DATA SCIENCE FOR TEAMS 20 lessons from the fieldwork.

Artificial intelligence and machine learning : an intelligent perspective of emerging technologies.
Published: (2023)

Learn generative AI with PyTorch /
by: Liu, Mark (Mark H.)
Published: (2025)

Advances in partitioning techniques : a prospective towards artificial intelligence /
by: Guggari, Shankru, et al.
Published: (2025)

Artificial Intelligence and Machine Learning for Industry 4. 0.
by: Thirunavukkarasan, M.
Published: (2025)

Cutting-Edge Artificial Intelligence Applications /
by: Gouskir, Mohamed
Published: (2025)

The complete OpenAI agent builder course : create, automate & launch AI agents.
Published: (2025)

Agentic hyper-personalized dimensions : six dimensions of business dark data /
by: Vermeulen, Andreas François
Published: (2026)

MACHINE LEARNING FUNDAMENTALS concepts, models, and applications.
by: SAHAY, AMAR
Published: (2025)

Generative AI and LLMs : natural language processing and generative adversarial networks /
Published: (2024)

Emerging trends and future directions in artificial intelligence, machine learning, and internet of things innovations /
Published: (2026)

Artificial intelligence and machine learning for open-world novelty
Published: (2024)

Artificial intelligence of things (AIoT) : current and future trends /
Published: (2025)

Getting started with vector databases and AI embeddings.
Published: (2025)

How one Google team built storytelling into analytics /
by: Zhu, Jiaxi
Published: (2025)

De-Mystifying Math & Stats for Machine Learning : Mastering the Fundamentals of Mathematics and Statistics for Machine Learning /
by: Kumar, Govind
Published: (2021)

Empowering artificial intelligence through machine learning : new advances and applications /
Published: (2022)

Climate-resistant smart agriculture for healthy food production /
Published: (2026)

Machine learning : an artificial intelligence approach.
by: Bareiss, E. Ray
Published: (1990)

Machine learning methods for planning /
Published: (1993)

Artificial intelligence and machine learning for edge computing /
Published: (2022)

ADVANCED RANDOMIZED NEURAL NETWORKS FOR PATTERN ANALYSIS
Published: (2025)

Trustworthy AI systems : engineering secure, scalable, and responsible intelligence for real applications /
Published: (2026)

Applied machine learning for data science practitioners /
by: Subramanian, Vidya, 1978-
Published: (2025)

Synthetic data and generative AI /
by: Granville, Vincent (Ph. D.)
Published: (2024)

A biologist's guide to artificial intelligence : building the foundations of artificial intelligence and machine learning for achieving advancements in life sciences /
Published: (2024)

Applied artificial intelligence and machine learning techniques for engineering applications /
Published: (2026)

Do you really need a chief AI officer? /
by: Wade, Michael, et al.
Published: (2024)

Blondie24 : playing at the edge of AI /
by: Fogel, David B.
Published: (2002)

Machine learning : an artificial intelligence approach /
Published: (1983)

Explainable deep learning AI : methods and challenges /
Published: (2023)

Federated learning for digital healthcare systems /
Published: (2024)

Hardware accelerator systems for artificial intelligence and machine learning /
Published: (2021)

Smart agriculture : harnessing machine learning for crop management /
Published: (2025)

Fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security /
Published: (2025)

Radio frequency machine learning : a practical deep learning perspective /
by: Kuzdeba, Scott
Published: (2025)

Artificial intelligence in future mining /
Published: (2025)