By Md. Rezaul Karim
ISBN-10: 1788398920
ISBN-13: 9781788398923
Key Features
- A fast advisor to achieve hands-on adventure with deep studying in numerous domain names equivalent to digit/image class, and texts
- Build your individual clever, predictive versions with TensorFlow utilizing easy-to-follow process pointed out within the book
- Understand deep studying and predictive analytics in addition to its demanding situations and top practices
Book Description
Predictive judgements have gotten a big development around the world catering huge sectors of industries through predicting which judgements usually tend to provide greatest effects. the information mining, facts, computer studying permits clients to find predictive intelligence by way of uncovering styles and displaying the connection one of the established and unstructured facts. This booklet may also help you construct ideas for you to make automatic judgements. in spite of everything song and construct your individual predictive analytics version with assistance from TensorFlow.
This e-book might be divided in 3 major sections.
In the 1st section-Applied arithmetic, statistics, and Foundations of Predictive Analytics; will conceal Linear algebra had to getting began with facts technological know-how in a pragmatic demeanour through the use of the main widespread Python programs. it is going to additionally hide the wanted history in likelihood and knowledge conception that's needs to for info Scientists.
The moment part exhibits tips to boost large-scale predictive analytics pipelines utilizing supervised (classification/regression) and unsupervised (clustering) studying algorithms. It’ll then reveal easy methods to advance predictive types for NLP. eventually, reinforcement studying and suggestion process could be used for constructing predictive models.
The 3rd part covers useful mastery of deep studying architectures for complex predictive analytics: together with Deep Neural Networks (MLP & DBN) and Recurrent Neural Networks for high-dimensional and series facts. eventually, it’ll exhibit tips to enhance Convolutional Neural Networks- dependent predictive versions for emotion reputation, picture type, and sentiment analysis.
So in overall, this booklet can assist you keep watch over the ability of deep studying in diversified fields, supplying most sensible practices and assistance from the true global use situations and is helping you in selection making in response to predictive analytics.
What you are going to learn
- Get good and theoretical realizing of linear algebra, facts, and chance thought for predictive analytics
- Learn sensible predictive analytics utilizing computer studying algorithms (classification, regression, and clustering) so that it will steer clear of pitfalls and fallacies
- Discern the right way to enhance predictive versions for NLP
- Get useful information of deep studying architectures for complex predictive analytics utilizing Deep Neural Networks (MLP and DBN) for predictive analytics
- Emotion reputation, snapshot class, and sentiment research utilizing convolutional neural networks
- Use Recurrent Neural Networks and reinforcement studying for predictive analytics
- Develop advice structures for predictive analytics
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Predictive Analytics with TensorFlow by Md. Rezaul Karim
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