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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHER -----·> Packt Publishing
·-- LECTURESHIP ---·> Python Machine Learning - Part 1
·-- LECTURE DATE --·> 05-2017
01-2017 {Published}
·-- PERIOD in HRS--·> 03+
·-- SCALE ---------·> 09x50mb
·-- LECTURE LINK --·> https://goo.gl/ALJg1A
Unlock deeper insights into Machine Leaning with this vital guide to
cutting-edge predictive analytics
About This Video
Leverage PythonÆs most powerful open source libraries for deep learning,
data wrangling, and data visualization
Get to know effective strategies and best practices to improve and
optimize machine learning systems and algorithms
Askùand answerù tough questions of your data with robust statistical
models, built for a range of datasets
In Detail
Machine learning and predictive analytics are transforming the way that
businesses and other organizations operate. Being able to understand
trends and patterns in complex data is critical to success, and is
becoming one of the key strategies for unlocking growth in a challenging
contemporary marketplace. Python can help you deliver key insights into
your data. Its unique capabilities as a language let you build
sophisticated algorithms and statistical models that can reveal new
perspectives and answer key questions that are vital for success.
This video gives you access to the world of predictive analytics and
demonstrates why Python is one of the worldÆs leading data science
languages. If you want to ask better questions of data, or need to
improve and extend the capabilities of your machine learning systems,
this practical data science courseis invaluable. It coversa wide range
of powerful Python libraries, including scikit-learn, Theano, and Keras,
and featuresguidance and tips on everything from sentiment analysis to
neural networks. With this video,youÆll soon be able to answer some of
the most important questions facing you and your organization.