As we all know AutoML or Automated Machine Learning is the process of making the system learn .using the past data and in future it makes predictions of its own.
So where does AutoML come in this picture?
Automated Machine Learning
Auto machine learning is an advanced shift in the field of machine learning and data science.
The concept came into action as applying the traditional machine learning methods to real world solutions is a time consuming task.
To Make this task work we need skill and experience from experts and from different fields. Well AutoML comes in the picture that makes everything easy for the experts.
also, AutoML involves automating the process of applying machine learning to real -world problems to generate ML solutions without having to do endless searches of data preparation, data cleansing, model building that are very important.
How AutoML works?
Let us assume that the Company identified a problem and they called their Machine learning engineers team. The team gets to the root cause of the problem and arrives at a predictive analytics solution.
The traditional workflow involves the following task for the engineers team to arrive at a solution.
The Workflow is complex-
however, This will be tasks the engineers team performs-
As we can see, It is a long process and takes much time. This Long Process is changed using AutoML.
The Minimized Workflow-
This process we are looking at is the Automl. As we can see the steps that take place between data acquisition and prediction – abstracted by the AutoML.The company can bring their dataset then identify labels and then automate the settings.
Then the trained and optimized machine learning model predicts. the steps performed by the autoML – performed behind the scene.
it gives the companies to work on the problem other than this. Today, there are many companies like Google and others promising to automate machine learning tasks.
Importance of AutoML
- AutoML helps companies and organizations to use machine learning solutions without spending time and money for finding all experts and giving better results.
- Many businesses from all industries like banking, finance, marketing and healthcare of any size can use this technology of AI and AutoML with ease.
- With the help of AutoMl , the experts of this field as data scientists can now focus more on problems that matter the most instead of cleaning the data, training the models or any other tasks
As we know what AutoMl is and how it works, now we will focus on the particular tasks performed by AutoML.
Things that we can automate using AutoML?
As we all know in machine learning and data science we require experts for tuning the algorithms. To achieve the right goal we require to tune several parameters. An Expert’s job is to fine-tune all the parameters to find the desired results.We will see some tasks automated using AutoML.
- Model Selection
The experts run the same data through different algorithms having different hyperparameters for selecting the right model. All this process helps us to determine which algorithm is best for the dataset. But in AutoML it Automates the whole process of model selection by its own without any human interaction.
- Feature Selection
With a predetermined domain of all inputs, some tools help us to automate the whole process of selecting the most relevant features of the domain.
- Training the dataset
What Machine learning engineers do is pre train the dataset to find the right pattern and see that the data makes right predictions. But AutoMl helps by pretraining the model for predicting the results in future using the same dataset.
Now we will see the best in industry tools used for auto machine learning.
- Auto-Sklearn
Auto-sklearn is built using the scikit-learn library for machine learning which helps us to get results for supervised machine learning models. so, It helps us to search the best algorithms for datasets and can also help in hyperparameter tuning.
- H2OAutoML
open-source tool used for automating machine learning modules. It is a distributed in-memory machine learning platform. It can help us with tuning different machine learning models and training.
- Auto-Keras
Auto-Keras – an open-source and free platform to use a library. developed by datalab and Texas A&M University. widely Used library that uses AutoML. It helps us in automatically searching the architectures and hyperparameters for deep learning models.
Conclusion
The demand for data scientists and machine learning engineers was projected to increase by more than 60% in 2019. A lot of organizations believe that hiring talented machine learning engineers is a tough job because they are expensive. So AutoML is a solution for companies to find a way to bridge the gap that exists in the data science industry.
Not every data scientist but the one with less skills will get affected with this. As AutoML helps to do some tasks the high priority tasks can be done by machine learning earning engineers.
Article by: Prakash Mandekar
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