دانلود کتاب Python: Beginner’s Guide to Artificial Intelligence

Develop real-world applications powered by the latest advances in intelligent systemsKey FeaturesGain real-world contextualization using deep learning problems concerning research and applicationGet to know the best practices to improve and optimize your machine learning systems and algorithmsDesign and implement machine intelligence using real-world AI-based examplesBook DescriptionThis Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. You will learn to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open-source Python libraries.Throughout the Learning Path, you'll learn how to develop deep learning applications for machine learning systems. Discover how to attain deep learning programming on GPU in a distributed way.By the end of this Learning Path, you know the fundamentals of AI and have worked through a number of case studies that will help you apply your skills to real-world projects.This Learning Path includes content from the following Packt products:Artificial Intelligence By Example by Denis RothmanPython Deep Learning Projects by Matthew Lamons, Rahul Kumar, and Abhishek NagarajaHands-On Artificial Intelligence with TensorFlow by Amir Ziai, Ankit DixitWhat you will learnUse adaptive thinking to solve real-life AI case studiesRise beyond being a modern-day factory code workerUnderstand future AI solutions and adapt quickly to themMaster deep neural network implementation using TensorFlowPredict continuous target outcomes using regression analysisDive deep into textual and social media data using sentiment analysisWho this book is forThis Learning Path is for anyone who wants to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. You will learn to extend your machine learning and deep learning knowledge by creating practical AI smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this Learning Path.Table of ContentsBecome an Adaptive ThinkerThink Like a MachineApply Machine Thinking to a Human ProblemBecome an Unconventional InnovatorManage the Power of Machine Learning and Deep LearningFocus on Optimizing Your SolutionsWhen and How to Use Artificial IntelligenceRevolutions Designed for Some Corporations and Disruptive Innovations for Small to Large CompaniesGetting Your Neurons to WorkApplying Biomimicking to Artificial IntelligenceConceptual Representation LearningOptimizing Blockchains with AICognitive NLP ChatbotsImprove the Emotional Intelligence Deficiencies of ChatbotsBuilding Deep Learning EnvironmentsTraining NN for Prediction Using RegressionGenerative Language Model for Content CreationBuilding Speech Recognition with DeepSpeech2Handwritten Digits Classification Using ConvNetsObject Detection Using OpenCV and TensorFlowBuilding Face Recognition Using FaceNetGenerative Adversarial NetworksFrom GPUs to Quantum computing - AI HardwareTensorFlow Serving