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Mastering Artificial Intelligence And Machine Learning


Mastering Artificial Intelligence And Machine Learning
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Mastering Artificial Intelligence And Machine Learning


Mastering Artificial Intelligence And Machine Learning
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Author : Nikhilesh Mishra
language : en
Publisher: Independently Published
Release Date : 2023-08-25

Mastering Artificial Intelligence And Machine Learning written by Nikhilesh Mishra and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-25 with categories.


Embark on an illuminating journey through the captivating realm of "Mastering Artificial Intelligence and Machine Learning: Concepts, Techniques, and Applications" From foundational principles to cutting-edge applications, this comprehensive book equips you with the knowledge and insights to harness the transformative power of AI and ML. Uncover the core principles of AI and ML, from algorithms to predictive modeling. Dive deep into neural networks, deep learning, and natural language processing. Explore real-world applications in healthcare, finance, and more. Discover the ethical dimensions of AI's impact on society. Enhance your growth potential with an exclusive section dedicated to interviews and interviewers, providing valuable insights and skills that amplify your journey towards success. Whether you're a tech enthusiast or a seasoned professional, "Mastering Artificial Intelligence and Machine Learning: Concepts, Techniques, and Applications" empowers you to transform your understanding and become a visionary in shaping the future of technology. Don't miss out-get your copy today and embark on a journey of innovation and knowledge!



Mastering Artificial Intelligence And Machine Learning


Mastering Artificial Intelligence And Machine Learning
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Author : Dr. L. Sridhara Rao
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2022-12-06

Mastering Artificial Intelligence And Machine Learning written by Dr. L. Sridhara Rao and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-06 with Computers categories.


The book “Mastering Artificial Intelligence and Machine Learning” provides the in-depth knowledge in the field of Artificial Learning, Expert Systems, Natural Language Processing, Deep Learning, Machine Learning etc., to the graduate, post graduate and research scholars. When we talk about Artificial Intelligence, it often evokes a world of robots or futuristic technologies. However, Artificial Intelligence is already part of our daily lives. It is impacting the business world more. Knowledge Engineering is an essential part of AI research. Machines and programs need to have bountiful information related to the world to often act and react like human beings. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.



Mastering Machine Learning On Aws


Mastering Machine Learning On Aws
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Author : Dr. Saket S.R. Mengle
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-20

Mastering Machine Learning On Aws written by Dr. Saket S.R. Mengle 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 2019-05-20 with Computers categories.


Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key FeaturesBuild machine learning apps on Amazon Web Services (AWS) using SageMaker, Apache Spark and TensorFlowLearn model optimization, and understand how to scale your models using simple and secure APIsDevelop, train, tune and deploy neural network models to accelerate model performance in the cloudBook Description AWS is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud. As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every practical application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics, and predictive modeling, through to sentiment analysis. By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS. What you will learnManage AI workflows by using AWS cloud to deploy services that feed smart data productsUse SageMaker services to create recommendation modelsScale model training and deployment using Apache Spark on EMRUnderstand how to cluster big data through EMR and seamlessly integrate it with SageMakerBuild deep learning models on AWS using TensorFlow and deploy them as servicesEnhance your apps by combining Apache Spark and Amazon SageMakerWho this book is for This book is for data scientists, machine learning developers, deep learning enthusiasts and AWS users who want to build advanced models and smart applications on the cloud using AWS and its integration services. Some understanding of machine learning concepts, Python programming and AWS will be beneficial.



Machine Learning For Beginners


Machine Learning For Beginners
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Author : Samuel Hack
language : en
Publisher: Samuel Hack
Release Date : 2021-03-07

Machine Learning For Beginners written by Samuel Hack and has been published by Samuel Hack this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-07 with categories.


