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Data Science News
Medium
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Instagram now allows scheduling direct messages
- Instagram now allows scheduling direct messages.
- The scheduled DMs feature is being introduced for all users.
- Messages can be scheduled for up to 29 days.
- This feature is limited to people with professional Instagram accounts.
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Medium
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344
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Understanding Generative Adversarial Networks (GANs)
- The generator network of GANs transforms random noise into meaningful data through a series of convolutional layers.
- The discriminator network distinguishes between real and generated samples and provides binary classification output.
- The theoretical foundation of GANs relies on probability theory, game theory, and information theory.
- Training process of GANs is based on a minimax optimization problem that involves updating the generator and discriminator networks.
- Several GANs architectures like StyleGAN, CycleGAN, and Self-Attention GAN have been developed to provide better control, stability, and flexibility.
- Mode collapse, vanishing gradients, and poor convergence are some of the major challenges faced during GANs training.
- GANs have been used in various domains including image and video processing, generating synthetic datasets, identifying outliers, and data-intensive fields.
- The future of GANs includes higher-quality and multimodal outputs, controllable generation, and AI-generated creativity and art.
- GANs also pose ethical concerns such as deepfakes, privacy and data security, intellectual property, fair use of synthetic data, and bias in AI models.
- Regulation and responsible use of GANs are necessary for the development and growth of the technology.
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Medium
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137
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Building an Enhanced RAG System with Query Expansion and Reranking in Python
- RAG systems improve over purely generative or retrieval-based approaches but face challenges.
- Enhanced RAG systems address these challenges through query expansion and reranking.
- Query expansion enhances retrieval recall, while reranking prioritizes relevant documents.
- The Enhanced RAG System implements a high-performing pipeline for retrieval-augmented generation.
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Medium
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294
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Automated Fake News Detection
- Automated fake news detection is revolutionizing media trustworthiness by tackling bias and misinformation with advanced AI models.
- Automated fake news detection aims to combat the spread of misinformation and influence on public opinion.
- The challenge lies in creating algorithms that can identify false information while considering the ethical implications.
- Technology plays a crucial role in ensuring media reliability and restoring trust in news sources.
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Dev
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361
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Enhancing LRU Cache with Configurable Data Persistence
- In this article, we explore how to extend an in-memory cache with configurable data persistence.
- The goal is to design a flexible and scalable caching system that decouples storage mechanisms from the caching logic.
- The article leverages the Adapter and Strategy patterns to create an extensible system that allows seamless integration of databases or services as needed.
- A shared API abstraction, akin to ORM systems, ensures storage such as localStorage, IndexedDB, or even a remote database can work interchangeably with minimal code changes.
- The cache is agnostic of storage details, and there is a flexible runtime selection of storage backend using the Strategy pattern.
- Additionally, the article demonstrates best practices for singleton cache, async initialization, and lazy loading.
- This design is robust and is available in the form of an npm package—adev-lru.
- The article provides scope for further enhancements, such as optimizing sync logic for better performance.
- The full source code for the adev-lru repository is available on GitHub.
- The author welcomes contributions to make this caching system even better.
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Analyticsindiamag
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208
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Sam Altman Turns a Hype Master
- OpenAI fails to meet expectations with their '12 days of Shipmas' event as they released old features with minor updates or offered tools that competitors had already provided long before.
- On the other hand, Google responded with a blog post containing demo videos hidden inside, trumping OpenAI for attention with the Gemini Advanced subscribers service.
- OpenAI hinted at AGI (Artificial General Intelligence) in demo screens without explicitly mentioning it. The company ended the 12 days of Shipmas with the release of the o3 series of models, which is not AGI.
- François Chollet, creator of Keras and a former Google researcher, built the only AI benchmark that measures progress toward general intelligence, the ARC-AGI benchmark. The O3 model scored almost 90% on the benchmark, exceeding human performance, but Chollet was dissatisfied.
- Reports indicate that OpenAI may eliminate the AGI clause, currently in place to avoid negatively impacting Microsoft as they would lose access to OpenAI's models.
- Sam Altman, the new CEO of OpenAI, said he expects that by the end of 2025, there will be systems that can do truly astonishing cognitive tasks, though the term 'AGI' has drifted from its original meaning.
- OpenAI will continue to pursue the five levels of AI, with the ultimate level involving organizations that can carry out all the functions of a company autonomously without human participation.
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Medium
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173
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Mastering Seaborn: The Art of Data Visualization
- Scatter Plots: Perfect for bivariate analysis and uncovering correlations. You can add hue, style, and size to represent multiple dimensions in a single plot.
- Line Plots: The go-to choice for analyzing time-series data or showcasing trends across continuous variables.
- Facet Grids: Designed for categorical data, these plots make it easy to split and organize data, revealing patterns across multiple categories.
- Seaborn is a versatile tool for crafting data stories through visualization techniques.
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Medium
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74
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Gen AI for Business # 36 Holiday Edition: 12 Biggest Gen AI Stories in 2024
- OpenAI continues to lead in generative AI with GPT-4 Turbo, multimodal capabilities, and ChatGPT app ecosystem, while competitors are throwing money like confetti.
