Chapman & Hall Design Of Intelligent Applications Using Machine Learning And Deep Learning Techniques Large 09780367679798
£116.00
Product Description
Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4. 0 and allied areas and are considered as the future of computing. A subfield called neural networks to recognize and understand patterns in data helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated – bringing in practical applications in many fields such as health care agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today ML and DL have created conditions for potential developments in detection and prediction. Apart from these domains ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4. 0 including: · Fundamental models issues and challenges in ML and DL. · Comprehensive analyses and probabilistic approaches for ML and DL. · Various applications in healthcare predictions such as mental health cancer thyroid disease lifestyle disease and cardiac arrhythmia. · Industry 4. 0 applications such as facial recognition feather classification water stress prediction deforestation control tourism and social networking. · Security aspects of Industry 4. 0 applications suggest remedial actions against possible attacks and prediction of associated risks. Information is presented in an accessible way for students researchers and scientists business innovators and entrepreneurs sustainable assessment and management professionals. This book equips readers with a knowledge of data analytics ML and DL techniques for applications defined under the umbrella of Industry 4. 0. This book offers comprehensive coverage promising ideas and outstanding research contributions supporting further development of ML and DL approaches by applying intelligence in various applications. | Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Chapman & Hall Design Of Intelligent Applications Using Machine Learning And Deep Learning Techniques Large 09780367679798
Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4. 0 and allied areas and are considered as the future of computing. A subfield called neural networks to recognize and understand patterns in data helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated – bringing in practical applications in many fields such as health care agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today ML and DL have created conditions for potential developments in detection and prediction. Apart from these domains ML and DL are found useful in analysing the social behaviour of humans. With the advancements in the amount and type of data available for use it became necessary to build a means to process the data and that is where deep neural networks prove their importance. These networks are capable of handling a large amount of data in such fields as finance and images. This book also exploits key applications in Industry 4. 0 including: · Fundamental models issues and challenges in ML and DL. · Comprehensive analyses and probabilistic approaches for ML and DL. · Various applications in healthcare predictions such as mental health cancer thyroid disease lifestyle disease and cardiac arrhythmia. · Industry 4. 0 applications such as facial recognition feather classification water stress prediction deforestation control tourism and social networking. · Security aspects of Industry 4. 0 applications suggest remedial actions against possible attacks and prediction of associated risks. Information is presented in an accessible way for students researchers and scientists business innovators and entrepreneurs sustainable assessment and management professionals. This book equips readers with a knowledge of data analytics ML and DL techniques for applications defined under the umbrella of Industry 4. 0. This book offers comprehensive coverage promising ideas and outstanding research contributions supporting further development of ML and DL approaches by applying intelligence in various applications. | Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Related Products
£104.00
£130.00
Routledge
£47.99
£59.99
Routledge
£112.00
£140.00
Routledge
£49.59
£61.99
Routledge
£36.79
£45.99
Routledge
£88.00
£110.00
Routledge
£67.99
£84.99
Routledge
£120.00
£150.00
Routledge
£104.00
£130.00
Routledge
£52.23
£71.99
Amazon
Delivery, Returns & Refunds
Delivery
Sellers offer a range of delivery options, so you can choose the one that’s most convenient for you. Many sellers offer free delivery. You can always find the postage cost and estimated delivery date in a seller’s listing. You'll then be able to see a full list of delivery options during checkout. These can include: Express delivery, Standard delivery, Economy delivery, Click & Collect, Free local collection from seller.
Returns
Your options for returning an item vary depending on what you want to return, why you want to return it, and the seller's return policy. If the item is damaged or doesn't match the listing description, you can return it even if the seller's returns policy says they don't accept returns. If you've changed your mind and no longer want an item, you can still request a return, but the seller doesn't have to accept it. If the buyer changes their mind about a purchase and wants to return an item, they may need to pay return postage costs, depending on the seller's return policy. Sellers can provide a return postage address and additional return postage information for the buyer. Sellers pay for return postage if there's a problem with the item. For example, if the item doesn't match the listing description, is damaged or defective or is counterfeit. By law, customers in the European Union also have the right to cancel the purchase of an item within 14 days beginning from the day you receive, or a third party indicated by you (other than the carrier) receives, the last good ordered by you (if delivered separately). This applies to all products except for digital items (e.g. Digital Music) that are provided immediately to you with your acknowledgement, and other items such as video, DVD, audio, video games, Sex and Sensuality products and software products where the item has been unsealed.
Refunds
Sellers have to offer a refund for certain items only if they are faulty, such as: Personalised items and custom-made items, Perishable items, Newspapers and magazines, Unwrapped CDs DVDs and computer software. If you used your PayPal balance or bank account to fund the original payment, the refunded money will go back to your PayPal account balance. If you used a credit or debit card to fund the original payment, the refunded money will go back to your card. The seller will effect the refund within three working days but it may take up to 30 days for Paypal to process the transfer. For payments funded partially by a card and partially by your balance/bank, the money taken from your card will go back to your card and the remainder will return to your PayPal balance.