Machine Learning in C++
Tech Engineering
5:01:48
Description
Master Machine Learning from scratch using C++17 without built-in functions.
What You'll Learn?
- Build the machine learning algorithms using modern C++17 from scratch!
- Get a deep intuition how ML works in C++ field without using Built-in methods
- Use the low-level features of Modern C++11/14/17 to supercharge your algorithms
- Build interesting applications using Modern C++11/14/17 and ML techniques
- Optimize your algorithms with advanced performance and memory usage profiling
- Program with one of the most powerful programming languages that exists today, C++
- Learn how to create CMake build system
Who is this for?
More details
DescriptionFor the discount:
Apply Coupon: DE7A7ECB039486240E96
Can you see how building ML in C++ will open up more career opportunities for you?
If more professional companies are using C++, it stands to reason that there is going to be more of a demand for C++ programmers.
If it is not based web app, the ones who use Python for their ML products partly fail. However, if you are working with hardware, C++ is a must! Because C++ is a compiled language that you can easily extract the binary files which the thing machine talks.
But the main reason companies should probably use C++ is because it is so powerful!
C++ is super fast and is a general-purpose programming language that supports both procedure and object-oriented programming making it very flexible.
It is readily scalable. It may also be portable.
C++ has numerous capabilities that other languages just lack.
This is the reason why C++ code can be interfaced with using almost any major language.
Given how many languages C++ has touched, if you are familiar with C++ you will probably notice C++-related features in new languages you learn.
Does this course focus on algorithms, or math, or what?!?!
Let's face this - the great majority of online ML courses use Python that is the interpreted programming language. They advise using pre-built algorithms rather performance-based ones. Although you could get rapid accomplishment as a result of this, in the long run it will hinder your capacity to comprehend ML structure using C++. Understanding the underlying algorithms is a prerequisite for comprehending how to use ML approaches.
That's the goal of this course - I want you to comprehend the precise math and programming methods utilized in the most popular ML algorithms as well as the C++ programming language. Once you possess this information, you may quickly learn new methods and create far more fascinating projects and apps than other engineers who are simply familiar with how to provide data to a magic library.
A short list of what you will learn to:
Advance memory profiling to improve the performance of your algorithms
Create applications using the robust current C++ STD libraries
Set up a CMake project
Create software that is compatible with Windows, Linux, and Mac OS X!
Use C++ to write clear, understandable ML code without employing single-name variables or perplexing functions.
Understand how to modify standard algorithms to match your own use cases
Study performance-boosting techniques that may be used with every C++ code type
Techniques for importing data and arranging using CMake
Discount Coupon: DE7A7ECB039486240E96
Who this course is for:
- C++ developers interested in Machine Learning
- The ones, who develops ML in Python, want to boost their career up with C++
- To advance their C++ knowledge implementing in Machine Learning
- Master students who work on AI
For the discount:
Apply Coupon: DE7A7ECB039486240E96
Can you see how building ML in C++ will open up more career opportunities for you?
If more professional companies are using C++, it stands to reason that there is going to be more of a demand for C++ programmers.
If it is not based web app, the ones who use Python for their ML products partly fail. However, if you are working with hardware, C++ is a must! Because C++ is a compiled language that you can easily extract the binary files which the thing machine talks.
But the main reason companies should probably use C++ is because it is so powerful!
C++ is super fast and is a general-purpose programming language that supports both procedure and object-oriented programming making it very flexible.
It is readily scalable. It may also be portable.
C++ has numerous capabilities that other languages just lack.
This is the reason why C++ code can be interfaced with using almost any major language.
Given how many languages C++ has touched, if you are familiar with C++ you will probably notice C++-related features in new languages you learn.
Does this course focus on algorithms, or math, or what?!?!
Let's face this - the great majority of online ML courses use Python that is the interpreted programming language. They advise using pre-built algorithms rather performance-based ones. Although you could get rapid accomplishment as a result of this, in the long run it will hinder your capacity to comprehend ML structure using C++. Understanding the underlying algorithms is a prerequisite for comprehending how to use ML approaches.
That's the goal of this course - I want you to comprehend the precise math and programming methods utilized in the most popular ML algorithms as well as the C++ programming language. Once you possess this information, you may quickly learn new methods and create far more fascinating projects and apps than other engineers who are simply familiar with how to provide data to a magic library.
A short list of what you will learn to:
Advance memory profiling to improve the performance of your algorithms
Create applications using the robust current C++ STD libraries
Set up a CMake project
Create software that is compatible with Windows, Linux, and Mac OS X!
Use C++ to write clear, understandable ML code without employing single-name variables or perplexing functions.
Understand how to modify standard algorithms to match your own use cases
Study performance-boosting techniques that may be used with every C++ code type
Techniques for importing data and arranging using CMake
Discount Coupon: DE7A7ECB039486240E96
Who this course is for:
- C++ developers interested in Machine Learning
- The ones, who develops ML in Python, want to boost their career up with C++
- To advance their C++ knowledge implementing in Machine Learning
- Master students who work on AI
User Reviews
Rating
Tech Engineering
Instructor's Courses
Udemy
View courses Udemy- language english
- Training sessions 39
- duration 5:01:48
- Release Date 2022/12/14
