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Data Science News
Medium
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127
Image Credit: Medium
The ‘Coding Gurus’ You Follow Are Secretly Lying to You
- The idea that there’s a single best language to start with is nonsense.
- Your first language isn’t that important - learning how to think like a programmer is what matters.
- Don't believe the myth that you need to memorize complex data structures to be successful.
- Focus on logic, debugging, and problem-solving skills instead of specific languages.
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Towards Data Science
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192
Master the 3D Reconstruction Process: A Step-by-Step Guide
- Understanding the 3D Reconstruction process is essential for creating high-quality reconstructions, which involves structured steps building spatial information from flat images.
- Successful 3D reconstructions rely on pipelines that work efficiently, spend less time processing, and allow for faster troubleshooting.
- The article provides a step-by-step guide covering the complete 3D Reconstruction Workflow, starting with Natural Feature Extraction using feature extraction algorithms like SIFT, SURF, and ORB.
- Feature Matching connects images by finding correspondences between matched points, visualizing spatial relationships and helping assess image quality and camera positioning.
- Structure From Motion (SfM) reconstructs 3D scene structure and camera motion, estimating camera poses and triangulating 3D points to create a sparse point cloud.
- Bundle Adjustment optimizes reconstruction accuracy by refining camera parameters and 3D point positions, ensuring global consistency of the model.
- Dense Matching creates detailed reconstructions through Multi-View Stereo, Patch-based Multi-View Stereo, or Semi-Global Matching, followed by tools and practical automation examples for efficient processing.
- Understanding the full pipeline empowers users to troubleshoot issues effectively, target problem areas, and ensure high-quality 3D reconstructions.
- Practicing and automating the process with high-quality images and gradually tackling more complex scenes is recommended to enhance expertise in 3D reconstruction.
- Provided references and resources include notable software tools like COLMAP, OpenMVG, Meshroom, and RealityCapture, along with algorithms such as SIFT, SURF, ORB, RANSAC, and more.
- The author, Florent Poux, Ph.D., emphasizes educating engineers on AI and 3D Data Science, leading research teams and teaching 3D Computer Vision to tackle 3D challenges and drive innovations.
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Towards Data Science
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392
From Physics to Probability: Hamiltonian Mechanics for Generative Modeling and MCMC
- Hamiltonian mechanics provides a framework based on energy to describe physical systems, offering insights into conservation laws and symmetries.
- By using generalized coordinates and momenta, Hamiltonian mechanics simplifies complex system dynamics, aiding in finding patterns.
- The framework transforms Newtonian second-order equations into two first-order equations, revealing hidden geometric structures in phase space.
- Hamilton's equations govern the evolution of systems in phase space, providing a geometric understanding of their behavior and symmetries.
- Symplecticity, a sacred invariant in Hamiltonian systems, ensures the preservation of area in phase space under Hamiltonian flows.
- Symplectic numerical integrators like Leapfrog Verlet maintain phase space volume conservation and are crucial for stable simulations in Hamiltonian systems.
- Hamiltonian Monte Carlo (HMC) leverages Hamiltonian dynamics to sample efficiently from complex probability distributions, useful in Bayesian statistics and Machine Learning.
- HMC bridges physics and ML by interpreting distributions in phase space and using Hamiltonian principles for exploration and sampling.
- Using symplecticity in machine learning models, exploring HMC for complex distributions, and combining Hamiltonian mechanics with ML techniques are potential research directions.
- Hamiltonian GANs represent a potential application of Hamiltonian formalism for generating physically plausible videos with neural networks.
- Hamiltonian mechanics offers stability, energy conservation, and efficiency for simulations and sampling in complex systems, essential for various scientific and ML applications.
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VentureBeat
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267
Researchers warn of ‘catastrophic overtraining’ in Large Language Models
- A study warns of 'catastrophic overtraining' in Large Language Models (LLMs).
- Researchers have found that extended pre-training can make language models harder to fine-tune, degrading their performance.
- Increased pre-training can lead to reduced effectiveness when models are later fine-tuned.
