
Machine Learning Bookcamp
Build a Portfolio of Real-Life Projects
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Narrated by:
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Adam Newmark
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By:
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Alexey Grigorev
About this listen
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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Audible version is useless - has no PDF
- By Jim on 03-04-22
By: Francois Chollet
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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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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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Absolutely disastrous
- By D B B on 05-16-24
By: Konrad Banachewicz, and others
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Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- By: Alex Petrov
- Narrated by: Mike Chamberlain
- Length: 12 hrs and 51 mins
- Unabridged
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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.
- By Michael Marcin on 12-18-23
By: Alex Petrov
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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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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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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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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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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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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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Deep Learning with Python (Second Edition)
- By: Francois Chollet
- Narrated by: Derek Dysart
- Length: 15 hrs and 1 min
- Unabridged
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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 Jim on 03-04-22
By: Francois Chollet
-
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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Absolutely disastrous
- By D B B on 05-16-24
By: Konrad Banachewicz, and others
-
Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- By: Alex Petrov
- Narrated by: Mike Chamberlain
- Length: 12 hrs and 51 mins
- Unabridged
-
Overall
-
Performance
-
Story
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.
- By Michael Marcin on 12-18-23
By: Alex Petrov
-
Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- By: Bill Lubanovic
- Narrated by: Derek Dysart
- Length: 13 hrs and 3 mins
- Unabridged
-
Overall
-
Performance
-
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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Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- By: Alex J. Gutman, Jordan Goldmeier
- Narrated by: Brian Arens
- Length: 7 hrs and 41 mins
- Unabridged
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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.
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Great Start for Those interested in data.
- By armando on 09-02-24
By: Alex J. Gutman, 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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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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Deep Learning with Python
- By: Francois Chollet
- Narrated by: Mark Thomas
- Length: 9 hrs and 55 mins
- Unabridged
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Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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Almost Perfect - Better when paired with the book
- By Graham on 10-30-18
By: Francois Chollet
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Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- By: Neal Ford, Mark Richards, Pramod Sadalage, and others
- Narrated by: Dena Dahilig
- Length: 12 hrs and 53 mins
- Unabridged
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There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.
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Great content. Terrible narration.
- By Alex on 12-16-23
By: Neal Ford, and others
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Grokking Machine Learning
- By: Luis Serrano
- Narrated by: Marianne Sheehan
- Length: 15 hrs and 1 min
- Unabridged
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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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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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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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Don't Waste Your Money on the Audio Version
- By wayne kurtz on 12-11-23
By: Hobson Lane, and others
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Building Microservices
- Designing Fine-Grained Systems
- By: Sam Newman
- Narrated by: Theodore O'Brien
- Length: 21 hrs and 12 mins
- Unabridged
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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.
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Easy to Understand
- By Anonymous User on 04-27-22
By: Sam Newman
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Deep Learning with PyTorch
- Build, Train, and Tune Neural Networks Using Python Tools
- By: Eli Stevens, Luca Antiga, Thomas Viehmann
- Narrated by: Mark Thomas
- Length: 15 hrs and 26 mins
- Unabridged
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There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
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Absolutely not suitable for audio
- By Actionwatcher on 08-15-23
By: Eli Stevens, and others
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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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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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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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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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Grokking Algorithms
- By: Aditya Bhargava
- Narrated by: Derek Lettman
- Length: 3 hrs and 46 mins
- Unabridged
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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
- By Anonymous User on 01-09-20
By: Aditya Bhargava
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The Staff Engineer's Path
- A Guide for Individual Contributors Navigating Growth and Change
- By: Tanya Reilly
- Narrated by: Wendy Tremont King
- Length: 13 hrs and 52 mins
- Unabridged
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For years, companies have rewarded their most effective engineers with management positions. But treating management as the default path for an engineer with leadership ability doesn't serve the industry well—or the engineer. The staff engineer's path allows engineers to contribute at a high level as role models, driving big projects, determining technical strategy, and raising everyone's skills. This in-depth book shows you how to understand your role, manage your time, master strategic thinking, and set the standard for technical work.
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Not for all engineers
- By Dan H on 05-27-24
By: Tanya Reilly
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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- JUAN CARLOS MARTINEZ LOERA
- 10-27-24
Good but I mixed ebook + audio book
Since this is a very technical book, I bought the ebook as well, so I read it while listening.
I found is a good formula for this kind of content, the ebook has an AI assistant, through a LLM (I guess trained on the book’s and editorial content) helps to solve any question related with the book.
Good content, but audio book for me was not enough
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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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