Cargando…

Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /

While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal loggi...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Prosise, Jeff (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge : O'Reilly, [2023]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

LEADER 00000cam a22000007i 4500
001 OR_on1350708439
003 OCoLC
005 20231017213018.0
006 m o d
007 cr cnu---unuuu
008 221114s2023 maua o 001 0 eng d
040 |a YDX  |b eng  |e rda  |c YDX  |d ORMDA  |d OCLCF  |d N$T  |d YDX  |d OCLCO 
019 |a 1350803512 
020 |a 9781492098027  |q electronic book 
020 |a 1492098027  |q electronic book 
020 |z 1492098051 
020 |z 9781492098058 
029 1 |a AU@  |b 000072937696 
035 |a (OCoLC)1350708439  |z (OCoLC)1350803512 
037 |a 9781492098041  |b O'Reilly Media 
050 4 |a Q325.5  |b .P76 2023 
082 0 4 |a 006.31  |2 23/eng/20221115 
049 |a UAMI 
100 1 |a Prosise, Jeff,  |e author. 
245 1 0 |a Applied machine learning and AI for engineers :  |b solve business problems that can't be solved algorithmically /  |c Jeff Prosise. 
264 1 |a Cambridge :  |b O'Reilly,  |c [2023] 
300 |a 1 online resource :  |b color illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
520 |a While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company. Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There's no fluff and no scary equations--just a fast start for engineers and software developers, complete with hands-on examples. This book helps you: Learn what machine learning and deep learning are and what they can accomplish Understand how popular learning algorithms work and when to apply them Build machine learning models in Python with Scikit-Learn, and neural networks with Keras and TensorFlow Train and score regression models and binary and multiclass classification models Build facial recognition models and object detection models Build language models that respond to natural-language queries and translate text to other languages Use Cognitive Services to infuse AI into the apps that you write. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Machine learning. 
650 0 |a Artificial intelligence. 
650 6 |a Apprentissage automatique. 
650 6 |a Intelligence artificielle. 
650 7 |a artificial intelligence.  |2 aat 
650 7 |a Artificial intelligence  |2 fast 
650 7 |a Machine learning  |2 fast 
776 0 8 |i Print version:  |z 1492098051  |z 9781492098058  |w (OCoLC)1322366332 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781492098041/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a YBP Library Services  |b YANK  |n 303250265 
938 |a EBSCOhost  |b EBSC  |n 3453559 
938 |a YBP Library Services  |b YANK  |n 18209460 
994 |a 92  |b IZTAP