
AWS Personalize
Scikit-learn
machine-learning in Python
Google Cloud TPU
python-recsys
Amazon Forecast
Qubole
Microsoft Recommendations API
Waydev
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OKAY HQ
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Waydev helps managers to move from a feeling driven to a data-driven approach. Waydev includes concrete metrics for your daily stand-ups, 1-to-1 meetings, checking the history of the engineers work and benchmarking your stats with the industry.
AWS Personalize
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Based on our record, AWS Personalize should be more popular than Waydev. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
E-commerce Personalization: Platforms analyze user behavior to recommend products, creating personalized shopping experiences. Here is a service I can recommend for recommendations Amazon Personalize. - Source: dev.to / over 1 year ago
Amazon personalize Amazonโs recommendation system is one of the best recommendation systems in existence. While Amazon hasnโt open sourced its recommendation model, you can still gain access to their algorithm by paying a nominal fee. You can tune it using your own data and use it in production. Companies like LOTTE, Discovery, etc., also use Amazon Personalize to power their recommendation system. You can find... - Source: dev.to / almost 2 years ago
Solution Using AI APIs:To address this issue, the platform integrated Amazon Personalize, an AI API from Amazon Web Services (AWS), to implement personalized recommendation features. Amazon Personalize uses machine learning algorithms to analyze user behavior and preferences, generating individualized product recommendations. The integration process involved:. - Source: dev.to / about 2 years ago
Over the past few months I've been spending a fair amount of time working on personalization, leveraging one of my new favorite AWS services - Amazon Personalize. Needless to say there is much more that goes into building and launching a personalization system than just turning on a few services and feeding in some data. In this article I'll focus on what it takes to launch a new personalization strategy, and... - Source: dev.to / almost 3 years ago
Check this out https://aws.amazon.com/personalize/. Source: over 3 years ago
For example, in our traditional approach, every step and process is defined and has to be adhered to. Any change has to go through multiple approvals. The scope in itself has a very limited scope or flexibility towards change. I am on the fence looking for resources and tools that will help to slowly execute and implement these changes. With regards to resources, I am currently looking at the scrum guide and with... Source: about 4 years ago
When youโre ready to translate data into greater visibility, and this visibility into faster, more efficient teams, you can start looking at development analytics platforms like Waydev. - Source: dev.to / almost 5 years ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
machine-learning in Python - Do you want to do machine learning using Python, but youโre having trouble getting started? In this post, you will complete your first machine learning project using Python.
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.