
The Kaggle Book
Data Analysis and Machine Learning for Competitive Data Science
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast

Compra ahora por $24.95
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Alex Freeman
Acerca de esta escucha
Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career.
The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond. Two Kaggle grandmasters walk you through modeling strategies you won't easily find elsewhere, and the knowledge they've accumulated along the way. As well as Kaggle-specific tips, you'll learn more general techniques for approaching tasks based on image, tabular, textual data, and reinforcement learning. You'll design better validation schemes and work more comfortably with different evaluation metrics.
Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this audiobook is for you.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2022 Packt Publishing (P)2022 Packt PublishingLos oyentes también disfrutaron...
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General
-
Narración:
-
Historia
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
- Versión completa
-
General
-
Narración:
-
Historia
In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
-
-
Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
-
Build a Career in Data Science
- De: Emily Robinson, Jacqueline Nolis
- Narrado por: Jeromy Lloyd
- Duración: 14 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee.
-
-
Excellent complement to an introductory course in Data Science
- De Basheer en 07-15-21
De: Emily Robinson, y otros
-
Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
-
Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
-
Modern Software Engineering
- Doing What Works to Build Better Software Faster
- De: David Farley
- Narrado por: Amy Gordon
- Duración: 9 h y 37 m
- Versión completa
-
General
-
Narración:
-
Historia
In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.
-
-
Could have been a 1-page bulleted list
- De Elle7se en 12-30-22
De: David Farley
-
Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- De: Hobson Lane, Hannes Hapke, Cole Howard
- Narrado por: Mark Thomas
- Duración: 18 h y 29 m
- Versión completa
-
General
-
Narración:
-
Historia
Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
-
-
Don't Waste Your Money on the Audio Version
- De wayne kurtz en 12-11-23
De: Hobson Lane, y otros
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General
-
Narración:
-
Historia
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
- Versión completa
-
General
-
Narración:
-
Historia
In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
-
-
Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
-
Build a Career in Data Science
- De: Emily Robinson, Jacqueline Nolis
- Narrado por: Jeromy Lloyd
- Duración: 14 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee.
-
-
Excellent complement to an introductory course in Data Science
- De Basheer en 07-15-21
De: Emily Robinson, y otros
-
Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
-
Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
-
Modern Software Engineering
- Doing What Works to Build Better Software Faster
- De: David Farley
- Narrado por: Amy Gordon
- Duración: 9 h y 37 m
- Versión completa
-
General
-
Narración:
-
Historia
In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.
-
-
Could have been a 1-page bulleted list
- De Elle7se en 12-30-22
De: David Farley
-
Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- De: Hobson Lane, Hannes Hapke, Cole Howard
- Narrado por: Mark Thomas
- Duración: 18 h y 29 m
- Versión completa
-
General
-
Narración:
-
Historia
Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
-
-
Don't Waste Your Money on the Audio Version
- De wayne kurtz en 12-11-23
De: Hobson Lane, y otros
-
The Model Thinker
- What You Need to Know to Make Data Work for You
- De: Scott E. Page
- Narrado por: Jamie Renell
- Duración: 15 h y 45 m
- Versión completa
-
General
-
Narración:
-
Historia
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.
-
-
It does not work on Audible
- De Hamilton Carvalho en 05-14-21
De: Scott E. Page
-
Solutions Architect's Handbook
- Kick-Start Your Solutions Architect Career by Learning Architecture Design Principles and Strategies
- De: Saurabh Shrivastava, Neelanjali Srivastav
- Narrado por: Mark Armstrong
- Duración: 17 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.
-
-
Audio isn't a good fit for material
- De William May en 04-05-23
De: Saurabh Shrivastava, y otros
-
Algorithms to Live By
- The Computer Science of Human Decisions
- De: Brian Christian, Tom Griffiths
- Narrado por: Brian Christian
- Duración: 11 h y 50 m
- Versión completa
-
General
-
Narración:
-
Historia
From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
-
-
Great listen, just don't expect tips!
- De Adam Hosman en 08-07-17
De: Brian Christian, y otros
-
Advanced Algorithms and Data Structures
- De: Marcello La Rocca
- Narrado por: Julie Brierley
- Duración: 23 h y 32 m
- Versión completa
-
General
-
Narración:
-
Historia
As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.
