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61
Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases
by
Rothman, Denis
Published 2018
Packt Publishing
Subjects:
“
...
COMPUTERS
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
Q336
Read Now
62
Transformers for Natural Language Processing : Build Innovative Deep Neural Network Architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and More
by
Rothman, Denis
Published 2021
Packt Publishing, Limited
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
Q336
Read Now
63
Generative AI with Python and TensorFlow 2 : harness the power of generative models to create images, text, and music
by
Babcock, Joseph
Published 2021
Packt Publishing, Limited
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
Q335
Read Now
64
Neural networks with R : smart models using CNN, RNN, deep learning, and artificial intelligence principles
by
Ciaburro, Giuseppe
,
Venkateswaran, Balaji
Published 2017
Packt Publishing
Subjects:
“
...
COMPUTERS
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA76.73.R3
Read Now
65
Pentaho 3.2 data integration : beginner's guide : explore, transform, validate, and integrate your data with ease
by
Roldán, María Carina
Published 2010
Packt Pub.
Subjects:
“
...
COMPUTERS
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA76.9.D338
Read Now
66
Professional HTML5 mobile game development
by
Rettig, Pascal K.
Published 2012
WIley Pub. Inc.
Subjects:
“
...
COMPUTERS
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA76.76.C672
Read Now
67
Decoding blockchain for business : understand the tech and prepare for the blockchain future
by
Hijfte, Stijn van
Published 2020
Apress
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA76.9.B56
Read Now
68
Self-service AI with Power BI Desktop : machine learning insights for business
by
Ehrenmueller-Jensen, Markus
Published 2020
Apress L.P.
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
HF5548.2
Read Now
69
Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
by
Subramanian, Vishnu
Published 2018
Packt Publishing
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA76.87
Read Now
70
Coherent systems
by
Schlechta, Karl
Published 2004
Elsevier
Subjects:
“
...
COMPUTERS
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
Q339.2
Read Now
71
Practical machine learning and image processing : for facial recognition, object detection, and pattern recognition using Python
by
Singh, Himanshu
Published 2019
Apress
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
TA1637
Read Now
72
Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques
by
Lanham, Micheal
Published 2020
Packt Publishing
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
Q325.6
Read Now
73
Hands-on Markov models with Python : implement probabilistic models for learning complex data sequences using Python ecosystem
by
Ankan, Ankur
,
Panda, Abinash
Published 2018
Packt Publishing
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA274.7
Read Now
74
Mobile artificial intelligence projects : develop seven projects on your smartphone using artificial intelligence and deep learning techniques
by
Karthikeyan NG
,
Padmanabhan, Arun
,
Cole, Matt R.
Published 2019
Packt Publishing
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA76.73.P98
Read Now
75
Learning microsoft cognitive services : use cognitive services APIs to add AI capabilities to your applications
by
Larsen, Leif
Published 2018
Packt Publishing Ltd
Subjects:
“
...
COMPUTERS
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA76.76.A63
Read Now
76
Ensemble learning for AI developers : learn bagging, stacking, and boosting methods with use cases
by
Kumar, Alok
,
Jain, Mayank
Published 2020
Apress
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
Q335
Read Now
77
Illustrating evolutionary computation with Mathematica
by
Jacob, Christian
Published 2001
Morgan Kaufmann Pub.
Subjects:
“
...
COMPUTERS
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA76.618
Read Now
78
Machine learning with Swift : artificial intelligence for iOS
by
Sosnovshchenko, Alexander
Published 2018
Packt Publishing
Subjects:
“
...
Computers
/
Intelligence
(
AI
) &
Semantics
/
bisacsh
...
”
Call Number:
QA76.73.S95
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