Applied ML & Model Engineering SeriesElena Daehnhardt |
Image credit: Illustration created with Midjourney, prompt by the author.
Image prompt“An illustration representing cloud computing” |
Applied ML & Model Engineering
This series takes machine learning out of the textbook and into practice — working with real datasets, engineering and evaluating models, and using the everyday AI tools that support a practical workflow.
Series Progress
1 of 37 posts published
All Posts in This Series
Part 1: The Week AI Got Practical: Laws, Power, and Open ModelsA structured breakdown of the week's AI signals: state-level safety laws harden, Texas becomes an AI infrastructure node, and Google advances agentic commerce rails. |
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Part 2: Key machine learning conceptsComing SoonA practical machine-learning concepts guide with math intuition and implementation-focused checks to avoid common modeling errors. This post is currently being written and will be published soon. |
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Part 3: Audio Signal Processing with Python's LibrosaComing SoonA practical Librosa-based audio processing guide for feature extraction, filtering, and robust ML-ready signal preparation. This post is currently being written and will be published soon. |
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Part 4: Google I/O 2023Coming SoonWhy Google I/O 2023 is fantastic in the view of AI development today? In this post I share what I find interesting in the program this year. This post is currently being written and will be published soon. |
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Part 5: Scribee AI Copywriting ReviewComing SoonA practical Scribee-style copywriting review with a repeatable evaluation framework for draft quality and editing cost. This post is currently being written and will be published soon. |
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Part 6: Using Bardeen AI for Browser AutomationComing SoonA practical Bardeen guide for browser automation workflows with trigger-design, validation, and reliability checks. This post is currently being written and will be published soon. |
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Part 7: Meal Planning with AIComing SoonIn this short post I created several meal plans with AI, I also listed several specialised meal planning apps, including one personal project to give you an idea for improvements. This post is currently being written and will be published soon. |
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Part 8: AI Content WritersComing SoonChatGPT is a powerful language model that has revolutionized the way we interact with technology. This post explores ChatGPT and its alternatives, delving into their capabilities, applications, and ethical considerations. This post is currently being written and will be published soon. |
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Part 9: Converting my images to WebPComing SoonIn this short post I list several tools to detect AI-generated content This post is currently being written and will be published soon. |
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Part 10: Human hands and AIComing SoonHuman hands and AI. Yet much work to do to fix the hands issue. This post is currently being written and will be published soon. |
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Part 11: Backpropagation for Deep NetworksComing SoonThis tutorial provides a comprehensive overview of backpropagation for deep neural networks. It covers the fundamental concepts of forward pass, loss calculation, backward pass, and parameter update steps, along with Python code examples using Keras. Whether you're new to neural networks or seeking a refresher, this tutorial offers a clear understanding of backpropagation's role in training deep networks and its practical implementation. This post is currently being written and will be published soon. |
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Part 13: Math Notations for ML and ResearchComing SoonA practical notation guide for machine learning and research papers, with common symbols, matrix operations, and reading tips. This post is currently being written and will be published soon. |
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Part 14: EU AI Code Compliance: Tech Giants Face Regulatory ChallengesComing SoonExplore how major tech companies like Microsoft and Meta are navigating the EU's new AI Code of Conduct and what this means for the future of AI regulation and development. This post is currently being written and will be published soon. |
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Part 15: Fujitsu's Composite AI: A Revolutionary Approach to Intelligent SystemsComing SoonDiscover Fujitsu's innovative Composite AI approach that combines multiple AI technologies to create more intelligent and versatile systems. Learn how this differs from traditional AI methods and what it means for the future of artificial intelligence. This post is currently being written and will be published soon. |
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Part 16: MIT's Revolutionary New Method for Image Editing and GenerationComing SoonDiscover MIT's groundbreaking new approach to image editing and generation that's simpler, faster, and more intuitive than traditional methods. Learn how this technology could revolutionize how we create and modify images. This post is currently being written and will be published soon. |
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Part 17: OpenAI CEO's Warning: The Real Concerns About AI DevelopmentComing SoonExplore the genuine concerns raised by OpenAI's CEO about AI development and what these warnings mean for the future of artificial intelligence and society. This post is currently being written and will be published soon. |
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Part 18: Quantum Machine Learning: The Future of AI with PythonComing SoonExplore the fascinating intersection of quantum computing and machine learning with Python. Learn how to build quantum neural networks using Pennylane and Qiskit, solve complex optimization problems in minutes instead of hours, and understand the future of AI in the quantum era. This post is currently being written and will be published soon. |
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Part 19: SoftBank CEO's AGI Predictions: A Reality Check on AI Timeline ClaimsComing SoonA critical examination of SoftBank CEO Masayoshi Son's bold predictions about AGI and ASI timelines, separating hype from reality in the AI development landscape. This post is currently being written and will be published soon. |
