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Machine Learning Simplified: A Gentle Introduction to Supervised Learning
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The underlying goal of "Machine Learning Simplified" is to develop strong intuition into inner workings of ML. We use simple intuitive examples to explain complex concepts, algorithms or methods, as well as democratize all mathematics "behind the scenes".
After reading this book, you will understand everything that comes into the scope of supervised ML. You will be able to not only understand nitty-gritty details of mathematics, but also explain to anyone how things work on a high level.
The underlying goal of "Machine Learning Simplified" is to develop strong intuition into inner workings of ML. We use simple intuitive examples to explain complex concepts, algorithms or methods, as well as democratize all mathematics "behind the scenes".
After reading this book, you will understand everything that comes into the scope of supervised ML. You will be able to not only understand nitty-gritty details of mathematics, but also explain to anyone how things work on a high level.
109 pages, ebook
Published January 1, 2022
19 people are currently reading
263 people want to read
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Displaying 1 - 30 of 110 reviews
April 23, 2022
As a machine learning tutor myself, I find this book helpful for beginners, it offers a good compromise between the theory and hands-on practice with code and implementations. That's also what mlcourse.ai aimed at, and if I were to write a book on Machine Learning, it'd have been something similar to this one. I also enjoy the option to highlight and comment on the book content, this makes it almost a forum supporting readers. On the downside, the book mostly describes concepts and algorithms and provides only toy examples to play around with. I'd love to see some real-world practical applications described as well. For example, speaking about KNN, it's nice to not only provide the intuition with oranges, apples, and lemons but also to mention that its variation Approximate Nearest Neighbor search is used in many day-to-day applications: images search, text search systems, look-a-like models for finding similar customers, etc. Or at least I'd suggest providing examples with datasets that are a bit closer to those really used in industry, e.g. with Kaggle datasets. I know it's much to ask but having examples of some real-world applications of ML would render this book unique.
April 18, 2022
What was nice about this book was the fact that everything is straightforward and separated into several sections such as Model Learning, Model Selection and Data Preparation to name a few. What I found specifically helpful was being able to see example datasets as well as the diagrams. The concept of supervised machine learning is a fascinating subject that is very difficult to comprehend when jumping in right away. So being able to use this to properly learn and appreciate the fundamentals of this topic, was super helpful for me. I found this to be a pretty easy to read textbook as it doesn’t go straight into technical terms and allows for anyone to be able to read and comprehend what is being told. It can be hard and frustrating to learn about machine learning with so much technical jargon so this is truly a life saver. I think this is the perfect textbook for anyone trying to get their foot into this field.
June 11, 2022
A great introduction to ML.
The Machine Learning Simplified by Andrew Wolf is a good introduction about the Artificial Intelligence and workings of Machine Learning. The author explains complex concepts, algorithms and methods through useful examples and a simple language so everybody can understand it.
It is a very valuable piece. Surely, if you are a geek, this book is not enough for you; but if you are not, like me, it is very helpful. I am happy to have found it. In my opinion, it is necessary to know about these matters but sometimes learning them is a really difficult task. The author managed to give important information in simple words.
It has no waste. The chapters are concise and well arranged. I recommend it!
The Machine Learning Simplified by Andrew Wolf is a good introduction about the Artificial Intelligence and workings of Machine Learning. The author explains complex concepts, algorithms and methods through useful examples and a simple language so everybody can understand it.
It is a very valuable piece. Surely, if you are a geek, this book is not enough for you; but if you are not, like me, it is very helpful. I am happy to have found it. In my opinion, it is necessary to know about these matters but sometimes learning them is a really difficult task. The author managed to give important information in simple words.
It has no waste. The chapters are concise and well arranged. I recommend it!
May 29, 2022
This book was nothing like what I expected when I read the title. In fact coming across this book was for me, one of those "happy accidents" and I was already 3 hours into my 9 hour flight when I realized that the book wasn't a light learning book at all.. But having paid the 2.99 for it already, with plenty of time on my hands, I went ahead and flipped thru the pages. If you are looking to understand how A.I.s works or the process of machine learning at all, this is the book for you. I haven't been able to put it down, machine learning is so fascinating and a little more than a little scary when you understand how it all works........I definitely enjoyed the read, and would recommend it to anyone interested in machine learning.
February 16, 2022
Here’s what I love about the book - focus on the intuition, didn’t cram up the book with python code. Although I know that the coding part is also important, engineers often feel overwhelmed when a lot of code and math is crammed in. Love that you’ve provided GitHub QR codes instead for python code from scratch.
May 5, 2022
Having been an amateur, in machine learning due to less exposure, I could never achieve the excellence I always dreamed of. Then, I found this book, and everything changed since then. This book explains the most complex concepts behind machine learning with ease. I faced no problem in grasping any concept or any insight given in the book. I love how the author has given considerable attention to the language so that even beginners can take full advantage of the information provided in the book.
Not only the concepts but the underlying mathematics which goes into machine learning is very well explained. This book not only improved my knowledge of machine learning but also gave me the confidence to share my knowledge and skill with others.
Not only the concepts but the underlying mathematics which goes into machine learning is very well explained. This book not only improved my knowledge of machine learning but also gave me the confidence to share my knowledge and skill with others.
May 7, 2022
Slates. Pencil. Days of kids doing math in their heads. Times have changed. In today’s world, learning comes in a different form. To some this may be more difficult than the mind, but some are using machines to learn and find stats for a variety of ideas. The book Machine Learning Simplified gives readers an explanation of this technology through a simplified lens! Even though the title has the word simplified in the title, and you may skim the book, you might still be confused. However, the format of the book At first it may sound complicated but the idea of this text is to show the reader the simplicity of it. The author begins to tackle the idea through an overview of the definition. Then the work continues by breaking down the idea through different ideas within the realm of machine learning. Though this may not be something I would be reading everyday, you can find interest in a new way of learning!!
May 25, 2022
Machine Learning Simplified by Andrew Wolf is a supervised learning guide for Machine Learning. It is an introductory digest encompassing all important details and the working framework of ML. With advanced algorithms and the basics of mathematics, the readers will be able to grasp a deeper knowledge of ML and other related topics. The chapter-wise segregation of the topic makes it easier to comprehend and explain the underlying approach. After giving it a read, professionals would be able to present their knowledge about this discipline in a much enhanced and fruitful manner. It is easygoing and keeps you in the loop with the entire functioning and demographics of Machine Learning. One-stop manual to gather insights and bag some expertise on the go!
April 22, 2022
Andrew Wolf makes machine learning easy to understand. I’m a little bit of a techy so I’m glad to finally understand the difference between machine learning and data science. Specifically, supervised machine learning is used to make predictions about unknown quantities based on quantities that we do know. This can be used to solve numerous problems. Put another way, we can use machine learning to learn to do a certain task using data. It is through these predictions that real world issues can be solved, such as whether or not a credit card transaction is fraudulent. I have learned so much from Andrew Wolf, this book is a great asset.
June 29, 2022
The organisation of the book, which includes sections on Model Learning, Model Selection, and Data Preparation, among others, made it easy to understand. The ability to view example datasets in addition to the diagrams was something I found to be quite useful. The idea of supervised machine learning is an intriguing one, but it can be very challenging to understand when you dive right in. So it was really helpful for me to be able to use this to properly understand and grasp the principles of this subject. It doesn't jump right into technical jargon and allows everyone to read and understand what is being said.
December 13, 2022
The Machine Learning Simplified: A Gentle Introduction to Supervised Learning by Andrew Wolf is an educational read for those like me who have no knowledge of the mathematics of engineering, nor how technology at its basic level works.
Wolf is obviously passionate about this topic from his tone, and I think he uses very clear explanations and examples to make this a truly “gentle introduction”. I've never really understood machine learning enough to guess what advances this science could make, but it was interesting to think about throughout.
