Title: HBR Guide to Generative AI for Managers, Author: Elisa Farri
Title: Machine Learning Fundamentals: Concepts, Models, and Applications, Author: Amar Sahay
Title: Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, Author: Kristen Kehrer
Title: Ultimate Machine Learning with Scikit-Learn, Author: Parag Saxena
Title: Ultimate Machine Learning with Scikit-Learn: Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning (English Edition), Author: Parag Saxena
Title: SECRETS OF MACHINE LEARNING: How It Works and What It Means for You, Author: Tom Kohn
Title: Mastering MLOps Architecture: From Code to Deployment: Manage the production cycle of continual learning ML models with MLOps, Author: Raman Jhajj
Title: Python for Data Science: A Practical Approach to Machine Learning, Author: Jarrel E.
Title: Machine Learning for Beginners: Build and deploy Machine Learning systems using Python - 2nd Edition, Author: Dr. Harsh Bhasin
Title: The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R, Author: Colleen M. Farrelly
Title: Mathematics for Machine Learning: A Deep Dive into Algorithms, Author: NIBEDITA Sahu
Title: Data Science Fusion: Integrating Maths, Python, and Machine Learning, Author: NIBEDITA Sahu
Title: Mastering Machine Learning: A Comprehensive Guide to Success, Author: Rick Spair
Title: Applied Deep Learning: Design and Implement your own Neural Networks to Solve Real-World Problems, Author: Dr. Rajkumar Tekchandani
Title: How to Find a Needle in a Haystack: From the Insider Threat to Solo Perpetrators, Author: Yair Neuman
Title: Practical Deep Reinforcement Learning with Python: Concise Implementation of Algorithms, Simplified Maths, and Effective Use of TensorFlow and PyTorch (English Edition), Author: Ivan Gridin
Title: Machine Learning, revised and updated edition, Author: Ethem Alpaydin
Title: Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence, Author: Dale Lane
Title: Machine Learning For Dummies, Author: John Paul Mueller
Title: Deep Learning for Computer Vision with SAS: An Introduction, Author: Robert Blanchard

Pagination Links