insideBIGDATA

SEPTEMBER 15, 2023

Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" joins our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, (..)

Machine Learning 231

Machine Learning Machine Learning Data Scientist AI 231

Analytics Vidhya

DECEMBER 11, 2022

Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to learn and improve from data automatically. However, successfully deploying and managing ML in production can be challenging, requiring careful coordination between data scientists and […].

Machine Learning 326

Machine Learning Machine Learning Data Scientist ML 326

Hacker News

MAY 9, 2024

A roadmap for putting Nx into production" is up on youtube. My ElixirConf EU 2024 keynote "Ship it! I'm hoping it will help folks gain the confidence to go o.

Machine Learning 155

Machine Learning Machine Learning 155

insideBIGDATA

APRIL 15, 2023

In this video presentation from our friends over at FourthBrain we have a timely presentation by Jeff Boudier, Product Director at Hugging Face, to discuss building machine learning apps with Hugging Face from LLMs to diffusion modeling.

Machine Learning 370

Machine Learning Machine Learning Deep Learning Deep Learning 370

Analytics Vidhya

MAY 10, 2022

Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The post IPL Team Win Prediction Project Using Machine Learning appeared first on Analytics Vidhya.

Machine Learning 380

Machine Learning Machine Learning Data Science Analytics 380

insideBIGDATA

MARCH 7, 2023

Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications.

Machine Learning 333

Machine Learning Machine Learning ML ML 333

KDnuggets

MARCH 14, 2024

Ready to become a SAS Certified Specialist in Statistics for Machine Learning? Here’s everything you need to know about the recently released certification from SAS.

Machine Learning 313

Machine Learning Machine Learning 313

KDnuggets

OCTOBER 12, 2023

Ready to take your machine learning skills to new heights? Dive into the world of Metaflow with us and elevate your expertise with Uplimit's Full-Stack Machine Learning with Metaflow course!

Machine Learning 309

Machine Learning Machine Learning 309

Analytics Vidhya

FEBRUARY 3, 2022

Overview Machine learning (ML) has a lot of potential for increasing productivity. The post Privacy-Preserving in Machine Learning (PPML) appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Machine Learning 315

Machine Learning Machine Learning ML ML 315

Analytics Vidhya

MARCH 9, 2023

Introduction Machine learning is a powerful tool for digital marketing that uses data analysis to predict consumer behavior and improve marketing campaigns. According to a […] The post 10 Ways to Use Machine Learning for Marketing in 2023 appeared first on Analytics Vidhya.

Machine Learning 276

Machine Learning Machine Learning Data Analysis Data Analysis 276

Data Science Dojo

JULY 5, 2023

Machine Learning (ML) is a powerful tool that can be used to solve a wide variety of problems. However, building and deploying a machine-learning model is not a simple task. It requires a comprehensive understanding of the end-to-end machine learning lifecycle.

Machine Learning 195

Machine Learning Machine Learning EDA Exploratory Data Analysis 195

databricks

OCTOBER 19, 2023

Machine learning (ML) is more than just developing models; it's about bringing them to life in real-world, production systems. But transitioning from prototype.

Machine Learning 280

Machine Learning Machine Learning ML ML 280

KDnuggets

JUNE 14, 2022

The guide to writing production-ready Python code for machine learning projects.

Machine Learning 355

Machine Learning Machine Learning Python 355

Hacker News

JANUARY 7, 2024

With all the hype surrounding machine learning whether its with self driving cars or LLMs, there is a big elephant in the room which not a lot of people are talking about. If you are deploying machine learning systems in production, I think its worth paying attention to this topic.

Machine Learning 165

Machine Learning Machine Learning 165

Analytics Vidhya

JANUARY 5, 2022

Testing helps in ensuring that the final product is by and large, free of defects and it meets the desired requirements. The post Writing Test Cases for Machine Learning systems appeared first on Analytics Vidhya. Introduction Testing forms an integral part of any software development project.

Machine Learning 330

Machine Learning Machine Learning Data Science Analytics 330

KDnuggets

DECEMBER 22, 2021

What is going on when machine learning can't make the jump from testing to production, and so doesn't add any business value?

Machine Learning 382

Machine Learning Machine Learning 382

Analytics Vidhya

AUGUST 20, 2022

Introduction Companies are trying to disrupt the technological and business market by introducing new and smart products and techniques in society by adopting new age-technologies like Artificial intelligence and Machine learning. Each organization is searching for well-talented and experienced people who can serve […].

Machine Learning 253

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 253

KDnuggets

JUNE 6, 2022

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.

Machine Learning 383

Machine Learning Machine Learning Python 383

Analytics Vidhya

OCTOBER 18, 2021

This article was published as a part of the Data Science Blogathon Learn how machine learning pipelines are used in productions and design your first pipeline using simple steps on disaster tweets classification datasets. You will also learn how to ingest the data, preprocess, train, and eventually evaluate the results.

