Today we are pleased to present the book Machine Learning and Data Science, Fundamentals, Concepts, Algorithms and Tools by Dr. Milad Wazan, translated by Dr. Alaa Taaima. This book provides a comprehensive overview of machine learning and data science with simplicity and clarity of presentation.
This book can be considered an optional course for final-year undergraduate students and a textbook for graduate students in engineering and computer science specializing in artificial intelligence.
This book can also be a good reference for everyone interested in machine learning and data science, from researchers in various fields to doctors.
We quote this paragraph from the introduction:
Why learn machines?
The amount of data available to us is constantly increasing. Machines use this data to learn, improve, and provide us with results. These results can be extremely useful in providing valuable insights as well as making informed business decisions. Machine learning is constantly evolving, and as a result, machine learning applications are also growing.
We are using machine learning more than we know in our daily lives. Machine learning has entered our daily lives, even without us realizing it. Machine learning algorithms have empowered the world around us. It can be said that the future is already here, and machine learning plays a significant role in shaping our contemporary thinking.
Today, machine learning is getting all the attention it needs. Machine learning can perform many tasks automatically, especially those that only humans can do with their innate intelligence. This intelligence can only be reproduced in machines with the help of machine learning.
With the help of machine learning, businesses can automate routine tasks. It also helps in automating and creating models for data analysis. Various industries rely on large amounts of data to improve their performance and make intelligent decisions. Machine learning helps in creating models that can process and analyze large amounts of complex data and provide accurate results. These models are accurate, scalable, and work in less time. By building such accurate machine learning models, businesses can tap into lucrative opportunities and avoid unknown risks.
Image recognition, text generation, text classification, disease diagnosis, and many more are being used in the real world. Hence, it increases the scope for machine learning experts to shine as professionals.
Additionally, many companies are lagging behind in the tech space due to the rapid pace of technological leaps. Digital transformation is a huge industry and the fact of the matter is that there are not enough machine learning experts to meet the needs of the new industry.
If you want to take your career to the next level, machine learning can do it for you. If you are looking to get involved in something that makes you a part of something global and contemporary, machine learning can do it for you.
Book Contents
Chapter 1: Data Science
Chapter 2: Introduction to Python
Chapter 3: Data
Chapter 4: Introduction to Machine Learning
Chapter 5: Model Selection and Evaluation
Chapter 6: Supervised Learning
Chapter 7: Deep Learning
Chapter 8: Unsupervised Learning
Chapter 9: Selected Topics