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Part 20: Fantastic Voices with ElevenLabsComing SoonIn this post I write about voice generation and cloning, and a wonderful AI tool for creating great quality voices in ElevenLabs. This post is currently being written and will be published soon. |
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Part 21: NotebookLM as a Research AssistantComing SoonNotebookLM is an innovative notetaking and research app developed by Google, designed to enhance productivity through AI-powered features. By leveraging Large Language Models (LLMs), NotebookLM offers AI-generated notes, summaries, and insights, making it a powerful tool for researchers and professionals. Collaborative editing capabilities further support teamwork on projects. This post is currently being written and will be published soon. |
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Part 22: Learning Languages with AIComing SoonIn this post, I write about language learning using top most frequent word list. I show how to get the word frequency lists from Web, and also with the help of Python coding. We can also use AI for language practicing, and for learning words spelling. This post is currently being written and will be published soon. |
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Part 23: AI Quality AssessmentComing SoonAs AI continues to permeate various aspects of our lives, the importance of AI quality has come into sharp focus. AI quality encompasses several dimensions, including accuracy, efficiency, and reliability, but two key aspects that often receive less attention are user experience and accessibility. This post is currently being written and will be published soon. |
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Part 24: Git Error: Did Not Send All Necessary ObjectsComing SoonA practical troubleshooting guide for Git object transfer errors, including repository integrity checks and safe repair steps. This post is currently being written and will be published soon. |
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Part 25: Discord Bots with Python: Practical SetupComing SoonA practical Python tutorial for building and running a Discord bot with commands, moderation hooks, and deployment basics. This post is currently being written and will be published soon. |
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Part 26: Create your own LinkTree alternative!Coming SoonA practical guide to building a Linktree-style profile page with custom branding, analytics, and lightweight hosting options. This post is currently being written and will be published soon. |
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Part 27: What can AI do today?Coming SoonA practical snapshot of what AI can do today for developers, creators, and operations teams, with clear capability boundaries. This post is currently being written and will be published soon. |
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Part 28: Learning Dutch with ChatGPTComing SoonA practical Dutch-learning plan using ChatGPT for vocabulary drills, sentence practice, and spaced review routines. This post is currently being written and will be published soon. |
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Part 29: The $0 Professional InboxComing SoonA practical zero-cost setup for professional custom-domain email using Gmail, Brevo SMTP, and optional Python automation. This post is currently being written and will be published soon. |
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Part 30: NFT Images: Authenticity, Wallet Setup, and Safe Publishing BasicsComing SoonA practical guide to NFT images: authenticity checks, wallet setup, minting paths, and common security pitfalls for creators. This post is currently being written and will be published soon. |
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Part 32: Explainable AI with Python: SHAP and LIME for Model TransparencyComing SoonUse SHAP and LIME in Python to analyze feature impact, diagnose model behavior, and communicate decisions clearly. This post is currently being written and will be published soon. |
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Part 33: Explainable AI in Practice: Real-World Applications with PythonComing SoonReal-world XAI patterns in healthcare/finance/product workflows with practical Python evaluation and reporting examples. This post is currently being written and will be published soon. |
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Part 34: Advanced Recommender System TechniquesComing SoonBuild advanced recommender pipelines with hybrid scoring, feature engineering, and measurable ranking evaluation. This post is currently being written and will be published soon. |
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Part 35: Practical Productivity with Make.comComing SoonA practical Make.com workflow guide focused on maintainable automations, retries, observability, and human override points. This post is currently being written and will be published soon. |
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Part 36: Own Voice Cloning and TTS in PythonComing SoonA practical TTS and voice-cloning workflow in Python with consent boundaries, quality metrics, and safe deployment controls. This post is currently being written and will be published soon. |
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Part 37: GPT-4o: OpenAI's Revolutionary Multimodal AI Model ExplainedComing SoonA practical GPT-4o overview focused on multimodal architecture implications, latency/cost tradeoffs, and integration design patterns. This post is currently being written and will be published soon. |
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Part 38: AI content detectionComing SoonA practical review of AI-content detection tools, limitations, and decision policies for academic/editorial quality workflows. This post is currently being written and will be published soon. |
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Part 39: Sora by OpenAIComing SoonA practical Sora-oriented post on multimodal generation, workflow constraints, and how to evaluate text-to-video outputs responsibly. This post is currently being written and will be published soon. |
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Getting Started
New to this series? Start with Part 1: The Week AI Got Practical: Laws, Power, and Open Models.
Each post builds on the previous one, so reading them in order is recommended. Each post also works on its own if you need to jump to a specific topic.