Machine Learning with Python
2 Manuscript in 1: Complete Guide to Learning Machine Learning & What You Need to Know About Data Science
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Narrated by:
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Matthew Kinsey
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Shane Makena
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By:
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David Park
About this listen
It is not necessary to work on the projects associated with your job profile; you can work overtime by working on some projects which are not related to your job profile but go perfectly with your skill sets. It would lead to having a good impression on your boss, which would further lead to promotions. It might lead to a change in your role in the organization. This would lead you to the road map of your career in this field.
Python is a high-level scripting language. It is easy to learn and more robust than other languages because of its dynamic nature and simple syntax, which allows small lines of code. Indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly.
In industries, machine learning using Python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations. Also, it can be operated on Linux, Windows, Mac OS, and UNIX.
What you will gain in this book:
- What is meant by machine learning?
- A short history of machine learning
- Machine learning - automation within a knowledge
- The challenges of machine learning
- Advantages and disadvantages of machine learning language
- Machine learning in robotics
- Machine learning applications
- Machine learning algorithms
- How machine learning is changing the world - and your everyday life
Machine learning is a new, trending field these days and is an application of artificial intelligence. The main aim of machine learning is to create intelligent machines that can think and work like human beings.
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From launchpad explosions to a pernicious cricket infestation to the demanding management style of Musk himself, the rise of SpaceX was beset with challenges and far from inevitable. Find out how the startup beat the odds and flew high enough to outpace their rivals... and where they're going next.
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Appreciated the engineering details
- By Will on 10-19-24
By: Eric Berger
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Inspired
- How to Create Tech Products Customers Love, Second Edition
- By: Marty Cagan
- Narrated by: Marty Cagan
- Length: 7 hrs and 45 mins
- Unabridged
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How do today's most successful tech companies - Amazon, Google, Facebook, Netflix, Tesla - design, develop, and deploy the products that have earned the love of literally billions of people around the world? Perhaps surprisingly, they do it very differently from the vast majority of tech companies. In Inspired, technology product management thought leader Marty Cagan provides listeners with a master class in how to structure and staff a vibrant and successful product organization and how to discover and deliver technology products that your customers will love.
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Great book, terrible audio wanted to ask a refund
- By Srikanth Ramanujam on 11-15-18
By: Marty Cagan
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The Butchering Art
- Joseph Lister's Quest to Transform the Grisly World of Victorian Medicine
- By: Lindsey Fitzharris
- Narrated by: Ralph Lister
- Length: 7 hrs and 54 mins
- Unabridged
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In The Butchering Art, the historian Lindsey Fitzharris reveals the shocking world of 19th-century surgery on the eve of profound transformation. She conjures up early operating theaters - no place for the squeamish - and surgeons, working before anesthesia, who were lauded for their speed and brute strength. They were baffled by the persistent infections that kept mortality rates stubbornly high. A young, melancholy Quaker surgeon named Joseph Lister would solve the deadly riddle and change the course of history.
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Not one boring moment!
- By WRWF on 12-22-17
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Cosmic Queries
- StarTalk’s Guide to Who We Are, How We Got Here, and Where We’re Going
- By: James Trefil, Lindsey N. Walker - editor, Neil deGrasse Tyson
- Narrated by: Neil deGrasse Tyson, Lauren Fortgang
- Length: 6 hrs and 18 mins
- Unabridged
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In this illuminating audiobook, Tyson and coauthor James Trefil, a renowned physicist and science popularizer, take on the big questions that humanity has been posing for millennia - How did life begin? What is our place in the universe? Are we alone? - and provide answers based on the most current data, observations, and theories.
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Not worth it
- By Daniel Earl on 03-15-21
By: James Trefil, and others
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Ranger Confidential
- Living, Working, and Dying in the National Parks
- By: Andrea Lankford
- Narrated by: Julia Motyka
- Length: 9 hrs and 28 mins
- Unabridged
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The real stories behind the scenery of America’s national parks. For 12 years, Andrea Lankford lived in the biggest, most impressive national parks in the world, working a job she loved. She chaperoned baby sea turtles on their journey to sea. She pursued bad guys on her galloping patrol horse. She jumped into rescue helicopters bound for the heart of the Grand Canyon. She won arguments with bears. She slept with a few too many rattlesnakes. Hell yeah, it was the best job in the world! Fortunately, Andrea survived it.
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Depressing from Cover to Cover
- By Drew (@drewsant) on 04-13-15
By: Andrea Lankford
What listeners say about Machine Learning with Python
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Betty J. Miller
- 04-04-20
Best audio book
This is the best audio book you can buy if you want to implement machine learning to your project.
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- Willie J. Collins
- 04-04-20
Highly recommended!
This audio book helped me immensely with understanding and using a lot of different kinds of machine learning models. Highly recommended!
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- Caren S. Gregory
- 04-04-20
Easy to follow
The examples in the audio book are really good and easy to follow. I have been using this as a reference for my project. It’s worth every penny!
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- Curtis P. Bennett
- 04-04-20
Very practical
Wonderful audio book! Just what I expected. Very practical, hands-on like the title says. I have the first edition and I don’t regret one single bit buying the second. A must for any machine learning practitioner!
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- Anthony V. Tracy
- 04-04-20
The most complete python based ML audio book
A classic. Clearly demarcated to sklearn based non-deep learning ML section and the deep learning portion which goes in-depth into Keras and tf. A good amount of material on deep reinforcement learning as well.
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- Jeffery I. Myers
- 04-04-20
I would recommend this audio book
The audio book is meant more for practitioners but there is still enough math and lots of references to papers if the listener wants more theoretical information. I would recommend this audio book to anyone whether you are an undergrad or a PhD with several years of experience. Truly a well written audio book !
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- Bob E. Beasley
- 04-04-20
Like it!
What I really like about this is a audio book is that the author knows how to explain ML concepts by solving a real-world example problem, as opposed to just explaining the theory.
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- Hellen K. Canty
- 04-04-20
Good
Excellent audio book to get into the most popular libraries for machine learning using python. Good examples and support.
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- Kevin E. Winders
- 04-04-20
Detailed
I'm very pleased with this audio book. I enjoy the little bits of humor here and there, and it does a great job not glossing over important details that might be a stumbling block for someone.
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- Pearline R. Rowland
- 04-04-20
Choose it for ML
If you want a audio book to illustrate ML algorithms with TF implementation, you can choose this one.
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