Section 3: Data Modeling
This section summarizes the most common machine learning algorithms. It describes the logic of each algorithm, when to use each of them, and how to tune their hyperparameters.
This section contains the following chapters:
Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.
Read more about Somanath Nanda
Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.
Read more about Weslley Moura
This section summarizes the most common machine learning algorithms. It describes the logic of each algorithm, when to use each of them, and how to tune their hyperparameters.
This section contains the following chapters:
Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.
Read more about Somanath Nanda
Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.
Read more about Weslley Moura