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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
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Grandes primeros Títulos
![AI and Machine Learning for Coders Audiolibro Por Laurence Moroney arte de portada](https://m.media-amazon.com/images/I/51-fn5YYb7L._SL240_.jpg)
![Deep Learning with Python (Second Edition) Audiolibro Por Francois Chollet arte de portada](https://m.media-amazon.com/images/I/41Upi0VM2yL._SL240_.jpg)
![Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python Audiolibro Por Hobson Lane, Hannes Hapke, Cole Howard arte de portada](https://m.media-amazon.com/images/I/51YiOoirt9L._SL240_.jpg)
![The Power Law Audiolibro Por Sebastian Mallaby arte de portada](https://m.media-amazon.com/images/I/41LUpOP-qXL._SL240_.jpg)
![Power and Prediction Audiolibro Por Ajay Agrawal, Joshua Gans, Avi Goldfarb arte de portada](https://m.media-amazon.com/images/I/41BtciILiGL._SL240_.jpg)
![Designing Data-Intensive Applications Audiolibro Por Martin Kleppmann arte de portada](https://m.media-amazon.com/images/I/512ESwpmobL._SL240_.jpg)
![The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition Audiolibro Por David Thomas, Andrew Hunt arte de portada](https://m.media-amazon.com/images/I/51A8l+FxFNL._SL240_.jpg)
![Modern Software Engineering Audiolibro Por David Farley arte de portada](https://m.media-amazon.com/images/I/51YZ7o1Y9JL._SL240_.jpg)
![Bernoulli's Fallacy Audiolibro Por Aubrey Clayton arte de portada](https://m.media-amazon.com/images/I/41yyF+q+uPL._SL240_.jpg)
![Algorithms: 3 Books in 1 Audiolibro Por Andy Vickler arte de portada](https://m.media-amazon.com/images/I/51N2DTVRJuL._SL240_.jpg)
![Advanced Algorithms and Data Structures Audiolibro Por Marcello La Rocca arte de portada](https://m.media-amazon.com/images/I/51Un63UGtHL._SL240_.jpg)
![The Art of Statistics Audiolibro Por David Spiegelhalter arte de portada](https://m.media-amazon.com/images/I/61kzxU6p0oL._SL240_.jpg)
![The Kaggle Book Audiolibro Por Konrad Banachewicz, Luca Massaron arte de portada](https://m.media-amazon.com/images/I/51IygSD75JL._SL240_.jpg)
![Grokking Algorithms Audiolibro Por Aditya Bhargava arte de portada](https://m.media-amazon.com/images/I/51jrhDk-UiL._SL240_.jpg)
![Grokking Simplicity: Taming Complex Software with Functional Thinking Audiolibro Por Eric Normand arte de portada](https://m.media-amazon.com/images/I/514I1RhpsdL._SL240_.jpg)
![Effective Software Testing Audiolibro Por Maurizio Aniche arte de portada](https://m.media-amazon.com/images/I/51tV-pKrBmL._SL240_.jpg)
![Python Programming & Machine Learning With Python: 2 Manuscripts in 1 Audiolibro Por William Sullivan arte de portada](https://m.media-amazon.com/images/I/51qgNhSgQcL._SL240_.jpg)
![Data Science for Beginners Audiolibro Por Matt Foster arte de portada](https://m.media-amazon.com/images/I/51FQloKPH0L._SL240_.jpg)
![GANs in Action Audiolibro Por Jakub Langr, Vladimir Bok arte de portada](https://m.media-amazon.com/images/I/51dE-4xR6sS._SL240_.jpg)
![The Well-Grounded Java Developer, Second Edition Audiolibro Por Benjamin Evans, Martijn Verburg, Jason Clark arte de portada](https://m.media-amazon.com/images/I/51MfouIx-XL._SL240_.jpg)
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![Real-World Machine Learning Audiolibro Por Henrik Brink, Joseph Richards, Mark Fetherolf arte de portada](https://m.media-amazon.com/images/I/417rvR8CyeL._SL240_.jpg)
![Machine Learning with Python Audiolibro Por Paige Jacobs arte de portada](https://m.media-amazon.com/images/I/516+1L7z2aL._SL240_.jpg)
![Python Programming: Your Intermediate Guide to Learn Python in 7 Days Audiolibro Por Maurice J. Thompson arte de portada](https://m.media-amazon.com/images/I/51Jj4XqO4wL._SL240_.jpg)
![Python Programming Audiolibro Por Maurice J. Thompson arte de portada](https://m.media-amazon.com/images/I/51D6qpz-vUL._SL240_.jpg)
![Seriously Good Software: Code That Works, Survives, and Wins Audiolibro Por Marco Faella arte de portada](https://m.media-amazon.com/images/I/516bxVAzyuL._SL240_.jpg)
![Python Machine Learning Guide for Beginners & Intermediates: The Future Is Here! Audiolibro Por William Sullivan arte de portada](https://m.media-amazon.com/images/I/51WUJl2EC0L._SL240_.jpg)
![Spark in Action Audiolibro Por Petar Zecevic, Marko Bonaci arte de portada](https://m.media-amazon.com/images/I/41HYtSkOZZL._SL240_.jpg)
![Deep Learning with Python Audiolibro Por William Sullivan arte de portada](https://m.media-amazon.com/images/I/513ph63LsqL._SL240_.jpg)
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Resumen del Editor
Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application.