- NVIDIA is the Gen AI MVP of 2024 with their GPUs and partnerships. Deployments across healthcare, finance, and manufacturing are everywhere.
- Gen AI pilots and projects saw a focus on ROI as the hype faded, while 40% of companies piloting AI projects shelved them due to unclear value metrics or ballooning implementation costs.
- Generative AI’s power consumption now accounts for nearly 2% of global electricity consumption, and it’s shaping global energy policy.
- With current data being a scarce, regulators are looking to create frameworks and marketplaces where enterprises can securely exchange anonymized datasets.
- AI regulation hit in 2024 with governments laying out strict measures and fines for non-compliance. Copyright regulations took center stage in regulating how AI scrapes data.
- In 2024, AI reshaped global power dynamics with nations racing to dominate the technology while corporations scrambled to stay neutral.
- 70% of AI startups funded in the last three years are operating at a loss, while finance and healthcare redefined how AI can revolutionize industries.
- In 2024, domain-specific and multilingual LLMs that excel in specialized corners of the world dominated the headlines with industries and countries investing heavily in them.
- On-device AI dominated with companies like Apple, Qualcomm, and Lenovo delivering AI models on phones, laptops, and IoT devices for better and faster personalized experiences.
- AI and humans figured out how to play nice together. While AI automated many tasks, it created new opportunities and roles for humans to amplify what we do best. The best breakthroughs of the year were humans and AI teaming up.
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Medium
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374
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25 Hours Only: Unlock Elite Consulting — Unstoppable Results — $2,025/Hour
- This is your exclusive opportunity to secure elite consulting tailored for high-IQ decision-makers who demand exceptional outcomes — fast.
- For 25 hours only, I’m offering a high-impact consulting package designed for top performers, delivering transformative results under pressure.
- Slots are intentionally limited to prioritize quality over quantity, with only 4.3 slots available.
- Investment: $2,025/hour. Contact: https://wa.me/61448907587 or https://t.me/xDiamondxxx
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Medium
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203
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Data-Driven Strategies for Smarter Pricing Decisions
- Regression analysis quantifies the impact of factors on pricing outcomes.
- It helps answer questions about factors influencing sales and improving revenue.
- The workflow includes framing the problem, gathering and cleaning data, selecting the right regression technique.
- Regression analysis can be enhanced with machine learning for advanced pricing models.
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Medium
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23
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Morning Routines of Successful Creatives
- Many successful creatives prioritize mindfulness practices like meditation or journaling in the morning to center the mind, reduce stress, and increase clarity.
- Engaging in physical activity, such as exercise, stretching, or yoga, is another common habit among successful creatives. It helps boost mood, improve focus, and stimulate creative thinking.
- Setting intentions for the day is important for successful creatives. It helps them stay focused, prioritize tasks, and maintain productivity.
- Having a consistent morning routine helps successful creatives cultivate a productive and fulfilling day, allowing them to approach their work with a clear and calm mind.
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Medium
2d
127
Revolutionizing Healthcare: AI-Powered Medical Report Analysis and Classification
- This innovative project leverages cutting-edge Natural Language Processing (NLP) techniques to automate the extraction and organization of data from medical PDF reports.
- The impact of this project spans across various domains.
- The system currently achieves 85% accuracy — an impressive benchmark for a zero-shot classification model that doesn’t require task-specific training.
- Future plans include integrating Optical Character Recognition (OCR) for image-based text extraction and fine-tuning the model with domain-specific datasets to improve accuracy.
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Medium
2d
391
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How to Use Transfer Learning the Right Way: A Beginner’s Guide
- Transfer learning is a technique in machine learning that involves using knowledge gained from solving one problem to help solve a different but related problem.
- It allows models to leverage pre-trained neural networks and the experience acquired from solving previous tasks.
- For example, if a neural network has been trained to classify products, it can be used as a starting point for training a new network to classify different types of products.
- Transfer learning is a powerful tool that can save time and computational resources while still achieving high accuracy in new tasks.
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Dev
2d
155
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LeetCode Meditations: Number of 1 Bits
- Given a positive integer n, write a function that returns the number of set bits in its binary representation (also known as the Hamming weight).
- One way to count the set bits is by converting the number to a string or array and counting the 1s. However, a more efficient approach is to use bit manipulation.
- By continuously performing the AND operation of n and (n - 1), we can remove the rightmost set bit and count each set bit as we go.
- The time complexity of this approach is O(log n), and the space complexity is O(1).
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Medium
2d
241
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Day In Life As A Disney Data Analyst
- The author studied Psychology at the University of Buenos Aires and learned data science during their bachelor's.
- After applying to over 50 jobs, they landed a job at the Walt Disney Company.
- As a data analyst at Disney, they analyzed data from Star+ and worked on reports, automation, and forecast models.
- They also compared the performance of series in different regions, such as the popularity of 'The Boss' in Argentina.
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