Mon.Jun 06, 2022

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5 MLOps Best Practices with Real-World Examples

Domino Data Lab

Machine learning operations (MLOps) is more than just the latest buzzword in the artificial intelligence (AI) and machine learning (ML) community. Many companies are realizing they need a set of practices to efficiently get models built and into production, and MLOps does just that.

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Introduction to Keycloak

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In a Technological Era, application security is becoming a much more important concept. In a security principle, we may heard the importance of authorization. Unauthorized access to data can potentially cost a high amount of money. Even rather than money, there […].

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Learn MLOps with This Free Course

KDnuggets

Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.

Modeling 157
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Text Detection Using CRAFT Text Detector

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image source: [link] Introduction In this article, we study the “Character region Awareness for Text Detection” model by Clova AI research, Naver Corp. The deep learning-based model provides scene text detection or bounding boxes of text in an image. These bounding boxes can […].

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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.

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Python: The programming language of machine learning

KDnuggets

You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.

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A Complete Guide on Using MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. MongoDB is a type of NoSQL database which is open-sourced and widely used in data science and machine learning in form of a database. Hence, knowledge of it is important in the long run, especially in the field of data science and analytics. […]. The post A Complete Guide on Using MongoDB appeared first on Analytics Vidhya.

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What are Schemas in Data Warehouse Modeling?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Do you think you can derive insights from raw data? It’s possible, of course, but it can be tiresome and not be as accurate as it should be. Wouldn’t the process be much easier if the raw data were more organized and clean? Here’s when Data […]. The post What are Schemas in Data Warehouse Modeling?

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Must-haves on Your Data Science Resume

KDnuggets

Recruiters look at a resume for 7.4 seconds before making a decision on the candidate. So that means you have basically less than 10 seconds to make a good impression. 10 seconds is not a lot of time; especially when you really want this job.

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Hive Advance: Performance Tuning Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss advanced topics in hives which are required for Data-Engineering. Whenever we design a Big-data solution and execute hive queries on clusters it is the responsibility of a developer to optimize the hive queries. Performance Tuning in […].

Big Data 367
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Humanity in Data Visualization: Designing a One-Pager for My Grandma’s Caregivers

Depict Data Studio

I registered for the Simple Spreadsheets course because I was a beginner with using Excel and I knew I was utilizing only a fraction of its capabilities. I also had the good fortune of attending some of Ann’s in-person presentations about data visualization at a conference for Continuous Quality Improvement hosted by the California Department of Social Services, which had an unquantifiable impact on the personal project I will be sharing with you today.

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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.

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Some Misconceptions about Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. How are the fields of machine learning and statistics related? Are they different fields by themselves? How important are statistics for machine learning? Is the phenomenal rise of machine learning in recent decades indicate some problems in the fundamentals of statistical theory in […].

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What’s new in TOGAF 10?

CIO Business Intelligence

Developed by The Open Group in 1995, TOGAF is one of the most widely used enterprise architecture frameworks today. It’s used by small, medium, and large businesses as well as government departments, non-government public organizations, and defense agencies. The Open Group announced the latest update to the framework, releasing the TOGAF 10 Standard Edition earlier this year.

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Machine Learning for Heart Disease Prediction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Heart Disease Prediction This article is about exploring the potential of machine learning in understanding key indicators of Heart Disease Prediction. Heart disease puts an enormous burden on the global healthcare system. If the problem is attended to on time, many […].

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Genetic Algorithm Key Terms, Explained

KDnuggets

This article presents simple definitions for 12 genetic algorithm key terms, in order to help better introduce the concepts to newcomers.

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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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Video Game Clustering Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Video Game Clustering In this article, I am going to cluster some of the popular video games according to their given features. I have done this project while learning about the K-Means Clustering. After reading this article, you can able to: Data […]. The post Video Game Clustering Using Python appeared first on Analytics Vidhya.

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Cloud collaboration tools: The critical ingredient driving the success of new hybrid working models

CIO Business Intelligence

As organisations pivot to hybrid working models, cloud collaboration tools have proved they are scalable, secure, and resilient – finally dispelling any lingering concerns that the technology is not yet enterprise ready. In fact, one of the key messages from the recent CIO Cloud Transformation Summit was that this technology has dramatically transformed the business of work and its upward trajectory is set to continue.

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Gradio App for Translating Spanish Audio

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Gradio App Language is an important part of our lives since it connects us and gives us a sense of belonging. But unfortunately, many languages have already become extinct and some are on the verge of becoming extinct as a result […]. The post Gradio App for Translating Spanish Audio appeared first on Analytics Vidhya.

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5 Value-Driven Benefits That Meaningfully Impact Our Culture

Dataiku

At Dataiku, our culture isn’t just an aspiration, it’s an inspiration. We carefully selected six core values to help shape our culture and inspire how we treat every person at every level of the company.

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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

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An End to End Guide on NLP Pipeline

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hello friends, In this article, we will discuss End to End NLP pipeline in an easy way. If we have to build any NLP-based software using Machine Learning or Deep Learning then we can use this pipeline. Natural Language Processing (NLP) is one […]. The post An End to End Guide on NLP Pipeline appeared first on Analytics Vidhya.

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‘X’ Marks the Data: Alation Is the Treasure Map to the Snowflake Data Cloud

Alation

Next week, the Alation team will be at the Snowflake Summit. We’re excited to join this amazing event that will summon 12,000+ data cloud enthusiasts to Las Vegas! Our theme for this event is: The Treasure Map to the Data Cloud. Visit us at Booth 2009 at the Summit. We’ll be easy to find … just follow the map! And we have a lot to share.

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Get to Know About Machine Learning Life Cycle

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Machine Learning life cycle or Machine Learning Development Life Cycle to be precise can be said as a set of guidelines which need to be followed when we build machine learning-based projects. The ML life cycle helps to build an efficient […]. The post Get to Know About Machine Learning Life Cycle appeared first on Analytics Vidhya.

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6 Value-Driven Benefits That Meaningfully Impact Our Culture

Dataiku

At Dataiku, our culture isn’t just an aspiration, it’s an inspiration. We carefully selected six core values to help shape our culture and inspire how we treat every person at every level of the company.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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What is a Feature Store? | Domino Data Lab

Domino Data Lab

Features are input for machine learning models. The most efficient way to use them across an organization is in a feature store that automates the data transformations, stores them and makes them available for training and inference.

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The Utility of Superlative Customer Experience

CIO Business Intelligence

Tell me if you’ve heard this story before. While visiting my daughter in college, I spent an hour on hold with her utility company trying to help with a billing issue that she thought had already been resolved. When the call was finally answered “in the order it was received” I had to explain the problem from scratch to a representative (let’s call her Sheila) who was totally new to this case.