- Additional training beyond a certain point leads to diminishing and even negative returns in fine-tuning outcomes.
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Kotaku
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35
Image Credit: Kotaku
AI Limit Lets You Respec To Your Heart's Content, But Not Right Away
- AI Limit allows for respec, but it is unlocked later in the game.
- To respec, players need to acquire the Crystal Sprout from the Weather Forest region.
- Crystal Sprout can be found in a massive greenhouse in the Weather Forest region.
- Ability Reconstruction can be accessed at any Branch in the game to respec attributes for free.
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Towards Data Science
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345
How to Format Your TDS Draft: A Quick(ish) Guide
- The article provides a guide on formatting drafts for publication on Towards Data Science (TDS).
- It addresses common questions authors have regarding WordPress and the block editor.
- Key topics include starting a new draft, essential article elements, and common blocks like Paragraph, Image, Quote, List, and more.
- Authors are advised on creating engaging titles, subtitles, adding featured images, and using tags and categories.
- Instructions on using different types of blocks such as Prismatic for code blocks and Shortcode for LaTeX notations are provided.
- The guide also covers embedding media like GitHub Gists and media embeds, and how to seek help during the drafting process.
- Authors are encouraged to proofread drafts, preview their articles, and finally submit them for review before publication on TDS.
- The article emphasizes the importance of following the suggested formatting guidelines to ensure a smooth publication process.
- Authors are guided on utilizing various blocks effectively to enhance the visual appeal and structure of their articles.
- Overall, the guide aims to assist authors in creating well-formatted and visually appealing content for publication on TDS.
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Medium
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201
Image Credit: Medium
Introducing AI Project Cycle
- Problem Scoping is the crucial first stage of AI project development, utilizing the 4Ws - Who, What, Where, and Why.
- Deep understanding is needed to develop a clear vision for project accomplishment, assisted by the 4Ws Problem Canvas.
- AI solutions support the UN Sustainable Development Goals, aiming to improve lives globally.
- Data Acquisition involves collecting raw data for training AI projects, emphasizing the need for authentic and relevant data.
- Data Exploration involves uncovering patterns and trends in large datasets for AI project planning.
- Data visualization is critical for understanding trends, choosing models, and effective communication.
- Data Modeling focuses on building models with mathematical representations for machine understanding.
- Modeling techniques can be rule-based or learning-based, each with its strengths and limitations.
- Evaluation is crucial for testing the AI model's efficiency and performance using Testing Data.
- Key evaluation metrics include F1 Score to assess the model's reliability and effectiveness.
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Analyticsindiamag
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This US-Based Company is Rescuing MSMEs from IT Chaos
- GoTo, a US-based software development company, offers robust IT solutions to businesses, focusing on MSMEs, to enhance communication and collaboration across various devices.
- The integration of AI in GoTo's services has significantly improved their efficiency in addressing critical business challenges and providing proactive and reactive IT support.
- AI plays a crucial role in standardizing IT tasks, recognizing patterns, suggesting solutions, and enhancing technicians' capabilities in resolving issues effectively.
- Alpha CC, an IT service provider in Ireland, experienced improved efficiency and reduced helpdesk workload after transitioning to GoTo Resolve for device management and issue resolution.
- GoTo's approach emphasizes cost reduction by optimizing workflows, enabling IT professionals to handle more tickets efficiently, thereby enhancing operational efficiency.
- Challenges faced by GoTo in developing AI-powered solutions included governance and compliance, creating human-friendly AI, and ensuring security, privacy, and transparency for successful adoption.
- The company institutionalized a balance between automation and human decision-making within its tools, addressing the need for transparency and building user trust in AI systems.
- The key takeaway includes that AI-driven solutions need to explain reasoning behind decisions, foster trust, and adhere to regulatory standards to ensure successful adoption and usage.
- Overall, GoTo's proactive approach to IT management and leveraging AI showcases its commitment to rescuing MSMEs from IT chaos and enhancing operational efficiency.
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Analyticsindiamag
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118
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DE&I in India’s Tech 2025
- India’s technology landscape is focused on Diversity, Equity, and Inclusion (DE&I), which are crucial for innovation and workplace culture.
