You can learn about technology topics from various sources. Some people prefer to head over to YouTube and watch informative videos on the latest fraud detection software on the market. Others prefer to consult academic articles that delve into ideas such as open source software.
One place where you can get more information on these topics is through books. Focusing specifically on the subject of machine learning (ML), we will highlight some books that delve into this topic.
Table of Contents
Definition of ML
When conducting a search for ML books, you will be inundated with texts that delve into this process. Before taking a deep dive into this algorithm-centric app, it helps to have a basic understanding of what this type of learning is. For starters, this form of deep learning is an application of artificial intelligence (AI) by which a computer system can use algorithms to find patterns in data. The competitive advantage for companies using soluciones de aprendizaje automático is that these computer programs can find such patterns without being prompted to do so. They also do not need the help of data scientists or any human operator to perform these functions.
In many companies in the United States, AI-centric ML is the engine of technological advancement. These machine learning algorithms are also involved in many of the artificial intelligence applications that currently exist in many industries. The various uses of this technology tool are recognized by companies such as the industry leader in TIBCO data software. An example of this application is the machine learning algorithms used in digital marketing. When an ad agency focuses on marketing for clients, it is all about personalization. The goal is to focus on a specific customer, making them feel like they are the only target of a digital marketing campaign.
The ML can help with the customization process. Using a variety of big data compiled from customer interactions, ML helps personalize your approaches to potential customers. This will help them build a partnership with customers by targeting them with the right digital marketing messages. This can be done through personalized emails and cross-selling based on your recent purchases. This will ensure customer satisfaction thanks to the meaningful information obtained from these data sources. This is machine learning at its core – an AI-based data analytics system that can be used to assist end users in various fields.
The 100-page book on machine learning
There seems to be a book for almost everything. From how to fix a car to the best places to go on vacation, books provide meaningful information on a host of topics. This extends to machine learning. One of the best places to get information about technological advances or tools like machine learning algorithms is on the pages of these volumes. The important thing is that there is no shortage of machine learning books to choose from.
One of the most popular texts on this topic is “The Hundred-Page Machine Learning Book”. This book leans more toward the beginner-level side of learning about this artificial intelligence-inspired process. The book is written by Andriy Burkov in an easy to understand way and helps on some fronts of the machine learning process. It teaches readers to build and appreciate complex AI systems, while focusing on the anatomy of a learning algorithm.
Machine learning for hackers
Another popular machine learning tome that guarantees customer satisfaction is “Machine Learning for Hackers: Case Studies and Algorithms To Get You Started.” This book is intended for more experienced programmers who are interested in the crunch of a variety of big data. By referring to “hackers,” the book addresses more to mathematicians. The goal of the volume is to provide meaningful information on how machine learning can be appliedto real life. Some of the topics covered in the book include linear regression and the use of optimization techniques. If you are looking for a book that provides you with an excellent insight into this branch of artificial intelligence, “Machine Learning for Hackers” should be added to your reading palette.
