Tue.Dec 21, 2021

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12 Data Plot Types for Visualisation from Concept to Code

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction When data is collected, there is a need to interpret and analyze it to provide insight into it. This insight can be about patterns, trends, or relationships between variables. Data interpretation is the process of reviewing data through well-defined methods. They help assign meaning […].

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Why we will always need humans to train AI — sometimes in real-time

KDnuggets

Customizable, real-time data labeling pipelines that can continuously receive and process unlabeled data are necessary to train and perfect the AI that impacts our lives and daily conveniences.

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Intent Classification with Convolutional Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Text classification is a machine-learning approach that groups text into pre-defined categories. It is an integral tool in Natural Language Processing (NLP) used for varied tasks like spam and non-spam email classification, sentiment analysis of movie reviews, detection of hate speech in social […].

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The Best ETL Tools in 2021

KDnuggets

If you have clear, well-defined objectives, it won’t be hard to identify the ETL technology that best meets your needs. Here are some of the best ETL tools you can use in your business.

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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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Traffic Signs Recognition using CNN and Keras in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this era of Artificial Intelligence, humans are becoming more dependent on technology. With the enhanced technology, multinational companies like Google, Tesla, Uber, Ford, Audi, Toyota, Mercedes-Benz, and many more are working on automating vehicles. They are trying to make more accurate autonomous […].

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The Chatbot Transformation: From Failure to the Future

KDnuggets

The all-knowing chatbots we once thought to be the future have been replaced by specialized bots, and the results are outstanding.

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Federated Learning: Collaborative Machine Learning with a Tutorial on How to Get Started

KDnuggets

Read on to learn more about the intricacies of federated learning and what it can do for machine learning on sensitive data.

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Artificial Intelligence and the Future of Databases in the Big Data Era

Smart Data Collective

Big data is a phrase that the industry coined in 1987 , but it took years before it became truly popular. By the time the name was a household term, big data was everywhere, and companies were seeking ways to store and use the data. Data scientists knew that big data could hold valuable insights. The key was finding a way to analyze it as it continued to flood in constantly.

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines.

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The Best of Both Worlds for AI Success: Quick Wins & Long-Term Transformation

Dataiku

The stakes have never been higher in a changing world that demands constant agility and adaptability from businesses across all industries, and the race is on for organizations to fully transform with AI. That said, urgency doesn’t translate to ease. Many organizations still feel overwhelmed by the decisions and challenges that stand in the way of implementing AI throughout their business processes.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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How to Create a Performance Dashboard in 10-Mins?

FineReport

How to maintain high competitiveness in the violent and competitive digital environment? The answer is to track and evaluate your competitive performance over time. To best quantify employee performance and ensure timely and accurate data, the performance dashboard makes its debut. What is Performance Dashboard. Companies can use performance dashboards to guide a variety of metrics, from checking the performance of a department/individual to monitoring the availability of business strategies fo

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Reinforcement Learning: The K-armed Bandit Problem

Domino Data Lab

In a previous blog post we talked about the foundations of reinforcement learning. We covered classical and operant conditioning, rewards, states, and actions, and did a review of some common reinforcement learning use-cases. This entry is a continuation of the series. In it, we present the k-armed bandit problem - a very simple setting that enables us to introduce the interaction between some of the key components of reinforcement learning.

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Top 21 Dataviz Resources of 2021

Depict Data Studio

6,000 total participants in our dataviz training academy so far (with 5 cohorts going through our Full Courses in 2021 alone). 28 blog posts. 14 YouTube videos. 6 podcast interviews. 1 new baby. What a year. Top 21 Dataviz Resources of 2021. Want to do some year-end learning as 2021 winds down? Here are our favorite 21 data visualization resources from the past year.

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Oracle buys Cerner and Trumps Cloud Competitors

Andrew White

Disclaimer: I don’t focus on Oracle, Healthcare or Cloud markets. I focus on data and analytics. Oracle, like many other vendors, healthcare and man other industries, and cloud all touch data and analytics. I was Oracle Vendor Lead for just over two years, some 4 years ago. Today’s news reported that Oracle has acquired medical records software company Cerner for $28.3 billion.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.