TODAY ONLY 55% OFF for Bookstores! Are you interested in learning about the amazing capabilities of machine learning, but you're worried it will be just too complicated? Or are you a programmer looking for a solid introduction into this field? Your customers must have this guide to understand the hidden secrets of artificial intelligence! Machine learning is an incredible technology which we're only just beginning to understand. Those who break into this industry early will reap the rewards as this field grows more and more important to businesses the world over. And the good news is, it's not too late to start! This guide breaks down the fundamentals of machine learning in a way that anyone can understand. With reference to the different kinds of machine learning models, neural networks, and the way these models learn data, you'll find everything you need to know to get started with machine learning in a concise, easy-to-understand way. Here's what you'll discover inside: What is Artificial Intelligence Really, and Why is it So Powerful? Choosing the Right Kind of Machine Learning Model for You An Introduction to Statistics Supervised and Unsupervised Learning The Power of Neural Networks Reinforcement Learning and Ensemble Modeling "Random Forests" and Decision Trees Must-Have Programming Tools And Much More! Whether you're already a programmer or if you're a complete beginner, now you can break into machine learning in no time! Covering all the basics from simple decision trees to the complex decision-making processes which mirror our own brains, Machine Learning for Beginners is your comprehensive introduction to this amazing field! Buy it NOW and let your customers become to addicted to this incredible book!



Mastering Artificial Intelligence


Mastering Artificial Intelligence
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Author : Khushabu Gupta
language : en
Publisher: Subrat Gupta
Release Date : 2024-10-28

Mastering Artificial Intelligence written by Khushabu Gupta and has been published by Subrat Gupta this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-28 with Computers categories.


"Mastering Artificial Intelligence: Learn AI Through Practical Examples & Code" offers readers a detailed, accessible guide to the exciting and fast-evolving world of AI. Designed for both beginners and those with some background in the field, this book covers essential AI concepts, history, applications, and ethical considerations. It delves into machine learning, supervised and unsupervised techniques, deep learning, natural language processing, computer vision, and reinforcement learning. Through clear explanations, practical code examples, and real-world projects, readers will gain hands-on experience with Python, learn the nuances of neural networks, and understand the impact of AI across industries. This book is an indispensable resource for anyone looking to advance their knowledge and career in artificial intelligence.



Mastering Artificial Intelligence For Beginner S 101


Mastering Artificial Intelligence For Beginner S 101
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Author : Azai Hung
language : en
Publisher: Independently Published
Release Date : 2024-07-21

Mastering Artificial Intelligence For Beginner S 101 written by Azai Hung and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-21 with Computers categories.


Mastering Artificial Intelligence Discover the secrets of AI and transform your career with this comprehensive step-by-step guide. Learn the fundamentals of Machine Learning, Deep Learning, and Neural Networks from scratch. Perfect for beginners, this tutorial takes you by the hand and walks you through the basics of AI, from understanding the concepts to building your own intelligent systems. With this tutorial, you'll learn: - The basics of Artificial Intelligence and its applications - How to build intelligent systems using Machine Learning and Deep Learning - The fundamentals of Neural Networks and how to implement them - How to get started with AI and start building your own projects Don't miss out on this opportunity to unlock the power of AI and transform your career. Start learning today and become an AI expert in no time!



Mastering Artificial Intelligence Machine Learning System Design


Mastering Artificial Intelligence Machine Learning System Design
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Author : Anshuman Mishra
language : en
Publisher: Independently Published
Release Date : 2025-04-25

Mastering Artificial Intelligence Machine Learning System Design written by Anshuman Mishra and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.


This book is a comprehensive and practical guide designed specifically for Artificial Intelligence (AI) and Machine Learning (ML) professionals preparing for system design interviews. Whether you're targeting companies like Google, Amazon, Microsoft, Meta, or rapidly growing startups, this book reveals what interviewers truly look for-and how to deliver a compelling, structured response. Combining industry-insider insights, a 20-step problem-solving framework, visual walkthroughs, and 15 deep-dive chapters, this book empowers you with both theory and practical system architecture thinking across real-world AI/ML use cases.



Mastering Artificial Intelligence


Mastering Artificial Intelligence
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Author : Sibongile Phiri
language : en
Publisher: Independently Published
Release Date : 2025-01-10

Mastering Artificial Intelligence written by Sibongile Phiri and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-10 with Computers categories.


