Whether you’re a data scientist or a data science enthusiast, keeping up with the latest trends and research can be daunting. With so many data science resources available today, how do you know which are the most worthwhile to read daily?
Thankfully, we’re here to help! Our Deep Learning team at AssemblyAI regularly frequents these seven blogs listed below to read about industry trends in the field of data science, find new research, and interact with the wider community of data scientists. In fact, staying in touch with this data science community helps us do our job better, including helping us ship weekly updates to our Speech-to-Text API.
Top Data Science Blogs:
If you’re looking for a new data science blog to follow, check out our team's top picks, as well as recommended readings, below!
1. Data Science Central
Data Science Central is a free contributor website for data scientists and enthusiasts. In addition to free content, the website also offers a free membership and newsletter subscription, which gets you access to members-only pages, data science eBooks, code snippets, cheat sheets, tutorials, webinars, and events.
Frequently updated content includes deep dives into topics like Deep Learning, Machine Learning, data science, blockchain, AI, statistical science, data security, business intelligence, computational statistics, and more.
Interesting Posts to Read First:
- 12 Algorithms Every Data Scientist Should Know
- New Perspectives on Statistical Distributions and Deep Learning
- 40 Techniques Used By Data Scientists
- 15 Deep Learning Tutorials
Read here.
2. insideBIGDATA
Similar to Data Science Central, insideBIGDATA is a contributor website and news outlet that compiles the latest news, products, services, and strategies in data science, big data, Machine Learning, Deep Learning, and AI. Typical content includes articles, tutorials, webinars, editorials, industry perspectives, white papers, special reports, and more.
The site is run by Amulet Analytics’ data scientist Daniel D. Gutierrez and technical publisher Stephanie C. Ellars.
Interesting Posts to Read First:
- What Can the Video Game Industry Teach Us About Data Management?
- 2022 Trends in Artificial Intelligence and Machine Learning: Reasoning Meets Learning
- The Amazing Applications of Graph Neural Networks
- Infographic: The Rise of No-Code Development Platforms
Read here.
3. BAIR Berkeley Blog
The BAIR blog is the official blog of Berkeley Artificial Intelligence Research. The blog aims to provide accessible content that distills the latest BAIR research, industry news, and field perspectives.
Articles are published approximately every two weeks by authors that include BAIR faculty, students, and post-docs.
Interesting Posts to Read First:
- Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
- Designs from Data: Offline Black-Box Optimization via Conservative Training
- Distilling neural networks into wavelet models using interpretations
- Unsolved ML Safety Problems
Read here.
4. Datafloq
Datafloq is another data science contributor website featuring expert articles, data science job postings, events, forums, and a data science company database.
Content centers around big data, data science, blockchain, AI, and emerging technologies topics aimed toward both consumer and technical audiences. New articles are posted daily.
Interesting Posts to Read First:
- Applications of Sentiment Analysis
- How Brain-Computer Interfaces Will Change Our Relationship with Computers
- Data Quality - The Hidden Enabler of Security and Compliance
- Business AI Trends and Innovations for 2022
Read here.
5. KDnuggets
KDnuggets features user submissions and expert articles across data science, AI, Deep Learning, Machine Learning, NLP, data visualization, Python, and statistics. Articles cater to a technical audience and reach over 450,000 subscribers and 800,000 unique visitors each month.
In addition to blog content, KDnuggets features tutorials, data sets, certificates, events, job postings, webinars, and educational courses.
Interesting Posts to Read First:
- 5 Tasks to Automate with Python
- Design Patterns for Machine Learning Pipelines
- Path to Full Stack Data Science
- Four Basic Steps in Data Preparation
Read here.
6. Towards Data Science
Towards Data Science is the blog companion site of the popular data science podcast. The website was developed as a platform for data scientists to share ideas and build on understandings in the field. A team of data science expert editors curate the contributor-submitted content.
The data science blog has over half a million current subscribers.
Interesting Posts to Read First:
- Robust Decision Making in the Era of Machine Learning
- What length of dependencies can LSTM & T-CNN really remember?
- Orchestrate a Data Science Project in Python With Prefect
- Modeling uncertainty in neural networks with TensorFlow Probability
Read here.
7. Machine Learning Mastery
Machine Learning Mastery is an excellent resource for data scientists and data science enthusiasts. The site posts new blogs every few days and also has quick start guides, tutorials, and ebooks across a wide range of topics, including neural networks, Python, Machine Learning, Deep Learning, and more.
The site is run by Dr. Jason Brownlee, a machine learning practitioner with a Master's and Ph.D. degree in Artificial Intelligence.
Interesting Posts to Read First:
- What is a Gradient in Machine Learning?
- Optimization for Machine Learning Crash Course
- Face Recognition using Principal Component Analysis
- Why Optimization Is Important in Machine Learning
Read here.
