Wed.May 05, 2021

article thumbnail

How to Perform One-Hot Encoding For Multi Categorical Variables

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In this article, we will learn about how can we. The post How to Perform One-Hot Encoding For Multi Categorical Variables appeared first on Analytics Vidhya.

article thumbnail

DataRobot Automates and Simplifies AI/ML

David Menninger's Analyst Perspectives

Machine learning is valuable for organizations, but it can be hard to deploy. Our Machine Learning Dynamic Insights research identifies that not having enough skilled resources and difficulty building and maintaining ML systems are pressing challenges organizations face in applying ML. Traditional ML model development is resource-intensive, requiring significant domain knowledge and time to produce and compare dozens of models.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Analytics vs Data Analysis, Are they similar?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. If you have a basic knowledge of tech, you must have. The post Data Analytics vs Data Analysis, Are they similar? appeared first on Analytics Vidhya.

article thumbnail

Spark on Kubernetes – Gang Scheduling with YuniKorn

Cloudera

Apache YuniKorn (Incubating) has just released 0.10.0 ( release announcement ). As part of this release, a new feature called Gang Scheduling has become available. By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient. What is Apache YuniKorn (Incubating)? Apache YuniKorn (Incubating) is a new Apache incubator project that offers rich scheduling capabilities on Kubernetes.

Metadata 136
article thumbnail

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.

article thumbnail

A Comprehensive Guide to Data Analysis using Pandas: Hands-On Data Analysis on IMDB movies data

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction If you are an aspiring Data Analyst / Data. The post A Comprehensive Guide to Data Analysis using Pandas: Hands-On Data Analysis on IMDB movies data appeared first on Analytics Vidhya.

article thumbnail

Photography Trends Utilizing Data To Keep Your Social Content Fresh

Smart Data Collective

Big data and artificial intelligence have become incredibly useful in the field of photography. Photographers need to know how to leverage big data effectively. A number of new trends have emerged that involve the use of data. They can be useful for social media marketers that need fresh visual content. Big Data Becomes Integral for Social Media Marketers Relying on Photography.

Big Data 127

More Trending

article thumbnail

Data Professionals Prefer A Hybrid Approach to Tools and Technologies

Business Over Broadway

I recently reached out to data professionals on LinkedIn to ask a series of questions about their work. Results from one of those polls revealed that 58% of data pros reported that they prefer a hybrid approach (on premises and cloud) for their tools and technologies. About a third of respondents preferred the cloud. Only 6% of respondents preferred on premises.

article thumbnail

5 Mistakes Done By Artificial Intelligence In The Past

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In today’s generation, artificial intelligence and machine learning are everywhere, The post 5 Mistakes Done By Artificial Intelligence In The Past appeared first on Analytics Vidhya.

article thumbnail

The 3 Pillars of Effective BI Governance

TDAN

For enterprise Business Intelligence (BI) deployments to be successful, it is critical that a governance layer is established on not only the data being captured, but also the analytics that are being delivered to business users. Without a comprehensive governance layer, users lose trust in both the analytics and the BI team, and establishing a […].

article thumbnail

A Gentle Introduction to Bokeh: Interactive Python Plotting Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Data visualization is an important and useful stage in a Data. The post A Gentle Introduction to Bokeh: Interactive Python Plotting Library appeared first on Analytics Vidhya.

article thumbnail

How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

article thumbnail

What Isaac Newton Did in Lockdown – And What it Tells Us About Data Science

Teradata

The end of the pandemic may well be in sight, but it’s highlighted the incredible power of data science to transform economies, industries & people’s lives for the better.

article thumbnail

Beginner’s Guide to Image and Text Similarity

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction After my latest published article about satellite image analysis “Image. The post Beginner’s Guide to Image and Text Similarity appeared first on Analytics Vidhya.

article thumbnail

7 Lessons to Ensure Successful ML Projects: The Dataiku Take

Dataiku

Regularly thrown around are the myriad of reasons that data science and machine learning (ML) projects fail, with some of the popular ones including data quality issues (missing or incomplete data, for example), problems around tooling (i.e., confronting legacy systems and processes during digital transformation), and a lack of data project operationalization (meaning the ML model wasn’t deployed for use across the organization to drive tangible value and impact).

article thumbnail

Data Science In Gaming Industry

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction With users spending more time than ever in sports, sports. The post Data Science In Gaming Industry appeared first on Analytics Vidhya.

article thumbnail

Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

article thumbnail

What Isaac Newton Did in Lockdown – And What it Tells Us About Data Science

Teradata

The end of the pandemic may well be in sight, but it’s highlighted the incredible power of data science to transform economies, industries & people’s lives for the better.

article thumbnail

Create a Dummy Stock Market Using Geometric Brownian Motion in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction : The goal is to create a replica of. The post Create a Dummy Stock Market Using Geometric Brownian Motion in Python appeared first on Analytics Vidhya.

Marketing 256
article thumbnail

Our Top 20 Most-Read Data & Analytics Research Last Week (to May 3)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Ted Friedman’s recent note, What Data and Analytics Leaders Need to Know and Do About Digital Twins , re-entered the charts last week in top spot. It was our most-read piece of research across data and analytics excluding branded research such as Magic Quadrants. “Digital twins are rapidly becoming a core component of digital business solutions.

article thumbnail

Virtual Conferences – The Newest “New Normal”

CDW Research Hub

No meeting up with old friends. No visiting booths and seeing cutting-edge technology in person. No ability to completely remove myself from the reaches of the daily workload. I sat on my couch and wondered: Is this virtual conference idea really going to work? I chatted with some colleagues, many of whom shared the same reservations. We all agreed on one thing: we were going to go “all in” with no prejudice.

article thumbnail

Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

article thumbnail

Robert Sweeney on the Hard Lessons Learned from Launching Startups

DataRobot

One of the things I appreciate about Netflix is that when I’m watching The Queen’s Gambit or some other series, I don’t have to search for the next episode. It starts automatically. Robert Sweeney is the guy who built that feature for Netflix. A recent visitor to our podcast, Robert left Netflix in 2012 to become something of a serial tech founder. He’s launched three companies: Attack Pattern, a software-development company; Numetric , an SaaS analytics firm; and most recently Facet , a technic

article thumbnail

Top 5 KPIs for Strategic Planning

Jet Global

Strategic planning ranks high on a company’s list of priorities, and equally high on the list of challenges. Consider the eye-opening results of a recent survey : 94% of CFOs plan to change their risk strategy in the wake of the COVID-19 pandemic. Those are sweeping changes in response to unprecedented events, but the need for change is not out of the ordinary.