
Google Analytics
Matomo
Mixpanel
Plausible.io
Clicky
Adobe Analytics
Fathom Analytics
Hotjar
TFlearn
Keras
Clarifai
DeepPy
Microsoft Cognitive Toolkit (Formerly CNTK)
Merlin
Knet
Swift Brain
Google Analytics
TFlearnAll the golden insights in one place fro all your store and sites etc , amazing app by google
Based on our record, Google Analytics seems to be a lot more popular than TFlearn. While we know about 36 links to Google Analytics, we've tracked only 2 mentions of TFlearn. 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.
Letโs discuss Google Analytics in particular and other tools in general, which are available online to measure the website performance. Source: almost 3 years ago
Google Analytics: A free tool from Google that provides in-depth website analytics and performance metrics, including traffic sources, user behavior, and conversions. Source: almost 3 years ago
Automating your affiliate marketing has a clear advantage: scalability. As your affiliate network grows, manual management becomes difficult. Automation makes it easier to handle a larger volume of affiliates, communicate with them, and monitor their performance. This means that your affiliate program can grow without sacrificing efficiency. You can also use automation tools to track and report affiliate... Source: almost 3 years ago
Google Analytics: It provides in-depth insights into website traffic, user behavior, conversions, and other important metrics. Source: about 3 years ago
Implement a robust website analytics tool, such as Google Analytics, to track key metrics and gather insights about user behavior. Set up goals and conversion tracking to measure the impact of your website redesign or migration on your business objectives. Source: about 3 years ago
TFLearn โ Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 4 years ago
Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBIโs, and walkโs are all taken into account and passed through layers. Thereโs no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / over 5 years ago
Matomo - Matomo is an open-source web analytics platform
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Clarifai - The World's AI
Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure ๐ช๐บ
DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.