Essential Reads on Data Science and AI: 2021 Recommendations
Written on
Chapter 1: Introduction to AI and Data Science
In today's professional landscape, expertise in AI and data science is invaluable. To stay ahead in these dynamic fields, continual learning through the best literature and podcasts is essential. To simplify your search, I've curated a collection of top recommendations that will enrich your understanding and keep you motivated throughout 2021.
Section 1.1: Must-Read Books on Data Science and AI
- Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills (1st Edition) by Jay Wengrow
- This book simplifies complex computer science concepts, making them accessible even for those who struggle with mathematical jargon.
- Applied Artificial Intelligence: A Handbook for Business Leaders by Mariya Yao, Adelyn Zhou, and Marlene Jia
- A practical guide aimed at executives eager to leverage AI for enhancing productivity and improving decision-making within their organizations.
- Machine Learning: 2 Books in 1 by Samuel Hack
- This resource breaks down machine learning fundamentals and their business applications into digestible examples for beginners.
- Introduction to Computation and Programming Using Python, Third Edition by John V. Guttag
- This comprehensive guide takes readers from no prior Python knowledge to using essential libraries for problem-solving, covering statistical methods and machine learning.
- Data Science from Scratch: First Principles with Python by Joel Gurus
- This book provides an understanding of the mathematical concepts underlying data science, along with practical skills for aspiring computer scientists.
- The Atlas for the Aspiring Network Scientist by Michele Coscia
- Rather than focusing on a single aspect of computational intelligence, this book offers a holistic approach to becoming a well-rounded network scientist.
Section 1.2: Engaging Podcasts on AI and Data Science
- Lex Fridman Podcast
- While not exclusively about data science and AI, this podcast features profound discussions about intelligence, consciousness, and more, keeping listeners engaged and inspired.
- Talking Machines
- Although currently on hiatus, this podcast boasts an extensive archive of expert interviews and practical insights into machine learning.
- This Week in Machine Learning & AI
- New episodes weekly highlight interviews with ML/AI experts on diverse topics, including innovations like empathic teaching robots.
- Learning Machines 101
- This podcast provides a gentle introduction to AI and machine learning, exploring both foundational concepts and advanced topics.
- Concerning AI
- With over 70 episodes, this series dives deep into the implications of AI in our daily lives and its potential risks.
Chapter 2: Further Learning Opportunities
As you explore these resources, consider broadening your knowledge even further. I've compiled an extensive list of over 60 free online courses covering AI, machine learning, deep learning, and data science. These courses are perfect for those looking to advance their skills without financial commitment.
The first video, "AI Book RoundUp – 10 recently published AI books that Ben Jones recommends!" provides an overview of valuable AI literature to enhance your learning journey.
The second video, "7 best machine learning books in 2022," highlights essential reading for anyone interested in machine learning.
Conclusion
What do you think of these curated selections? My aim is not to promote specific titles but to offer a comprehensive bibliography that highlights essential knowledge in AI and data science. These fields are rapidly transforming our world, and staying informed is crucial.
For additional insights, feel free to explore the articles and resources linked below. These will further deepen your understanding of AI and its practical applications.
Stay connected for continuous updates, and let’s embark on this learning journey together!