Machine Programming

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

Machine Learning is now an essential component of many industrial uses and studies, but this field isn't exclusive to large businesses with extensive research crews. In case you are using Python, whilst a newcomer, this audiobook will educate you on practical methods to assemble your Machine Learning solutions. Considering all the current info available now, Machine Learning software is limited only by your imagination. You will study the steps required to generate a prosperous machine-learning application with Python and the sci-kit-learn library.

Do you want to master machine learning? This guide explains everything you need to know to finally fully understand machine learning and how you can use it to revolutionize your business and give your marketing plan a boost in the right direction. Each section is chockful of information about this branch of artificial intelligence that’s based on the idea that systems can identify patterns, learn from data, and make decisions with minimal human intervention.

"LA IA ESTÁ AQUÍ” te lleva a un emocionante viaje al mundo de la IA. Este interesante y educativo libro te mostrará las maravillas de la IA de una forma divertida y fácil de entender. Descubre cómo la IA está cambiando casi todos los aspectos de nuestras vidas, y cómo se convertirá en una característica de nuestro futuro. Aprenderás sobre la interesante historia de la IA, desde las primeras ideas sobre ella en la antigüedad hasta las increíbles innovaciones que llevaron a su nacimiento en la década de 1950. Sigue adelante mientras la IA se desarrolla y se convierte en parte ...

Written for programmers, business leaders, and investors, Aligned gives over 20 sample products that coders and developers can build today to support K12 education and shows the listener why these products would have a positive impact. This not only gives products that companies can build right now, it also gives listeners reliable models of how the classroom works so they can envision additional products that will be truly impactful.

Are you new to machine learning and looking to eventually launch a career in Python? Do you want to learn how to do machine learning with Python but you have problems getting started? Machine learning is a subject that has quickly become popular in a wide range of domains, such as data science and artificial intelligence among others. The use of machine learning in these domains offers incredible opportunities. If you are just starting your career, this could just be the best decision you make.

Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you'll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python's scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web.

By the end of this audiobook, you'll have gained a deep understanding of GPT-4's true potential and a wealth of practical knowledge on how to harness its power in your life. Get ready to embark on a thrilling journey that will leave you eager to embrace the limitless possibilities offered by GPT-4. So, are you ready to transform your life? Dive into this fascinating audiobook and find out!

Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved. Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination. In this book, I provide you with an overview of machine learning and some practical work to get your hands dirty.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.

If you need to learn how to use machine learning, big data, data science, and neural networks but you can’t (or there is no time to) study the complicated math and algorithms behind these technologies, then keep reading. All technologies related to artificial intelligence represent an incredible opportunity if you want to grow your business or if you are searching for a new job, but it’s not very easy to understand how they work.

How we can get more joy from our machines by telling them what our hearts desire. In this informative, accessible, and very funny book, Michael L. Littman inspires listeners to learn how to tell machines what to do for us. Rather than give in to the fear that computers will steal our jobs, spy on us and control what we buy and whom we vote for, we can improve our relationship with them just by learning basic programming skills. Our devices will help us, Littman writes, if we can say what we want in a way they can understand.

If you are an experienced coder or a beginner looking for the first time at this topic, the only thing you really need to know is that Python is one of the most requested and used languages, and there is no sign of change in the future. This is why Python programmers are among the most valued professionals and, therefore, well-paid. This is certainly one very good reason, I think, to start learning more about this topic. Don’t you agree?

Have you ever paused and wondered why some companies like Amazon know what you like and make timely recommendations to you? Have you noticed that some ads are really "sticky" and seem to follow you from your favorite websites to your Facebook or LinkedIn? Everyone hates spam emails and if you have email accounts from different email providers, you can see which is doing a better job in filtering them out for you. Machine learning has become an important backend pillar for technologies to innovate and improve.

Transform your career in just a few hours with Python data science mastery—even if you've never written a line of code before! Have you ever felt overwhelmed at the thought of learning data analysis in Python? Do you worry that without a computer science degree, you'll never be able to visualize and analyze data effectively? Are you eager to bring data-driven insights into your career but don’t know where to start?

Machine learning is everywhere. It is time for you to start learning what machine learning is all about, and you can do that with this book. Discover what neural networks are, about python and machine learning, examples of machine learning, how machine learning is beneficial to you, and so much more.

Artificial Intelligence isn't coming. A.I. is here now. This book explores A.I. from the inside out. From the early days of college bulletin boards (BBSes), and MOOS and MUDS to the ChatGPT of today that pumps out content to consume including entire books. This book is completely human-created. It may be the last of its kind on A.I. Learn the history, the present, and future of A.I. in an understandable way and how it will affect you.

Data are no longer just information but a resource that is growing exponentially. There are many powerful ways to store and manipulate data and there are many helpful data science tools that you can use to begin conducting your own analyses. If you are willing to understand more, this audiobook is a crash course on data science.

This boxed set includes two titles: Book 1: Machine Learning - This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few examples of the different types of machine learning. Book 2: Neural Networks - Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex, non-linear relationships and are used in forecasting, image processing, and character recognition.

The computer world has acquired a wide range of sorts of individuals. Some are keen on making cash making their very own projects to offer to other people. Here, we will investigate somewhat about Python and why it is regularly favored over the other two programming alternatives. Machine learning is a use of artificial intelligence (AI) that gives software the capacity to naturally learn and improve without being unequivocally modified. Machine learning centers around the improvement of computer programs that can get to data and use it to learn for themselves.