Pragmatic Machine Learning with Python Full Book Free 2022
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Pragmatic Machine Learning with Python Full Book Free 2022
Machine Learning (Machine Learning):
Machine Learning (Machine Learning) or abbreviated (ML) in what is a sub-field within the wider field of artificial intelligence Artificial Intelligence, abbreviated as AI, has been important since not long ago, and because AI in general represents the technology of the future that the world is interested in as a tool of digital transformation that changes our world rapidly, specializing in this field and learning its fundamentals is great and provides a golden opportunity for an attractive and valuable career.
And even if you don't have extensive experience in math and programming, it doesn't stop you from going into Machine Learning and mastering it because the most important element of excellence in this field is your interest and determination in learning that is the motivation to absorb and learn all those things.
In this article we will provide you with a comprehensive guide for beginners that can by entering the scourge of machine learning and then deepening the field of artificial intelligence via Python programming language, which will help you to savor and navigate this science, good follow.
Why should Python be taught as a starting point for machine learning?
Reaching a stage where a person becomes a skilled programmer with high crypto capabilities undoubtedly requires mastering different programming languages and learning a lot of things in the field of plastering, encryption and programming in general.
But for Machine Learning and data science, it is very good to master at least one coding language and use it deservedly to be able to master this field and make a successful journey in it, and you don't have to be a programming genius. But it is also necessary to choose the appropriate coding language from the beginning, Because your choice will determine your future in this step, you should think strategically and arrange priorities correctly and do not spend time on unnecessary matters, For beginners, Python programming language is the perfect option that will help them advance in machine learning and data science.
Features of Python programming language
Python programming language is characterized by its ease and intuition. It is also characterized by being a narrow-bound language that reduces time and effort in encryption and coding work.
In addition, "Library Line", also called "Frameworks", for Python programming language, features full specifications that help you quickly graduate towards mastery and significantly reduces the time needed to get your first results.
Overview: First thing to know about Machine Learning:
First of all, it must be realized that machine learning is experience-based learning. Computers can be programmed by providing the information that is trained so that the machine learning program can gain experience based on experience and information is trained and thus acquires the ability to identify elements or their characteristics with great probability.
Among the first points you should know about the Machine Learning field is that this area includes different stages that can be arranged as follows:
• Data collection
• Data sorting
• Data analysis
• Algorithm development
• Examine the algorithm generated
• Use the algorithm for further conclusions
different algorithms are used for machine learning:
To search for different patterns, different algorithms are used for machine learning, where they can be divided into two parts (two groups):
Unsupervised Learning
Supervised Learning
Unsupervised Learning
Through which the device receives a set of input data Only (input data), hence the device is left to determine the relationship between input data and any other hypothetical data, unlike supervised learning where the machine is provided with some verification data for learning. Unchecked independent learning means that the computer itself will find patterns and relationships between different datasets.
Supervised Learning
Supervised learning includes the computer's ability to identify elements based on the samples provided as the computer studies them and develops the ability to identify new data based on those samples
For example, you can train a computer to filter spam messages based on previously received information
And in general, a person who works in artificial intelligence has to Artificial Intelligence, Machine Learning and Data Science (Data Science) Mastering the lower level of math skills required by Python programming language, yes, it doesn't require every interested person or worker in this field to be in-depth and have postgraduate degrees in mathematics, but he can take some lessons to understand and learn Python's advanced subjects for mathematics and statistics faster
A person interested in or working in the field of "machine learning" can learn the math needed for analysis and machine learning in three main axes:
• Linear algebra
Such as numerical learning (Scalars), vectors, matrices (Matrix) and tensors.
Because machine learning often works with high-dimensional data (multi-variable data), studying the field of machine learning requires a lot of work knowledge on matrices (Matrix).
• Mathematical Analysis
including derivatives and gradients
Mathematical analysis is important in the field of machine learning especially in the problems of improvement
• Gradient descent
Which helps build a simple neural network from scratch in Python because one of the best ways to learn mathematics in analysis and machine learning is to build a simple neural network from scratch in Python where linear algebra is used to represent the network and mathematical analysis to improve it
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