Fundamental Principles Of Machine Learning And Ai

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Artificial Intelligence And Machine Learning Fundamentals

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Author : Zsolt Nagy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-12

Artificial Intelligence And Machine Learning Fundamentals written by Zsolt Nagy and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Computers categories.

Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).

Ai Crash Course

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Author : Hadelin de Ponteves
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-29

Ai Crash Course written by Hadelin de Ponteves and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Computers categories.

Unlock the power of artificial intelligence with top Udemy AI instructor Hadelin de Ponteves. Key FeaturesLearn from friendly, plain English explanations and practical activitiesPut ideas into action with 5 hands-on projects that show step-by-step how to build intelligent softwareUse AI to win classic video games and construct a virtual self-driving carBook Description Welcome to the Robot World ... and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. What you will learnMaster the basics of AI without any previous experienceBuild fun projects, including a virtual-self-driving car and a robot warehouse workerUse AI to solve real-world business problemsLearn how to code in PythonDiscover the 5 principles of reinforcement learningCreate your own AI toolkitWho this book is for If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level).

Fundamentals Of Deep Learning

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Author : Nikhil Buduma
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-25

Fundamentals Of Deep Learning written by Nikhil Buduma and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Computers categories.

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning

The Principles Of Deep Learning Theory

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Author : Daniel A. Roberts
language : en
Publisher: Cambridge University Press
Release Date : 2022-05-26

The Principles Of Deep Learning Theory written by Daniel A. Roberts and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-26 with Computers categories.

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Artificial Intelligence With Python

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Author : Prateek Joshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-01-27

Artificial Intelligence With Python written by Prateek Joshi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-27 with Computers categories.

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.

Understanding Machine Learning

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Author : Shai Shalev-Shwartz
language : en
Publisher: Cambridge University Press
Release Date : 2014-05-19

Understanding Machine Learning written by Shai Shalev-Shwartz and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-19 with Computers categories.

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Exam Ref Ai 900 Microsoft Azure Ai Fundamentals

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Author : Julian Sharp
language : en
Publisher: Microsoft Press
Release Date : 2021-11-22

Exam Ref Ai 900 Microsoft Azure Ai Fundamentals written by Julian Sharp and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Artificial intelligence categories.

Direct from Microsoft, this Exam Ref is the official study guide for the new Microsoft AI-900 Microsoft Azure AI Fundamentals certification exam. Exam Ref AI-900 Microsoft Azure AI Fundamentals offers professional-level preparation that helps candidates maximize their exam performance and sharpen their skills on the job. It focuses on the specific areas of expertise modern IT professionals need to demonstrate real-world mastery of common machine learning (ML) and artificial intelligence (AI) workloads and how to use them in Azure.

Fundamental Principles Of Machine Learning And Ai

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Author : Nishanta Ranjan Nanda
language : en
Publisher: Perfect Writer
Release Date : 2024-04-11

Fundamental Principles Of Machine Learning And Ai written by Nishanta Ranjan Nanda and has been published by Perfect Writer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-11 with Fiction categories.

The cover page is depicted as symoblical representation of Brain Mechansim Portrait to show the use of Artificial Intelligence and machine learning. This book is written according to BPUT Syllabus for students and lectures for a brief idea about Funda- mental principles of MI. and AI, This will help the students to excel in the academics exams

Fundamentals Of Ai And Deep Learning

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Author : Dr. S. Rajakumaran
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-11-09

Fundamentals Of Ai And Deep Learning written by Dr. S. Rajakumaran and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-09 with Study Aids categories.

The brain has an inherent advantage over traditional computers in that it possesses the ability to acquire knowledge and skills via the process of learning. Nevertheless, the edge is being swiftly eradicated by a new cohort of artificial intelligence programs known as deep neural networks. The primary objective of this book is to assist readers in comprehending fundamental principles before progressing towards refining their programming abilities, ultimately enabling them to become proficient practitioners in the field of deep learning. The book covers fundamental principles in deep learning, exploring various deep learning designs such as recurrent neural networks. Additionally, it delves into contemporary advancements such as generative adversarial networks. The book serves as a comprehensive manual for the implementation of deep neural networks, including several architectures such as Multilayer Perceptron’s (MLPs), Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and others, inside the frameworks of Kera’s and TensorFlow. This book aims to serve as a concise resource for training and optimising deep neural networks. The book encompasses the foundational principles of neural networks, as well as the training methods used in deep neural networks. The book is highly recommended for students seeking a comprehensive reference manual on deep learning, as well as industry practitioners from many disciplines who want to embark on their data science endeavours.

Conquering The Azure Ai Fundamentals Ai 900 Exam

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Author : Etienne Noumen
language : en
Publisher: Etienne Noumen
Release Date :

Conquering The Azure Ai Fundamentals Ai 900 Exam written by Etienne Noumen and has been published by Etienne Noumen this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

This book provides a detailed preparation guide for the Microsoft Azure AI Fundamentals (AI-900) exam, focusing on the knowledge and skills necessary to pass. It covers the exam structure and logistics, including question formats, duration, scoring, and registration process. A significant portion outlines the skills measured, broken down into key domains such as AI workloads, machine learning, computer vision, natural language processing, and generative AI, reflecting recent updates to the exam. The guide strongly emphasizes utilising official Microsoft resources like Microsoft Learn and practice assessments, while also mentioning potentially useful third-party study aids. Finally, it offers tips for exam day and outlines next steps for continuing one's AI journey after achieving certification. 🚀 Ready to conquer the Microsoft Azure AI Fundamentals (AI-900) exam? 📘 Grab our new guide: Conquering the Microsoft Azure AI Fundamentals (AI-900) Exam: A Comprehensive Preparation Guide Whether you're an IT pro, student, or career changer, this guide is packed with: ✅ Domain breakdowns + sample questions ✅ Hands-on tips for Azure AI Studio, Cognitive Services, ML ✅ Practice exam advice & success strategies 📥 Download now and start your journey into AI with Azure. #AzureAI #AI900 #MicrosoftCertification #ArtificialIntelligence #CloudCareers #ExamTips #AI4Everyone #MicrosoftCert #AICertification #CareerDevelopment