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Intercom provides a lot of value to us. From live chat to email marketing and even helping us to create support documentation, Intercom handles a lot of key moving parts that are essential to keeping customers happy.
machine-learning in Python might be a bit more popular than Intercom. We know about 7 links to it since March 2021 and only 6 links to Intercom. 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.
Use chatbots to automate customer service: Chatbots use natural language processing to communicate with customers and answer their questions. By integrating chatbots into your affiliate marketing strategy, you can automate customer service and increase engagement with potential customers. This can lead to more sales and higher commissions. (Crisp, Intercom). Source: over 1 year ago
I am trying to create an application that will work on a customer's website. Much like tawk.to or intercom.com. Source: almost 2 years ago
My way of doing marketing starts with figuring out what my overall project will (or will not) be. In this case, I looked at the vendors like Zendesk, Intercom, Freshdesk, or Help Scout. They all have whizbang features such as live-chat, collaboration stuffs, automations and workflows. They bill per contact and addons. I’d emphasize a straightforward, fuss-free angle instead. Source: about 2 years ago
I wanted to know the best practices of developing a widget. So I went through the popular implementations of it. I liked Intercom's widget very much. It is written in React. I analyzed how it works. The minimal javascript is loaded async on the webpage. It is injecting an iframe with id intercom-frame. That iframe has a script in it's head with a source URl. Obviously it is React bundle. Source: about 2 years ago
If you're looking at it to guide new users through onboarding, Intercom is pretty good. Source: about 2 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: about 1 year 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 1 year ago
MLE: ALL OF THE ABOVE (this is important - pure machine learning skills generally won’t make you hireable unless you’re 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: about 2 years ago
Have you seen this? https://machinelearningmastery.com/machine-learning-in-python-step-by-step/. Source: over 2 years ago
Machine learning models Fine-tune existing machine learning models for improved accuracy, or create your own custom models. - Source: dev.to / over 2 years ago
Zendesk - Zendesk is a beautiful, lightweight help-desk solution.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Drift - A messaging app that helps you grow your business.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.