Implementing MLOps on an Edge Device = Previous post Tags: Edge Analytics, Machine Learning, MLOps This article introduces developers to MLOps and strategies for implementing MLOps on edge devices. comments By Felix Baum, Qualcomm Technologies The lifecycle of traditional software is arguably quite straight forward. At its simplest, you develop, test, and deploy the …
Setting Up Your Data Science & Machine Learning Capability in Python = Previous post Tags: Cloud Computing, Data Science, Machine Learning, Python With the rich and dynamic ecosystem of Python continuing to be a leading programming language for data science and machine learning, establishing and maintaining a cost-effective development environment is crucial to your …
5 Apache Spark Best Practices For Data Science = Previous post Tags: Apache Spark, Best Practices, Data Science Check out these best practices for Spark that the author wishes they knew before starting their project. comments By Zion Badash, Data Scientist @ Wix.com Photo by chuttersnap on Unsplash Why move to Spark? Although we all talk about …
Top Stories, Jul 27 – Aug 2: Computational Linear Algebra for Coders; Awesome Machine Learning and AI Courses = Previous post Tags: Top stories Also: Essential Resources to Learn Bayesian Statistics; Deep Learning for Signal Processing: What You Need to Know; A Tour of End-to-End Machine Learning Platforms; I have a joke about …; …
I have a joke about … = Previous post Tags: Cartoon, Deep Learning, Humor I have a machine learning joke, but it is not performing as well on a new audience. We bring you a selection of the nerdy self-referential computer jokes that were popular on the web recently. By Gregory Piatetsky, KDnuggets. comments …
Scaling Computer Vision Models with Dataflow = Previous post Next post => Tags: Computer Vision, Dataflow, Google, Python, Scalability Scaling Machine Learning models is hard and expensive. We will shortly introduce the Google Cloud service Dataflow, and how it can be used to run predictions on millions of images in a serverless way. comments …
Fuzzy Joins in Python with d6tjoin = Previous post Tags: Data Processing, Pandas, Python Combining different data sources is a time suck! d6tjoin is a python library that lets you join pandas dataframes quickly and efficiently. comments By Norman Niemer, Chief Data Scientist Combining different data sources is a time suck! Combining data …
R squared Does Not Measure Predictive Capacity or Statistical Adequacy = Previous post Tags: Predictive Analytics, Regression, Statistics The fact that R-squared shouldn’t be used for deciding if you have an adequate model is counter-intuitive and is rarely explained clearly. This demonstration overviews how R-squared goodness-of-fit works in regression analysis and correlations, while showing …
5 Big Trends in Data Analytics = Previous post Next post => Tags: Analytics, Blockchain, Data Analytics, NLP, Trends Data analytics is the process by which data is deconstructed and examined for useful patterns and trends. Here we explore five trends making data analytics even more useful. comments By Malcom Ridgers, BairesDev Image by …
Math for Programmers! = Previous post Next post => Tags: Book, Manning, Mathematics, Programming Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50. Sponsored Post. Math is an essential tool for programmers, …