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Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. It includes even more use cases, such as …
Leverage the power of Apple's Core ML to create smart iOS appsKey Features Explore the concepts of machine learning and Apple’s Core ML APIs Use Core ML to understand and transform …
Uncover the power of artificial neural networks by implementing them through R code. About This Book • Develop a strong background in neural networks with R, to implement them in …
Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.Key FeaturesBuild your first machine …
Learn to build expert NLP and machine learning projects using NLTK and other Python libraries About This Book * Break text down into its component parts for spelling correction, …
Foster your NLP applications with the help of deep learning, NLTK, and TensorFlowKey FeaturesWeave neural networks into linguistic applications across various platformsPerform NLP …
Understand the nuances of programming traditional quantum computers and solve the challenges of the future while building and executing quantum programs on IBM Quantum hardware and …
Take your neural networks to a whole new level with the simplicity and modularity of Keras, the most commonly used high-level neural networks API.Key FeaturesSolve complex machine …
Harness the power of procedural content generation to design unique games with Unity About This Book • Learn the basics of PCG development • Develop a 2D game from start to finish …
Learn the ropes of supervised machine learning with R by studying popular real-world use-cases, and understand how it drives object detection in driver less cars, customer churn, …