Artificial Intelligence With Python

Artificial Intelligence with Python PDF Book Details:
Author: Prateek Joshi
Publisher:
ISBN: 9781786464392
Size: 61.61 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 521
View: 3521

Get Book


Artificial Intelligence With Python PDF

by Prateek Joshi, Artificial Intelligence With Python Books available in PDF, EPUB, Mobi Format. Download Artificial Intelligence With Python books, Build real-world AI applications with Python to intelligently interact with your surroundingsAbout This Book* Step into the amazing world of intelligent apps using this comprehensive guide* Enter the world of AI, explore it, and become independent to create your own AI apps* Work through simple yet insightful examples that will get you up and running with artificial intelligence in no timeWho This Book Is ForThis book is for Python developers who want to build real-world AI applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to implement AI techniques in their existing technology stacks.What You Will Learn* Find out how to use different classification and regression techniques* Understand the concept of clustering and how to use it to automatically segment data* See how to build an intelligent recommender system* Understand logic programming and how to use it* Develop automatic speech recognition systems* Understand the basics of heuristic search and genetic programming* Develop an understanding of reinforcement learning* Discover how to build AI applications centered on images, text, and time series data* Understand how to use deep learning algorithms and build applications based on itIn DetailAI is becoming increasingly relevant in the modern world where the ecosystem is driven by technology and data. AI is used extensively across many fields such as robotics, computer vision, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various AI algorithms that can be used to build various applications.During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of the AI concepts, you will learn how to develop the various building blocks of AI using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application based on images, text, stock market, or some other form of data, this exciting book on AI will definitely guide you all the way!


Artificial Intelligence With Python

Artificial Intelligence with Python PDF Book Details:
Author: Alberto Artasanchez
Publisher: Packt Publishing Ltd
ISBN: 1839216077
Size: 48.50 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 618
View: 3110

Get Book


Artificial Intelligence With Python PDF

by Alberto Artasanchez, Artificial Intelligence With Python Books available in PDF, EPUB, Mobi Format. Download Artificial Intelligence With Python books, New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key Features Completely updated and revised to Python 3.x New chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms, machine learning data pipelines, and chatbots Book Description Artificial 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. 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 learn Understand what artificial intelligence, machine learning, and data science are Explore the most common artificial intelligence use cases Learn how to build a machine learning pipeline Assimilate the basics of feature selection and feature engineering Identify the differences between supervised and unsupervised learning Discover the most recent advances and tools offered for AI development in the cloud Develop automatic speech recognition systems and chatbots Apply AI algorithms to time series data Who this book is for The 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.


Einf Hrung In Machine Learning Mit Python

Einf  hrung in Machine Learning mit Python PDF Book Details:
Author: Andreas C. Müller
Publisher: O'Reilly
ISBN: 3960101112
Size: 64.31 MB
Format: PDF, Mobi
Category : Computers
Languages : de
Pages : 378
View: 3813

Get Book


Einf Hrung In Machine Learning Mit Python PDF

by Andreas C. Müller, Einf Hrung In Machine Learning Mit Python Books available in PDF, EPUB, Mobi Format. Download Einf Hrung In Machine Learning Mit Python books, Machine Learning ist zu einem wichtigen Bestandteil vieler kommerzieller Anwendungen und Forschungsprojekte geworden, von der medizinischen Diagnostik bis hin zur Suche nach Freunden in sozialen Netzwerken. Um Machine-Learning-Anwendungen zu entwickeln, braucht es keine großen Expertenteams: Wenn Sie Python-Grundkenntnisse mitbringen, zeigt Ihnen dieses Praxisbuch, wie Sie Ihre eigenen Machine-Learning-Lösungen erstellen. Mit Python und der scikit-learn-Bibliothek erarbeiten Sie sich alle Schritte, die für eine erfolgreiche Machine-Learning-Anwendung notwendig sind. Die Autoren Andreas Müller und Sarah Guido konzentrieren sich bei der Verwendung von Machine-Learning-Algorithmen auf die praktischen Aspekte statt auf die Mathematik dahinter. Wenn Sie zusätzlich mit den Bibliotheken NumPy und matplotlib vertraut sind, hilft Ihnen dies, noch mehr aus diesem Tutorial herauszuholen. Das Buch zeigt Ihnen: - grundlegende Konzepte und Anwendungen von Machine Learning - Vor- und Nachteile weit verbreiteter maschineller Lernalgorithmen - wie sich die von Machine Learning verarbeiteten Daten repräsentieren lassen und auf welche Aspekte der Daten Sie sich konzentrieren sollten - fortgeschrittene Methoden zur Auswertung von Modellen und zum Optimieren von Parametern - das Konzept von Pipelines, mit denen Modelle verkettet und Arbeitsabläufe gekapselt werden - Arbeitsmethoden für Textdaten, insbesondere textspezifische Verarbeitungstechniken - Möglichkeiten zur Verbesserung Ihrer Fähigkeiten in den Bereichen Machine Learning und Data Science Dieses Buch ist eine fantastische, super praktische Informationsquelle für jeden, der mit Machine Learning in Python starten möchte – ich wünschte nur, es hätte schon existiert, als ich mit scikit-learn anfing! Hanna Wallach, Senior Researcher, Microsoft Research


