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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 …
Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.Key FeaturesBuild your first machine …
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 …
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, …
A perfect guide to speed up the predicting power of machine learning algorithms About This Book • Design, discover, and create dynamic, efficient features for your machine learning …
Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book • Skill up and implement tricky neural networks using …
Master advanced techniques and algorithms for deep learning with PyTorch using real-world examplesKey FeaturesUnderstand how to use PyTorch 1.x to build advanced neural network …
Bring magic to your mobile apps using TensorFlow Lite and Core MLKey FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and …
Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book • Master intricacies of R deep learning packages such …
100 recipes that teach you how to perform various machine learning tasks in the real world About This Book • Understand which algorithms to use in a given context with the help of …