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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 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
Enter React, React Native, and Expo. By unifying our development stack, we streamlined our workflow considerably. Yet, one crucial piece was missing: a comprehensive library for essential tasks like icons and components. As we delved further into our development journey, we realized there were more gaps to fill, including robust boilerplates and other essential necessities. - Source: dev.to / 10 days ago
The best option is probably Flutter right now: https://flutter.dev/ If you don't mind writing the UI native, sharing only business logic code, Kotlin is an option: https://kotlinlang.org/docs/multiplatform.html#kotlin-multiplatform-use-cases Kotlin also can do the UI if you use Compose: https://www.jetbrains.com/lp/compose-multiplatform/ ... however, iOS support is still in alpha, and Web is "experimental". If... - Source: Hacker News / 14 days ago
On my last post I talked about how I recently started learning react native to build an idea I've had for a mobile app, this time around I want to dive a little deeper into react native. - Source: dev.to / 17 days ago
I know, real original 🙄, but I had to as this is my inaugural post on Dev.to! I've been toying with the idea of writing a blog for some time now, and figured since I'm starting a new project, this is the best time for it. I've been somewhat familiar with React.js for a while now and wanted to make the jump over to React Native to capitalize on an idea I've had for a few years. I'll be blogging about the progress... - Source: dev.to / 18 days ago
There was always a tiny sparkle in me telling me that I want to develop mobile apps but I never pursued it. It always felt a bit complicated for me to learn development processes in a completely different industry. I did try developing mobile apps using React Native but it never felt right for me. Also, I already tried to write some Kotlin code and so far I like it, but the whole Android ecosystem is still pretty... - Source: dev.to / about 1 month ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
jQuery - The Write Less, Do More, JavaScript Library.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
Flutter - Build beautiful native apps in record time 🚀
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
Babel - Babel is a compiler for writing next generation JavaScript.