Programming Kubernetes : Developing Cloud-Native Applications

New Kingmakers

JavaScript - The Definitive Guide

Using SQLite

Programming Quantum Computers : Essential Algorithms and Code Samples

Building Event-Driven Microservices : Leveraging Organizational Data At Scale

Software Engineering At Google : Lessons Learned From Programming Over Time

Designing For Behavior Change : Applying Psychology And Behavioral Economics

Google BigQuery: The Definitive Guide : Data Warehousing, Analytics, And Machine Learning At Scale

Deep Learning from Scratch : Building with Python from First Principles

R for Data Science : Import, Tidy, Transform, Visualize, and Model Data

Programming PyTorch for Deep Learning : Creating and Deploying Deep Learning Applications

Fundamentals of Software Architecture : An Engineering Approach

Art of Leadership, The : Small Things, Done Well

Practical Statistics for Data Scientists : 50+ Essential Concepts Using R and Python

Monolith to Microservices : Evolutionary Patterns to Transform Your Monolith

Wordpress: The Missing Manual : The Book That Should Have Been in the Box

Deep Learning for Coders with fastai and PyTorch : AI Applications Without a PhD

Spark - The Definitive Guide : Big data processing made simple

Learning Serverless : Design, Develop, and Deploy with Confidence

Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

Practical Deep Learning for Cloud and Mobile : Real-World AI & Computer Vision Projects Using Python, Keras & TensorFlow

Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python

Deep Learning Projects Using TensorFlow 2 : Neural Network Development with Python and Keras

Probabilistic Deep Learning : With Python, Keras and TensorFlow Probability

Practical Computer Vision Applications Using Deep Learning with CNNs : With Detailed Examples in Python Using TensorFlow and Kivy

Python Machine Learning : A Practical Beginner's Guide for Understanding Machine Learning, Deep Learning and Neural Networks with Python, Scikit-Learn, Tensorflow and Keras

Python Machine Learning: A Beginner's Journey into Machine Learning, Deep Learning, Data Analysis, Algorithms, and Data Science using Scikit Learn, TensorFlow, PyTorch, and Keras

Python Machine Learning For Beginners : Handbook For Machine Learning, Deep Learning And Neural Networks Using Python, Scikit-Learn And TensorFlow

Neural Network Programming : How To Create Modern AI Systems With Python, Tensorflow, And Keras

Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2

Deep Learning : Computer Vision, Python Machine Learning And Neural Networks

Introduction to Deep Learning for Engineers : Using Python and Google Cloud Platform

Building Computer Vision Applications Using Artificial Neural Networks : With Examples in OpenCV and TensorFlow with Python

Learn TensorFlow 2.0 : Implement Machine Learning and Deep Learning Models with Python

Machine Learning Projects for Mobile Applications : Build Android and iOS applications using TensorFlow Lite and Core ML

"Mastering Deep Learning with TensorFlow: From Fundamentals to Real-World Deployment