Getting Started With Ai And Machine Learning In Python
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Getting Started With Ai And Machine Learning In Python
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Author : ROGERS. ISAACSON
language : en
Publisher: Independently Published
Release Date : 2025-04-11
Getting Started With Ai And Machine Learning In Python written by ROGERS. ISAACSON and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Computers categories.
Begin your journey into the world of Artificial Intelligence (AI) and Machine Learning (ML) with Getting Started with AI and Machine Learning in Python. This beginner-friendly guide will teach you the core concepts of AI and ML and show you how to build your first machine learning models using Python. Whether you're new to programming or have some experience with Python, this book offers a practical and approachable way to dive into the fascinating world of AI. Python is the most popular language for AI and machine learning because of its simplicity and the powerful libraries available, such as Scikit-learn, TensorFlow, and Keras. This book will introduce you to the foundational principles of AI and guide you through building and evaluating your first machine learning models. You'll gain hands-on experience by working through projects that involve real-world datasets and learn how to use AI to solve practical problems. Inside, you'll learn: The fundamentals of AI and machine learning, including supervised and unsupervised learning How to set up your Python environment for AI and ML development The basics of data preprocessing, including cleaning and transforming data for use in machine learning models How to build simple machine learning models with Scikit-learn, including linear regression, decision trees, and k-nearest neighbors Techniques for model evaluation, including cross-validation, confusion matrices, and performance metrics like accuracy and precision How to visualize data and results with Python's popular libraries like Matplotlib and Seaborn A brief introduction to deep learning concepts and how to implement neural networks using Keras Best practices for training, testing, and tuning machine learning models to improve accuracy By the end of this book, you'll have a solid understanding of AI and machine learning concepts and practical experience building models in Python. Whether you're looking to pursue a career in data science, work on personal projects, or simply learn more about AI, Getting Started with AI and Machine Learning in Python is the perfect guide to get you started. Key Features: Learn the core concepts of AI and machine learning in an easy-to-understand format Step-by-step instructions for building your first machine learning models in Python Hands-on projects using real-world datasets to practice your skills Best practices for evaluating, tuning, and improving your machine learning models Introduction to deep learning and neural networks with Keras Start learning AI and machine learning today with Getting Started with AI and Machine Learning in Python and build the foundation for your AI-driven projects.
Introduction To Artificial Intelligence
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Author : RAFAEL. SANDERS
language : en
Publisher: Independently Published
Release Date : 2025-04-20
Introduction To Artificial Intelligence written by RAFAEL. SANDERS and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-20 with Computers categories.
Introduction to Artificial Intelligence: Build Your First AI Model with Python is the perfect guide to getting started with AI and machine learning using Python. Whether you're new to AI or want to enhance your skills, this step-by-step guide will walk you through the basics of artificial intelligence and how to build your first AI model. You'll learn about the foundational concepts of AI, including supervised and unsupervised learning, neural networks, and model evaluation, using Python's powerful libraries like scikit-learn and TensorFlow. By the end of the book, you will be equipped to build, train, and evaluate your own AI models, laying the groundwork for advanced AI applications.
Python Ai For Beginners
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Author : THOMPSON. CARTER
language : en
Publisher: Independently Published
Release Date : 2025-01-29
Python Ai For Beginners written by THOMPSON. CARTER and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-29 with Computers categories.
Python AI for Beginners: Build Your First Machine Learning Project Today Dive into the world of artificial intelligence and machine learning with Python AI for Beginners, the perfect guide to kickstart your journey into building smart systems. Designed for beginners with no prior experience in AI, this book simplifies complex concepts and provides a hands-on approach to building your first machine learning project using Python. Whether you're a student, a coding enthusiast, or someone curious about AI, this guide equips you with the tools, techniques, and foundational knowledge to start creating AI-powered applications today. What You'll Learn: Introduction to Artificial Intelligence: Understand what AI is, how it works, and its impact on industries. Python Essentials for AI: Learn the basics of Python, including syntax, data types, and libraries used in machine learning. Getting Started with Machine Learning: Discover the fundamentals of machine learning, including supervised and unsupervised learning. Data Preprocessing: Clean, transform, and prepare your data for machine learning models. Using Popular Libraries: Get hands-on with essential Python libraries like NumPy, pandas, and Matplotlib for data manipulation and visualization. Building Your First Model: Create a simple machine learning project, such as a classification model, using scikit-learn. Evaluating Model Performance: Understand key metrics like accuracy, precision, recall, and F1-score to assess your model's effectiveness. Feature Engineering: Learn how to select and engineer features to improve model accuracy. Intro to Neural Networks: Get a glimpse into neural networks and how they power AI systems. Real-World Applications: Explore practical AI use cases, including recommendation systems, image classification, and sentiment analysis. Ethics in AI: Learn the importance of ethical considerations in building AI systems. Step-by-Step Project: Follow a detailed guide to build and deploy your first AI-powered Python project from start to finish. Who Is This Book For? This book is ideal for beginners, students, hobbyists, and anyone eager to explore AI and machine learning with Python. Why Choose This Book? With its beginner-friendly approach, practical examples, and hands-on projects, Python AI for Beginners makes learning AI accessible, empowering you to start building intelligent systems right away. Start your AI journey today with Python AI for Beginners: Build Your First Machine Learning Project Today-your gateway to the exciting world of artificial intelligence and machine learning.
