Machine Learning and Data Science with Python : A Complete Beginners Guide /

Machine learning and data science for programming beginners using Python with scikit-learn, SciPy, Matplotlib and Pandas About This Video Learn machine learning and data science using Python A practical course designed for beginners who are interested in machine learning using Python In Detail Artif...

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Bibliographic Details
Main Author: Nelson, Abhilash (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Packt Publishing, 2019.
Edition:1st edition.
Subjects:
Online Access:Connect to this electronic resource
Description
Summary:Machine learning and data science for programming beginners using Python with scikit-learn, SciPy, Matplotlib and Pandas About This Video Learn machine learning and data science using Python A practical course designed for beginners who are interested in machine learning using Python In Detail Artificial intelligence, machine learning, and deep learning neural networks are the most used terms in the technology world today. They're also the most misunderstood and confused terms. Artificial intelligence is a broad spectrum of science which tries to make machines intelligent like humans, while machine learning and neural networks are two subsets that sit within this vast machine learning platform. But in this course, you will focus mainly on machine learning, which will include preparing your machine to make it ready for a prediction test. You will be using Python as your programming language. Python is a great tool for the development of programs that perform data analysis and prediction. It has a variety of classes and features that perform complex mathematical analyses and provide solutions in just a few lines of code, making it easier for you to get up to speed with data science and machine learning. Machine learning and data science jobs are among the most lucrative in the technology industry in recent times. Exploring this course will help you get well-versed with essential concepts and prepare you for a career in these fields.
Item Description:Videorecording.
Physical Description:1 online resource (1 video file, approximately 10 hr., 19 min.)
Format:Mode of access: World Wide Web.