6 Practical Books for Beginning Machine Learning

1. 6 Practical Books for Beginning Machine Learning Artificial intelligence and machine learning are ever-growing fields, and studies surrounding them are also growing. Well, it goes without mentioning that while the advanced implementations associated with Machine Learning we hear about in the news might appear a bit scary and inaccessible, it is a lot easier to grasp the core concepts. There are a lot of good books related to machine learning, but people still end up purchasing the one that is not much effective in clearing the core concepts. In this article, we will be discussing the few key books that might be the best option for beginners out there. If you are just starting out, you must note that these books will prove to be your best option. Well, some of the books mentioned here might require you to have a familiarity with math and some coding languages. However, we need not mention the fact that machine learning is becoming more and more incorporated into our lives. We are talking about that branch of Artificial Intelligence that powers chatbots and are responsible for customizing the shows that are recommended for you. In addition to this, machine learning and artificial intelligence have a vital role to play in the healthcare industry as it is bringing machines that are able to diagnose treatments and even perform surgery. With time, businesses are starting to understand the true value possessed by machine learning, which has resulted in an increased demand for people who are skilled machine learning engineers and data scientists. Books are undeniably one of the best ways to equip yourself with key concepts, trends, and terminology. This article consists of books that are best suited for beginners in the field of machine learning. These books cover everything ranging from general overviews to focus areas such as predictive analytics and deep learning. Top 6 Practical Books for Beginners in Machine Learning Machine Learning An Algorithmic Perspective You can devise from the title of the book that it focuses majorly on machine learning algorithms. In addition to this, you will find a bit of mathematics along with a lot of examples in Python. This book is well-known for its sharp, focused chapters with references and further exercises. Well, if you are someone who thinks of yourself as a programmer and you find yourself having a taste of Python, then this book is highly recommended to you. Programming Collective Intelligence The Programming Collective Intelligence is a highly popular book targeted at equipping students with the best piece of information they require to kickstart their journey. You are going to find lots of exposition along with exercises toward the end of the chapters. In this book, you will find larger examples associated with the web. Additionally, it should be noted

2. that this book is one of the major python-centric books. The major reason why this book is highly recommended is the fact that it is broader and even more cohesive than the other two. Data Mining: Practical Machine Learning Tools & Techniques This book will provide you with an introduction to applied machine learning and not data mining, as the book title suggests. Discussing further, the book lays an emphasis on the algorithms and on the process of applied machine learning. In this book, there are a total of 100 pages dedicated to the companion platform for applied machine learning. If you are looking forward to focusing on the process and using a mature graphical tool, then this book is for you. Machine Learning in Action Machine Learning in Action is a book that focuses on machine-learning algorithms. In this book, you will witness that the book focuses on worked examples in Python (NumPy). One more thing that you need to ponder upon is that this book boasts lots of exposition instead of math. You will find a lot of example code and even large slabs of it in some places, so it is advised that you are already competent in Python before beginning this book. Machine Learning for Hackers We all must know that machine learning goes beyond just algorithms, and there is a lot of process and analysis work. The book is centered around the time spent on the process and analysis. In addition to this, the book involves work problems and examples associated with the R programming language. What’s more? This book will serve as the best introduction to R programming language. The book gives an example of data analysis in the second chapter, which gives a rare example of how to think about and process a dataset even before you start throwing algorithms at it. Applied Predictive Modeling This is yet another R book and assumes that you have prior knowledge of R programming language, and if you have prior knowledge of R, then this book is for you. However, this book is based on the treatment of the process but focuses on the algorithms and their utilization. It involves worked examples in R programming language and is light on mathematics. If you think that you are ready for machine learning, then this is the book for you, as this will equip you with the knowledge of machine learning in depth. Conclusion Machine learning is emerging as a promising field that can take you to career paths such as becoming a data scientist, machine learning engineer, business intelligence developer, and software engineer. If you are interested in the concept of machine learning, then the

3. Specialization in Machine Learning program offered at Data Folkz is the best program for you.