Analytics Vidhya

JANUARY 25, 2022

This article was published as a part of the Data Science Blogathon. Source: Designed by Freepik Introduction We are living in a world where data is collected at every transaction, be it taking a cab ride, online shopping details of what was bought and how much was bought, there are reminders for getting our vehicles […]. The post Building Explainer Dashboards in Python appeared first on Analytics Vidhya.

Dashboards 261

Dashboards Data Science Publishing Analytics 261

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. Perhaps it is no surprise that the average tenure of a CDO or CAO is only about 2.5 years.

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Consulting Testing Data Lake Data Quality 244

Analytics Vidhya

JANUARY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be going through two concepts MLOps and DevOps. We will first try to get through their basics and then we will explore the differences between them. As you might be aware in DevOps we try to bring together […]. The post MLOps vs DevOps: Let’s Understand the Differences?

Data Science 271

Data Science Publishing Analytics Machine Learning 271

KDnuggets

JANUARY 25, 2022

Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.

Data Science 127

Data Science 127

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.

Experimentation

Analytics Vidhya

JANUARY 25, 2022

This article was published as a part of the Data Science Blogathon. In this article, we will gain knowledge of working with audio data. We will use audio data to solve a very critical and real-world problem. Before going in-depth, let’s list what will cover in this article. Table of Contents What is an audio signal? […]. The post Vehicle Sound Classification Using Deep Learning appeared first on Analytics Vidhya.

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Deep Learning Data Science Publishing Analytics 256

KDnuggets

JANUARY 25, 2022

In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.

IT 110

IT 110

KDnuggets

JANUARY 25, 2022

Participating in competitions has taught me everything about machine learning and how It can help you learn multiple domains faster than online courses.

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Machine Learning IT 115

Dataiku

JANUARY 25, 2022

You may not have even noticed, but geospatial data has become an indispensable part of our life. We use maps and GPS trackers almost every day — generating or consuming lots of data with coordinates in one way or another. Therefore, leveraging data science to analyze this data is of interest for many individuals and organizations. Is this the case for you?

Data Science 59

Data Science 59

KDnuggets

JANUARY 25, 2022

Now in print! New edition of the bestselling original by François Chollet.

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Deep Learning 131

Dataiku

JANUARY 25, 2022

The Atacama Large Millimeter/submillimeter Array ( ALMA ) is the largest astronomical project in existence, with its revolutionary radio telescope studying the oldest and coldest objects in the universe from a high altitude plateau in Chile. Processing the complex and enormous amount of data they receive from their high precision antennas is challenging and, since 2017, the nonprofit has collaborated with Dataiku to optimize its operations — lowering the hours needed to keep everything working a

Optimization 59

Optimization IT 59

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.

Strategy

KDnuggets

JANUARY 25, 2022

Also: Is Data Science a Dying Career?; Top Programming Languages and Their Uses; Models Are Rarely Deployed: An Industry-wide Failure in Machine Learning Leadership; How to Process a DataFrame with Millions of Rows in Seconds.

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Machine Learning Data Science Modeling 80

CONTACT Software

JANUARY 25, 2022

Yes, this is a serious question: Is there anyone who does not yet use cloud services, whether from their computer at home, at work or directly from their cell phone? We have all become so accustomed to using cloud servers like What’s App, Facebook or Dropbox. And these services work, are secure and are always … Continue reading "Anyone out there not yet in the cloud?".

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DataRobot

JANUARY 25, 2022

Time series projects are among the most challenging in the world of data science today. But for organizations striving to become AI-driven, understanding how to approach those projects is essential. While traditional modeling relies on classification, regression, and static data, the data for time series is far more fluid. And taking this from raw data to accurate predictions not only requires a hefty investment in talent and technology but also a deep understanding of the business and the tools

Forecasting 52

Forecasting Cost-Benefit Data-driven Modeling 52

bridgei2i

JANUARY 25, 2022

PODCAST: Making AI Real. The Basic Guide to Data Science at the Workplace. Listening time: 18 minutes. The Basic Guide to Data Science at the Workplace. In this podcast episode, AI enthusiasts Anirudh and Janci talk about how sincere curiosity and passion for learning can help anyone understand data science and become an active contributor. They discuss real-world examples of data science applications, the difference between machine learning and data science, and the skills needed to succeed.

Data Science 52

Data Science Machine Learning Data-driven Statistics 52

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.

Testing

Smart Data Collective

JANUARY 25, 2022

Data security is becoming a greater concern for companies all over the world. The pandemic has contributed to these issues. A number of hackers started targeting companies for data breaches during the pandemic, partly because so many employees were working remotely. The frequency of data breaches is not likely to subside anytime soon. Many companies are making work-from-home models permanent, which means data threats are going to be as common as ever.

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Risk Software Measurement IT 108

bridgei2i

JANUARY 25, 2022

PODCAST: Making AI Real. How MLOps is Shaping AI in the Real World. Listening time: 17 minutes. How MLOps is Shaping AI in the Real World. In this episode of the AI to Impact Podcast, host Shivalika interacts with Kishore Kumar, Technical Lead & Senior AI Solutions architect at BRIDGEi2i, to know all about how MLOps is transforming the landscape for data scientists and engineers alike.

Machine Learning 52

Machine Learning Modeling Data Processing Enterprise 52

Depict Data Studio

JANUARY 25, 2022

Are you working on a dashboard at your workplace? Maybe you’re making a brand-new dashboard? Maybe you’re revamping an existing dashboard to bring it up to speed? Maybe you don’t have a dashboard yet, and you’re wondering if you need one? In this article, you’ll see my 10 worst mistakes from past dashboards. I’ve made all these mistakes (and more…) over the past 15 years.

Dashboards 129

Dashboards Interactive Software Cost-Benefit 129

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes.

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Metadata IT Metrics Data-driven 52

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.

Management

Cloudera

JANUARY 25, 2022

The start of a new year is a perfect time to reflect on what was accomplished and look forward, re-evaluate what we can do better. Change, although difficult at first, can also be very rewarding. That’s why I was excited to see similar sentiments shared at Thoughtspot beyond.2021 to move beyond the traditional dashboards of the past. As roles within organizations evolve (as seen by the growth of citizen scientists and analytics engineers) and as data needs change (think schema changes and real-

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Visualization Machine Learning Predictive Analytics Data-driven 89