Undoubtedly artificial intelligence (AI) and data science are touted as the highest paying tech careers. Therefore, it makes perfect sense to keep expanding your knowledge in both technologies. But for this, you need to first learn and hear from the best experts currently working in the industry.
You can easily begin by reading some of the best books to stay in sync as a data scientist. Also, this is by far the best approach to upskill yourself amid the pandemic and work from home culture. Picking the best books and listening to podcasts could be your best go-to approach in the current situation.
However, choosing the best from multiple sets of books and podcasts could be a challenging task. To make it easier, we have chosen the right type of books and podcasts for your convenience. This will save an ample amount of your time.
Whether you’re seeking to brush up skills such as algorithms or data structures or gain in-depth knowledge in machine learning or stay inspired with new data science and big data trends, we’ve got you covered.
Let us first run you through the best set of AI and data science books in the industry.
Data science and AI books
• Introduction to Computation and Programming Using Python, third edition: With Application to Computational Modeling and Understanding Data
Author: John V. Guttag
Description: This book keeps you informed about Python programming. In fact, learning from this book, you can easily gain knowledge in Python programming even though you’re a novice. It elaborates on Python libraries such as Pandas, Scikit learn, Matplotlib, NumPy along with computational techniques and machine learning.
• Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
Author: Samuel Hack
Description: This book is broken down into two distinct books providing simple and easy explanations about the basic working principle of machine learning. It also explains the computational techniques and the
• A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills
Author: Jay Wengrow
Description: This is an ideal book for people having difficulty understanding mathematical concepts and statistical jargon. It unravels the mystery of mathematics and statistics to be very simple. This could be a great start for an aspiring data scientist.
AI podcasts and data science podcasts
. Talking machines
While the team behind talking machines take time to reflect on significant problems such as the Black Lives Matters, we also found both hosts Neil Lawrence and Katherine Gorman starting to build a good amount of libraries of episodes talking about the industry news, discussions with experts on the issue, and some important questions on machine learning.
• Concerning AI
Brandon Sanders and Ted Sarvata extensively spoke about AI in their 70 episodes and how this technology is already affecting the way we work and live. Or even whether this technology is a risk to the society
• Data skeptic
This podcast is centered on topics related to machine learning, AI, and data science. Data skeptics deeply dive into each topic. For instance, an episode with Yuqi Ouyang who is doing his second-year Ph.D. at the University of Warwick, England provides thorough details regarding his ongoing work – “Video Anomaly Detection by Estimating Likelihood of Representations.”
• Lex Fridman
This podcast is not completely about AI and data science. However, it talks more about conversations surrounding the nature of intelligence power and consciousness.
These are some of the best AI and data science books and podcasts ideal for your data science journey.
Ensure you gain the best knowledge from the podcasts and books mentioned.
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