Vertex AI from Google
Vertex AI from Google is one of the best AI tools for data science for beginners. This AI platform offers a fully managed interface for generative AI building and use. It offers an AI studio, an agent builder, and more than 130 foundation models.
Features
- API integration available
- Gemini 1.5-powered AI platform
- Text, image, video, and code prompts
- Its Gemma offers open models
Pros
- 130+ generative AI tools and models
- Integrated AI platform
- ML Ops tools for generative AI and predictive AI
Cons
- Pricier than the other AI tools for data science
- Smaller training sets result in suboptimal model accuracy
Pricing
- It offers a $300-worth free trial for 90 days.
- Image data: $3.465/node hour onwards
- Video data: $3.234/node hour onwards
- Tabular data: $21.252/node hour onwards
- Text data: First 1000 pages free every month and then $1.50/1000 pages onwards
- AutoML: $21.25/hour
Visit site: Vertex AI from Google
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