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Data Science News
Medium
1w
418
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AI Meets Science: The Future of Discovery
- AI-powered algorithms in medicine can detect cancer earlier than ever before.
- AI is helping researchers uncover hidden particles in the quantum realm.
- AI lacks human intuition, creativity, and the ability to ask new questions.
- The fusion of AI and science is about speeding up research, eliminating human error, and allowing scientists to focus on big questions.
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Analyticsindiamag
1w
8
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‘Most Data Centres Are Not Ready for Liquid Cooling’, says Oracle Exec on NVIDIA Blackwell
- Oracle Cloud Infrastructure (OCI) is introducing NVIDIA’s Blackwell Ultra GPUs to its cloud platform, necessitating new infrastructure solutions like liquid cooling in data centres.
- Senior vice president at OCI, Karan Batta, highlighted the challenge of managing heat from the new GPUs due to most data centres not being equipped for liquid cooling.
- Cloud providers face decisions on cooling methods and must focus on effective integration within data centre designs.
- Differentiation among cloud providers lies in data centre design and operational management of GPU clusters for high uptime and minimal failures.
- The Blackwell Ultra GPUs, built on the Blackwell architecture, offer enhanced AI performance and are part of Oracle’s zettascale cloud computing clusters.
- Oracle collaborates with Google and Microsoft Azure to establish multi-cloud partnerships by deploying OCI within their data centres.
- OCI partners with NVIDIA AI Enterprise to accelerate AI adoption, offering over 160 AI tools and enabling faster deployment and customer support.
- The collaboration between Oracle and NVIDIA AI Enterprise aims to support diverse AI use cases and streamline generative AI model deployment.
- Oracle’s distributed cloud approach extends to public regions, Government Clouds, sovereign clouds, and specialized cloud services such as OCI Dedicated Region and Roving Edge Devices.
- Nomura Research Institute (NRI) in Japan uses Oracle Alloy with NVIDIA Hopper GPUs for customised cloud services and plans to deploy NVIDIA AI Enterprise for AI initiatives.
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Medium
1w
38
What is AI? A Beginner’s Guide to the Hottest Tech Trend
- Artificial Intelligence (AI) is intelligence created artificially to mimic human thinking.
- AI is a simulation of how the majority of people would answer a given question.
- AI relies on huge datasets of questions and answers, requiring massive amounts of storage and computational power.
- If AI encounters a brand-new question, it will try to find a similar question in its dataset or generate an incorrect answer.
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Towards Data Science
1w
354
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Evolving Product Operating Models in the Age of AI
- Popularized by product coaches like Marty Cagan, the '3-in-a-box' model consists of product management, product design, and engineering as core competencies.
- The model focuses on addressing product risks in value, viability, usability, and feasibility through collaborative decision-making.
- As software projects grew in complexity, dedicated roles for product management and design emerged in the late 1990s and early 2000s.
- The adoption of agile and lean methodologies further reinforced the importance of cross-functional teams in product development.
- The emergence of AI as a key competency may trigger the evolution of current product operating models.
- The incorporation of AI may follow a four-phase framework, similar to the evolution of design and UX roles in the past.
- Models like embedded, consultative, and hybrid are proposed for integrating AI expertise into existing product models.
- Boundary conditions and path dependence should be considered when deciding on AI integration in product operating models.
- The choice of product operating model can significantly impact the design and architecture of products, according to Conway’s Law.
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Medium
1w
42
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How I Made $500 Selling Coloring Books Online
- Selling coloring books online can be a lucrative opportunity, with potential to earn $500 in the first week.
- The Profitable Coloring Pages PLR Pack offers over 750 unique designs, allowing for customization and personalization.
- Creating themed bundles can multiply earnings and cater to specific niches, appealing to a broader audience.
- The market demand for children's educational items is growing, making this a promising entrepreneurial venture.
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Medium
1w
299
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Breaking into Data Science: A Freshers’ Guide to Landing Your First Job!
- Python is a key language for fresher data scientists, with libraries like Pandas, NumPy, and Matplotlib being important to focus on.
- Maths, stats, and SQL are necessary skills for a fresher in data science.
- Creating projects and showcasing them on GitHub or Kaggle is a great way to demonstrate practical skills.
- Avoid putting fake experience or useless certifications on your resume and focus on relevant job applications.
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Towards Data Science
1w
435
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No More Tableau Downtime: Metadata API for Proactive Data Health
- The article discusses the challenges of identifying and fixing issues in Tableau data sources.
- It highlights the lack of a central place to check dependencies of Tableau data sources on specific tables.
- The Tableau Data Management add-on is mentioned as a potential solution, but its cost hinders widespread use.
- The introduction of the Tableau Metadata API is presented as a proactive approach to identify impacted data sources before issues arise.
- The use of Python's Tableau Server Client (TSC) library to connect to the Metadata API is explained.
- The process of retrieving data sources, custom SQL queries, and table names is detailed using the Metadata API.
- The article emphasizes the extraction of relevant information and merging data to identify affected data sources efficiently.
- Various scenarios and use cases of leveraging the Tableau Metadata API are highlighted for data management tasks.
- The importance of automating Tableau data management tasks for efficiency and accuracy is underscored.
- The reader is encouraged to explore the provided code examples on Github for a practical understanding.
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Medium
1w
166
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Step-by-Step Guide to Building a RAG System with NotebookLM
- NotebookLM is a tool for creating RAG systems.
