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Python Machine Learning: Learn Python in a Week and Master It. An Hands-On Introduction to Artificial Intelligence Coding, a Project-Based Guide with Practical Exercises (7 Days Crash Course, Book 2) Kindle Edition
Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it?
Here's the deal... As a beginner you might think that programming is complex... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high. So, if you have a project to develop you could think on hiring a professional developer to shorten the time. This may seem like a good solution but it is certainly very expensive and if the developer you chose doesn't perform a proper job you still have to pay for it.
The best solution is to follow a complete programming manual with hands-on projects and practical exercises. Computer Programming Academy structured this guide as a course with seven chapters for seven days and studied special exercises for each section to apply what you have learned step-by-step. This protocol, tested on both total beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result of this method has been one for both categories of students: the content of the course was learned faster and remembered longer respect the average.
Inside this book, you will go through a first section in which fundamental and basic notions of deep learning are discussed, to get to the next chapters crafted specifically to help you learn advanced coding concepts required to develop training data sets for the production of successful machine learning models.
In the detail, you will learn:
- Why Python is considered the fundamental tool for machine learning
- Deep understanding of the significance of machine learning in our daily lives and why you cannot ignored its importance in 2020
- 12 machine learning models that you must study as a beginner
- The most common mistakes to avoid when you start building machine learning models with Python
- Step-by-step instructions to install required packages to set up a machine learning coding environment
- The algorithms that will make your life easier while coding artificial intelligence
- A proven strategy to process raw data to generate high quality training data sets
- A simple method to build the desired machine learning model in less than 7 days
- The 2 main libraries you need implementing to develop a neural network
- Exercises and quizzes at the end of every chapter to review immediately what you’ve learned
- Extra content that you will appreciate as curious technology enthusiast
Why is this book different? Most of the books on the market only take a brief look into machine learning, showing some of the topics but never going deep concretely. The best way to learn machine learning with Python is by doing and with this manual you will work through applicable projects in order to solidify your knowledge and obtain a huge sense of achievement.
This is what this guide offers to you, even if you're completely new to programming in 2020 or you are just looking to widen your skills as programmer.
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Scroll up to the top of the page and select the BUY NOW button. The key to become a Python master is one click away!
- LanguageEnglish
- Publication dateFebruary 7, 2020
- File size7052 KB
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Product details
- ASIN : B084LR1Z69
- Publication date : February 7, 2020
- Language : English
- File size : 7052 KB
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Not Enabled
- Sticky notes : On Kindle Scribe
- Print length : 212 pages
- Page numbers source ISBN : B084DQKPXQ
- Best Sellers Rank: #828,517 in Kindle Store (See Top 100 in Kindle Store)
- #13 in Software Calculators
- #64 in Word Processing (Kindle Store)
- #133 in Word Processing Books
- Customer Reviews:
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So let's start with that. The poor writing throughout the book is extremely distracting. The author (who is not named anywhere in the book) wallpapers each page with quotation marks for no reason, sometimes single, sometimes double. Commas are often misused. And there are strange sentences like "So it is just began!"
If you can get past the grammar and mechanics issues, you might notice that there are no hands-on exercises. There are explanatory chapters, and there are quizzes. It's all just words. No coding. No hands-on anything. The information is elementary and presented more like a college essay than a book. There's just nothing profound or instructional. You certainly don't learn Python or Machine Learning from this book, aside from some terminology that is spread out across 200 pages of double-spaced, extended kerned, giant fonts.
So in addition to the book not fulfilling its "Learn Python in a week and master it" promise, you find out AT THE END that this book is a supplement to 2 other books. It does say "Book 2," but typically book 2 refers to a second edition or the second book in a series of the same title. Nope. Book 1 and 3 have completely different titles.
The book didn't cost a fortune or anything, and I was only buying it as a refresher course to get back into programming. But I do feel like I was scammed. It was very badly done and should have gone through more editing and peer review before going public. At the very least, change the title so it's not so misleading.