Ai With Python For Beginners

AI With Python For Beginners PDF Book Details:
Author: Jim Smith
Publisher:
ISBN: 9781086337686
Size: 33.81 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 320
View: 799

Get Book


Ai With Python For Beginners PDF

by Jim Smith, Ai With Python For Beginners Books available in PDF, EPUB, Mobi Format. Download Ai With Python For Beginners books, AI With PythonSince the invention of computers or machines, their capability to perform various tasks has experienced an exponential growth. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed, and reducing size with respect to time.A branch of Computer Science named Artificial Intelligence pursues creating the computers or machines as intelligent as human beings.Artificial intelligence's progress is staggering. Efforts to advance AI concepts over the past 20 years have resulted in some truly amazing innovations. Big data, medical research, and autonomous vehicles are just some of the incredible applications emerging from AI development.This book covers the basic concepts of various fields of artificial intelligence like Artificial Neural Networks, Natural Language Processing, Machine Learning, Deep Learning, Genetic algorithms etc., and its implementation in Python.What You Will Learn: -Introduction-Machine Learning-Data Preparations-Supervised Learning-Logic Programming-Clustering-Natural Language Processing-Time Series Data-Speech Recognition-Heuristic Search-Gaming-Much, Much More!


Artificial Intelligence With Python Cookbook

Artificial Intelligence with Python Cookbook PDF Book Details:
Author: Ben Auffarth
Publisher: Packt Publishing Ltd
ISBN: 1789137969
Size: 66.90 MB
Format: PDF
Category : Computers
Languages : en
Pages : 468
View: 5997

Get Book


Artificial Intelligence With Python Cookbook PDF

by Ben Auffarth, Artificial Intelligence With Python Cookbook Books available in PDF, EPUB, Mobi Format. Download Artificial Intelligence With Python Cookbook books, If you are looking to build next-generation AI solutions for work or even for your pet projects, you’ll find this cookbook useful. With the help of easy-to-follow recipes, this book will take you through the advanced AI and machine learning approaches and algorithms that are required to build smart models for problem-solving.


Artificial Intelligence With Python

Artificial Intelligence with Python PDF Book Details:
Author: Prateek Joshi
Publisher: Packt Publishing Ltd
ISBN: 1786469677
Size: 59.60 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 446
View: 7644

Get Book


Artificial Intelligence With Python PDF

by Prateek Joshi, Artificial Intelligence With Python Books available in PDF, EPUB, Mobi Format. Download Artificial Intelligence With Python books, Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.


Python Artificial Intelligence Projects For Beginners

Python Artificial Intelligence Projects for Beginners PDF Book Details:
Author: Dr. Joshua Eckroth
Publisher: Packt Publishing Ltd
ISBN: 1789538246
Size: 10.70 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 162
View: 4328

Get Book


Python Artificial Intelligence Projects For Beginners PDF

by Dr. Joshua Eckroth, Python Artificial Intelligence Projects For Beginners Books available in PDF, EPUB, Mobi Format. Download Python Artificial Intelligence Projects For Beginners books, Build smart applications by implementing real-world artificial intelligence projects Key Features Explore a variety of AI projects with Python Get well-versed with different types of neural networks and popular deep learning algorithms Leverage popular Python deep learning libraries for your AI projects Book Description Artificial Intelligence (AI) is the newest technology that’s being employed among varied businesses, industries, and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python, covering modern techniques that make up the world of Artificial Intelligence. This book begins with helping you to build your first prediction model using the popular Python library, scikit-learn. You will understand how to build a classifier using an effective machine learning technique, random forest, and decision trees. With exciting projects on predicting bird species, analyzing student performance data, song genre identification, and spam detection, you will learn the fundamentals and various algorithms and techniques that foster the development of these smart applications. In the concluding chapters, you will also understand deep learning and neural network mechanisms through these projects with the help of the Keras library. By the end of this book, you will be confident in building your own AI projects with Python and be ready to take on more advanced projects as you progress What you will learn Build a prediction model using decision trees and random forest Use neural networks, decision trees, and random forests for classification Detect YouTube comment spam with a bag-of-words and random forests Identify handwritten mathematical symbols with convolutional neural networks Revise the bird species identifier to use images Learn to detect positive and negative sentiment in user reviews Who this book is for Python Artificial Intelligence Projects for Beginners is for Python developers who want to take their first step into the world of Artificial Intelligence using easy-to-follow projects. Basic working knowledge of Python programming is expected so that you’re able to play around with code


