HPB Flagship 5803 E Northwest HWY Dallas, TX 75231
Store Hours:
Monday 9 AM -10 PM
Tuesday 9 AM -10 PM
Wednesday 9 AM -10 PM
Thursday 9 AM -10 PM
Friday 9 AM -10 PM
Saturday 9 AM -10 PM
Sunday 9 AM -10 PM
HPB Preston Village 13388 Preston Rd Dallas, TX 75240
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Richardson Heights 100 S Central Expwy Richardson, TX 75080
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Garland 3085 N George Bush Fwy Garland, TX 75040
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Plano 2440 Preston Rd Plano, TX 75093
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Las Colinas 7631 N MacArthur Blvd Irving, TX 75063
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Lewisville 420 E FM 3040 Lewisville, TX 75067
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Frisco 3221 Preston Rd Frisco, TX 75034
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Rockwall 959 E I-30 Rockwall, TX 75087
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB McKinney 3190 S Central Expwy McKinney, TX 75070
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Bedford 713 Harwood Rd Bedford, TX 76021
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB South Arlington 2211 S Cooper St Arlington, TX 76013
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Watauga 7620 Denton Hwy Watauga, TX 76148
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Mansfield 1551 Hwy 287 N Mansfield, TX 76063
Store Hours:
Monday 10 AM -8 PM
Tuesday 10 AM -8 PM
Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
A substantially revised third edition of a comprehensive textbook that covers a broad range of topics not often included in introductory texts.
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.
Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods.