PDF Download Machine Learning for Absolute Beginners: A Plain English Introduction, by Oliver Theobald
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Machine Learning for Absolute Beginners: A Plain English Introduction, by Oliver Theobald
PDF Download Machine Learning for Absolute Beginners: A Plain English Introduction, by Oliver Theobald
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Please note the second edition of this title with updated content is now available on Amazon. Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile? Well, hold on there... Before you embark on your epic journey into the world of machine learning, there is basic theory to march through first. But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book offers a practical and high-level introduction to machine learning. Machine Learning for Absolute Beginners has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home. This title opens with a general introduction to machine learning from a macro level. The second half of the book is more practical and dives into introducing specific algorithms applied in machine learning, including their pros and cons. At the end of the book, I share insights and advice on further learning and careers in this space. Disclaimer: If you have passed the 'beginner' stage in your study of machine learning and are ready to tackle deep learning and Scikit-learn, you would be well served with a long-format textbook. If, however, you are yet to reach that Lion King moment - as a fully grown Simba looking over the Pride Lands of Africa - then this is the book to gently hoist you up and offer you a clear lay of the land. In this step-by-step guide you will learn:- The very basics of Machine Learning that all beginners need to master - Association Analysis used in the retail and E-commerce space - Recommender Systems as you've seen online, including Amazon - Decision Trees for visually mapping and classifying decision processes - Regression Analysis to create trend lines and predict trends - Data Reduction and Principle Component Analysis to cut through the noise - k-means and k-nearest Neighbor (k-nn) Clustering to discover new data groupings - Introduction to Deep Learning/Neural Networks - Bias/Variance to optimize your machine learning model - How to build your first machine learning model to predict video game sales using Python - Careers in the field Please also note that under Amazon’s Matchbook program, the purchaser of this book can add the Kindle version of this title (valued at $3.99 USD) to their Amazon Kindle library at no cost.
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Product details
Paperback: 167 pages
Publisher: Independently published (April 3, 2017)
Language: English
ISBN-10: 152095140X
ISBN-13: 978-1520951409
Product Dimensions:
6 x 0.4 x 9 inches
Shipping Weight: 10.6 ounces (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
70 customer reviews
Amazon Best Sellers Rank:
#407,576 in Books (See Top 100 in Books)
The book is short and moves along fairly well. What do you get? The author gives an overview of data science that distinguishes machine learning from data mining, artificial intelligence, etc. I found this useful. He gives specific examples of how machine learning is implemented in marketing and elsewhere. Different types of algorithms, some supported by humans and some not, do the machine learning or data mining or other data science. The author does not go into great depth on these algorithms, which is consistent with his goal of providing an overview for beginners.The book has some math. Once again, I think this is included to alert a beginner that understanding and working with math is mandatory to work in this field. The author lists job titles and salary ranges for jobs in the data science/machine learning fields.If you or someone you know think that data science may be a career in which you would be interested, I recommend the book.
Excellent introduction to ML and easy to read in just a couple hours or so. No math or stats or system knowledge required for this level of awareness.
Great book! Very convenient when one would like to refresh or to get a basic understanding of some major statistical concepts.
Good easy super intro read
I purchased two introductory e-books on Machine Learning. One cost me $20 and this one cost me $3. The $20 book had 399 pages but I got so completely lost before hitting page 100 that I gave up in defeat. (My iPad Kindle app doesn’t have page numbers, so I can’t tell you exactly what page I was on but it seemed like I had been reading forever).Then I found this $3 book – Machine Learning for Absolute Beginners – was not only short but it came out as the clear winner because I was able to get through right to the end of it with ease and without confusion. So turns out I got more than my money’s worth here with this book!And on top of that, this book was clear, well-written and a definite confidence builder. The knowledge I’ve gained from this book regarding ML models and basic algorithms gives me more confidence to go back to the other more expensive book for a second attempt.In summary, if this is your first foray into Machine Learning then this here is your book! It is the perfect stepping stone to other more lengthy options.
light on information...
The core ideas and functions well explained. A book to read first and then digging into specialization. Helps to grasp the essentials and to have a base for the next level
This is a fantastic book for the absolute beginner. Although extremely elementary in content, it is very useful for someone with no background
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