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Leanpub Book LAUNCH 🚀 Neural Networks and Adaptive Control by César López #books #newreleases Welcome to the Leanpub Launch video for Neural Networks and Adaptive Control: An Online Machine Learning Perspective https://leanpub.com/neuralnetandadaptivecontrol by César Antonio López…

Leanpub Book LAUNCH 🚀 Neural Networks and Adaptive Control: An Online Machine Learning Perspective by César Antonio López Segura

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Field Guide To Small Business

Got more done on the book today #entrepreneurship #book #books #bookstodon #booksky #Leanpub #business #entrepreneur

Field Guide To Small Business - leanpub.com/fgsb

Leanpub Book LAUNCH 🚀 Neural Networks and Adaptive Control by César López #books #newreleases Welcome to the Leanpub Launch video for Neural Networks and Adaptive Control: An Online Machine Learning Perspective https://leanpub.com/neuralnetandadaptivecontrol by César Antonio López…

Leanpub Book LAUNCH 🚀 Neural Networks and Adaptive Control: An Online Machine Learning Perspective by César Antonio López Segura

Watch here: youtu.be/z24QpRT0mS8

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Where can I follow Leanpub online? | Leanpub Help Center Keywords: where, follow, social media

Where can I follow Leanpub online? | Leanpub Help Center help.leanpub.com/en/articles/... #authors #leanpub #leanpublishing #selfpublishing

Leanpub Book LAUNCH 🚀 Neural Networks and Adaptive Control by César López #books #newreleases Welcome to the Leanpub Launch video for Neural Networks and Adaptive Control: An Online Machine Learning Perspective https://leanpub.com/neuralnetandadaptivecontrol by César Antonio López…

Leanpub Book LAUNCH 🚀 Neural Networks and Adaptive Control: An Online Machine Learning Perspective by César Antonio López Segura

Watch here: youtu.be/z24QpRT0mS8

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The Leanpub Podcast 🎙️ Feat. Luniel de Beer, Co-Author of Ready: Why Most Software Projects Fail... Luniel de Beer (https://leanpub.com/u/luniel) is co-author of Ready: Why Most Software Projects Fail and How to Fix It https://leanpub.com/ready In this episode of the Leanpub Podcast, Len Epp…

NEW! A Leanpub Podcast Interview with Luniel de Beer, Co-Author of Ready: Why Most Software Projects Fail and How to Fix It

Watch here: youtu.be/sPPGRsXq0lg

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The Leanpub Podcast 🎙️ Feat. Luniel de Beer, Co-Author of Ready: Why Most Software Projects Fail and How to Fix It In this episode of the Leanpub Podcast, Len Epp interviews Luniel de Beer, co-author of Ready: Why Most Software Projects Fail and How to Fix It and co-founder of Producore.

From the Leanpub Blog:

The Leanpub Podcast 🎙️ Feat. Luniel de Beer, Co-Author of Ready: Why Most Software Projects Fail and How to Fix It

Watch the video and read more about the interview here: leanpub.com/blog/the-lea...

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The Leanpub Podcast 🎙️ Feat. Luniel de Beer, Co-Author of Ready: Why Most Software Projects Fail... Luniel de Beer (https://leanpub.com/u/luniel) is co-author of Ready: Why Most Software Projects Fail and How to Fix It https://leanpub.com/ready In this episode of the Leanpub Podcast, Len Epp…

NEW! A Leanpub Podcast Interview with Luniel de Beer, Co-Author of Ready: Why Most Software Projects Fail and How to Fix It

Watch here: youtu.be/sPPGRsXq0lg

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My new book onsale still adding to it updated today leanpub.com/fgsb #leanpub #booklover #bookblogger #BookWorm #IndieAuthor #business #Entrepreneur #EntrepreneurLife

The Hundred-Page Language Models Course The instructor has published 100% of this course.

🎓 Learn more in the full course: leanpub.com/c/theLMcourse

This video is a clip from the exclusive course "The Hundred-Page Language Models Course" by Andriy Burkov. Available only on Leanpub.

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I Self-Published A 300-Page Book. So Can You! My experience of writing and publishing “Speak Effectively At Conferences”!

🆕 ✍ I Self-Published A 300-Page Book. So Can You!

New blog about what went on behind the scenes of writing #TheSpeakerBook!

medium.com/write-a-cata...

