In a world where data grows faster than decisions can be made, organizations increasingly rely on machine learning to unlock insights, automate processes, and guide strategic action. ML-Driven Decision Making is a comprehensive, practical roadmap for anyone seeking to build intelligent systems that can analyze data, predict outcomes, and support smarter decision-making across industries.Designed for beginners, intermediate learners, and professionals, this guide de...

Modern infrastructure moves too quickly for teams to rely on manual operations alone.Cloud environments are becoming more distributed, applications more complex, and the volume of operational data continues to grow. At the same time, development and operations teams are expected to deliver software faster while maintaining reliability, security, and performance.This is where AIOps enters the picture.AIOps: DevOps Culture explores how artificial intelligence, automat...

Building digital products is not just about following Scrum ceremonies—it’s about delivering real value in fast-moving, uncertain environments. Scrum Delivery for Digital Products focuses on how Scrum actually works when applied to modern software, platforms, and digital services.This book moves beyond theory and frameworks to show how Scrum supports continuous delivery, product discovery, and cross-functional collaboration. Readers will learn how to align product vision with sprin...

The next generation of productivity tools won't simply help people work faster. They will help them work differently.Artificial intelligence is changing how software is designed, built, and used. Tasks that once required multiple applications, manual processes, and constant human intervention can increasingly be supported by intelligent systems.But building useful AI-powered products requires more than adding an AI feature to an existing tool.It requires understandi...

Artificial intelligence depends on data. But what happens when useful data cannot be collected, centralized, or freely shared?Federated Learning offers a different approach. Instead of bringing all data into one central location, machine learning models can be trained across distributed devices, systems, and organizations while keeping much of the underlying data where it is generated.At the same time, modern AI increasingly faces another challenge: obtaining enough high-qu...

Data is everywhere. The real advantage comes from knowing how to turn it into useful information.Python for Data Science: Coding with Intelligence introduces the practical foundations of using Python to work with data, explore patterns, automate analysis, and build the computational thinking skills needed for modern data-driven work.You don’t need to begin as an advanced programmer. The focus is on understanding how code, data, and analytical thinking work together—and how ...

Generative AI is changing creative work—but the real advantage comes from knowing how to integrate it into the way you already work.Writing, design, marketing, presentations, research, brainstorming, video, communication, and content production are increasingly being shaped by AI tools.Yet simply having access to generative AI doesn't automatically make creative work better.The difference lies in the workflow.AI in Creative Workflows explores how generative ...

As generative AI rapidly moves from the fringes of innovation into the core of modern business operations, organizations must adapt or risk falling behind. Generative AI in the Workplace offers a comprehensive guide to understanding and integrating this transformative technology to drive efficiency, unlock creativity, and reshape the very fabric of workplace culture.This book explores how generative AI tools—like large language models, image generators, and intelligent ass...

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.This hands-on guide takes you from the basics of Python programming to advanced data workflows using industry-standard libraries such as NumPy, Pa...

Build AI systems that don’t just work — they win trust.In today’s fast-moving AI-powered world, accuracy isn’t enough. Whether you’re building models for healthcare, finance, retail, or enterprise software, one thing is clear: if users and stakeholders can’t understand your AI, they won’t trust it.Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with ...

The Internet of Things (IoT) is transforming our world—connecting physical devices, enabling real-time decision-making, and opening new possibilities across industries. Whether you're an aspiring engineer, tech enthusiast, or business professional, Introduction to Internet of Things is your gateway to understanding how IoT works and how to build intelligent, connected solutions from the ground up.This beginner-friendly guide breaks down the complex ecosystem of IoT into ac...

Large Language Models (LLMs) are revolutionizing the way we interact with technology—powering chatbots, automating content creation, summarizing information, writing code, and even generating art. Large Language Models (LLMs) is your definitive guide to understanding these groundbreaking AI systems and how they’re reshaping industries, workflows, and everyday life.This book demystifies the inner workings of LLMs like GPT, BERT, and Claude. You’ll learn how they’re built, h...