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👉 GRAB YOUR COPY NOW and join the ranks of elite forecasters: [valeman.gumroad.com/l/Masterin]

💥 The world’s data scientists aren’t waiting – will you? 💥

#DataScience #Python #MachineLearning #BestSeller #TimeSeriesForecasting

Thank you to readers around the world for your amazing support! 🌐

GumroadMastering Modern Time Series Forecasting : The Complete Guide to Statistical, Machine Learning & Deep Learning Models in Python📘 Mastering Modern Time Series Forecasting (early access - release in 2025)This book will rise to $60+ as more chapters drop. Preorder now for $25 and lock in lifetime access.The Definitive Guide to Statistical, Machine Learning & Deep Learning Models in PythonLet’s be honest — most forecasting books are either outdated, too shallow, or written by folks who’ve never actually built a real forecasting system.If you’ve ever felt frustrated by books that skip the basics, toss in code without explaining it, or barely touch on what forecasting really involves — you’re not alone.This is different.Mastering Modern Time Series Forecasting is your all-in-one, no-shortcuts guide to building reliable, high-impact forecasting systems. Whether you're just getting started or looking to deepen your expertise, this book takes you from rock-solid foundations to the latest advances in forecasting — including deep learning, transformers, and FTSM (Foundational Time Series Models).Written by a practitioner with over a decade of experience, who’s built production-grade forecasting systems for multibillion-dollar companies, this book is grounded in reality — not hype. The systems I’ve helped build have delivered multimillion-dollar business value, but I’ve also seen the other side: data science teams chasing shiny tools, only to ship systems that crash in production, fail silently, or burn through budgets without results.This book is a response to that — combining practical Python examples, real-world case studies, and a clear path to building forecasting solutions that actually work, scale, and deliver value.🔍 What You'll Learn📘 Core Forecasting FoundationsGrasp what forecast accuracy really means, master model validation strategies, and sidestep common pitfalls that trip up even experienced practitioners.📈 Classical Models, Done RightIn-depth, modern takes on ARIMA, Exponential Smoothing, and other classical statistical and econometrics models — with clarity, not complexity.🤖 Machine Learning for Time SeriesBuild feature-rich forecasts using state-of-the-art ML techniques that go far beyond black-box models.🧠 Deep Learning & TransformersExplore powerful deep learning architectures, including Transformer-based models — all with clear, readable PyTorch code.📊 FTSMs – Foundational Time Series ModelsExplore the rise of Foundational Time Series Models (FTSMs) — large, pre-trained models designed to generalize across domains, tasks, and time horizons. Think GPT for time series.🎯 Probabilistic & Interpretable ForecastingMove beyond point forecasts with uncertainty quantification, conformal prediction, SHAP, attention mechanisms, and explainability tools.📊 Real-World Case StudiesApply what you’ve learned on practical datasets across domains like retail, energy, and finance.🚀 MLOps & DeploymentLearn how to deploy, monitor, and scale your forecasting pipelines in the real world — without the headaches.👥 Who It’s For Data Scientists & ML EngineersSolving real-world forecasting challenges and building production-ready systems. Analysts & DevelopersLooking for a practical, hands-on reference that covers both fundamentals and advanced techniques. Students, Educators & ResearchersIn need of a modern, curriculum-friendly resource grounded in both theory and application. Demand Planners & Business StrategistsFocused on delivering real value through accurate, actionable forecasts. 🧠 Why This Book Stands Out 🔍 Starts with what matters — metrics and validationBefore jumping into models, you’ll learn how to evaluate them properly so you’re building on a solid foundation. 🧠 Focuses on understanding, not just codingLearn how methods work, why they work, and when to use them — not just how to run the code. 💻 Fully documented, transparent codeNo black boxes. Every example is clearly explained so you can learn and adapt, not guess. 🔄 Updated continuously with reader feedbackBuy once, benefit forever — you’ll get lifetime updates as the field evolves. 📚 Everything in one placeFrom classical models to deep learning and FTSMs — no need to juggle multiple resources ever again. 📦 What You Get Instant download of the full book All code examples, datasets, and notebooks Free lifetime updates (including new chapters, errata fixes, and bonus content) Exclusive early access to upcoming bonus chapters & Q&A sessions 💸 Pricing 🎉 Introductory Launch Price Suggested: $35 | Minimum: $30 This is the initial price — it will increase as more chapters, tools, and content are released. If you find value or want to support the project, feel free to pay what it’s worth to you ❤️ Ready to take your forecasting skills from stats to neural nets, and from theory to real-world deployment?👉 Hit “Buy Now” and start mastering forecasting like never before.

Unlock the Secrets of AI Learning! ????Ever wondered how generative AI, the powerhouse behind stunning images and sophisticated text, truly learns? Park et al.'s groundbreaking study, ‘Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space,’ offers a revolutionary new perspective. Forget black boxes – this research unveils a "concept space" where AI learning becomes a visible journey!By casting ideas into geometric space, the authors bring to life how AI models learn step by step, stripping bare the order and timing of their knowledge. See the crucial role played by the "concept signal" in predicting what a model is first going to learn and note the fascinating "trajectory turns" revealing the sudden "aha!" moments of emergent abilities.This is not a theoretical abstraction – the framework has deep implications in the real world:Supercharge AI Training: Optimise training data to speed learning and improve efficiency.Demystify New Behaviours: Understand and even manage unforeseen strengths of state-of-the-art AI.Debug at Scale: Gain unprecedented insights into the knowledge state of a model to identify and fix faults.Future-Proof AI: This mode-agnostic feature primes the understanding of learning in other AI systems.This study is a must-read for all who care about the future of AI, from scientists and engineers to tech geeks and business executives. It's not only what AI can accomplish, but how it comes to do so.Interested in immersing yourself in the captivating universe of AI learning?Click here to read the complete article and discover the secrets of the concept space! #AI #MachineLearning #GenerativeAI #DeepLearning #Research #Innovation #ConceptSpace #EmergentCapabilities #AIDevelopment #Tech #ArtificialIntelligence #DataScience #FutureofAI #Interpretability

From the @DSLC :rstats:​chives:

:rstats: ISLR: Deep Learning youtu.be/c-4eXkKrlvo #RStats #DeepLearning #AI

:rstats: Advanced R: Chapters 23-24: Measuring & Improving Performance (advr_cohort-01) youtu.be/YngflemRSD0 #RStats

:rstats: Practical Stats for Data Scientists: Ch5: Classification youtu.be/4rBHx49v0Zo #RStats

:rstats: R for Data Science: Data transformation Part 2 youtu.be/_NbdlBznxIE #RStats

Visit dslc.video for hours of new #DataScience videos every week!

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🌟 Meet our second GBCC2025 keynote: Dr. Sergei Pond, Professor of Biology and Associate Dean for Research at Temple University.

Dr. Pond directs the Center for Viral Evolution and develops computational tools to study fast-evolving pathogens like HIV. His work bridges molecular epidemiology, immune dynamics, and viral evolution.

Hear him speak this June at Cold Spring Harbor!

gbcc2025.bioconductor.org/prog

gbcc2025.bioconductor.orgInvited Speakers

Nächste Woche bei „LiLi revisited: Digitale Schnittstellenforschung zwischen Literaturwissenschaft und Linguistik“:

📅 20. Mai, 10-12: @nilsreiter (Universität Köln): More Open Science is not always the same as better science
👀: Hybrid! Raum X-E1-201 / Zoom: uni-bielefeld.zoom-x.de/j/6273

ZoomJoin our Cloud HD Video MeetingZoom is the leader in modern enterprise cloud communications.