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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- Narrated by: Adam Newmark
- Length: 8 hrs and 49 mins
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Publisher's summary
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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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
- By Amazon Customer on 04-05-24
By: Luis Serrano
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Deep Learning with Python (Second Edition)
- By: Francois Chollet
- Narrated by: Derek Dysart
- Length: 15 hrs and 1 min
- Unabridged
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Overall
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Performance
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Story
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.
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Audible version is useless - has no PDF
- By Amazon Customer on 03-04-22
By: Francois Chollet
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Advanced Algorithms and Data Structures
- By: Marcello La Rocca
- Narrated by: Julie Brierley
- Length: 23 hrs and 32 mins
- Unabridged
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Overall
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Performance
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Story
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!
- By Howard_a on 11-02-21
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The Kaggle Book
- Data Analysis and Machine Learning for Competitive Data Science
- By: Konrad Banachewicz, Luca Massaron
- Narrated by: Alex Freeman
- Length: 12 hrs and 29 mins
- Unabridged
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Overall
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Performance
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Story
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.
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Game Changer
- By Jon Bown on 03-05-23
By: Konrad Banachewicz, and others
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- By: Laurence Moroney
- Narrated by: Timothy Howard Jackson
- Length: 9 hrs and 17 mins
- Unabridged
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Story
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.
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- By Luc on 08-11-23
By: Laurence Moroney
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AI at the Edge
- Solving Real-World Problems with Embedded Machine Learning
- By: Daniel Situnayake, Jenny Plunkett
- Narrated by: Suzie Althens
- Length: 17 hrs and 17 mins
- Unabridged
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Overall
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Performance
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Story
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.
By: Daniel Situnayake, and others
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Grokking Machine Learning
- By: Luis Serrano
- Narrated by: Marianne Sheehan
- Length: 15 hrs and 1 min
- Unabridged
-
Overall
-
Performance
-
Story
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.
-
-
Bad as an audiobook
- By Amazon Customer on 04-05-24
By: Luis Serrano
-
Deep Learning with Python (Second Edition)
- By: Francois Chollet
- Narrated by: Derek Dysart
- Length: 15 hrs and 1 min
- Unabridged
-
Overall
-
Performance
-
Story
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
- By Amazon Customer on 03-04-22
By: Francois Chollet
-
Advanced Algorithms and Data Structures
- By: Marcello La Rocca
- Narrated by: Julie Brierley
- Length: 23 hrs and 32 mins
- Unabridged
-
Overall
-
Performance
-
Story
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!
- By Howard_a on 11-02-21
-
The Kaggle Book
- Data Analysis and Machine Learning for Competitive Data Science
- By: Konrad Banachewicz, Luca Massaron
- Narrated by: Alex Freeman
- Length: 12 hrs and 29 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
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Game Changer
- By Jon Bown on 03-05-23
By: Konrad Banachewicz, and others
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Grokking Algorithms
- By: Aditya Bhargava
- Narrated by: Derek Lettman
- Length: 3 hrs and 46 mins
- Unabridged
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Overall
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Performance
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Story
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
- By Anonymous User on 01-09-20
By: Aditya Bhargava
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Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- By: Hobson Lane, Hannes Hapke, Cole Howard
- Narrated by: Mark Thomas
- Length: 18 hrs and 29 mins
- Unabridged
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Overall
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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
- By Dejan on 07-20-24
By: Hobson Lane, and others
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Data Science Bookcamp
- Five Real-World Python Projects
- By: Leonard Apeltsin
- Narrated by: Julie Brierley
- Length: 18 hrs and 1 min
- Unabridged
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Overall
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Performance
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Story
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.
By: Leonard Apeltsin
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Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- By: Bill Lubanovic
- Narrated by: Derek Dysart
- Length: 13 hrs and 3 mins
- Unabridged
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Overall
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Performance
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Story
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.
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Exactly what I wanted and expected.
- By ridgeway137 on 03-05-24
By: Bill Lubanovic
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API Design Patterns
- By: JJ Geewax
- Narrated by: Sarah Dawe
- Length: 16 hrs and 34 mins
- Unabridged
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Overall
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Performance
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Story
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
- By JC on 11-13-22
By: JJ Geewax
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GANs in Action
- Deep Learning with Generative Adversarial Networks
- By: Jakub Langr, Vladimir Bok
- Narrated by: Julie Brierley
- Length: 6 hrs and 23 mins
- Unabridged
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Overall
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Performance
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Story
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.
By: Jakub Langr, and others
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Deep Learning for Finance
- Creating Machine & Deep Learning Models for Trading in Python
- By: Sofien Kaabar
- Narrated by: Mike Chamberlain
- Length: 10 hrs and 14 mins
- Unabridged
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Overall
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Performance
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Story
Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.
By: Sofien Kaabar
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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- By: Joe Reis, Matt Housley
- Narrated by: Adam Verner
- Length: 17 hrs and 31 mins
- Unabridged
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Overall
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Performance
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Story
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
- By LmL on 08-14-24
By: Joe Reis, and others
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Pipeline as Code: Continuous Delivery with Jenkins, Kubernetes, and Terraform
- By: Mohamed Labouardy
- Narrated by: Adam Newmark
- Length: 9 hrs and 41 mins
- Unabridged
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Overall
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Performance
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Story
Start thinking about your development pipeline as a mission-critical application. Pipeline as Code is a practical guide to automating your development pipeline in a cloud-native, service-driven world. You’ll use the latest infrastructure-as-code tools like Packer and Terraform to develop reliable CI/CD pipelines for numerous cloud-native applications. Treat your CI/CD pipeline like the real application it is. With the Pipeline as Code approach, you create a collection of scripts that replace the tedious web UI wrapped around most CI/CD systems.
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Data Mesh
- Delivering Data-Driven Value at Scale
- By: Zhamak Dehghani
- Narrated by: Zura Johnson
- Length: 14 hrs and 2 mins
- Unabridged
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Overall
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Performance
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Story
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.
- By Inktense on 08-24-24
By: Zhamak Dehghani
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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
- By: Rishal Hurbans
- Narrated by: Jeromy Lloyd, Julie Brierley
- Length: 7 hrs and 25 mins
- Unabridged
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Overall
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Performance
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Story
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.
By: Rishal Hurbans
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The Programmer's Brain
- What Every Programmer Needs to Know About Cognition
- By: Felienne Hermans
- Narrated by: Christopher Kendrick
- Length: 9 hrs and 33 mins
- Unabridged
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Overall
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Performance
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Story
Your brain responds in a predictable way when it encounters new or difficult tasks. This unique book teaches you concrete techniques rooted in cognitive science that will improve the way you learn and think about code. Learn how to optimize your brain’s natural cognitive processes to read code more easily, write code faster, and pick up new languages in much less time. This book will help you through the confusion you feel when faced with strange and complex code, and explain a codebase in ways that can make a new team member productive in days!
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Every 10min you are asked to "look at the code"
- By Bolita on 05-08-22
By: Felienne Hermans
What listeners say about Machine Learning Bookcamp
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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Overall
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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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