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Leanpub book LAUNCH 🚀 BizTech Evolution: From Transactional Services to Strategic Alliances by Ivan Krnic youtu.be/pNWHSDORf6A #books #DevOps #Leanpub #BizTech #EngineeringLeadership #DigitalTransformation #SoftwareDevelopment #Agile #TechStrategy

How to Create a List of Figures in a Leanpub Book help.leanpub.com/en/articles/... #books #ebooks #writing #markua #leanpub

Hey Leanpub authors! Have you written a non-fiction book? Check out IndexAI: Create an Index for Your Book!

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Nicolas Brown, Author of Real World Agility: Backed by evidence, built for results #books #podcast In this Leanpub Podcast episode, Len Epp interviews Nicolas Brown, author of Real World Agility: Backed by evidence, built for results (https://leanpub.com/r...

A Leanpub Podcast Interview with Nicolas Brown, Author of Real World Agility: Backed by evidence, built for results | Watch here: youtu.be/SV0T6ro-jUg #books #ebooks #Agile #ProductManagement #Leanpub #Leadership

Hey Leanpub authors! Have you written a non-fiction book? Check out IndexAI: Create an Index for Your Book!

leanpub.com/index_ai/buy

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Hey Leanpub authors! Have you written a non-fiction book? Check out IndexAI: Create an Index for Your Book!

leanpub.com/index_ai/buy

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Ivan Krnic, Author of BizTech Evolution: From Transactional Services to Strategic Alliances #podcast Ivan Krnic is the author of BizTech Evolution: From Transactional Services to Strategic Alliances https://leanpub.com/biztechevolution.In this Leanpub Podcas...

A Leanpub Podcast Interview with Ivan Krnic, Author of BizTech Evolution: From Transactional Services to Strategic Alliances | Watch here: youtu.be/9Jy7eiDa8yk #books #DevOps #Leanpub #BizTech

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Joe Justice, Author of Scrum Master #podcast #books #tesla #elonmusk #manufacturing #technology Joe Justice (https://leanpub.com/u/JoeJustice) is the author of Scrum Master: The Agile Training Seminar for Business Performance (https://leanpub.com/scrumm...

Check out the Podcast Interview with Joe Justice, Author of Scrum Master: The Agile Training Seminar for Business Performance - Watch here: youtu.be/hDfxCDOMlQ8 #books #ScrumMaster #Agile #Tesla #ElonMusk #LeanPub #Wikispeed #JoeDX #Innovation #Manufacturing #Leadership

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Thank you again — I’m committed to making this the most valuable resource for practitioners and researchers alike, and there's much more to come!
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Leanpub book LAUNCH 🚀 BizTech Evolution by Ivan Krnic #books #newreleases #management #consulting Welcome to the Leanpub Launch video for BizTech Evolution: From Transactional Services to Strategic Alliances https://leanpub.com/biztechevolution by Ivan Kr...

Leanpub book LAUNCH 🚀 BizTech Evolution: From Transactional Services to Strategic Alliances by Ivan Krnic youtu.be/pNWHSDORf6A #books #DevOps #Leanpub #BizTech #EngineeringLeadership #DigitalTransformation #SoftwareDevelopment #Agile #TechStrategy

Ivan Krnic, Author of BizTech Evolution: From Transactional Services to Strategic Alliances #podcast Ivan Krnic is the author of BizTech Evolution: From Transactional Services to Strategic Alliances https://leanpub.com/biztechevolution.In this Leanpub Podcas...

NEW! A Leanpub Frontmatter Podcast Interview with Ivan Krnic, Author of BizTech Evolution: From Transactional Services to Strategic Alliances | Watch here: youtu.be/9Jy7eiDa8yk #books #DevOps #Leanpub #BizTech #EngineeringLeadership #DigitalTransformation #SoftwareDevelopment #Agile #TechStrategy

If you're passionate about time series and real-world ML systems, check it out!

Let’s keep learning and building together 🚀

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Mastering 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.

#timeseries #forecasting

#Gumroad -> valeman.gumroad.com/...

#LeanPub -> leanpub.com/masterin...

Mastering 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.

#timeseries #forecasting

#Gumroad -> valeman.gumroad.com/...

#LeanPub -> leanpub.com/masterin...

Mastering 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.

#timeseries #forecasting

#Gumroad -> valeman.gumroad.com/...

#LeanPub -> leanpub.com/masterin...

Nicolas Brown, Author of Real World Agility: Backed by evidence, built for results #books #podcast In this Leanpub Podcast episode, Len Epp interviews Nicolas Brown, author of Real World Agility: Backed by evidence, built for results (https://leanpub.com/r...

NEW! A Leanpub Podcast Interview with Nicolas Brown, Author of Real World Agility: Backed by evidence, built for results | Watch here: youtu.be/SV0T6ro-jUg #books #ebooks #Agile #ProductManagement #Leanpub #Leadership