Machine learning quietly shapes dozens of everyday decisions: what gets recommended to you, what your bank flags as suspicious, what your phone predicts you'll type next. Yet most explanations either overwhelm you in math or skip so much they leave you no better off.
Machine Learning for Beginners takes a different approach. In one focused sitting, you'll build a real mental model of how ML actually works: the core concepts, the main types of learning, the algorithms that power real products, and a complete hands-on Python example you can run yourself - no advanced math or prior ML experience required.
Whether you're a developer curious about AI, a professional trying to evaluate ML proposals at work, or simply someone who wants to understand the technology reshaping the world around you, this guide gives you the vocabulary and intuition to move from confused to confident.
What you'll learn:
- The core concepts behind every ML system: data, features, models, training, and evaluation
- The three types of machine learning and where each is used
- A practical tour of the algorithms that power real-world products
- A complete, working ML example in Python - explained in plain English
- Common mistakes beginners make, and how to avoid them
- The ethical questions every ML practitioner should understand
A clear, straightforward guide to actually understanding machine learning.
"synopsis" may belong to another edition of this title.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798240807008
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9798240807008
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798240807008
Quantity: Over 20 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning quietly shapes dozens of everyday decisions: what gets recommended to you, what your bank flags as suspicious, what your phone predicts you'll type next. Yet most explanations either overwhelm you in math or skip so much they leave you no better off.Machine Learning for Beginners takes a different approach. In one focused sitting, you'll build a real mental model of how ML actually works: the core concepts, the main types of learning, the algorithms that power real products, and a complete hands-on Python example you can run yourself - no advanced math or prior ML experience required.Whether you're a developer curious about AI, a professional trying to evaluate ML proposals at work, or simply someone who wants to understand the technology reshaping the world around you, this guide gives you the vocabulary and intuition to move from confused to confident.What you'll learn:- The core concepts behind every ML system: data, features, models, training, and evaluation- The three types of machine learning and where each is used- A practical tour of the algorithms that power real-world products- A complete, working ML example in Python - explained in plain English- Common mistakes beginners make, and how to avoid them- The ethical questions every ML practitioner should understandA clear, straightforward guide to actually understanding machine learning. Seller Inventory # 9798240807008
Quantity: 2 available
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: new. Paperback. Machine learning quietly shapes dozens of everyday decisions: what gets recommended to you, what your bank flags as suspicious, what your phone predicts you'll type next. Yet most explanations either overwhelm you in math or skip so much they leave you no better off.Machine Learning for Beginners takes a different approach. In one focused sitting, you'll build a real mental model of how ML actually works: the core concepts, the main types of learning, the algorithms that power real products, and a complete hands-on Python example you can run yourself - no advanced math or prior ML experience required.Whether you're a developer curious about AI, a professional trying to evaluate ML proposals at work, or simply someone who wants to understand the technology reshaping the world around you, this guide gives you the vocabulary and intuition to move from confused to confident.What you'll learn: - The core concepts behind every ML system: data, features, models, training, and evaluation- The three types of machine learning and where each is used- A practical tour of the algorithms that power real-world products- A complete, working ML example in Python - explained in plain English- Common mistakes beginners make, and how to avoid them- The ethical questions every ML practitioner should understandA clear, straightforward guide to actually understanding machine learning. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798240807008
Quantity: 1 available
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Machine learning quietly shapes dozens of everyday decisions: what gets recommended to you, what your bank flags as suspicious, what your phone predicts you'll type next. Yet most explanations either overwhelm you in math or skip so much they leave you no better off.Machine Learning for Beginners takes a different approach. In one focused sitting, you'll build a real mental model of how ML actually works: the core concepts, the main types of learning, the algorithms that power real products, and a complete hands-on Python example you can run yourself - no advanced math or prior ML experience required.Whether you're a developer curious about AI, a professional trying to evaluate ML proposals at work, or simply someone who wants to understand the technology reshaping the world around you, this guide gives you the vocabulary and intuition to move from confused to confident.What you'll learn: - The core concepts behind every ML system: data, features, models, training, and evaluation- The three types of machine learning and where each is used- A practical tour of the algorithms that power real-world products- A complete, working ML example in Python - explained in plain English- Common mistakes beginners make, and how to avoid them- The ethical questions every ML practitioner should understandA clear, straightforward guide to actually understanding machine learning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798240807008
Quantity: 1 available
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Machine Learning for Beginners | A Short, Practical Guide to Understanding and Getting Started with ML | Sarath Vaddi | Taschenbuch | Englisch | 2026 | Sarath Vaddi | EAN 9798240807008 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136478713
Quantity: 5 available