Although the book ends in some more advanced topics, Wolf starts from the beginning, at definitions, and lays foundations for learning well.
Wolf is obviously passionate about this topic from his tone, and I think he uses very clear explanations and examples to make this a truly “gentle introduction”. I've never really understood machine learning enough to guess what advances this science could make, but it was interesting to think about throughout.
Although the book ends in some more advanced topics, Wolf starts from the beginning, at definitions, and lays foundations for learning well.
May 29, 2022
The underlying goal of "Machine Learning Simplified" is to develop strong intuition into inner workings of ML. We use simple intuitive examples to explain complex concepts, algorithms or methods, as well as democratize all mathematics "behind the scenes".
After reading this book, you will understand everything that comes into the scope of supervised ML. You will be able to not only understand nitty-gritty details of mathematics, but also explain to anyone how things work on a high level. Less
After reading this book, you will understand everything that comes into the scope of supervised ML. You will be able to not only understand nitty-gritty details of mathematics, but also explain to anyone how things work on a high level. Less
June 16, 2022
The title Machine learning simplified truly lived up to its name. The book was supper easy to read. If someone is trying to start learning about machine learning for the first time I would highly recommend this book to them. A next advantage is the existence of different subsections. These subsections made it easier to navigate the book. If you want to find out something specific then you can easily do that. Furthermore the examples and diagrams were really helpful.
May 16, 2022
Machine Learning Simplified is for those who are interested in learning more about Artificial Intelligence (AI) and coding. This book is set up like a textbook, provides diagrams and examples for the reader. The book is a good start for someone who is interested in learning more about how AI works with the world we are in today. While you are in each chapter, the book starts to provide a QR code for the reader to view step by step coding in Python.
May 1, 2022
In this world of increasing influence of artificial intelligence (AI), teaching computers how to learn is increasingly important. This book attempts a gentle introduction to the subject
The first thing to consider is the quality of your data. Is it in the right standard of measurement (for instance, centimeters vs. inches)? Are there any outliers or other extraneous bits of data that can be deleted? Once the data is "squeaky clean," what sort of model will the data go into? Will usable data come out the other end? After the data comes out, evaluate it and make sure that it is usable. If the answer is No, consider changing the model, and repeat.
This is where calculus starts to rear its ugly head. The author then gets into gradient descent algorithms, basis expansion, choosing regularization strength, bias-variance decomposition and leave-one-out cross validation.
This book works really well as an introduction to machine learning. It also works as a refresher course for those who already in the field. Yes, it's worth reading, even if you take it just one chapter at a time.
The first thing to consider is the quality of your data. Is it in the right standard of measurement (for instance, centimeters vs. inches)? Are there any outliers or other extraneous bits of data that can be deleted? Once the data is "squeaky clean," what sort of model will the data go into? Will usable data come out the other end? After the data comes out, evaluate it and make sure that it is usable. If the answer is No, consider changing the model, and repeat.
This is where calculus starts to rear its ugly head. The author then gets into gradient descent algorithms, basis expansion, choosing regularization strength, bias-variance decomposition and leave-one-out cross validation.
This book works really well as an introduction to machine learning. It also works as a refresher course for those who already in the field. Yes, it's worth reading, even if you take it just one chapter at a time.
May 28, 2022
I am a complete novice when it comes to ML. I struggle with understanding the concepts and how it works. I NEEDED a book like this to help me make sense of what I was failing to understand. As a newbie on the topic I can verify that this book is a HUGE help and well worth taking the time to go through. I now have a better understanding of ML and how it works. I appreciated the approach taken by the author in teaching each concept. The inclusion of diagrams and QR codes with examples was very much appreciated, as I am a visual learner and need to see things to truly understand it before I attempt to do things on my own. The writing was well done with no grammatical mistakes or errors to distract me from the subject matter, and I truly found myself LEARNING as I went through each chapter. I had to take it slow and had to really study it, reading it again and again, looking at examples and diagrams, and experimenting on my own, but I was successful and actually got it. Well done and very much worth going through, whether newbie like myself or someone with more knowledge and understanding.
