high on the list of […].

article thumbnail

Interview Kickstart Data Science Interview Course — What Makes It Different?

KDnuggets

Interview Kickstart’s Data Science Interview Course is built by Data Scientists from MAANG and other big tech companies, the course promises to get you interview-ready in 15 weeks.

article thumbnail

Demystifying NoSQL: Your Complete Interview Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In data science, learning about databases is inevitable. In fact, as a data science expert, you have to learn how to work with databases, run queries quickly, and more. There is no way around it! He has two things to know. Learn […]. The post Demystifying NoSQL: Your Complete Interview Guide appeared first on Analytics Vidhya.

Database 335
article thumbnail

Best of Tableau Web: September 2022

Tableau

Mark Bradbourne. National Solutions Engineer, Tableau . Bronwen Boyd. September 30, 2022 - 8:07pm. October 1, 2022. Welcome to the Best of the Tableau Web! Each month we showcase the amazing outputs from the Tableau Community, including blogs, podcasts, and even videos. This month we take things to the next level and recognize community members who have written the book(s) on data!

Tableau 98
article thumbnail

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.

article thumbnail

Scaling Data Access Governance

Dataversity

The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. However, this ability comes with potential consequences. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […].

article thumbnail

Top Posts September 26 – October 2: Free Algorithms in Python Course

KDnuggets

Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • Lessons from a Senior Data Scientist • A Day in the Life of a Data Scientist: Expert vs. Beginner • 7 Machine Learning Portfolio Projects to Boost the Resume.

Algorithm 267
article thumbnail

Reduce Equation of Quantum Physics Using Artificial Intelligence

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Physicists have reduced a quantum physics problem that required 100,000 equations into a bite-size task that only requires four equations using Artificial Intelligence (AI). Researchers at the US-based Flatiron Institute trained a machine learning tool to grasp the physics of electrons moving on […].

article thumbnail

China’s fishing patterns shift globally

FlowingData

China’s fish supply is running low along its own coast, so they’ve shifted their fishing activities globally. The New York Times visualized the shift with animated maps. Tags: China , fishing , New York Times.

94
article thumbnail

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.

article thumbnail

Discovering novel algorithms with AlphaTensor

DeepMind

In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks such as matrix multiplication. This sheds light on a 50-year-old open question in mathematics about finding the fastest way to multiply two matrices. This paper is a stepping stone in DeepMind’s mission to advance science and unlock the most fundamental problems using AI.

article thumbnail

Master Transformers with This Free Stanford Course!

KDnuggets

If you want a deep dive on transformers, this Stanford course has made its courseware freely available, including lecture videos, readings, assignments, and more.

article thumbnail

Apache Kafka Use Cases and Installation Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Today, we expect web applications to respond to user queries quickly, if not immediately. As applications cover more aspects of our daily lives, it is increasingly difficult to provide users with a quick response. Source: kafka.apache.org Caching is used to solve […].

article thumbnail

Accessible visualization with Olli JavaScript library

FlowingData

The Olli library aims to make it easier for developers to improve the accessibility of existing charts : Olli is an open-source library for converting data visualizations into accessible text structures for screen reader users. Starting with an existing visualization specification created with a supported toolkit, Olli produces a keyboard-navigable tree view with descriptions at varying levels of detail.

article thumbnail

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.