Exploring Machine Learning A Beginners Perspective

Download Exploring Machine Learning A Beginners Perspective full books in PDF, epub, and Kindle. Read online free Exploring Machine Learning A Beginners Perspective ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Exploring Machine Learning: A Beginners Perspective

Exploring Machine Learning: A Beginners Perspective
Author :
Publisher : Horizon Books ( A Division of Ignited Minds Edutech P Ltd)
Total Pages :
Release :
ISBN-10 : 9789391150013
ISBN-13 : 9391150012
Rating : 4/5 (012 Downloads)

Book Synopsis Exploring Machine Learning: A Beginners Perspective by : Dr. Raghuram Bhukya

Download or read book Exploring Machine Learning: A Beginners Perspective written by Dr. Raghuram Bhukya and published by Horizon Books ( A Division of Ignited Minds Edutech P Ltd). This book was released on 2021-04-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is a field of Artificial intelligence that provides algorithms those can learn and improve from experiences. Machine learning algorithms are turned as integral parts of today’s digital life. Its applications include recommender systems, targeted campaigns, text categorization, computer vision and auto security systems etc. Machine learning also considered as essential part of data science due to its capability of providing predictive analytics, capability in handling variety of data and suitability for big data applications. Its capability for predictive analytics resulted of its general structure that is building statistical models out of training data. In other hand easy scalability advantage of machine learning algorithms is making them to be suitable for big data applications. The different types of learning algorithms includes supervised learning, unsupervised learning, reinforcement learning, feature learning, rule based learning, Robot or expert system learning, sparse dictionary and anomaly detection. These learning algorithms can be realized by computing models artificial neural networks, decision trees, support vector machines, regression analysis, Bayesian networks, Genetic algorithms and soft computing. The familiar tools to implement machine learning algorithms include Python, R, Matlab, Scala, Clojure and Ruby. Involving of such open source programming languages, tools and social network communities makes the machine learning most progressing filed of computer science. The machine learning life cycle includes defining project objectives, explore the types and format, modeling data to fit for machine learning algorithms, deciding suitable machine learning model and implement and decide best result from data for decision making. These days, machine learning is observing great interest by the society and it has turned as one of the significant responsibility of top level managers to transform their business in the profitable means by exploring its basic functionalities. The world is at the sheer of realizing a situation where machines will work in agreement with human being to work together, operation, and advertise their services in a novel way which is targeted, valuable, and well-versed. In order to achieve this, they can influence machine learning distinctiveness. Dr. Raghuram Bhukya


Exploring Machine Learning: A Beginners Perspective Related Books

Exploring Machine Learning: A Beginners Perspective
Language: en
Pages:
Authors: Dr. Raghuram Bhukya
Categories: Computers
Type: BOOK - Published: 2021-04-20 - Publisher: Horizon Books ( A Division of Ignited Minds Edutech P Ltd)

DOWNLOAD EBOOK

Machine learning is a field of Artificial intelligence that provides algorithms those can learn and improve from experiences. Machine learning algorithms are tu
Foundations of Machine Learning, second edition
Language: en
Pages: 505
Authors: Mehryar Mohri
Categories: Computers
Type: BOOK - Published: 2018-12-25 - Publisher: MIT Press

DOWNLOAD EBOOK

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machin
Machine Learning
Language: en
Pages: 1102
Authors: Kevin P. Murphy
Categories: Computers
Type: BOOK - Published: 2012-08-24 - Publisher: MIT Press

DOWNLOAD EBOOK

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic d
Machine Learning for Finance
Language: en
Pages: 218
Authors: Saurav Singla
Categories: Computers
Type: BOOK - Published: 2021-01-05 - Publisher: BPB Publications

DOWNLOAD EBOOK

Understand the essentials of Machine Learning and its impact in financial sector KEY FEATURESÊ _Explore the spectrum of machine learning and its usage. _Unders
Physics for Mathematicians
Language: en
Pages: 733
Authors: Michael Spivak
Categories: Mechanics
Type: BOOK - Published: 2010 - Publisher:

DOWNLOAD EBOOK