Create API with ASP.NET Core (Day 4): Working with Serializer Settings And Content Negotiation In ASP.NET Core API


Introduction

This article of the series “Web API with ASP.NET Core” will focus on topics like serializer strings and content negotiation. We learned how to deal with HTTP Status Codes and return sub resources in ASP.NET Core in last article and paused at Serializer Settings. We’ll continue to explore the importance of status codes and practical examples as well. We’ll also explore resource creation and returning the child resources as well in this article. We can use the same source code as we got at the completion of last article of the series.

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Create API with ASP.NET Core (Day 3): Working With HTTP Status Codes In ASP.NET Core API


Introduction

This article of the series “Web API with ASP.NET Core” will focus on topics like returning HTTP Status Codes from API, their importance, and returning sub resources. We learned how to create an API in ASP.NET Core and how to return resources, in last article, and paused at Status Codes. We’ll continue to explore the importance of status codes and practical examples as well. We’ll also explore resource creation and returning the child resources as well in this article. We can use the same source code as we got at the completion of last article of the series.

Continue reading “Create API with ASP.NET Core (Day 3): Working With HTTP Status Codes In ASP.NET Core API”

Machine Learning Processes And Scenarios


Introduction

Things in machine learning are repeated over and over and hence machine learning is iterative in nature. Therefore, to know machine learning, one has to understand the machine learning process. The machine learning process is a bit tricky and challenging. It is very rare that we find the machine learning process easy. The reason for it being so complex is very clear – a large amount of complex data is involved in this process and out of which we try to find out meaningful predictive patterns and model. That’s why, as I mentioned in my last article that this is dealt by data scientists who are actually specialists in this space. In my last article, I also mentioned how rewarding a machine learning process could be. The benefits out of this process could be outstanding, but we should also keep in mind that the process may not always succeed but can fail, but that’s too rare. Let’s focus on the processes and scenarios used in Machine learning in this article.

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