Google Cloud
Google Cloud is one of the best AI tools for beginners to develop hands-on skills in data science. It is also the top choice for data engineering and ML engineering. Users can use its GPUs and TPUs to compute data and unlock its potential value.
Features
- Complete suite for data management, machine learning, and data analytics
- Data discovery and valuable data source ingestion
- Full governance of data
- Business intelligence and data analysis
Pros
- Train and use ML models
- Responsible AI for data science
Cons
- Complex pricing plans
- Its learning curve is steeper than other AI tools
- SDK API sometimes faces destabilization issues
Pricing
- It offers free credits worth $300 every month.
- Pay As You Go: Custom pricing
- Premium: Custom pricing
Visit site: Google Cloud
Which AI Tools are Recommended for Data Science Beginners?
Data, in this modern age, is the new oil. According to Clive Humby, it is of no use when it is unrefined. Analyzing data can reveal many new things about almost anything. It can be related to healthcare, technology, marketing, finance, or any industry. You name it and discover how data analysis is changing the game.
Data science beginners learn how to harness the potential of a vast data set by using specific tools. These days, Artificial Intelligence (AI) has revolutionized the way we see data. Such tools can see the unseen by doing predictive analysis, sentiment analysis, fraud detection, recommendation systems, and decision-making insights.
For beginners, learning how to extract information from data becomes a lot easier with certain AI tools. Let us take a quick look into ten such free AI tools for data science for beginners.
10 Best AI Tools for Data Science Beginners
- Jupyter Notebook
- Google Colab
- AutoGluon
- DataRobot
- Streamlit
- TensorFlow Playground
- Kaggle Learn
- Vertex AI from Google
- Google Cloud
- H2O AutoML