Cracking the Code of Machine Learning
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Home > Computing and Information Technology > Computer science > Artificial intelligence > Neural networks and fuzzy systems > Cracking the Code of Machine Learning: Techniques and Strategies
Cracking the Code of Machine Learning: Techniques and Strategies

Cracking the Code of Machine Learning: Techniques and Strategies


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About the Book

Cracking the Code of Machine Learning: Techniques and Strategies isn't your typical dry tech manual-it's your caffeinated, slightly sarcastic, yet surprisingly practical guide to becoming a machine learning master. I'm Drenvokar Lysothen-and if you've ever stared at a tangle of code wondering whether you're building an AI model or summoning an eldritch being, this book is for you. From data wrangling disasters to deep learning breakthroughs, we'll take a stroll (okay, sometimes a sprint) through the world of algorithms, neural networks, and all the weird, wonderful ways machines try to "learn" like humans-minus the student debt. Here's what's inside: Machine Learning Fundamentals - Forget the jargon jungle; you'll understand what supervised, unsupervised, and reinforcement learning really mean. Data Preparation - Because even the smartest algorithm is useless if your dataset looks like it was collected by a distracted raccoon. Supervised & Unsupervised Techniques - Regression, classification, clustering... all the greatest hits explained without making your brain melt. Deep Learning - CNNs, RNNs, transformers-no, not the robots (well, kinda). Model Optimization - Hyperparameter tuning made simple enough that you might actually enjoy it. Explainable AI - Learn how to make your model less of a mysterious black box and more like that one friend who overshares. Deployment & MLOps - Taking your model from "it works on my laptop" to "it works in production." Cutting-Edge Trends - Federated learning, multimodal AI, and other cool stuff to make you sound very smart in meetings. Real-World Case Studies - From healthcare miracles to retail wizardry, plus a few projects that hilariously crashed and burned. Whether you're a curious beginner, a seasoned data scientist looking to sharpen your skills, or just someone who wants to drop "gradient descent" into casual conversation, this book will get you there-minus the headache. Machine learning is no longer the future-it's the present. And the sooner you stop being intimidated by it, the sooner you can start using it to solve problems, impress your boss, or maybe even take over the world (ethically, of course). So grab a coffee, open your IDE, and let's crack the code together. Just be warned: after reading this, you might start seeing everything as a dataset. Even your cat.


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Product Details
  • ISBN-13: 9798273811867
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 340
  • Returnable: N
  • Sub Title: Techniques and Strategies
  • Width: 216 mm
  • ISBN-10: 8273811867
  • Publisher Date: 10 Nov 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 18 mm
  • Weight: 838 gr


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