Remove Clustering Remove Data Wrangling Remove Deep Learning Remove Natural Language Processing
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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

5. Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data. ImageNet).

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How to become an AI Architect?

Pickl AI

Gain hands-on experience in implementing algorithms and working with AI frameworks such as TensorFlow , PyTorch, or scikit-learn. Learn Machine Learning and Deep Learning Deepen your understanding of machine learning algorithms, statistical modelling, and deep learning architectures.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

Knowledge in these areas enables prompt engineers to understand the mechanics of language models and how to apply them effectively. These outputs, stored in vector databases like Weaviate, allow Prompt Enginers to directly access these embeddings for tasks like semantic search, similarity analysis, or clustering.

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All You Need to Know about Transitioning your Career to Data Science from Computer Science

Pickl AI

Common libraries in Python, such as pandas and NumPy, are essential for data cleaning, preprocessing, and transformation. Gain experience in working with datasets, data wrangling, and data visualization. Study machine learning: Understand the principles and algorithms of machine learning.