
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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Narrado por:
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Matthew Kinsey
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Shane Makena
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De:
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David Park
Acerca de esta escucha
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.
©2020 David Park (P)2020 David ParkLos oyentes también disfrutaron...
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Letters from an Astrophysicist
- De: Neil deGrasse Tyson
- Narrado por: Neil deGrasse Tyson, Vikas Adam, Piper Goodeve, y otros
- Duración: 5 h y 35 m
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Astrophysicist Neil deGrasse Tyson has attracted one of the world’s largest online followings with his fascinating, widely accessible insights into science and our universe. Now, Tyson invites us to go behind the scenes of his public fame by unveiling his candid correspondence with people across the globe who have sought him out in search of answers. In this hand-picked collection of 100 letters, Tyson draws upon cosmic perspectives to address a vast array of questions about science, faith, philosophy, life, and of course, Pluto.
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Dear Neil...
- De Tina G. en 10-14-19
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Welcome to the Universe
- An Astrophysical Tour
- De: Michael A. Strauss, J. Richard Gott, Neil deGrasse Tyson
- Narrado por: Michael Butler Murray
- Duración: 17 h y 53 m
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Welcome to the Universe is a personal guided tour of the cosmos by three of today's leading astrophysicists. Inspired by the enormously popular introductory astronomy course that Neil deGrasse Tyson, Michael A. Strauss, and J. Richard Gott taught together at Princeton, this book covers it all - from planets, stars, and galaxies to black holes, wormholes, and time travel.
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All About What We Know About the Universe - ALL
- De J.B. en 02-17-17
De: Michael A. Strauss, y otros
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Inspired
- How to Create Tech Products Customers Love, Second Edition
- De: Marty Cagan
- Narrado por: Marty Cagan
- Duración: 7 h y 45 m
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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
- De Srikanth Ramanujam en 11-15-18
De: Marty Cagan
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My Big TOE: Discovery
- Book Two of a Trilogy Unifying Philosophy, Physics, and Metaphysics
- De: Thomas Campbell
- Narrado por: Thomas Campbell
- Duración: 15 h y 25 m
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Section 3 develops the interface and interaction between we the people and our digital consciousness reality. It derives and explains the characteristics, origins, dynamics, and function of ego, love, and free will. It derives our larger purpose. Finally, Section 3 develops the psi uncertainty principle as it explains and interrelates psi phenomena, free will, love, consciousness evolution, reality, human purpose, entropy and physics.
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A guidebook to a bigger reality & realization
- De Diana en 11-27-13
De: Thomas Campbell
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Ten Drugs
- How Plants, Powders, and Pills Have Shaped the History of Medicine
- De: Thomas Hager
- Narrado por: Angelo Di Loreto
- Duración: 8 h y 39 m
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Beginning with opium, the “joy plant,” which has been used for 10,000 years, Thomas Hager tells a captivating story of medicine. His subjects include the largely forgotten female pioneer who introduced smallpox inoculation to Britain, the infamous knockout drops, the first antibiotic, which saved countless lives, the first antipsychotic, which helped empty public mental hospitals, Viagra, statins, and the new frontier of monoclonal antibodies. This is a deep, wide-ranging, and wildly entertaining book.
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Engrossing to physicians & lay persons alike
- De C. White en 03-08-19
De: Thomas Hager
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A Crack in Creation
- Gene Editing and the Unthinkable Power to Control Evolution
- De: Jennifer A. Doudna, Samuel H. Sternberg
- Narrado por: Erin Bennett
- Duración: 9 h y 22 m
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Not since the atomic bomb has a technology so alarmed its inventors that they warned the world about its use. Not, that is, until the spring of 2015, when biologist Jennifer Doudna called for a worldwide moratorium on the use of the new gene-editing tool CRISPR - a revolutionary new technology that she helped create - to make heritable changes in human embryos.
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In to the abyss we ascend, a scary future
- De Philomath en 06-17-17
De: Jennifer A. Doudna, y otros
Lo que los oyentes dicen sobre Machine Learning with Python
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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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