Optimizing AI and Machine Learning Solutions
Titles
Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation (English Edition)
Publication Date:
Book
Pages: 324
A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps (English Edition)
Publication Date:
Book
Pages: 438
Revolutionizing industries through smart technologies and connectivity (English Edition)
Publication Date:
Book
Pages: 338
Mastering ML and NLP with Python in a step-by-step approach (English Edition)
Publication Date:
Book
Pages: 416
Advanced techniques, applications, cutting-edge methods, and top LLMs (English Edition)
Publication Date:
Book
Pages: 380
NLP, computer vision, and speech processing with PyTorch and Hugging Face (English Edition)
Publication Date:
Book
Pages: 310
Build and Program Real Autonomous Robots Using Raspberry Pi (English Edition)
Publication Date:
Book
Pages: 505
Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions
Publication Date:
Book
Pages: 314
Empower the performance of Machine Learning and AI models with the capabilities of a powerful search algorithm (English Edition)
Publication Date:
Book
Pages: 270
Master Data Science skills with easy-to-follow Python examples
Publication Date:
Book
Pages: 322