Android Studio
Xcode
Microsoft Visual Studio
IntelliJ IDEA
Visual Studio Code
Sublime Text
PyCharm
Netbeans
Google CLOUD AUTOML
Qubole
BigML
TensorFlow
machine-learning in Python
Scikit-learn
RapidMiner
AWS SageMaker Ground Truth
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Based on our record, Android Studio seems to be a lot more popular than Google CLOUD AUTOML. While we know about 160 links to Android Studio, we've tracked only 6 mentions of Google CLOUD AUTOML. 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.
For Android development, download and install Android Studio. - Source: dev.to / 12 days ago
Adb stands for Android Debug Bridge. It's a part of SDK Platform Tools, which is bundled with Android Studio. - Source: dev.to / 24 days ago
Android Studio, the official IDE (Integrated Development Environment) for Android app development, seamlessly integrates with Flutter through a powerful plugin. This combination provides a feature-rich environment specifically tailored for building Flutter applications. - Source: dev.to / 24 days ago
Android Studio & SDK tools, IDE used for building and testing Android apps and used to create a TV app emulator. - Source: dev.to / about 2 months ago
Android Studio or IntellijIDEA (configured for Android development) installed and working in your machine. - Source: dev.to / 2 months ago
There are several no-code AI websites that you can use like Amazon SageMaker, Apple CreateML or Google AutoML. Source: over 1 year ago
GCP, on the other hand, offers two top options: Google Cloud AutoML, for beginners, and Google Cloud Machine Learning Engine, for handling tasking projects. GCP also provides Tenserflow and Vertex AI complicated machine learning abilities. - Source: dev.to / over 1 year ago
Just outsource the work to Google or Amazon. Source: almost 3 years ago
We can also note the appearance of Machine Learning, creating dynamic processes over data that would have been tedious to analyse, either by hand or through specific code. This enables writing potentially complex behaviours with a few lines of code in some cases. Even then, there is some automation of it to the point where you only have to provide data to get working results. - Source: dev.to / about 3 years ago
You might want to check out automl Google AutoML. Source: almost 3 years ago
Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.