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The Complete Collection of Data Science Books – Part 2

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

The Complete Collection of Data Science Books - Part 2
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Editor's note: For the full scope of Data Science Books included in this 2 part series, please see The Complete Collection of Data Science Books – Part 1.


The data science books have been an influential part of my data science journey. The Deep Learning for Coders with Fastai and PyTorch has made me think outside the box about deep neural networks and how we approach almost any machine learning issue. I am in love with NLP books and how they come with GitHub repositories, Jupyter notebooks exercise, and easy to explore options. Data Science at the Command Line is one of the books that are now available online (documentation style) with the ability to search terms, navigation, and copy the code directly to test the example. It provides an interactive reading experience for free. 

In this two-part series, I will share the best books on all of the subfields of data science. You can buy the hard copy or simply get access to the online version or download the PDF/EPub/Kindle. Some books are website-based and can be accessed for free. 

In the second part, we'll be reviewing books on:

  1. Machine Learning
  2. Deep Learning
  3. Computer Vision
  4. Natural Language Processing
  5. MLOps
  6. Robotics
  7. IoT
  8. AI Products Management
  9. Data Science for Executives
  10. Data Science Super Books


Machine Learning


It is the most popular term in the field of data science. Most data professionals have to perform some kind of machine learning task, even if it is developing a simple linear regression model. These books will teach you the  basic and advanced concepts with code examples on the most popular frameworks. 


Deep Learning 


After simple machine learning we dive into the world of deep neural networks. It is the sub field of machine learning, and it is evolving the world rapidly. From computer vision to intelligent chat bots. You are interacting with them on a daily basis. These books will teach you how to create your first deep learning model and introduce you to the subfield of deep learning technologies. 


Deep Learning for Coders with Fastai and PyTorch
Detailed training loop | Deep Learning for Coders with Fastai and PyTorch


Computer Vision


Computer vision is high in demand, and with the help of deep learning, this field is dominating the world. You can find it in warehouse management, robots, self-driving cars, facial recognition, generative art, and even in modern weapons. 


Natural Language Processing 


Learn how to create machine translation, automatic speech recognition, summarizer, text & audio classification, and conversation bot. Natural Language Processing is a whole new world in data science. You are interacting with audio, visual, and text data to make sense of context and words. With the introduction of transformers, this field has seen a real boost in research and development. We are now training models with 176 billion parameters - bigscience


Natural Language Processing with Transformers
The transformers timeline | Natural Language Processing with Transformers




You will learn to create machine learning pipelines, deploy the application on the cloud, maintain multiple databases, and learn to automate all of the processes. Machine learning operations are driven by developing operations where engineers automate processes, monitor metrics, and manage multiple systems. If you want to become future-proof, invest your money and time in learning MLOps. 




It is not a core part of data science, but it has been part of artificial intelligence for a long period. You can learn to train and develop your machine learning model on Raspberry Pi using Python or create edge applications. Robotics is the future, and if you want to stay relevant, I will highly recommend you to at least learn the basics. 




The Internet of things is everywhere. These are smartphones, smartwatches, sensors on the wall, and even your digital fridge. We are surrounded by these sensors that are collecting and generating large amounts of data every hour. You will learn to build server-side applications with Rust and integrate them with Raspberry PI and the cloud system. You will also learn about smart cities, IoT security, and Tensorflow Lite on microcontrollers. 


Image from Practical IoT Hacking


AI Products Management


You cannot put any MBA graduate to manage data teams. This business person needs to understand how these systems work and how to manage the data. AI product manager involves in procuring and processing data, creating strategies for labeling the data and understanding the business issue and purpose solution. To become a successful AI manager, you will need both business understanding and technical expertise. 


Data Science for Executives


The non-technical books for higher managers and executives who are responsible for making decisions based on ROI and growth potential. You will learn how other companies are getting better at managing data projects and how to leverage machine learning to drive business. 


Data Science Super Books


These books cover all parts of data science, from statistics to advanced machine learning algorithms. You will review data science interviews, understand how to manage data, and learn all the basics to get started. 

One book to rule them all. 


Closing Thoughts


Data science is not just statistics and coding. We need to understand business problems and come up with optimum solutions. Not everything is solved by machine learning. We also need to comprehend how MLOps and other integrated systems are essential for the success of the data application. 

In the previous part, we have reviewed books on Programming Languages, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture. 


"I will highly recommend you to bookmark both pages so, instead of searching books online, you can have access to the best book in the specific field of data science."

Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master's degree in Technology Management and a bachelor's degree in Telecommunication Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.