June 6, 2022
Machine learning is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention. It is like giving the machines the human brain. In the developing world, machine learning is one of the fastest growing concept. But often one struggles with the fundamentals and what exactly is machine learning.
As the title speaks, this book will definitely make one’s approach towards machine learning simplified. The basic goal of this book is to develop strong intuition for Machine learning. Wolf has beautifully compiled the basics in two parts- further subdivided into 7 and 9 chapters respectively. The author has written in a very sensible way- in an easy-to-understand language. The chapters are well structured, and the writing style is pretty good. The book is no doubt a gentle introduction to supervised learning.
As the title speaks, this book will definitely make one’s approach towards machine learning simplified. The basic goal of this book is to develop strong intuition for Machine learning. Wolf has beautifully compiled the basics in two parts- further subdivided into 7 and 9 chapters respectively. The author has written in a very sensible way- in an easy-to-understand language. The chapters are well structured, and the writing style is pretty good. The book is no doubt a gentle introduction to supervised learning.
May 12, 2022
Andrew Wolf has very well narrated all prospectives of machine learning. Those learners who are enthusiastically waiting to learn much more precisely about the technical, as well as research-based information about machine learning definitely, will be a treasure for them.
Thriving in this digital world being technically adept is something crucial for invoking dazzling results in any industry in which you are working. This informative guide very well supported me to add on technical innovation to the legal industry in which I am working on. Despite some complicated technical terms which being completely strange for those ordinary readers made the reading a little hard. As a whole, this book is a perfectly designed capsule of knowledge for those ardent learners. I highly recommend reading this book to all who want an innovative read.
Thriving in this digital world being technically adept is something crucial for invoking dazzling results in any industry in which you are working. This informative guide very well supported me to add on technical innovation to the legal industry in which I am working on. Despite some complicated technical terms which being completely strange for those ordinary readers made the reading a little hard. As a whole, this book is a perfectly designed capsule of knowledge for those ardent learners. I highly recommend reading this book to all who want an innovative read.
April 18, 2022
Andrew Wolf's Machine Learning Simplified is a supervised learning guide for Machine Learning. It's an introductory summary that covers all of the essential aspects and ML's functioning structure. The readers will be able to obtain a deeper understanding of ML and other related topics by using complex algorithms and basic mathematics. The material is divided into chapters, making it easier to understand and explain the underlying approach. Professionals will be able to exhibit their knowledge of this discipline in a much more enriched and fruitful manner after reading it. It's laid-back and keeps you up to date on Machine Learning's overall operation and demography. One-stop-shop for gaining insights and picking up some knowledge on the go!
April 24, 2022
Going into this I was unsure of what Machine Learning was referring to, I thought it was AI, or a set of algorithms, or just something else entirely. This book focuses on a specific subset of machine learning known as Supervised Machine Learning.
Setup like a textbook, there are diagrams to help explain the formulas and various topics that are being discussed. It starts with basic explanation of what machine learning is, gets into data acquisition, then the prep and model building off that data. Its a hard read to casually get into, some of the topics and formulas get quite complex, but the author really makes a point to ensure that its easily understood and well explained. If you have a passion or a desire to really start to learn then I haven't seen a better source.
Setup like a textbook, there are diagrams to help explain the formulas and various topics that are being discussed. It starts with basic explanation of what machine learning is, gets into data acquisition, then the prep and model building off that data. Its a hard read to casually get into, some of the topics and formulas get quite complex, but the author really makes a point to ensure that its easily understood and well explained. If you have a passion or a desire to really start to learn then I haven't seen a better source.
June 10, 2022
As the title suggests, Machine Learning (ML) Simplified actually explains and ‘simplifies’ concepts and terminology which would otherwise be difficult to grasp if this book wasn’t out there on the market. After reading this book, everything that comes into the scope of supervised ML will be easier to understand.