-
-
Wonderful audio textbook!
- De Howard_a en 11-02-21
-
The Alignment Problem
- Machine Learning and Human Values
- De: Brian Christian
- Narrado por: Brian Christian
- Duración: 13 h y 33 m
- Versión completa
-
General
-
Narración:
-
Historia
Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.
-
-
Required reading for any AI course
- De ehan ferguson en 11-16-20
De: Brian Christian
-
Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
-
General
-
Narración:
-
Historia
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
-
-
Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
-
The Art of Statistics
- How to Learn from Data
- De: David Spiegelhalter
- Narrado por: Jonathan Davis
- Duración: 9 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.
-
-
very good statistics overview
- De Tom en 11-29-19
-
GANs in Action
- Deep Learning with Generative Adversarial Networks
- De: Jakub Langr, Vladimir Bok
- Narrado por: Julie Brierley
- Duración: 6 h y 23 m
- Versión completa
-
General
-
Narración:
-
Historia
GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.
De: Jakub Langr, y otros
-
The Data Detective
- Ten Easy Rules to Make Sense of Statistics
- De: Tim Harford
- Narrado por: Tim Harford
- Duración: 10 h y 24 m
- Versión completa
-
General
-
Narración:
-
Historia
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.
-
-
I expected more
- De A. Visserman en 03-09-21
De: Tim Harford
-
Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
-
General
-
Narración:
-
Historia
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
-
-
the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
-
Machine Learning for Smart Learners
- Discover and Learn About Neural Network, Dataset, Python, Libraries and Applications to Build Intelligent Systems
- De: Melvin Doyle
- Narrado por: Valentina Di Paola
- Duración: 3 h y 31 m
- Versión completa
-
General
-
Narración:
-
Historia
Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by fine-tuned algorithms trained with huge data sets. In this guide, you're going to be handed all the information and tools you need to transform data into powerful insights.
-
-
This is a joke or a hoax
- De Anonymous User en 01-29-20
De: Melvin Doyle
-
Python for Data Science
- The Ultimate Guide for Beginners. Machine Learning Tools, Concepts and Introduction. Python Programming Crash Course.
- De: Tony F. Charles
- Narrado por: Russell Newton
- Duración: 3 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.
De: Tony F. Charles
Las personas que vieron esto también vieron...
-
Machine Learning Interviews
- Kickstart Your Machine Learning and Data Career
- De: Susan Shu Chang
- Narrado por: Xifeng Brooks
- Duración: 9 h y 39 m
- Versión completa
-
General
-
Narración:
-
Historia
As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.
-
-
Great advice, and read well.
- De Goodmann en 01-26-25
De: Susan Shu Chang
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General
-
Narración:
-
Historia
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Time Series Forecasting in Python
- De: Marco Peixeiro
- Narrado por: Adam Newmark
- Duración: 10 h y 54 m
- Versión completa
-
General
-
Narración:
-
Historia
Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.
-
-
Not meant to be an audiobook
- De juliamc en 12-12-23
De: Marco Peixeiro
-
Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
-
General
-
Narración:
-
Historia
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
-
-
The best data science manual ever written
- De Jordan en 08-29-24
De: Alex J. Gutman, y otros
-
Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
-
General
-
Narración:
-
Historia
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
-
-
the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
-
General
-
Narración:
-
Historia
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
-
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
Machine Learning Interviews
- Kickstart Your Machine Learning and Data Career
- De: Susan Shu Chang
- Narrado por: Xifeng Brooks
- Duración: 9 h y 39 m
- Versión completa
-
General
-
Narración:
-
Historia
As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.
-
-
Great advice, and read well.
- De Goodmann en 01-26-25
De: Susan Shu Chang
-
AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
-
General
-
Narración:
-
Historia
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Time Series Forecasting in Python
- De: Marco Peixeiro
- Narrado por: Adam Newmark
- Duración: 10 h y 54 m
- Versión completa
-
General
-
Narración:
-
Historia
Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.
