Join

Machine Learning courses

1003 Courses

California Institute of Technology Coursera

GenAI for Data Scientists

GenAI for Data Scientists GenAI for Data Scientists is tailored for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course simplifies the complex realm of GenAI, illustrating its remarkable impact on data analysis, predictive modeling, and more. You will gain a thorough understanding o.
course image
California Institute of Technology Waseda University

Deep Learning for Bioscientists

Elevate your research with deep learning Deep learning, a popular branch of machine learning, enables computers to process data like the human brain, using similar approaches to how we believe our brains process information, to help with solving complex problems and generating highly accurate insights. On this five-week course, you’ll develop esse.
course image
California Institute of Technology LinkedIn Learning

Alteryx for Financial Services

Alteryx for Financial Services Unlock the power of Alteryx in the financial services sector with our comprehensive course. Designed for professionals seeking to leverage no-code/low-code data analysis software, this course provides an in-depth overview of Alteryx's capabilities. Provider: LinkedIn Learning Categories: Machine Learning Cours.
course image
California Institute of Technology LinkedIn Learning

Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications

Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications Course Title: Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications Description: Learn the basics of leveraging Microsoft Azure for AI-based applications, including key tools and the processes for using them correctly. Provider: LinkedIn Learning Catego.
course image
California Institute of Technology Udemy

【ChatGPT解説付き】【現役AIコンサルが教える】1時間半で「AIの活かし方の基本」が学べる速修コース（文系対応型）

【ChatGPT解説付き】【現役AIコンサルが教える】1時間半で「AIの活かし方の基本」が学べる速修コース（文系対応型） 現役のAIコンサルとして大手企業の案件もこなしてきた講師が、AI初心者のためにAIの基礎知識を１時間にまとめました。AIの基本を理解することで、どこまでをAIに頼るべきか、どう活かすべきかの道筋が短時間で身に付きます。 University: Udemy.
course image
California Institute of Technology Coursera

Responsible AI: Privacy & Safety - Português

Responsible AI: Privacy & Safety - Português Este curso apresenta tópicos importantes sobre privacidade e segurança da IA. Ele também aborda recursos e métodos úteis para implementar práticas recomendadas de privacidade e segurança da IA com o uso de produtos do Google Cloud e ferramentas de código aberto. University: Provider: Coursera Categor.
course image
California Institute of Technology Coursera

Responsible AI for Developers: Privacy & Safety - Polski

Responsible AI for Developers: Privacy & Safety - Polski To szkolenie wprowadza w ważne kwestie dotyczące prywatności i bezpieczeństwa w dziedzinie AI. W jego trakcie przedstawiamy praktyczne techniki i narzędzia, które umożliwiają wdrożenie sprawdzonych metod w zakresie prywatności i bezpieczeństwa AI przy użyciu usług Google.
course image
California Institute of Technology Coursera

Responsible AI for Developers: Privacy & Safety - 简体中文

course image
California Institute of Technology Coursera

Smart Analytics, Machine Learning, and AI on GCP - Italiano

Smart Analytics, Machine Learning, and AI on GCP - Italiano Integrare il machine learning nelle pipeline di dati aumenta significativamente la capacità di estrarre insight preziosi dai dati. Questo corso esplora vari metodi per includere il machine learning nelle pipeline di dati su Google Cloud. Per una personalizzazione minima o nulla, il co.
course image
California Institute of Technology Coursera

Smart Analytics, Machine Learning and AI on GC - 한국어

Smart Analytics, Machine Learning and AI on GC - 한국어 머신러닝을 데이터 파이프라인에 통합하면 데이터에서 더 많은 인사이트를 도출할 수 있습니다. 이 과정에서는 머신러닝을 Google Cloud의 데이터 파이프라인에 포함하는 방법을 알아봅니다. 맞춤설정이 거의 또는 전혀 필요 없는 경우에 적합한 AutoML에 대해 알아보고 맞춤형 머신러닝 기능이 필요한 경우를 위.
course image

More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!