Machine Learning For Absolute Beginners: A Plain English Introduction (Learn AI & Python for Beginners)
Idioma: inglés
Editorial: Independently published, 2018
- Tapa blanda
- Nuevo
Librería: BookFarm, San Diego, CA, Estados Unidos de AmericaBookFarm
Vendedor de AbeBooks desde 29 de octubre de 2022
Condición: Nuevo
EUR 12,78
Cantidad disponible: 1 disponibles
Añadir al carritoDescripción del artículo del vendedor
New.
N° de ref. del artículo 27-18575
- Título
- Machine Learning For Absolute Beginners: A Plain English Introduction (Learn AI & Python for Beginners)
- Autor
- Theobald, Oliver
- Editorial
- Independently published
- Año de publicación
- 2018
- Estado
- New.
- Encuadernación
- paperback
- Idioma
- inglés
- ISBN 10
- 1549617214
- ISBN 13
- 9781549617218
- Peso del artículo
- 37 onzas
- Dimensiones
- 6x0x9
- Serie
- Libro 2 de 3: Learn AI & Python for Beginners
Featured by Tableau as the first of "7 Books About Machine Learning for Beginners"
Ready to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?
Well, hold on there...
Before you embark on your epic journey, there are some theory and statistical principles to weave through first.
But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to machine learning.
Machine Learning for Absolute Beginners Second Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.
This major new edition features many topics not covered in the First Edition, including Cross Validation, Data Scrubbing and Ensemble Modeling. Please note that this book is not a sequel to the First Edition, but rather a restructured and revamped version of the First Edition. Readers of the First Edition should not feel compelled to purchase this Second Edition.
Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment—as a fully grown Simba looking over the Pride Lands of Africa—then this is the book to gently hoist you up and offer you a clear lay of the land.
In this step-by-step guide you will learn:
• How to download free datasets• What tools and machine learning libraries you need
• Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data
• Preparing data for analysis, including k-fold Validation
• Regression analysis to create trend lines
• Clustering, including k-Means Clustering to find new relationships
• The basics of Neural Networks
• Bias/Variance to improve your machine learning model
• Decision Trees to decode classification
• How to build your first Machine Learning Model to predict house values using Python
Frequently Asked Questions
Q: Do I need programming experience to complete this book?A: This book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see programming language used in this book.
Q: I have already purchased the First Edition of this book, should I purchase this Second Edition?
A: As the majority of the topics from the First Edition are covered in the Second Edition, you may be better served reading a more advanced title on machine learning.
Q: Can I get access to the Kindle version of this book?
A: Yes. Under Amazon’s Matchbook program, the purchaser of this book can add the Kindle version of this title (valued at $3.99 USD) to their Amazon Kindle library at no cost.
Q: Does this book include everything I need to become a machine learning expert?
A: This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Featured by Tableau as the first of "7 Books About Machine Learning for Beginners"
Ready to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?
Well, hold on there...
Before you embark on your epic journey into the world of machine learning, there is some theory and statistical principles to march through first.
But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduction to the practical components and statistical concepts found in machine learning.
Machine Learning for Absolute Beginners Second Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home.
This major new edition features many topics not covered in the First Edition, including Cross Validation, Data Scrubbing and Ensemble Modeling. Please note that this book is not a sequel to the First Edition, but rather a restructured and revamped version of the First Edition. Readers of the First Edition should not feel compelled to purchase this Second Edition.
Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle coding and deep learning, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment—as a fully grown Simba looking over the Pride Lands of Africa—then this is the book to gently hoist you up and offer you a clear lay of the land.
In this step-by-step guide you will learn:
- How to download free datasets
- What tools and machine learning libraries you need
- Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data
- Preparing data for analysis, including k-fold Validation
- Regression analysis to create trend lines
- Clustering, including k-means and k-nearest Neighbors
- The basics of Neural Networks
- Bias/Variance to improve your machine learning model
- Decision Trees to decode classification
- How to build your first Machine Learning Model to predict house values using Python
Frequently Asked Questions
Q: Do I need programming experience to complete this book?
A: This book is designed for absolute beginners, so no programming experience is required. However, two of the later chapters introduce Python to demonstrate an actual machine learning model, so you will see programming language used in this book.
Q: I have already purchased the First Edition of this book, should I purchase this Second Edition?
A: As majority of the topics from the First Edition are covered in the Second Edition, you may be better served reading a more advanced title on machine learning.
Q: Can I get access to the Kindle version of this book?
A: Yes. Under Amazon’s Matchbook program, the purchaser of this book can add the Kindle version of this title (valued at $3.99 USD) to their Amazon Kindle library at no cost.
Q: Does this book include everything I need to become a machine learning expert?
A: This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master machine learning.
“Acerca de” puede pertenecer a otra edición de este título.
BookFarm
San Diego, CA, Estados Unidos de America
Vendedor de AbeBooks desde 29 de octubre de 2022
Tarifas de envío en Estados Unidos de America
| Artículo | De 4 a 11 días hábiles | De 2 a 5 días hábiles |
|---|---|---|
| Primer artículo | EUR 0,00 | EUR 8,23 |
Métodos de pago
Descripción de la tienda
A+++ Customer satisfaction guaranteed!
Especialidad
AllInformación empresarial del vendedor
BookFarm
CA, Estados Unidos de America
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a BookFarm, San Diego, California, U.S.A., sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.