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TechJengaHub

TechJengaHub

@techjengahub

A platform to learn technologies in simple terms

Katılım Mayıs 2024
6 Takip Edilen4 Takipçiler
TechJengaHub
TechJengaHub@techjengahub·
A tree is a non-linear data structure with nodes connected by edges. Each tree has one root node, and every child has exactly one parent.
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Skilled Coder
Skilled Coder@theskilledcoder·
Simple Explanation of How Docker Works
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Skilled Coder
Skilled Coder@theskilledcoder·
Cloud Concepts Every Developer Should Know
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Google Cloud Tech
Google Cloud Tech@GoogleCloudTech·
At #GoogleCloudNext, we announced BigQuery’s next evolution as an autonomous data-to-AI platform. See how it breaks down silos, provides real-time insights through natural language and agentic automation & can serve as a foundation for transformation → goo.gle/42sW7Je
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TechJengaHub
TechJengaHub@techjengahub·
Start with left & right pointers, move them based on condition
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TechJengaHub
TechJengaHub@techjengahub·
#CodingPatterns Two Pointers: When to use: • Array is sorted or needs scanning from both ends. • Problems like removing duplicates, reversing in-place, or checking palindromes. Tip: Use two indices moving inward or at different paces to reduce time complexity from O(n²) to O(n). #LeetCode
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Google Cloud Tech
Google Cloud Tech@GoogleCloudTech·
Partial ordering mode is now available for BigQuery DataFrames to help you generate more efficient queries. Check out the documentation to learn how to use partial ordering mode → goo.gle/3Yz1E04
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Google Cloud Tech
Google Cloud Tech@GoogleCloudTech·
Gemini in BigQuery provides AI assistance to help you discover, transform, query, and visualize data with BigQuery data canvas. Using natural language, find, join, and query tables, visualize results, and collaborate throughout the entire process → goo.gle/3AkQpin
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Google Cloud
Google Cloud@googlecloud·
What to expect next week at the Startup #GoogleCloudSummit: ⚡ Make the most of rapidly evolving AI breakthroughs 💡 Join top venture capitalists for global insights 💥 Hear how inspiring startups are putting AI into production Register today → goo.gle/3ZLvsaG
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TechJengaHub
TechJengaHub@techjengahub·
Different types of machine learning models: 1. Supervised Learning 2. Unsupervised Learning 3. Semi-Supervised Learning 4. Reinforcement Learning 5. Deep Learning 6. Ensemble Methods 7. Bayesian Models 8. Instance-based Learning​​​​​​​​​​​​​​​​ #MachineLearning
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TechJengaHub
TechJengaHub@techjengahub·
Models in AI and ML are mathematical frameworks or algorithms designed to perform tasks by learning from data. They are central to making predictions or decisions based on their training. #MachineLearning
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TechJengaHub
TechJengaHub@techjengahub·
While initially designed for NLP tasks, transformer models are also being adapted for use in other domains like computer vision and even protein folding, demonstrating their versatility. #MachineLearning
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TechJengaHub
TechJengaHub@techjengahub·
Transformers are the foundation for models like BERT (Bidirectional Encoder Representations from Transformers), GPT (Generative Pre-trained Transformer), and T5 (Text-To-Text Transfer Transformer), which excel in tasks such as machine translation, text summarization, and question answering.
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TechJengaHub
TechJengaHub@techjengahub·
The key innovation of transformer models is the attention mechanism, which allows the model to weigh the importance of different words in a sentence, regardless of their position. This enables more context-aware interpretations than previous models based on recurrent neural networks (RNNs)
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TechJengaHub
TechJengaHub@techjengahub·
Transformers are a type of deep learning model introduced in the paper "Attention is All You Need" by Vaswani et al. in 2017. They have revolutionized NLP with their unique structure that allows for handling sequences of data in parallel, significantly speeding up training.
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