Praxiseinstieg Machine Learning Mit Scikit Learn Keras Und Tensorflow

Praxiseinstieg Machine Learning mit Scikit Learn  Keras und TensorFlow PDF Book Details:
Author: Aurélien Géron
Publisher: O'Reilly
ISBN: 3960103409
Size: 49.29 MB
Format: PDF, Docs
Category : Computers
Languages : de
Pages : 852
View: 3923

Get Book


Praxiseinstieg Machine Learning Mit Scikit Learn Keras Und Tensorflow PDF

by Aurélien Géron, Praxiseinstieg Machine Learning Mit Scikit Learn Keras Und Tensorflow Books available in PDF, EPUB, Mobi Format. Download Praxiseinstieg Machine Learning Mit Scikit Learn Keras Und Tensorflow books, Aktualisierte Neuauflage des Bestsellers zu TensorFlow 2 und Deep Learning Eine Reihe technischer Durchbrüche beim Deep Learning haben das gesamte Gebiet des maschinellen Lernens in den letzten Jahren beflügelt. Inzwischen können sogar Programmierer, die kaum etwas über diese Technologie wissen, mit einfachen, effizienten Werkzeugen Machine-Learning-Programme implementieren. Dieses praxisorientierte Buch zeigt Ihnen wie. Mit konkreten Beispielen, einem Minimum an Theorie und zwei unmittelbar anwendbaren Python-Frameworks – Scikit-Learn und TensorFlow 2 – verhilft Ihnen der Autor Aurélien Géron zu einem intuitiven Verständnis der Konzepte und Tools für das Entwickeln intelligenter Systeme. Sie lernen eine Vielzahl von Techniken kennen, beginnend mit einfacher linearer Regression bis hin zu Deep Neural Networks. Die in jedem Kapitel enthaltenen Übungen helfen Ihnen, das Gelernte in die Praxis umzusetzen. Um direkt zu starten, benötigen Sie lediglich etwas Programmiererfahrung.


Maschinelles Lernen

Maschinelles Lernen PDF Book Details:
Author: Jörg Frochte
Publisher: Carl Hanser Verlag GmbH Co KG
ISBN: 3446459979
Size: 23.81 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : de
Pages : 406
View: 287

Get Book


Maschinelles Lernen PDF

by Jörg Frochte, Maschinelles Lernen Books available in PDF, EPUB, Mobi Format. Download Maschinelles Lernen books, Maschinelles Lernen ist ein interdisziplinäres Fach, das die Bereiche Informatik, Mathematik und das jeweilige Anwendungsgebiet zusammenführt. In diesem Buch werden alle drei Teilgebiete gleichermaßen berücksichtigt: - Es wird demonstriert, wie man die Algorithmen des maschinellen Lernens verwendet und der Hintergrund geliefert, um zu verstehen, wie und warum diese Algorithmen funktionieren. - Ebenfalls enthalten ist ein kompakter Kickstart zur Verwendung von Python 3 und seinem Ökosystem im Umfeld des maschinellen Lernens. - Die Algorithmen werden zum besseren Verständnis und praktischen Einsatz anschaulich mittels NumPy und SciPy umgesetzt. - Für die Support Vector Machines und das Deep Learning wird auf scikit-learn bzw. Keras zurückgegriffen. - Es werden verschiedene Methoden des überwachten, unüberwachten und bestärkenden Lernens besprochen, u.a. Random Forest, DBSCAN und Q-Learning. Vorausgesetzt werden Kenntnisse in objektorientierter Programmierung und Basiswissen der Hochschulmathematik. Die nötige Mathematik wird eingebettet im Buch präsentiert und die Theorie direkt in Python-Code umgesetzt. Das Buch ist ideal für Studierende der Informatik, Mechatronik, Elektrotechnik und der angewandten Statistik/Data Science sowie für Ingenieure und Informatiker in der Praxis.


Practical Machine Learning With Python

Practical Machine Learning with Python PDF Book Details:
Author: Dipanjan Sarkar
Publisher: Apress
ISBN: 9781484232064
Size: 36.61 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 530
View: 552

Get Book


Practical Machine Learning With Python PDF

by Dipanjan Sarkar, Practical Machine Learning With Python Books available in PDF, EPUB, Mobi Format. Download Practical Machine Learning With Python books, Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! What You'll Learn Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning. Who This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students