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Category List

All products

All category

IT Books

War

Economics

Asian Heritage Classics

HBR (Harvard Business Review)-Books

ADAMS 101

AI - CHAT GPT

MYTHOLOGY

Business & Entrepreneurship

Stock & Trading Management

Classics Masterpieces

Islamic Books

History & Politics

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Self-Help & Motivation

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Book Bundles & Offers

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and real-world examples, the book takes you through cutting-edge tools like Scikit-Learn and PyTorch—from basic regression techniques to advanced neural networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to build intelligent systems.Understand ML basics, including concepts like overfitting and hyperparameter tuningComplete an end-to-end ML project using scikit-Learn, covering everything from data exploration to model evaluationLearn techniques for unsupervised learning, such as clustering and anomaly detectionBuild advanced architectures like transformers and diffusion models with PyTorchHarness the power of pretrained models—including LLMs—and learn to fine-tune themTrain autonomous agents using reinforcement learning

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.

With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and real-world examples, the book takes you through cutting-edge tools like Scikit-Learn and PyTorch—from basic regression techniques to advanced neural networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to build intelligent systems.

Understand ML basics, including concepts like overfitting and hyperparameter tuning
Complete an end-to-end ML project using scikit-Learn, covering everything from data exploration to model evaluation
Learn techniques for unsupervised learning, such as clustering and anomaly detection
Build advanced architectures like transformers and diffusion models with PyTorch
Harness the power of pretrained models—including LLMs—and learn to fine-tune them
Train autonomous agents using reinforcement learning

Hands-On Machine Learning With Scikit-Learn And PyTorch: Concepts, Tools, And Techniques To Build Intelligent Systems

Name: Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Brand: Book Lovers BD
Price: 1175 BDT
Availability: InStock

Price

1,175 BDT1,390 BDTSave 215 BDT

Total sold : 50

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Checkout

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The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.

With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and real-world examples, the book takes you through cutting-edge tools like Scikit-Learn and PyTorch—from basic regression techniques to advanced neural networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to build intelligent systems.

Understand ML basics, including concepts like overfitting and hyperparameter tuning
Complete an end-to-end ML project using scikit-Learn, covering everything from data exploration to model evaluation
Learn techniques for unsupervised learning, such as clustering and anomaly detection
Build advanced architectures like transformers and diffusion models with PyTorch
Harness the power of pretrained models—including LLMs—and learn to fine-tune them
Train autonomous agents using reinforcement learning

Hands-On Machine Learning With Scikit-Learn And PyTorch: Concepts, Tools, And Techniques To Build Intelligent Systems

Price

1,175 BDT1,390 BDTSave 215 BDT

Total sold : 50

Premium Hardcover

Secure
Checkout

Satisfaction
Guaranteed

Privacy
Protected

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.

With an approachable yet deeply informative style, author Aurélien Géron delivers the ultimate introductory guide to machine learning and deep learning. Drawing on the Hugging Face ecosystem, with a focus on clear explanations and real-world examples, the book takes you through cutting-edge tools like Scikit-Learn and PyTorch—from basic regression techniques to advanced neural networks. Whether you're a student, professional, or hobbyist, you'll gain the skills to build intelligent systems.

Understand ML basics, including concepts like overfitting and hyperparameter tuning
Complete an end-to-end ML project using scikit-Learn, covering everything from data exploration to model evaluation
Learn techniques for unsupervised learning, such as clustering and anomaly detection
Build advanced architectures like transformers and diffusion models with PyTorch
Harness the power of pretrained models—including LLMs—and learn to fine-tune them
Train autonomous agents using reinforcement learning