Matches in SemOpenAlex for { <https://semopenalex.org/work/W3011857146> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W3011857146 abstract "New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x and TensorFlow 2, with seven new chapters that cover RNNs, AI & Big Data, fundamental use cases, chatbots, and more.Key FeaturesCompletely updated and revised to Python 3.x, and TensorFlow 2Seven new chapters that include AI on the cloud, RNNs and DL models, feature engineering, the machine learning data pipeline, and moreNew author with 25 years of experience in artificial intelligence across multiple industries and enterprise domainsBook DescriptionArtificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x and TensorFlow 2. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications.This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data.Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsUnderstand RNNs and various DL modelsWho this book is forThe intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory." @default.
- W3011857146 created "2020-03-23" @default.
- W3011857146 creator A5004801856 @default.
- W3011857146 creator A5017073371 @default.
- W3011857146 date "2017-01-27" @default.
- W3011857146 modified "2023-09-27" @default.
- W3011857146 title "Artificial Intelligence with Python" @default.
- W3011857146 hasPublicationYear "2017" @default.
- W3011857146 type Work @default.
- W3011857146 sameAs 3011857146 @default.
- W3011857146 citedByCount "1" @default.
- W3011857146 countsByYear W30118571462019 @default.
- W3011857146 crossrefType "book" @default.
- W3011857146 hasAuthorship W3011857146A5004801856 @default.
- W3011857146 hasAuthorship W3011857146A5017073371 @default.
- W3011857146 hasConcept C108583219 @default.
- W3011857146 hasConcept C111919701 @default.
- W3011857146 hasConcept C154945302 @default.
- W3011857146 hasConcept C157170001 @default.
- W3011857146 hasConcept C199360897 @default.
- W3011857146 hasConcept C2778827112 @default.
- W3011857146 hasConcept C41008148 @default.
- W3011857146 hasConcept C519991488 @default.
- W3011857146 hasConcept C79974875 @default.
- W3011857146 hasConceptScore W3011857146C108583219 @default.
- W3011857146 hasConceptScore W3011857146C111919701 @default.
- W3011857146 hasConceptScore W3011857146C154945302 @default.
- W3011857146 hasConceptScore W3011857146C157170001 @default.
- W3011857146 hasConceptScore W3011857146C199360897 @default.
- W3011857146 hasConceptScore W3011857146C2778827112 @default.
- W3011857146 hasConceptScore W3011857146C41008148 @default.
- W3011857146 hasConceptScore W3011857146C519991488 @default.
- W3011857146 hasConceptScore W3011857146C79974875 @default.
- W3011857146 hasLocation W30118571461 @default.
- W3011857146 hasOpenAccess W3011857146 @default.
- W3011857146 hasPrimaryLocation W30118571461 @default.
- W3011857146 hasRelatedWork W2460999112 @default.
- W3011857146 hasRelatedWork W2747840490 @default.
- W3011857146 hasRelatedWork W2761048258 @default.
- W3011857146 hasRelatedWork W2767625489 @default.
- W3011857146 hasRelatedWork W2778834316 @default.
- W3011857146 hasRelatedWork W2890741686 @default.
- W3011857146 hasRelatedWork W2898761039 @default.
- W3011857146 hasRelatedWork W2948984390 @default.
- W3011857146 hasRelatedWork W2954935926 @default.
- W3011857146 hasRelatedWork W2976735527 @default.
- W3011857146 hasRelatedWork W2980625652 @default.
- W3011857146 hasRelatedWork W3035409486 @default.
- W3011857146 hasRelatedWork W3041349063 @default.
- W3011857146 hasRelatedWork W3113236902 @default.
- W3011857146 hasRelatedWork W3161591992 @default.
- W3011857146 hasRelatedWork W3162149541 @default.
- W3011857146 hasRelatedWork W3187031798 @default.
- W3011857146 hasRelatedWork W3190047047 @default.
- W3011857146 hasRelatedWork W3193321391 @default.
- W3011857146 hasRelatedWork W3210667995 @default.
- W3011857146 isParatext "false" @default.
- W3011857146 isRetracted "false" @default.
- W3011857146 magId "3011857146" @default.
- W3011857146 workType "book" @default.