Summary
In Machine Learning Bookcamp, you will:
- Collect and clean data for training models
- Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow
- Apply ML to complex datasets with images
- Deploy ML models to a production-ready environment
The only way to learn is to practice!
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.
About the technology:
Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three!
About the book:
Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you’ll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You’ll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills!
About the listener:
Python programming skills assumed. No previous ML knowledge is required.
About the author:
Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.
Club, a community of people who love data.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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- De: Luis Serrano
- Narrado por: Marianne Sheehan
- Duración: 15 h y 1 m
- Versión completa
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Discover valuable machine learning techniques you can understand and apply using just high school math. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.
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Bad as an audiobook
- De Amazon Customer en 04-05-24
De: Luis Serrano
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Advanced Algorithms and Data Structures
- De: Marcello La Rocca
- Narrado por: Julie Brierley
- Duración: 23 h y 32 m
- Versión completa
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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.
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Wonderful audio textbook!
- De Howard_a en 11-02-21
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Algorithms: 3 Books in 1
- Practical Guide to Learn Algorithms for Beginners + Design Algorithms to Solve Common Problems + Advanced Data Structures for Algorithms
- De: Andy Vickler
- Narrado por: Helpful Matthew
- Duración: 13 h y 54 m
- Versión completa
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An algorithm is a set of rules or instructions you provide to a system. The system performs a specific process to answer a question using these instructions. As an amateur or expert, it is important for you to understand what an algorithm is and how you should define it. Once you learn to develop an algorithm, you can easily learn to develop code to execute that algorithm. This three-in-one audio guide will give you the knowledge you need.
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just reading code
- De joey en 05-08-22
De: Andy Vickler
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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
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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.
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The Best ML Book on Audible
- De Dejan en 07-20-24
De: Hobson Lane, y otros
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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
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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.
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Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
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Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
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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.
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the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
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Pandas in Action
- De: Boris Paskhaver
- Narrado por: Julie Brierley
- Duración: 7 h y 12 m
- Versión completa
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Take the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software.
De: Boris Paskhaver
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Data Science Bookcamp
- Five Real-World Python Projects
- De: Leonard Apeltsin
- Narrado por: Julie Brierley
- Duración: 18 h y 1 m
- Versión completa
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Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp, you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.
De: Leonard Apeltsin
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Grokking Artificial Intelligence Algorithms
- Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples
- De: Rishal Hurbans
- Narrado por: Jeromy Lloyd, Julie Brierley
- Duración: 7 h y 25 m
- Versión completa
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Grokking Artificial Intelligence Algorithms is a fully illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises.
De: Rishal Hurbans
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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
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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
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API Design Patterns
- De: JJ Geewax
- Narrado por: Sarah Dawe
- Duración: 16 h y 34 m
- Versión completa
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API Design Patterns lays out a set of design principles for building internal and public-facing APIs. Google API expert JJ Geewax presents patterns that ensure your APIs are consistent, scalable, and flexible. You’ll improve the design of the most common APIs, plus discover techniques for tricky edge cases. Relevant examples and detailed scenarios make every pattern clear and easy to understand.
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Narration is unbearable
- De JC en 11-13-22
De: JJ Geewax
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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
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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.
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I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
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Data Mesh
- Delivering Data-Driven Value at Scale
- De: Zhamak Dehghani
- Narrado por: Zura Johnson
- Duración: 14 h y 2 m
- Versión completa
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We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
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Great coverage of current and future data product states.
- De Inktense en 08-24-24
De: Zhamak Dehghani
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Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
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This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
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Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
Lo que los oyentes dicen sobre Machine Learning Bookcamp
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- Anonymous
- 01-25-23
Thank you!
My review may be biased.
I'm a slow reader and need this audio to speed up my reading.
The audiobook comes with a PDF file downable on Audible.com, but I still purchased a paper copy of this book to ease my studying. (and the result is great!)
The author is fantastic in producing visual illustrations to simplify math and logic learning.
My background is old school imperative Java/C programming and I benefit from these illustrations to adapt to vectorization programming paradigm.
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