- RAG systems allow users to interact with verified and up-to-date sources of information.
- This article provides a step-by-step guide on creating a RAG system with NotebookLM.
- NotebookLM offers features such as analysis, summarization, and question formulation.
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Towards Data Science
1w
54
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What Germany Currently Is Up To, Debt-Wise
- Germany's current debt situation is analyzed using visualization tools to understand the significant amounts involved.
- An initial comparison of various debt amounts showcases the challenges in grasping the scale using plain enumeration.
- By visualizing data using Python and Matplotlib, the disparity between different debt levels becomes more apparent.
- Logarithmic scaling helps in better understanding the relationship between everyday amounts and large debt figures.
- An interactive webpage developed with HTML, JavaScript, and CSS allows a more intuitive representation of Germany's planned debt increase.
- The webpage visually emphasizes the vastness of the debt, putting it into perspective relative to smaller amounts like €1,600 and existing interest costs.
- The visualization highlights the enormity of Germany's proposed additional debt and the burden it places on future generations.
- The use of pixel representation in the webpage provides a clear visual cue for understanding the scale of different debt levels.
- Even individuals with substantial earnings find their income represented by just a few pixels compared to the massive debt bars.
- Ultimately, the visualization serves as a stark reminder of the immense financial obligations that lie ahead for Germany.
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Nycdatascience
1w
321
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Healthcare fraud detection prediction
- Healthcare fraud is a significant issue involving illegal activities like billing for services not provided or misrepresenting services.
- Machine learning offers an effective solution for automating the detection of healthcare fraud, reducing costs and improving efficiency.
- A capstone project focused on detecting potential fraud in healthcare claims through machine learning techniques is discussed.
- The project involves analyzing historical data to identify patterns distinguishing fraudulent activities from legitimate claims.
- Key steps in the project include data preprocessing, feature engineering, and model evaluation using metrics like precision and recall.
- The dataset used in the project includes Inpatient, Outpatient, Beneficiary, and Fraud labels data uploaded to Kaggle by Rohit Anand Gupta.
- Key findings from the project include insights on inpatient stay duration, claim duration, reimbursed amount analysis, and numerical variables analysis.
- Different machine learning models like Logistic Regression, Decision Tree, XGBoost, and CatBoost were evaluated for fraud detection performance.
- The CatBoost model demonstrated high performance in distinguishing fraudulent claims, with a focus on precision, recall, and ROC-AUC metrics.
- Recommendations for optimizing fraud detection models include addressing class imbalance, threshold adjustment, and combining hybrid approaches for enhanced performance.
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Dev
1w
218
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LeetCode 993: Cousins in Binary Tree – DFS and BFS Approaches Explained (Python)
- LeetCode 993: Cousins in Binary Tree – DFS and BFS Explained (Python)
- Two nodes of a binary tree are cousins if they have the same depth but different parents.
- DFS approach: Defines a helper function to find the depth and parent of the given node recursively.
- BFS approach: Uses a queue to traverse the tree level-wise and checks if the given nodes have the same depth and different parents.
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Medium
1w
321
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Big Tech and Your Data: Are You Paying for Free Services With Your Privacy?
- Big Tech companies like Google, Facebook, Amazon, and Apple collect and monetize user data to generate revenue.
- Users often give away personal data unknowingly in exchange for free services.
- Companies track user behavior using cookies, tracking pixels, and browser fingerprints.
- The surveillance economy built on user data raises concerns about privacy and fairness.
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Dev
1w
81
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2115. Find All Possible Recipes from Given Supplies
- You have information about n different recipes and the needed ingredients to create them.
- Filter invalid recipes that have missing ingredients not present in the initial supplies or other recipes.
- Build a dependency graph to represent the relationship between recipes and their dependencies.
- Use topological sorting to process the recipes in the correct order and determine all possible recipes that can be created.
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TechBullion
1w
385
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9 SEO Trends Every Digital Marketer Should Follow
- SEO trends play a crucial role in boosting online visibility and engagement for digital marketers.
- Understanding user behavior shifts and search engine algorithm updates is essential for SEO success.
- Focus on enhancing User Experience (UX) and Core Web Vitals to keep visitors engaged.
- Mobile optimization is non-negotiable, given the significant web traffic from mobile devices.
- Voice search optimization is crucial, with a focus on natural language and local SEO.
- Featured snippets and rich answers enhance visibility and engagement in search results.
- Semantic search and Natural Language Processing (NLP) prioritize user intent over keywords.
- Video and visual content optimization are essential for captivating audiences with shorter attention spans.
- Local SEO, Google My Business listings, and E-A-T (Expertise, Authoritativeness, Trustworthiness) are key for building credibility and visibility.
- Technical SEO and site structure improvements ensure search engines can efficiently understand and rank your content.
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Analyticsindiamag
1w
137
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Cloudflare Releases AI Agent to Help Make Configurations Easier
- Cloudflare has released its first version of AI agents, Cloudy, to improve management across its suite of products.
- The AI agent automates the task of reviewing and contextualising Custom Rules in Cloudflare's WAF and understanding Gateway policies in Cloudflare One.
- Cloudy identifies redundant rules, optimizes execution order, analyses conflicting rules, and finds disabled rules in WAF Custom Rules.
- Cloudflare aims to enhance security and reduce the risk of human error using AI agents.
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