AlgorithmsArtificial intelligence204p bibl index ISBN 9781498705387 cloth, $71.96; ISBN 9781315371658 ebook, $62.97 Machine Learning, a small 200-page book, is meant to serve as "a simple and practical" introduction to readers who are new to the topic. The book also presents some incorrect ...
Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniqu
In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data
COURSE PRESENTATION FORM – ACADEMIC YEAR 2011 / 2012 COURSE NAME Machine Learning: Algorithms and Applications COURSE CODE72065 (MSc 270) / 70189 (BSc, MSc 509) LECTURERFloriano ZiniTEACHING ASSISTANT--TEACHING LANGUAGEEnglishCREDIT POINTS4LECTURE HOURS 24 EXERCISE HOURS12OFFICE HOURS LECTURER During...
Machine learning may also be used to identify some types of diseases. Breast cancer, heart failure, Alzheimer's disease, and pneumonia are some examples of such diseases that can be identified using machine learning algorithms.These are just a few examples of the many applications of machine ...
A decision process. For the most part, machine learning algorithms are used to guess and organize incoming information. Based on the provided data, the algorithm will create a prediction about a pattern within it. An error function. This part of the algorithm assesses the model’s prediction. ...
Yet, a gap still remains between existing algorithms and the practical scenarios above (please refer to the paper for more discussion). To close the gap, the researchers propose a new setting called Deployment-Efficient Reinfo...
Learn what a machine learning algorithm is and how machine learning algorithms work. See examples of machine learning techniques, algorithms, and applications.
Apply machine learning techniques to financial applications Process, analyze, and engineer features from large financial time series data sets, and create predictive financial time series models by training and validating machine learning algorithms. For general information on machine learning, seeMachine L...
This article is an introduction to machine learning, types of ML and ML algorithms. Learn about applications and ML Learning life cycle