ML

How Can Life Sciences Supply Chains Navigate a Disrupted World?

How Can Life Sciences Supply Chains Navigate a Disrupted World? Share this: Blog / How Can Life Sciences Supply Chains Navigate a Disrupted World? As the U.S. heads towards its second pandemic winter, there is talk of the far-reaching effects of a global economy in the grips of continued, unpredictable disruption, while at the same time many industries – life sciences being a significant one – are grappling with their own unique challenges and growing pains. A double whammy, so to speak. The upshot is that businesses must build resilience, a tolerance for ambiguity, and the ability to focus on

A Comprehensive Guide on Market Basket Analysis

This article was published as a part of the Data Science Blogathon Overview This comprehensive guide will instigate you to the world of Market Basket Analysis along with an implementation using Python on a dataset. Market Basket Analysis will help you to design different store Layouts. Introduction Nowadays Machine Learning is helping the Retail Industry in many different ways. You can imagine that from forecasting the performance of sales to identify the buyers, there are many applications of machine learning(ML) in the retail industry. “Market Basket Analysis” is one of the

Lambda Function – A better understanding

This article was published as a part of the Data Science Blogathon Greetings! If they are working on a real-time application or a complicated activity, all programmers, regardless of the domain, will come across the phrase function block in coding. So, what this function block will do is make our work easier and more elegant by making our code look simple even though the action we used is complicated. Introduction to Function Image Source: Author A function is a code block that includes a few structured statements of code, works when

How DeepMind Trains Agents to Play Any Game Without Intervention

How DeepMind Trains Agents to Play Any Game Without Intervention = Previous post Next post =>    Tags: Agents, AI, DeepMind, Games A new paper proposes a new architecture and training environment for generally capable agents. By Jesus Rodriguez, Intotheblock. comments Image Credit: DeepMind I recently started a new newsletter focus on AI education and already has over 50,000 subscribers. TheSequence is a no-BS( meaning no hype, no news etc) AI-focused newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning

KDnuggets™ News 21:n29, Aug 4: GitHub Copilot Open Source Alternatives; 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks

KDnuggets™ News 21:n29, Aug 4: GitHub Copilot Open Source Alternatives; 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks = Previous post Next post =>    Tags: Generative Models, GitHub, Linear Regression, Modeling, Neural Networks, NLP, Open Source, Programming GitHub Copilot Open Source Alternatives; 3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks; A Brief Introduction to the Concept of Data; MLOps Best Practices; GPU-Powered Data Science (NOT Deep Learning) with RAPIDS Features | Products | Tutorials | Opinions | Tops | Jobs | Submit a blog | Image of the week This week on KDnuggets:

Free dataset worth $1350 to test the accent gap!

Free dataset worth $1350 to test the accent gap! = Previous post Next post =>    Tags: Competition, Dataset, Marketplace, Speech Recognition With so many accent variations, how do speech and voice technologies keep up? In a few words: accented speech training data, representative of diverse groups of people. The more people your model can understand, the more likely you are to acquire and retain customers. Sponsored Post. Free dataset worth $1350 to test the accent gap! Here’s how accented speech data is the key to understanding multi-cultural users Given

30 Most Asked Machine Learning Questions Answered

30 Most Asked Machine Learning Questions Answered = Previous post Next post =>    Tags: Beginners, Interview Questions, Machine Learning, Regression, scikit-learn There is always a lot to learn in machine learning. Whether you are new to the field or a seasoned practitioner and ready for a refresher, understanding these key concepts will keep your skills honed in the right direction. comments By Abhay Parashar, Python Developer | Data Science Learner. Image By Author. Machine Learning is the path to a better and advanced future. A Machine Learning Developer is

MLOps Best Practices

MLOps Best Practices = Previous post Next post =>    Tags: Best Practices, MLOps Many technical challenges must be overcome to achieve successful delivery of machine learning solutions at scale. This article shares best practices we encountered while architecting and applying a model deployment platform within a large organization, including required functionality, the recommendation for a scalable deployment pattern, and techniques for testing and performance tuning models to maximize platform throughput. comments By Siddharth (Sid) Kashiramka, (Sr. Manager, Platform, Capital One), Anshuman Guha, (Principal Data Scientist, Card DS, Capital One),

A Brief Introduction to the Concept of Data

A Brief Introduction to the Concept of Data = Previous post Next post =>    Tags: Beginners, Data Analytics, Data Science, Qualitative Analytics, Quantitative Analytics, Statistics Every aspiring data scientist must know the concept of data and the kind of analysis they can run. This article introduces the concept of data (quantitative and qualitative) and the types of analysis. comments By Angelica Lo Duca, Institute of Informatics and Telematics of the National Research Council According to the Cambridge Dictionary [1], Data is information, especially facts or numbers, collected to be