Unlock the power of Artificial Intelligence with this comprehensive guide, designed for learners of all levels-from beginners to advanced practitioners. "Mastering Artificial Intelligence: From Beginner to Expert" walks you through the fundamentals of AI, machine learning, deep learning, and natural language processing, providing you with the tools and knowledge needed to harness AI's transformative potential. Whether you're looking to enter the AI field, enhance your current skills, or start a business utilizing AI technology, this book will equip you with actionable insights and hands-on projects. Learn how to apply AI in real-world business scenarios, automate tasks, predict outcomes, and optimize processes. Explore advanced topics such as reinforcement learning and deep learning and discover career opportunities that can help you monetize your newfound expertise. With step-by-step guides, real-world examples, and expert tips, this book serves as the ultimate resource for anyone aiming to master AI and turn it into a profitable skill. Embrace the future of technology and begin building your AI-powered career today!



Mastering Machine Learning


Mastering Machine Learning
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-05

Mastering Machine Learning written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with Computers categories.


Are you ready to become a master of machine learning? In "Mastering Machine Learning" by Kris Hermans, you'll embark on a transformative journey that will empower you with the skills and knowledge needed to conquer the world of data-driven intelligence. Discover Cutting-Edge Techniques and Practical Applications From self-driving cars to personalized recommendations, machine learning is transforming industries and reshaping the way we live and work. In this comprehensive guide, Kris Hermans equips you with the tools to harness the power of machine learning. Dive into the core concepts, algorithms, and models that underpin this revolutionary field. Become a Proficient Practitioner Whether you're a beginner or an experienced professional, this book provides a clear and structured path to mastering machine learning. Through hands-on examples and real-world case studies, you'll gain practical expertise in implementing machine learning models and solving complex problems. Kris Hermans guides you through the process, ensuring you develop a deep understanding of the techniques and algorithms that drive intelligent systems. From Fundamentals to Advanced Topics "Mastering Machine Learning" covers the full spectrum of machine learning, starting with the foundations of supervised and unsupervised learning and progressing to reinforcement learning, neural networks, and deep learning. Explore diverse models and learn how to choose the right approach for different applications. With this knowledge, you'll be able to tackle real-world challenges with confidence. Unlock the Potential of Machine Learning Across Industries Discover how machine learning is revolutionizing industries such as finance, healthcare, e-commerce, and cybersecurity. Through captivating case studies, you'll witness the transformative impact of machine learning and gain insights into how organizations are leveraging this technology to drive innovation, improve decision-making, and achieve unprecedented success. Navigate Ethical Considerations As machine learning becomes increasingly powerful, it's crucial to consider the ethical implications. "Mastering Machine Learning" addresses these important considerations head-on. Learn about the ethical challenges and responsibilities associated with machine learning applications and gain the knowledge to make informed, ethical decisions in your own work.



Mastering Azure Machine Learning


Mastering Azure Machine Learning
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Author : Christoph Körner
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-04-30

Mastering Azure Machine Learning written by Christoph Körner 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 2020-04-30 with Computers categories.


Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes Key FeaturesMake sense of data on the cloud by implementing advanced analyticsTrain and optimize advanced deep learning models efficiently on Spark using Azure DatabricksDeploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS)Book Description The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline. By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure. What you will learnSetup your Azure Machine Learning workspace for data experimentation and visualizationPerform ETL, data preparation, and feature extraction using Azure best practicesImplement advanced feature extraction using NLP and word embeddingsTrain gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure Machine LearningUse hyperparameter tuning and Azure Automated Machine Learning to optimize your ML modelsEmploy distributed ML on GPU clusters using Horovod in Azure Machine LearningDeploy, operate and manage your ML models at scaleAutomated your end-to-end ML process as CI/CD pipelines for MLOpsWho this book is for This machine learning book is for data professionals, data analysts, data engineers, data scientists, or machine learning developers who want to master scalable cloud-based machine learning architectures in Azure. This book will help you use advanced Azure services to build intelligent machine learning applications. A basic understanding of Python and working knowledge of machine learning are mandatory.