Machine Learning 298

Machine Learning Machine Learning Data Science Analytics 298

Heartbeat

JUNE 12, 2023

Source: Author Introduction Machine learning model monitoring tracks the performance and behavior of a machine learning model over time. Many tools and techniques are available for ML model monitoring in production, such as automated monitoring systems, dashboarding and visualization, and alerts and notifications.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

KDnuggets

JULY 26, 2023

We are excited to announce a collaboration between Machine Learning Mastery and KDnuggets, our brand new ebook, "Maximizing Productivity with ChatGPT," to enrich your Machine Learning journey.

Machine Learning 206

Machine Learning Machine Learning AI AI 206

insideBIGDATA

MARCH 18, 2024

Evaluation frameworks can play a critical role in this journey by allowing developers to run experiments faster and gain systematic validation for production readiness. Connecting such an evaluation framework with a scaled observability platform brings confidence in production.

Data Scientist 411

Data Scientist Deep Learning Deep Learning Data Science 411

Towards AI

SEPTEMBER 2, 2023

Machine Learning (ML) model development often takes time and requires technical expertise. However, after deploying the model to production, there are plenty of reasons that contribute to lower model performance or degradation. How is our model impacted in the evolving world? Upgrade to access all of Medium.

Machine Learning 124

Machine Learning Machine Learning Data Science Python 124

KDnuggets

MAY 18, 2023

Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale.

Machine Learning 231

Machine Learning Machine Learning ML ML 231

Analytics Vidhya

MAY 13, 2021

Introduction Operationalizing a Machine Learning (ML) model in production needs. The post Data Validation in Machine Learning is imperative, not optional appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Machine Learning 297

Machine Learning Machine Learning ML ML 297

Towards AI

FEBRUARY 16, 2024

Image adapted from Adobe Stock Machine learning is becoming a significant tool in the field of chemistry, providing new opportunities in various areas such as drug discovery and materials science. Recently, the combination of machine learning and chemistry has made significant progress. Published via Towards AI

Machine Learning 113

Machine Learning Machine Learning AI AI 113

IBM Data Science in Practice

MARCH 8, 2023

Feature Platforms — A New Paradigm in Machine Learning Operations (MLOps) Operationalizing Machine Learning is Still Hard OpenAI introduced ChatGPT. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years.

Machine Learning 264

Machine Learning Machine Learning ML ML 264

KDnuggets

NOVEMBER 14, 2023

Read on to find out everything you need to become a SAS Certified Machine Learning Engineer.

Machine Learning 313

Machine Learning Machine Learning 313

KDnuggets

NOVEMBER 1, 2019

This live webinar, Nov 14 @ 12pm EST, on MLOps for production-level machine learning, will detail MLOps, a compound of “machine learning” and “operations”, a practice for collaboration and communication between data scientists and operations professionals to help manage the production machine learning lifecycle.

Machine Learning 140

Machine Learning Machine Learning Data Scientist 140

Analytics Vidhya

OCTOBER 6, 2019

Overview What are the next steps after you’ve deployed your machine learning model? Post-deployment monitoring is a crucial step in any machine learning project. The post Deployed your Machine Learning Model?

Machine Learning 275

Machine Learning Machine Learning Analytics Analytics 275

Analytics Vidhya

MAY 29, 2022

Introduction on RFM Analysis This article aims to take you through the important concept of Customer Segmentation using RFM Analysis and how it can be done using machine learning. The post Product Recommendation System Using RFM Analysis appeared first on Analytics Vidhya.

Machine Learning 345

Machine Learning Machine Learning Data Science Algorithm 345

Analytics Vidhya

MARCH 21, 2022

This is the best fit for the traditional software that is managed in the production environment very effectively […]. The post A Comprehensive Guide on MLOps for Machine Learning Engineering appeared first on Analytics Vidhya.

Machine Learning 292

Machine Learning Machine Learning Data Science Analytics 292

KDnuggets

JANUARY 4, 2023

Check out this solid plan for learning Data Science, Machine Learning, and Deep Learning. The entire plan is currently available at no cost to KDnuggets readers.

Deep Learning 367

Deep Learning Deep Learning Machine Learning Machine Learning 367

Analytics Vidhya

APRIL 16, 2022

Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team! In a normal software engineering development cycle, you would now sit back and relax; however, in the machine learning development cycle, deployment to production is just about […].

Machine Learning 370

Machine Learning Machine Learning Data Science Analytics 370

Analytics Vidhya

APRIL 2, 2022

Introduction MLOps, as a new area, is quickly gaining traction among Data Scientists, Machine Learning Engineers, and AI enthusiasts. MLOps are required for anything to reach production. The post Your Go-to Guide on Machine Learning Operations (MLOps) appeared first on Analytics Vidhya.

Machine Learning 241

Machine Learning Machine Learning Data Scientist Data Science 241

KDnuggets

OCTOBER 12, 2022

Interview Kickstart’s Machine Learning Interview Course is the first-of-its-kind, ML-specific tech interview prep program designed and taught by FAANG+ instructors. Learn more about the program.

Machine Learning 321

Machine Learning Machine Learning ML ML 321

KDnuggets

MAY 8, 2023

MLOps for model drift management: Learn about ensuring the accuracy and performance of machine learning models in production.

Machine Learning 255

Machine Learning Machine Learning 255