BugHerd
Marker.io
Usersnap
Userback
Pastel
Bird Eats Bug
Bugasura
Bugfender
machine-learning in Python
Scikit-learn
BigML
Google Cloud TPU
python-recsys
Qubole
Amazon Forecast
Microsoft Bing Image Search API
BugHerd is the world's leading website feedback and bug-tracking tool. Globally, thousands of leading agencies and marketing teams love it for the ease and collaboration it brings to their website projects.
BugHerd has revolutionised the way agencies collect and manage website feedback from clients and internal teams. It is perfect for teams and individuals involved in website design and development. With BugHerd you can easily pin feedback directly to specific elements of the web pages. It acts as a transparent layer on the website that is visible only to you and your team. Submitted feedback and bugs are sent to a central Kanban task board that provides all stakeholders with full visibility of the project.
Get started in 3 easy steps:
STEP 1
Go to bugherd.com and click Start 14-day Free trial.ย
STEP 2
Sign up to create your first project. You can test BugHerd out on any website. It will only be visible to you.
STEP 3
And voila! You can start collecting feedback and invite others to try it out with you. Itโs that simple.
BugHerd machine-learning in PythonBugHerd is particularly recommended for web development teams, digital agencies, and product managers who are responsible for maintaining and improving websites. It is also a great fit for teams who work closely with clients and require an easy way to collect and manage client feedback directly in the context of the website in question.
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machine-learning in Python might be a bit more popular than BugHerd. We know about 7 links to it since March 2021 and only 5 links to BugHerd. 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.
Solutions like https://bugherd.com/ might make the issue context capture part more accurate. - Source: Hacker News / 4 months ago
This is a great idea, but scanning through appears to be basically https://bugherd.com/ ? Source: over 3 years ago
Competitors There are a few competitors out there that do something very similar (see https://ruttl.com/, https://usepastel.com/, https://bugherd.com/, https://www.markup.io/). This seems to suggest that there seems to be a general market for such a product. Source: over 3 years ago
Currently using BugHerd for web QA (love it) and looking for something similar for email. Source: over 3 years ago
Bugherd is good for this. Used it extensively when I worked for a web agency and it saved so much time. https://bugherd.com/. - Source: Hacker News / almost 4 years ago
After that you should probably look at some very basic ML tutorials. I just googled it, I have no idea if this is good https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 3 years ago
Few different approaches based on search engine 'ml with python': Work though use cases / examples : https://www.databricks.com/resources/ebook/big-book-of-machine-learning-use-cases On-line class(es) / step by step projects: * https://bootcamp-sl.discover.online.purdue.edu/ai-machine-learning-certification-course * https://www.w3schools.com/python/python_ml_getting_started.asp *... - Source: Hacker News / over 3 years ago
MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally wonโt make you hireable unless youโre doing a PhD and/or are a genius) Plus: 1. https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ 2. https://www.coursera.org/learn/machine-learning 3. https://www.3blue1brown.com/topics/neural-networks. Source: over 4 years ago
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 4 years ago
Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 4 years ago
Marker.io - Visual feedback and bug reporting tool for websites
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Usersnap - Usersnap is a customer feedback software for SaaS companies that need to constantly improve and grow their products.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Userback - Userback empowers product teams to collect, understand, and act on user feedback with unprecedented speed and clarity.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