It goes without saying that this book is entirely built for educational purposes with the plus that it is not long or tedious. Both the fundamentals and the nitty-gritty details are posed here in simple words. Besides, the figures used to back up the information help readers follow the pages and visualize what author Wolf actually means. I wish more books of this type existed when I was a student!
It goes without saying that this book is entirely built for educational purposes with the plus that it is not long or tedious. Both the fundamentals and the nitty-gritty details are posed here in simple words. Besides, the figures used to back up the information help readers follow the pages and visualize what author Wolf actually means. I wish more books of this type existed when I was a student!
April 28, 2022
Andrew Wolf's book has become an interesting piece because it strips down one knowledge to a new and simplified way when starting to work with conputer softwares. I would reccomend readers to dive into the book if they are interested in learning or reinforcing their technical skills while working with codes. It is extremely important to read and absorb what Wolf says, and avoid your bias' buecause that way the book can help you learn something. If you are close minded and already advanced in data management, I believe this book will certainly help you compare your progress more than it will provide you with help.
July 29, 2022
So I got this book on one of my library apps and I read it from there. This book mainly talks about Machine Learning and how it is accessible to readers who are either technical or not, but it also contains enough mathematical details to serve in an away of an introduction to machine learning for a technical reader.
It does say you should have some prior knowledge of mathematics, statistics, and Python programming language. He goes on and says that this is recommended to get the most out of this book. This book is discussed in two parts fundamentals of learning machine learning supervised and more advanced learning of machine learning algorithms.
It does say you should have some prior knowledge of mathematics, statistics, and Python programming language. He goes on and says that this is recommended to get the most out of this book. This book is discussed in two parts fundamentals of learning machine learning supervised and more advanced learning of machine learning algorithms.
April 25, 2022
A great book for beginners! Andrew Wolf breaks down the most complex processes into simple to follow steps, allowing even novice beginners to gain invaluable insights. By the time you finish this book you will have a thorough introduction to the world of mechanics, algorithms, and industry standard processes.
May 22, 2022
I must say that this is not my field of work or even study. But it's such a comprehensive text, that after reading the Introduction, (that explained the difference between machine learning and supervised machine learning) I was engaged.
In my opinion and what I could extract from what Ive learned, this book is a great source to understand how data is structured , customized and managed for different purposes
In my opinion and what I could extract from what Ive learned, this book is a great source to understand how data is structured , customized and managed for different purposes
May 29, 2022
One of the really good books I have read on Machine Learning especially for someone who is just starting to get into ML. Its more like a textbook read so the figures and formulas and everything is not a difficult read to follow. Concepts are explained pretty well overall and its easy to keep up with as well! Recommend it for someone just starting out with ML!
May 31, 2022
This was a good read. The author did a great job explaining his lessons in a simplified way where it is very understandable. The information conveyed kept me engaged making the learning material easy to digest. Of gone over the material a few times I think this a must read for anyone that is interested in the subject.
June 5, 2022
Learned a lot from this book and it covered all of the important topics of machine learning and its technicalities. I definitely gained a deeper understanding of machine learning and other related topics. Complex algorithms were explained well. I also liked that there is research based content presented as well.
July 25, 2022
The Machine Learning Simplified by Andrew Wolf is information was great , so easy to understand how to use all the basics.
Such great instructions about artificial intelligence and how to learn & work machines
It's divided into chapters for you to easily understand the underlying approach. I have learned so much by reading this book. Much recommended.
Such great instructions about artificial intelligence and how to learn & work machines
It's divided into chapters for you to easily understand the underlying approach. I have learned so much by reading this book. Much recommended.
November 9, 2022
This opens up with so much information, yet it is not overwhelming to the reader. The helpful diagrams and charts break up the flow and allow the reader really dig in on this immense topic. This may be readily common in the future, as things change rapidly. It's interesting to think of this all playing out.
Displaying 1 - 30 of 110 reviews