Machine Learning With Python
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Author : Mark Coding
language : en
Publisher:
Release Date : 2020-11-27
Machine Learning With Python written by Mark Coding and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Computers categories.
Are you tired of taking risks, hoping things will pay off big but you are always worried about the risks? Have you been hearing about some of the buzzwords in the world of business like data science, data analysis, and machine learning, but worry they will be too hard for you to catch onto and learn more about? Are you looking for ways to know more about your industry, what products to release, and how to gain a competitive edge overall, without all of the risks? If this sounds like something you have dealt with, then machine learning for Python is the best option for you! This guidebook is going to dive into all of the parts of this that you need to know right now! Inside, we will explore what machine learning is all about, how to add it into Python, and so many of the algorithms and steps you need to really make all of this a reality for your needs. Inside this guidebook, be prepared to take some of the basics of Python and machine learning, and turn yourself into an expert, someone who knows with certainty that all of your decisions are the right ones, and who has data and information to back them all up. Some of the different topics we will discuss in this guidebook to help make this a reality, and to ensure we can learn and make good predictions, includes: -The basics of machine learning and artificial intelligence. -How to work with Python and machine learning to get started with all the options that work with this topic. -How to work with some of the different Python machine learning algorithms out there for you to choose from. -How to work with a model of machine learning and go through the process of having your computer learn on its own. -More examples of how to work with Python and machine learning together. -The importance of working with neural networks and what all of this can mean to your code. -A look at deep learning and data science that can take your machine learning to the next level. -The steps you need to know to get started with data Preprocessing. -A look at where machine learning and more will be able to help lead us to the future. Working with machine learning for Python is an important topic a lot of businesses are diving into now more than ever. They see the value of working with data science, and what this process can do for them in terms of their success and their sound business decisions. When you are ready to learn how to use machine learning for Python for some of your business and data science needs, make sure to take a look at this guidebook to get started
Getting Started With Deep Learning
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Author : Ricardo Calix
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-01-18
Getting Started With Deep Learning written by Ricardo Calix and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-18 with categories.
Ever since 2007 with the explosion in the use of parallel hardware, the field of machine learning has become more exciting and more promising. It seems that the dream of true AI is finally just around the corner. Certainly, there are many companies that are starting to rely heavily on AI for their products. These include companies in search like Facebook, Google, as well as retailers and multimedia companies like Amazon and Netflix. But more recently many others in the health-care and cyber security industries are also interested in what AI and machine learning can do for them. Some of these technologies such as Tensorflow (which came about around 2015) are new and not widely understood. In this book I hope to provide basic discussions of machine learning and in particular deep learning to help readers to quickly get started in using these technologies. The book is not a comprehensive survey on deep learning. There are many topics I do not cover here as too much material can be overwhelming to the un-initiated. There are many good books that cover all the theory in depth and I will mention some of them in the book. Instead, the goal in this book is to help people new to deep learning to quickly get started with these concepts using python and Tensorflow. Therefore, a lot of detail is spent on helping the reader to write his or her first deep network classifier. Additionally, I will try to connect several elements in machine learning which I think are related and are very important for data analysis and automatic classification. In general, I prefer python and I will try to present all examples using this great language. I will also use the more common libraries and the Linux development environment. Many people use SKlearn and I have therefore tried to use this library in the Tensorflow examples so that the focus is mainly on creating the deep layer network architectures.
Beginners Course On Artificial Intelligence
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Author : Emenwa Global
language : en
Publisher: Independently Published
Release Date : 2022-11-26
Beginners Course On Artificial Intelligence written by Emenwa Global and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-26 with categories.
