Data Science Insider: February 16th , 2024

In This Week’s SuperDataScience Newsletter: Launch of AI Video Tool Sora. SEO & Data Science: Optimizing Site Structures. Russian NAKA Drone Tech Unveiled. Link Prediction Metrics Re-evaluated. Data Science on a Budget. Cheers, - The SuperDataScience Team P.S. Have friends and colleagues who could benefit from these weekly updates? Send them to [this link]( to subscribe to the Data Science Insider. --------------------------------------------------------------- [Launch of AI Video Tool Sora]( brief: OpenAI has launched Sora, a tool that creates videos from text prompts, simulating motion in the physical world. Dubbed after the Japanese word for "sky," Sora generated minute-long realistic videos based on user instructions on subject and style. It can also extend existing footage or create videos from still images. The launch was announced in a blog which said, “We’re teaching AI to understand and simulate the physical world in motion, with the goal of training models that help people solve problems that require real-world interaction.” Limited access to Sora was granted to researchers and filmmakers for testing, adhering to OpenAI's terms of service. Unlike previous models, Sora aims for coherence with user prompts. Why this is important: OpenAI's track record with Dall-E and ChatGPT underscored its expertise in generative AI. However, concerns over copyright and content guidelines persisted as Sora expanded the realm of AI-generated content creation. [Click here to learn more!]( [SEO & Data Science: Optimizing Site Structures]( brief: Data science and SEO have a fascinating relationship as they synergize to enhance site architectures. With SEO evolving into a data-centric field, Python proficiency among professionals is on the rise. This shift is crucial, given Google's frequent updates and the need for data-driven strategies, even in internal link structures. Data science facilitates uncovering patterns and insights that are necessary for signalling content priority to search engines. By statistically evaluating site architecture and implementing metrics like True Internal Page Rank (TIPR) and Revenue Internal Page Rank (RIPR), SEO professionals can optimize link distribution and prioritize content based on search demand and revenue potential. However, these approaches require proper analytics setup and modeling to ensure effective implementation. Why this is important: Understanding the integration of data science in SEO and site architectures is vital for data scientists as it expands their toolkit and domain expertise. By grasping these concepts, data scientists can contribute to enhancing website performance, driving organic traffic, and ultimately, achieving business objectives through data-driven decision-making in the digital landscape. [Click here to read on!]( [Russian NAKA Drone Tech Unveiled]( brief: Russian scientists have developed NAKA, a neural network technology for drones that enables identification of enemy assets such as Leopard tanks and Bradley IFVs. The Eurasian Times reports that this advancement underscores Russia's efforts to bolster its drone capabilities following vulnerabilities exposed in recent conflicts. President Putin's emphasis on AI and quantum tech further drives domestic innovation. NAKA's civilian applications, including agriculture and animal search, hint at broader utility. Additionally, Hardberry-Rusfactor's tilt-rotor drone, Lovkiy, surpasses existing Russian UAVs in speed and endurance. Leveraging machine learning, similar technologies like Lancet-3 and Marker UGV demonstrate Russia's strides in military AI, enhancing autonomous target recognition and decision-making. These developments underscore Russia's strategic push towards advanced warfare technologies. Why this is important: Analyzing advancements like NAKA and other military AI technologies, provides insights into algorithmic complexities, data processing challenges, and the ethical considerations surrounding AI deployment in defense and security domains. [Click here to discover more!]( [Link Prediction Metrics Re-evaluated]( In brief: Research from UC Santa Cruz has revealed the limitations of using the standard metric, AUC, to evaluate link prediction in ML algorithms. Led by Professor Seshadhri, the study advocates for a new metric, VCMPR, which better captures these limitations. “The reason why we got interested is because link prediction is one of these really important scientific tasks which is used to benchmark a lot of machine learning algorithms," Seshadhri said. Results indicate leading ML methods perform poorly when assessed with VCMPR, challenging the reliability of AUC and urging researchers to reevaluate their benchmarks. The findings caution against complacency and highlight the importance of rigorous evaluation methods in advancing ML research. Why this is important: This research prompts a re-evaluation of benchmarking practices, ensuring that performance assessments accurately reflect algorithm capabilities. By adopting more comprehensive metrics like VCMPR, data scientists can make informed decisions and advance the reliability of ML applications. [Click here to see the full picture!]( [Data Science on a Budget]( In brief: This article by KDNuggets offers readers the opportunity to learn about accessible pathways to data science expertise, offering five resources for those who want a budget-conscious entry point. DataCamp's 'Understanding Data Science' course, requiring no coding experience, offers a comprehensive introduction. 'Data Science from Scratch' book provides in-depth knowledge of libraries and algorithms. Harvard's free 'Introduction to Probability' course enhances foundational understanding crucial for data science mastery. 'Python in a Nutshell' book and Freecodecamp.org's 'Data Analysis with Python' course equip learners with essential Python skills for data analysis. These resources alongside those offered by us here at SuperDataScience, empower beginners to progress confidently towards data science careers, reflecting the growing demand for skilled professionals in the field. Why this is important: Proficiency in probability, Python, and data analysis techniques lays the groundwork for tackling real-world challenges, driving innovation, and maximizing the impact of data-driven solutions in various industries. [Click here to see the full picture!]( [Super Data Science podcast]( In this week's [Super Data Science Podcast]( episode, audience favorite and author of "Storytelling with You," Cole Nussbaumer Knaflic returns to share essential tips for crafting impactful presentations, emphasizing narrative construction and audience engagement. Learn how to effectively communicate data and stories, enhancing your presentations with insights from a leading expert in the field. [Click here to find out more!]( --------------------------------------------------------------- What is the Data Science Insider? This email is a briefing of the week's most disruptive, interesting, and useful resources curated by the SuperDataScience team for Data Scientists who want to take their careers to the next level. Want to take your data science skills to the next level? Check out the [SuperDataScience platform]( and sign up for membership today! Know someone who would benefit from getting The Data Science Insider? Send them [this link to sign up.]( # # If you wish to stop receiving our emails or change your subscription options, please [Manage Your Subscription]( SuperDataScience Pty Ltd (ABN 91 617 928 131), 15 Macleay Crescent, Pacific Paradise, QLD 4564, Australia