- A comprehensive study by AIM Research and Chubb explores gender diversity, leadership representation, workplace policies, accessibility, and corporate commitments in India's tech ecosystem.
- Adoption of DE&I policies has risen from 68% in 2024 to 75% in 2025, highlighting the growing commitment to DE&I.
- The study reveals challenges such as bias in career stages, gender disparities in evaluation fairness, and sectoral variations in support for employees with special abilities.
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Analyticsindiamag
3w
263
Image Credit: Analyticsindiamag
Open Source AI Models May Cease to Exist: IT Minister
- India's information technology minister, Ashwini Vaishnaw, expresses concerns that AI models may not remain open source indefinitely.
- Vaishnaw suggests that India needs to develop its large language model (LLM) to ensure availability in the future.
- He takes a jibe at OpenAI, pointing out their transition to closed source models after GPT-2.
- The government of India allocated ₹10,000 crore over five years to develop indigenous AI infrastructure and models.
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Medium
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355
Image Credit: Medium
How Longitudinal Disease Management Transforms Patient Care
- Longitudinal disease management transforms chronic care by offering continuous support over time.
- The Articulate Medical Intelligence Explorer (AMIE) is an AI tool that enhances this approach through longitudinal reasoning and clinical guideline integration.
- The shift towards value-based care is crucial for creating a comprehensive Longitudinal Healthcare Record, revolutionizing patient care with a holistic view of their journey.
- AMIE assists in disease management by understanding disease progression and adapting treatments in real-time, addressing the gap between episodic care and continuous management.
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Medium
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228
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How to Detect Liquidity Grabs Using Divergence Logic in Pine Script (Without Getting Faked Out…
- This article explains how to use divergence logic in Pine Script to detect liquidity grabs and avoid getting faked out.
- The author suggests combining level sweeps with divergence indicators to identify potential liquidity grab zones.
- By using tools such as RSI, OBV, MACD histogram, or volume, traders can find discrepancies between price and the chosen filter.
- The technique helps traders avoid being tricked by fake breakouts and instead observe others getting caught in liquidity grabs.
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Medium
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245
Humans are the smartest beings on earth but have you ever thought that human has biases that may…
- The Bayesian Technique is a method that can be used to address biases in decision-making.
- The technique involves considering the prior probability, likelihood, and total probability to make an informed decision.
- For example, when determining whether Steve is more likely to be a librarian or a farmer based on his personality traits, the base rate plays a significant role.
- Although people may have a bias toward labeling Steve as a librarian due to representativeness heuristic, the base rate of farmers outweighs the likelihood of librarians having those traits.
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Medium
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368
Image Credit: Medium
Why .99 Still Wins Even with AI Setting the Prices
- .99 pricing has been popular for over a century due to its psychological impact on consumer behavior.
- The practice originated as a way to prevent theft in the early 1900s.
- Odd prices like $39 can feel more calculated and offer a perception of greater value than round numbers.
- Algorithms and AI models have learned from consumer behavior and still utilize .99 pricing for better conversion rates.
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Medium
3w
337
Image Credit: Medium
How To Handle Conflict Between Managers As An Introvert
- Conflict can be uncomfortable but has value in bringing up tensions and serving as a catalyst for improvement.
- Handling conflict requires specific skills and perspective to turn it into an opportunity for growth.
- In conflicts between managers, ego and authority dynamics can complicate the resolution process.
- When mediating conflicts between managers, it's essential to establish trust and ensure respectful communication.
- Emotions are inevitable during conflicts, but managing them is crucial for effective conflict resolution.
- Two common types of conflicts to manage include differing opinions and personal attacks.
- Listening, asking open-ended questions, and remaining calm are key strategies for handling conflicts between managers.
- Resolving conflicts involves understanding each side's perspective and guiding them towards a mutually beneficial solution.
- Encouraging open communication, empathy, and collaboration is essential for resolving conflicts effectively.
- Patience, self-awareness, and active listening are valuable traits for introverts to mediate conflicts between managers.
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