TY  - BOOK
AU  - Chapmann, Joshua
TI  - Machine learning algorithms: fundamental algorithms for supervised and unsupervised learning 
SN  - 9781548307752
AV  - Q 325.5 .C43 2017 
PY  - 2017///
CY  - [Place of publication not identifed]
PB  - Independently published
KW  - MACHINE LEARNING
N1  - Machine learning algorithms :, Machine
N2  - Computers can't LEARN... Right?!  Machine Learning is a branch of computer science that wants to stop programming computers using a list of detailed instructions and instead use a set of high-level commands which they can apply to many unknown scenarios - these are called algorithms.    In practice, they want to give computers the ability to Learn and to ADAPT.  We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before (or even knew existed). Unfortunately, the true power and applications of today's Machine Learning Algorithms is misunderstood by most people.    The book shed light on the most relevant Machine Learning Algorithms used in the industry: Supervised Learning Algorithms (K-Nearest Neighbour, Na ve Bayes, Regressions) and Unsupervised Learning Algorithms (Support Vector Machines and Decision Trees)
ER  -