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Artificial intelligence : an illustrated history

Prolog programming for artifical intelligence

The shape of data : geometry-based machine learning and data analysis in R

Robotic Process and Cognitive Automation: The Next Phase

Machine learning engineering in action

Data analysis with Python and Pyspark

My mother was a computer : digital subjects and literary texts

Adobe analytics

Probabilistic numerics : computation as machine learning

Control systems and reinforcement learning

Data science in context : foundations, challenges, opportunities

Introduction To Machine Learning

MLOps engineering at scale

The sentient robot : the last two hurdles in the race to build artificial superintelligence

Artificial Vision and Language Processing for Robotics : Create end-to-end systems that can power robots with artificial vision and deep learning techniques

Building Computer Vision Projects with OpenCV 4 and C++ : Implement complex computer vision algorithms and explore deep learning and face detection

Deep learning with PyTorch Lightning : build and train high-performance artificial intelligence and self-supervised models using Python

Learn Amazon SageMaker : A guide to building, training, and deploying machine learning models for developers and data scientists

Exploring deepfakes : get hands-on with generative AI for face replacement

Research Anthology on Machine Learning Techniques, Methods, and Applications, VOL 2

Essential PySpark for data analytics : a beginner's guide to harnessing the power and ease of PySpark 3.0

Conceptual spaces : the geometry of thought

Data Science Algorithms in a Week : Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Artificial intelligence simplified : understanding basic concepts

Data analytics made easy : use machine learning and data storytelling in your work without writing any code

Mastering Azure Machine Learning : execute large-scale end-to-end machine learning with Azure

Beyond AI : creating the conscience of the machine

Artificial Intelligence By Example : Develop machine intelligence from scratch using real artificial intelligence use cases

Hands-On Computer Vision with TensorFlow 2 : Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

Natural language processing with TensorFlow : the definitive NLP book to implement the most sought-after machine learning models and tasks

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