Where do I start? This is one of the biggest questions beginners have when they first enter the world of AI and machine learning. This chapter will help you get started with AI. The most important thing you must learn here is the best language for Artificial Intelligence as a beginner. There are tons of languages that are designed specifically for AI and machine learning. But the best bet for any beginner is Python. I say this because it's the industry standard for machine learning and artificial intelligence. If you get a job in this field, chances are you're probably using Python to do most of your work. It's great because you don't only use it for machine learning, Python can do many other things, and it's probably one of the more accessible languages to pick up and start using as a beginner. I also recommend Python because it has the most modules (libraries) and community support for machine learning and artificial intelligence. I recommend starting with Python. As you get more advanced, you can move into more specific languages, but python is a great one to get started with. Artificial intelligence uses computers and technology to simulate the human mind's problem-solving and decision-making abilities. In its most basic form, artificial intelligence is a field that combines computer science and large datasets to solve problems. It also includes the subfields of machine learning and deep learning, which are commonly referenced in the context of artificial intelligence. AI algorithms are used in these areas to develop expert systems that make predictions or classifications based on input data. In its most basic form, AI (artificial intelligence) refers to systems or robots that mimic human intelligence to execute tasks and can iteratively improve themselves based on the data they collect. AI manifests itself in a variety of ways. Here are a few examples: AI is used by chatbots to more quickly and effectively comprehend client questions and respond accurately. AI is used by smart assistants to extract essential data from massive free-text datasets to optimize scheduling. Based on the watching patterns of consumers, recommendation engines can generate automated recommendations for TV programs. Rather than focusing on one format or function, AI is far more about the process and the ability for superhuman reasoning and data processing. Although ideas of high-functioning, human-like robots taking over the world conjure up images of AI, the technology is not intended to replace people. Its goal is to vastly improve human skills and contributions. As a result, it is a vital commercial asset.
Machine Learning With Python
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Author : Hein Smith
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-11-23
Machine Learning With Python written by Hein Smith and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-23 with Data mining categories.
Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning with Python. Python is a popular and open-source programming language. In addition, it is one of the most applied languages in artificial intelligence and other scientific fields. On the other hand, machine learning is a branch of AI that applied algorithms to learn from data and create predictions. Machine learning is important in predicting the world around us.All the way from self-driving cars to predictions in the stock market, there is no place where machine learning cannot be utilized. Today, it is a top skill in high demand in the job market. For that reason, why not grab a Step-By-Step Guide to Learn and Master Python Machine Learning?You'll discover the steps required to develop a successful machine-learning application using Python and Scikit-learn library. As a discipline, ML tries to design and understand computer programs for purpose of prediction. With a Step-By-Step Guide to Learn and Master Python Machine Learning, you'll learn: The important concepts and real-world application of machine learning. Pros and cons of most popular machine learning algorithms The basics of Python Learn about data preprocessing, analysis, and visualization Preprocessing techniques to use in data Regression methods Clustering Recommendation engines And many moreIf you are serious about machine learning with Python and don't know how to get started, A Step-By-Step Guide to Learn and Master Python Machine Learning is your best tool to use.
Learn Python Programming
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Author : Russel R Russo
language : en
Publisher:
Release Date : 2020-10-30
Learn Python Programming written by Russel R Russo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-30 with categories.
If you are fascinated by Artificial Intelligence but you don't know where to start... If you think that learning Python programming would be cool but you are afraid that it's too hard for you... Well, then you are in the right place, looking at the right book. Artificial Intelligence is the secret behind the big ones, like Google, Facebook, Amazon, and we all know that. But it can also be a powerful tool in your own hands. With this book you will prepare the ground for your future success, either if you want to start up your own AI enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies. If programming will open you many doors, Python programming will open you even more. All the topics covered in this book are selected to give you a broad overview on Python programming for you to have a solid first knowledge without being overwhelmed by useless information. Your learning process is the main goal of Learn Python Programming, then you will find both theory and hands on exercises, so you can immediately experience the possibilities of what you are learning. With this book you will: Learn the smartest way to interact with Python Code your first application Understand the elements of Python you will actually need Easily find your path among Python data, statements, classes and objects See how algorithms will help you making predictions Get tips and tricks to prevent you from getting lost in coding Build a complete program Discover the more effective way to use classes, files and functions As the ancient Chinese philosopher Lao Tsu said: "A journey of a thousand miles begins with a single step". So, even if you don't know anything about coding, let Learn Python Programming be the first step of your thousand miles journey. Buy Learn Python Programming now to start your path of Artificial Intelligence.
Machine Learning For Dummies
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Author : Luca Massaron
language : en
Publisher: John Wiley & Sons
Release Date : 2025-10-20
Machine Learning For Dummies written by Luca Massaron and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-20 with Computers categories.
The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go—and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can't do Learn the basics of machine learning code and how it integrates with large datasets Understand the mathematical principles that AI uses to make itself smarter Consider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.
Harnessing Artificial Intelligence And Machine Learning With Python
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Author : Ian Ebert
language : en
Publisher: Independently Published
Release Date : 2024-12-27
Harnessing Artificial Intelligence And Machine Learning With Python written by Ian Ebert and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.
Unlock the Power of AI and ML with Python Discover the fundamentals of Artificial Intelligence and Machine Learning with Python, and learn how to apply them to real world problems. This amazing guide covers the essential concepts, techniques, and tools needed to get started with AI and ML. Whether you're a beginner or an experienced developer, this book provides a comprehensive information to the exciting world of AI and ML with Python. No prior knowledge of AI or ML is required, just a basic understanding of Python programming.