Using Statistics for Data Science, get a strong statistics base for data science and real-world programs. Learn all about probability, statistics, numerical computations, and more with the help of R programs. (Limited-time offer)
Topics included: Transitioning from data developer to data scientist • Declaring the objectives • A developer’s approach to data cleaning • Data mining and the database developer • Statistical analysis for the database developer • Database progression to database regression • Regularization for database improvement • Database development and assessment • Databases and neural networks • Boosting your database • Database classification using support vector machines • Database structures and machine learning.
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Publisher: Packt Publishing
Published: Nov 2017
File size: –
Number of pages: 286
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