11 plots that data scientists use 90% of the time: https://t.co/9f5RD23rkK ...

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The Indian Institute of Technology Madras has announced its collaboration to undertake joint research with American multinational manufacturing firm Caterpillar Inc. as a ‘Global University Partner’.The collaboration will involve research and development in the identified technology areas such as Advanced Manufacturing, AI and Data Science, Mechanical Engineering, Autonomous Mining Equipment, Gas Turbines & Engines, besides batteries and fuel cells. It will also include talent development activities, and in ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):I've been coding in Python for 9 years now.If I were to start over today, here's a complete roadmap: ...

Core Insights - First National Bank, a subsidiary of F.N.B. Corporation, has appointed Santosh Sinha and Sundeep Tangirala as Senior Vice Presidents to enhance its AI and data science capabilities [1][3] - The focus on innovation and digital technology is aimed at driving growth and improving client experience [1] - Sinha will lead the AI strategy with an emphasis on ethical practices, while Tangirala will oversee strategic decisioning systems and regulatory models [1][3] Group 1: Company Developments - Santosh Sinha has over 10 years of experience in financial services and has previously worked as a cofounder of a technology startup and an AI researcher for the U.S. government [1][2] - Sundeep Tangirala has more than 20 years of technology experience, including nearly 15 years in the financial services sector, and previously served as Senior Vice President at PNC Bank [3][4] - F.N.B. Corporation operates in seven states and the District of Columbia, with total assets nearing $50 billion and approximately 350 banking offices [5][6] Group 2: Strategic Focus - The company aims to leverage AI, data science, and quantitative modeling to inform strategic planning and service delivery [1] - Tangirala's team will focus on identifying insights to drive revenue, efficiency, and process improvements across various departments [3] - The bank's services include commercial banking, consumer banking, and wealth management solutions, indicating a diversified service offering [6]

Group 1 - The core viewpoint of the forum is that the integration of data and AI serves as a dual engine driving innovation and growth in the intelligent era [1][2] - Current challenges in large model development include a "data wall" dilemma, where the contribution of unlabeled data to model performance is diminishing, leading to a need for a shift from expert-driven data science to quantitative and self-evolving stages [1] - A practical example shared indicates that filtering high-quality data from a vast dataset can significantly enhance model accuracy, with a reported 1.7% improvement in domain question-answering tasks by using only 20% of high-quality data from 10 billion tokens [1] Group 2 - Emphasis on data quality is crucial, with a focus on both human and machine experiences to enhance large model performance [2] - The global AI data industry is undergoing a significant transformation from labor-intensive to technology and knowledge-intensive models, showcasing how high-quality data can benefit various industries through real-world applications [2] - High-quality datasets should meet the VALID² criteria (vitality, authenticity, large sample size, completeness, diversity, high knowledge density), indicating a systematic reconstruction of methodologies, infrastructure, and industry ecology [2]

Core Insights - Root Inc. (ROOT) is a technology-driven auto insurer that utilizes data science, telematics, and automation to enhance risk pricing accuracy compared to traditional carriers [1] - The company's telematics-based underwriting platform evaluates individual driving behavior in real time, linking premiums to actual driving performance, which improves loss ratios and pricing discipline [2] - Automation and AI are employed to enhance claims handling, reduce fraud, and improve efficiency, thereby lowering the expense ratio and reinforcing earnings potential [3] Technological Investments - Root plans to continue investing in AI, automation, and product innovation, scaling its telematics engine and expanding into renters and other personal insurance lines [4] - The company believes the $300 billion U.S. auto insurance market is ready for disruption, with its proprietary technology allowing for adaptability across the value chain and supporting flexible product design [5] Competitive Landscape - Other players like Lemonade (LMND) and Kingstone Companies (KINS) also leverage technology for AI-powered underwriting and claims automation, enhancing efficiency and profitability [6][7] - Lemonade's technology enables cost reduction and refined risk selection, while Kingstone Companies improves underwriting precision and customer experience through technology [6][7] Stock Performance - ROOT shares have increased by 33.4% year to date, outperforming the industry [8] - Despite the stock's performance, ROOT trades at a price-to-book value ratio of 6.21, significantly above the industry average of 1.54 [11] Earnings Estimates - The Zacks Consensus Estimate for ROOT's full-year 2025 and 2026 EPS has remained stable over the last 60 days, indicating expected year-over-year increases in revenues and EPS [13][14]

Ricky Chan, a distinguished professor and entrepreneur, will present an innovative TEDx CSTU talk in 2025 that redefines startup success. His presentation reveals a transformative approach to entrepreneurship by fusing statistical analysis with cutting-edge AI technologies. Challenging the traditional reliance on guesswork, Chan's vision is to empower investors and founders with confident, informed decisions that dramatically increase success rates. With the sobering statistic that 99 out of 100 startups fa ...

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Function calling & MCP for LLMs, clearly explained (with visuals): ...