Download PDF Book Of Introducing Data Science: Big Data, Machine Learning, and more, using Python tools By Davy Cielen, Arno Meysman, Mohamed Ali

Download PDF Book Of Introducing Data Science: Big Data, Machine Learning, and more, using Python tools By Davy Cielen, Arno Meysman, Mohamed Ali:

 "Introducing Data Science: Big Data, Machine Learning, and more, using Python tools" is a book that provides an introduction to data science using Python tools. The book was written by Davy Cielen, Arno Meysman, and Mohamed Ali, who are experienced data scientists and educators.

The book is divided into three parts:

1. Introduction to Data Science: This section covers the basics of data science, including data cleaning, visualization, and statistical inference. It also covers the use of Python tools for data analysis, such as pandas, NumPy, and Matplotlib.

2. Big Data and Machine Learning: This section covers big data processing using Hadoop and Spark. It also covers machine learning algorithms, such as linear regression, logistic regression, and decision trees. The section also covers the use of deep learning algorithms for image and text analysis.

3. Real-World Data Science: This section covers the use of data science in real-world applications, such as recommender systems, fraud detection, and customer segmentation. It also covers the use of data science in specific domains, such as finance and healthcare.

The book provides practical examples and code snippets using popular Python libraries for data science, such as pandas, scikit-learn, and TensorFlow. It also covers best practices for data preparation, model tuning, and error analysis.

"Introducing Data Science" is suitable for data scientists, machine learning practitioners, and anyone interested in learning about data science using Python. The book assumes some familiarity with Python programming and basic data analysis concepts.