How to overcome the challenges of ML model development
To learn more about ML model development, visit: circleci.com/blog/top-7-challenges-of-ml-model-development/
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Machine Learning
The Leading MLOps Tools
MLOps stands for Machine Learning Operations. MLOps refers to the set of practices and tools that facilitate the end-to-end lifecycle management of machine learning models, from development and training to deployment and monitoring. The primary objective of MLOps tools is to address the unique challenges associated with deploying and managing machine learning models in real-world scenarios.
Hacking our Way Towards ML-first Jupyter Notebooks - Civo Navigate NA 2023
In this Navigate 2023 talk, Matt Dupree discusses various challenges in data work and machine learning and proposes potential solutions. He highlights the importance of static analysis to address the problem of refactoring in data notebooks. Dupree emphasizes the need for automated testing workflows using IPython's hooks and profiles to minimize errors and missed opportunities. Furthermore, he suggests the development of Jupyter Bridge plugins to alleviate the repetitive typing of code and simplify the interaction between Python and JavaScript.
Netdata & Ansible example: ML demo room
We are always trying to lower the barrier to entry when it comes to monitoring and observability and one place we have consistently witnessed some pain from users is around adopting and approaching configuration management tools and practices as your infrastructure grows and becomes more complex. To that end, we have begun recently publishing our own little example ansible project used to maintain and manage the servers used in our public Machine Learning Demo room.
8 Important Things You Should Know About The Tech Used In The Food Industry
Are you curious about the technology that powers the food industry? From farm to fork, the use of cutting-edge tech has revolutionized how we produce, process, and consume our favorite meals. Whether you're a food enthusiast, a health-conscious individual, or simply intrigued by the latest innovations, understanding the role of technology in the food industry is vital. In this blog post, we'll explore eight important things you should know about the tech used in the food industry.
How Technological Advancements Transform Hiring Processes and Decisions
Technology has forever changed the landscape of businesses, especially in terms of HR practices. From hiring to onboarding and beyond, technological advancements have drastically altered the way companies develop their teams and make decisions. Automated technologies can help streamline processes, improve accuracy around evaluating job candidates, simplify communication and collaboration between colleagues globally-the list goes on! To better understand how technology influences human resources today and into the future, let's take a closer look at how far it has come already in transforming different stages within the typical hiring process.
ML Observability: what, why, how
Note: This post is co-authored by Simon Aronsson, Senior Engineering Manager for Canonical Observability Stack. AI/ML is moving beyond the experimentation phase. This involves a shift in the way of operating because productising AI involves many sophisticated processes. Machine learning operations (MLOps) is a new practice that ensures ML workflow automation in a scalable and efficient manner. But how do you make MLOps observable?
Top 8 Emerging Technology Trends for 2023
The state of technology is always changing. We are seeing new technological developments every day as a result of several things, such as improvements in research and development, the introduction of new goods and services, and modifications in customer preferences and requirements. The rapid development of artificial intelligence (AI) and machine learning is only one instance of how technology is evolving daily. These technologies are being utilized to increase productivity and decision-making across a range of sectors, including healthcare, banking, and retail.
Safeguarding Cryptocurrency Exchanges: The Power of Machine Learning Monitoring
Bitcoin and Coinbase have been in some hot water lately. How they handle cryptocurrency might not be legal or safe. The lack of regulations is causing concern from the government about potential criminal activity, fraud, and money laundering. The good news? Rules are being implemented for crypto exchanges to stop corrupt events from happening. Regulations like Know Your Customer (KYC) are an absolute must for exchanges to keep operating legally.
Solving the top 7 challenges of ML model development with CircleCI
Amid an AI boom and developing research, machine learning (ML) models such as OpenAI’s ChatGPT and Midjourney’s generative text-to-image model have radically shifted the natural language processing (NLP) and image processing landscape. Due to this new and powerful technology, developing and deploying ML models has quickly become the new frontier for software development.