As you are aware, Machine Learning is not a simple task. It has many tasks such as Feature Engineering, Feature Selection, Algorithm Selection, Hyper Tune Parameters, Evaluation etc. Due to these many complexities in the Machine Learning process, machine learning is still a little far away from people who not excellent at Mathematics and Statistics. For example, you are looking for a classification problem, there many algorithms that you can choose such as Decision Trees, Random Forest, Naive Bayes, SVM, ANN etc. Sometimes, you may have to perform this process multiple iterations in order to achieve better results as shown in the following figure.
source: https://towardsdatascience.com/understanding-feature-engineering-part-1-continuous-numeric-data-da4e47099a7b
AutoML or Automated ML or Automated Machine Learning provides, you to submit dataset provide you with a better algorithm and relevant parameters. There are many AutoML frameworks available. Microsoft too has an AutoML framework that is available in the Azure Machine Learning Platform.
By following this link, you can watch videos, research papers on AutoMLdone by Microsoft Research.
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