The importance of machine learning, especially when it comes to transforming raw data, cannot be merely put into words. This is why we see organizations relying heavily on it. Machine learning is one of those excellent ways to work smarter and not harder. On that note, have a look at the top 10 machine learning APIs developers need to know in 2022.
ML Kit
ML Kit is one of the best APIs to look out for. Right from storage, to coding skills, ML kit has got it all. With this, tracking events or surveys is not a concern anymore. There is nothing to worry about as generic problems are already solved by this exceptional machine learning tool.
CoLaboratory
How about a tool that boasts of an ability to open access to the developing files? That is exactly what CoLaboratory is all about. With this, you can work in the same file at the same time. Yet another exceptional feature of this API is that you do not have to depend on a local machine here.
TensorFlow
This Google tool is ideal for product development, without a doubt. This AI tool is not just simple but robust as well. TensorFlow boasts of research powers for experimental purposes. TensorFlow supports many programming languages including Python. This AI tool is fast, thus simplifying all those complicated tasks that you wanted to get done.
Cloud AI
Cloud AI is one Google AI tool that has gained recognition for its ability to implement machine learning capabilities into your business so that it is always ready to take on new challenges. With Cloud AI, businesses can use the already available models provided by Google. Well, not just that – they can customize the models as per their liking as well.
Google Open Source
In the days when nobody is in favour of secured and secret code, Google Open Source turns out to be a blessing. This Google AI tool has to be your one-stop destination for creating some really cool and useful projects. One of the many remarkable features of this AI tool is that you can not only test your own code but also all other projects.
Google datasets
Considering how crucial data is and how important it is to make the best of the raw data available; the requirement of a good and balanced dataset is always there. This is where Google datasets come into play. There are many different relevant datasets that serve to be extremely important. Two words that best describe Google datasets – universal and flexible!
Google Cloud Machine Learning Engine
Machine learning forms the base of “Google Cloud Machine Learning Engine”. This AI tool has garnered attention from everywhere across because of its ability to train model on your data. Additionally, you can deploy and manage it as well.
Google datasets search
There is always a possibility that basic datasets aren’t fully good for requested purposes. Well, nothing to worry – Google has got you covered. Google datasets search helps in finding the most relevant and big datasets for almost any task or query.
Cloud TPU
Cloud TPU is that one AI tool that Google makes use of in some of the most popular company products: Calendar, Gmail, etc. Cloud TPU serves to be a way to complete some large code computations with significant performance growth. With this being fast, robust and efficient, one can rely on it without any doubt.
Google assistant
This virtual assistant by Google has won the hearts of billions. Right from scheduling events, searching information on internet, recognizing objects, songs, images, etc, setting alarms to supporting two-way communication, this AI tool has got you covered.
Source: analyticsinsight.net