-
-
Not meant to be an audiobook
- De juliamc en 12-12-23
De: Marco Peixeiro
-
Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
-
General
-
Narración:
-
Historia
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
-
-
The best data science manual ever written
- De Jordan en 08-29-24
De: Alex J. Gutman, y otros
-
Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
-
General
-
Narración:
-
Historia
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
-
-
the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
-
General
-
Narración:
-
Historia
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
-
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
- Versión completa
-
General
-
Narración:
-
Historia
In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
-
-
Good but I mixed ebook + audio book
- De JUAN CARLOS MARTINEZ LOERA en 10-27-24
De: Alexey Grigorev
-
Why Machines Learn
- The Elegant Math Behind Modern AI
- De: Anil Ananthaswamy
- Narrado por: Rene Ruiz
- Duración: 13 h y 30 m
- Versión completa
-
General
-
Narración:
-
Historia
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
-
-
A great listen, but a physical book is pre appropriate
- De Sameer D. en 11-07-24
-
Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- De: Bill Lubanovic
- Narrado por: Derek Dysart
- Duración: 13 h y 3 m
- Versión completa
-
General
-
Narración:
-
Historia
Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
-
-
Exactly what I wanted and expected.
- De ridgeway137 en 03-05-24
De: Bill Lubanovic
-
AI at the Edge
- Solving Real-World Problems with Embedded Machine Learning
- De: Daniel Situnayake, Jenny Plunkett
- Narrado por: Suzie Althens
- Duración: 17 h y 17 m
- Versión completa
-
General
-
Narración:
-
Historia
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.
De: Daniel Situnayake, y otros
-
Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- De: Alex Petrov
- Narrado por: Mike Chamberlain
- Duración: 12 h y 51 m
- Versión completa
-
General
-
Narración:
-
Historia
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
-
-
I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
-
Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
-
-
Audible version is useless - has no PDF
- De Jim en 03-04-22
De: Francois Chollet
-
A Random Walk Down Wall Street, 12th Edition
- The Time Tested Strategy for Successful Investing
- De: Burton G. Malkiel
- Narrado por: George Guidall
- Duración: 11 h y 42 m
- Versión completa
-
General
-
Narración:
-
Historia
At a time of frightening volatility, what is the average investor to do? The answer: Turn to Burton G. Malkiel's advice in his reassuring, authoritative, gimmick-free, and perennially best-selling guide to investing. Long established as the first book to purchase before starting a portfolio or 401(k), A Random Walk Down Wall Street now features new material on "tax-loss harvesting", the crown jewel of tax management; the current bitcoin bubble; and automated investment advisers; as well as a brand-new chapter on factor investing and risk parity.
-
-
Why no pdf of charts???
- De P. Kastenholz en 06-27-19
-
The Data Detective
- Ten Easy Rules to Make Sense of Statistics
- De: Tim Harford
- Narrado por: Tim Harford
- Duración: 10 h y 24 m
- Versión completa
-
General
-
Narración:
-
Historia
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.
-
-
I expected more
- De A. Visserman en 03-09-21
De: Tim Harford
-
Storytelling with Data
- A Data Visualization Guide for Business Professionals
- De: Cole Nussbaumer Knaflic
- Narrado por: Cole Nussbaumer Knaflic
- Duración: 5 h y 43 m
- Versión completa
-
General
-
Narración:
-
Historia
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.
-
-
Very insightful and actionable
- De Amazon Customer en 04-27-18
-
Solutions Architect's Handbook
- Kick-Start Your Solutions Architect Career by Learning Architecture Design Principles and Strategies
- De: Saurabh Shrivastava, Neelanjali Srivastav
- Narrado por: Mark Armstrong
- Duración: 17 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.
-
-
Audio isn't a good fit for material
- De William May en 04-05-23
De: Saurabh Shrivastava, y otros
-
Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
-
-
Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
-
Building Microservices
- Designing Fine-Grained Systems
- De: Sam Newman
- Narrado por: Theodore O'Brien
- Duración: 21 h y 12 m
- Versión completa
-
General
-
Narración:
-
Historia
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
-
-
Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
Game Changer
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Kaggle (KAH-gul) is a data science platform. Kegel (KAY-guhl) is a pelvic floor exercise. Astonishingly, he does this even in the sentence where he says that the name was chosen to rhyme with "gaggle."
I contacted Packt to see if they could provide an explanation, but I couldn't get passed their GPT-generated form letters. All in all, a shameful adaptation to audiobook, and a bad sign for any Packt books I might see on Audible in the future.
Absolutely disastrous
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.