Basic Instinct Slot Machine (url:mk7796.com).qhv

Machine Learning: For Beginners - Your Comprehensive Guide For Markov Models, Reinforced Learning, Model Evaluation, SVM, Naives Bayes Classifier

Ken Richards Couverture souple

24,50 $

Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

Denis Rothman Livre numérique Kobo

73,99 $ ~~Réduction sur le prix courant 91,99 $ à~~

DATA MINING and MACHINE LEARNING. CLASSIFICATION PREDICTIVE TECHNIQUES: NAIVE BAYES, NEAREST NEIGHBORS and NEURAL NETWORKS: Examples with MATLAB

César Pérez López Livre numérique Kobo

12,99 $ ~~Réduction sur le prix courant 16,17 $ à~~

Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Jean H Gallier Couverture souple

143,50 $

3 formats offerts

Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic With C++, Java And Symbolicc++ Programs (5th Edition)

Willi-hans Steeb Couverture rigide

198,95 $

4 formats offerts

Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic With C++, Java And Symbolicc++ Programs (6th Edition)

Livre numérique Kobo

51,99 $ ~~Réduction sur le prix courant 64,25 $ à~~

Designing Embedded Systems with the SIGNAL Programming Language: Synchronous, Reactive Specification

Abdoulaye Gamatié Couverture souple

155,95 $

Quantum Computing and Supervised Machine Learning: Training And Model Selection

Philips Coleman Ph D Couverture souple

15,95 $

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Denis Rothman Livre numérique Kobo

47,99 $ ~~Réduction sur le prix courant 58,98 $ à~~

Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3

Denis Rothman Livre numérique Kobo

44,99 $ ~~Réduction sur le prix courant 55,99 $ à~~

Lens Design (Second Edition): Automatic and quasi-autonomous computational methods and techniques

Donald Dilworth Livre numérique Kobo

178,99 $ ~~Réduction sur le prix courant 223,35 $ à~~

788 formats offerts

Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python

Colleen M Farrelly Couverture souple

56,99 $

Ensemble Learning: Pattern Classification Using Ensemble Methods ()

Lior Rokach Couverture rigide

172,50 $

2 formats offerts

Learning Kernel Classifiers: Theory and Algorithms

Ralf Herbrich Couverture souple

79,00 $

Linux Kernel Programming Part 2 - Char Device Drivers and Kernel Synchronization: Create user-kernel interfaces, work with peripheral I/O, and handle hardware interrupts

Kaiwan N Billimoria Livre numérique Kobo

32,99 $ ~~Réduction sur le prix courant 40,72 $ à~~

AI TECHNIQUES AND TOOLS THROUGH PYTHON. SUPERVISED LEARNING: CLASSIFICATION METHODS, ENSEMBLE LEARNING AND NEURAL NETWORKS

F. M. Asensio Livre numérique Kobo

14,99 $ ~~Réduction sur le prix courant 17,98 $ à~~

Hands-On Vision and Behavior for Self-Driving Cars: Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4

Luca Venturi Couverture souple

66,99 $

2 formats offerts

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Maxime Labonne Couverture souple

62,60 $

2 formats offerts

Deep Belief Nets In C++ And Cuda C: Volume 1: Restricted Boltzmann Machines And Supervised Feedforward Networks

Timothy Masters Couverture souple

55,50 $

2 formats offerts

User-Friendly Introduction to Pac-Bayes Bounds

Pierre Alquier Couverture souple

123,50 $

Aucun article trouvé

Machine Learning: For Beginners - Your Comprehensive Guide For Markov Models, Reinforced Learning, Model Evaluation, SVM, Naives Bayes Classifier

Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

DATA MINING and MACHINE LEARNING. CLASSIFICATION PREDICTIVE TECHNIQUES: NAIVE BAYES, NEAREST NEIGHBORS and NEURAL NETWORKS: Examples with MATLAB

Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic With C++, Java And Symbolicc++ Programs (5th Edition)

Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic With C++, Java And Symbolicc++ Programs (6th Edition)

Designing Embedded Systems with the SIGNAL Programming Language: Synchronous, Reactive Specification

Quantum Computing and Supervised Machine Learning: Training And Model Selection

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3

Lens Design (Second Edition): Automatic and quasi-autonomous computational methods and techniques

Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python

Ensemble Learning: Pattern Classification Using Ensemble Methods ()

Learning Kernel Classifiers: Theory and Algorithms

Linux Kernel Programming Part 2 - Char Device Drivers and Kernel Synchronization: Create user-kernel interfaces, work with peripheral I/O, and handle hardware interrupts

AI TECHNIQUES AND TOOLS THROUGH PYTHON. SUPERVISED LEARNING: CLASSIFICATION METHODS, ENSEMBLE LEARNING AND NEURAL NETWORKS

Hands-On Vision and Behavior for Self-Driving Cars: Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Deep Belief Nets In C++ And Cuda C: Volume 1: Restricted Boltzmann Machines And Supervised Feedforward Networks

User-Friendly Introduction to Pac-Bayes Bounds

Articles récemment consultés

Catégorie

Filtres

Catégorie

Langue

Format du livre

Pages

Prix

Aucun article trouvé

Machine Learning: For Beginners - Your Comprehensive Guide For Markov Models, Reinforced Learning, Model Evaluation, SVM, Naives Bayes Classifier

Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4

DATA MINING and MACHINE LEARNING. CLASSIFICATION PREDICTIVE TECHNIQUES: NAIVE BAYES, NEAREST NEIGHBORS and NEURAL NETWORKS: Examples with MATLAB

Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic With C++, Java And Symbolicc++ Programs (5th Edition)

Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic With C++, Java And Symbolicc++ Programs (6th Edition)

Designing Embedded Systems with the SIGNAL Programming Language: Synchronous, Reactive Specification

Quantum Computing and Supervised Machine Learning: Training And Model Selection

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3

Lens Design (Second Edition): Automatic and quasi-autonomous computational methods and techniques

Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python

Ensemble Learning: Pattern Classification Using Ensemble Methods ()

Learning Kernel Classifiers: Theory and Algorithms

Linux Kernel Programming Part 2 - Char Device Drivers and Kernel Synchronization: Create user-kernel interfaces, work with peripheral I/O, and handle hardware interrupts

AI TECHNIQUES AND TOOLS THROUGH PYTHON. SUPERVISED LEARNING: CLASSIFICATION METHODS, ENSEMBLE LEARNING AND NEURAL NETWORKS

Hands-On Vision and Behavior for Self-Driving Cars: Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Deep Belief Nets In C++ And Cuda C: Volume 1: Restricted Boltzmann Machines And Supervised Feedforward Networks

User-Friendly Introduction to Pac-Bayes Bounds

Articles récemment consultés