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587 Courses

California Institute of Technology Udemy

PyTorch ile Derin Öğrenme

PyTorch ile Derin Öğrenme | Udemy Kursu Udemy'de PyTorch kütüphanesi ile Derin Öğrenme projeleri oluşturmayı öğrenin. Bu kurs, Python, Makine Öğrenimi, Derin Öğrenme, NumPy ve pandas konularını kapsar, böylece kapsamlı bir öğrenme deneyimi sunar.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand
California Institute of Technology

Deep Learning A-Z™| Python ile Derin Öğrenme

Deep Learning A-Z™ | Python ile Derin Öğrenme Yapay Zeka hakkında hiç bilginiz olmasa dahi Python ile Deep Learning yöntemlerini uygulamalarla sıfırdan öğreniyoruz! Python Courses Deep Learning Courses TensorFlow Courses Keras Courses
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California Institute of Technology

Python:Corona Virüs Veri Analizi ile Yapay Zeka için Python

Python: Corona Virüs Veri Analizi ile Yapay Zeka için Python Python ve programlamanın mantığını anlayarak yapay zeka dünyasına adım atın. Bu kurs ile Corona Virüsü analiz ederek verileri görselleştirebileceksiniz. Kategoriler: Artificial Intelligence Courses Python Courses Matplotlib Courses NumPy Courses pandas Courses Data Visua.
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California Institute of Technology Udemy

Python, Guía de inicio

Python, Guía de inicio | Udemy Domina los fundamentos de Python con nuestro curso "Python, Guía de inicio" en Udemy. Este curso es ideal para quienes desean crear aplicaciones en diversos campos como: Ciencia de datos Inteligencia Artificial (IA) Robótica Desarrollo web BigData Explora cómo Python puede convertirse en tu herramienta.
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provider Udemy
pricing Free Online Course
duration 1 hour 57 minutes
sessions On-Demand
California Institute of Technology Coursera

Interpretable Machine Learning Applications: Part 4

Interpretable Machine Learning Applications: Part 4 Join this 1-hour guided project to explore the 'What-If' Tool (WIT) in the context of training and testing machine learning prediction models. You'll gain hands-on experience in: Setting up a machine learning application using Python in an interactive notebook on Google's Colaboratory envir.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology

Data Science - Master Analytics and become Data Scientist

Title: Data Science - Master Analytics and Become a Data Scientist Description: Learn Python, RLang, Neural Networks, ANN, Deep Learning - Tools, software like KNIME, Spark, SciPy, Tableau, and others. University:  Provider:  Categories: Python Courses, Deep Learning Courses, Neural Networks Courses, Data Science Courses, SciPy Courses, K.
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California Institute of Technology

Time Series Analysis and Forecasting using Python

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California Institute of Technology edX

Developing Generative AI Applications with Python

Developing Generative AI Applications with Python Generative AI modeling is an in-demand skill for AI model development. Employers now expect generative AI skills to be on an AI engineer’s resume. This hands-on course, which is also part of the IBM AI Applied Professional Certificate, will help you build the generative AI skills you need to stan.
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California Institute of Technology Udemy

Video Analytics using OpenCV and Python Shells

Video Analytics using OpenCV and Python Shells | Udemy Welcome to the Video Analytics using OpenCV and Python Shells training course offered by Udemy. In this course, you will gain a thorough understanding of video analytics using OpenCV. Perfect for those looking to enhance their skills in Python and OpenCV, this training will equip you with t.
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California Institute of Technology Pluralsight

AI Language Models and Foundation Models

AI Language Models and Foundation Models Discover the foundation of AI language models as you delve into BERT, GPT, and T5, understanding their applications and learning to fine-tune these models yourself. This course will equip you with the skills needed to harness foundation models for solving real-world language processing problems efficient.
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Your speed of mastering the profession and success in this matter largely depends on which programming language you start learning first. How to choose it? Let's answer using a python ai course as an example.

What criteria should you use to choose your first language?

For learning to progress quickly, the programming language must have a simple syntax. It is desirable that it be high-level and flexible - then you can experiment with different options for solving the same problem.

Of course, it cannot be said that the choice of the first language always determines how successful the student’s future career path will be. But it can have a powerful impact on professional development as well as self-learning skills.

Even if we talk about spoken languages, you’ve probably heard the statement that the language a person speaks determines his thinking: “the number of languages you know, the number of times you are human.” This statement is also relevant for programming. Note that this skill is often described as an effective tool for developing thinking that teaches people to solve problems well.

When choosing the first language, the following criteria are also taken into account:

It’s difficult to name an ideal programming language to learn as a first language, but Python definitely meets most of the listed criteria, which means it can be safely recommended to beginners.

Scope of Python

Scripting languages are rapidly gaining popularity these days. They are already used to write software even more often than traditional system ones. Python is compatible with all major operating systems and platforms. You will learn this information at a python course. It is actively used in science, web development, Machine Learning, game creation, complex visual effects, and more.

Community, technical documentation

The Python language has gathered a large community of developers from all over the world who are engaged not only in its study, but also in its development. The documentation base related to Python is extensive and well-developed, so even a beginner will not have much difficulty finding answers to almost all questions that arise. He also has enough standard libraries for all occasions, and there are even more open-source repositories.

Simplicity

Because Python has a simple syntax, its code is easy to read and understand. Statements are terminated by the end of the line, and the block structure is determined by indentation.

Among the features of Python, it is worth highlighting the use of indentations that delimit blocks of code. Correct formatting is ensured by the interpreter, which prevents the creation of unreadable code. So if in other programming languages indentation is a “handwriting” and an art, then in Python it is one of the components of the syntax.

Python Strengths and Weaknesses

We have already noted above some of the advantages of a python certification course, now we propose to compare them with the disadvantages in order to objectively evaluate the language as the first one to learn.

Pluses

  1. Easy to learn.

  2. Laconic.

  3. Easy and understandable syntax.

  4. Interpretability.

  5. Wide scope of use.

  6. Demand.

  7. Dynamic typing.

  8. A large number of libraries.

  9. Lots of technical documentation and training materials.

  10. Cross-platform.

Minuses

  1. Slow program execution speed: Because dynamically typed languages execute code line by line, this makes it difficult to develop software that requires high performance. However, the programmer's productivity increases, which can be considered a kind of compensation.

  2. Programs written in Python require a lot of memory.

  3. Because there is no check during compilation, errors sometimes occur when executing the code. Because of this, very high-quality testing is required before production launch.

Conclusion

Python is a clear, easy-to-learn, universal, in-demand and promising language. Despite the presence of certain disadvantages, its advantages significantly outweigh all the disadvantages, especially when it comes to novice programmers. That's why a python online course from AI Eeducation is a great choice to start your IT career!