Throughout this book, you've gained experiences that form the technical foundations for professional work in deep learning projects. However, the scope of the book was such that our focus could only be on a subset of the entire production-scale data science pipeline. We spent our time in the context of a business use case to ground our thinking on the domain and success criteria, but quickly dove into deep-learning model training, evaluation, and validation. These components, comprising the bulk of the training in our projects, are certainly the core of a data science pipeline for an enterprise, but cannot function in a vacuum. Additional considerations and training in AI strategy and data science platforms are the natural next steps in your education and career.
United States
Great Britain
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Singapore
Hungary
Ukraine
Luxembourg
Estonia
Lithuania
South Korea
Turkey
Switzerland
Colombia
Taiwan
Chile
Norway
Ecuador
Indonesia
New Zealand
Cyprus
Denmark
Finland
Poland
Malta
Czechia
Austria
Sweden
Italy
Egypt
Belgium
Portugal
Slovenia
Ireland
Romania
Greece
Argentina
Netherlands
Bulgaria
Latvia
South Africa
Malaysia
Japan
Slovakia
Philippines
Mexico
Thailand