You're getting it wrong It's not about a good college in India but a low avg salary compared to US.
+ Many other factors easily outshine abroad education
@avikumart_
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Education vs Salary: Why India’s Economic Reality Matters More
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Automated Data Labeling with Generative AI Webinar July 12
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WEBINAR ALERT An interesting webinar on automated data labeling using gen AI is being organized by Clarifai Topic: Automated data labeling using generative AI
Date: 12th July
Time: 9 am PT Don't forget to join the sign-up for this webinar https://
clarifai.com/events/automat
e-data-labeling-using-generative-ai
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Essential Unsupervised Learning Concepts Explained
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Check out the detailed blog using the link below and make sure you follow on Medium to stay updated https://
medium.com/@avikumart_/mu
st-know-concepts-of-an-unsupervised-learning-9362bbe2e01a
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K-means Limitations with Non-linear and Categorical Data
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The k-means algorithm is not suitable for non-linear datasets with categorical features. It assumes the dataset to be linear and a non-linear dataset can result in incorrect clusters in the dataset. -
5 AI Tools to Maximize Data Science Productivity
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5 tools to use to maximize your data science productivity 1) ChatGPT by OpenAI
2) Bard AI
3) Generate Presentations – @BeautifulAI_ 4) Meeting summarizer – @tldview 5) Generate synthetic data using Gen. AI – @gretel_ai -
Deployment and Monitoring Critical in MLOps
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Yes, deployment and monitoring both are super imp in mlops
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Streaming: Real-time Prediction Processing for Data Streams
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3) Streaming Streaming is a process of generating predictions for a stream of data as it arrives. This is in contrast to batch prediction, where the entire dataset is processed before any predictions are generated.
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Real-Time Model Inference Streaming for Low-Latency AI Applications
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Streaming is typically used when the data is arriving in real time, or when the latency requirements are very low. A typical example of this kind of model inference is the social media feeds, movie recsys, etc.
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Batch Prediction: Generating Multiple AI Predictions Simultaneously
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2) Batch prediction Batch prediction is a process of generating predictions for a set of data points in one go. This is in contrast to online prediction, where predictions are generated for individual data points as they arrive.
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Batch Prediction: When to Use Large-Scale Data Forecasting
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Batch prediction is typically used when the number of data points to be predicted is large, or when the latency requirements are not as stringent as for online prediction.