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Machine Learning courses

1795 Courses

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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (Tiếng Việt)

Trong khóa học này, bạn sẽ khám phá các trường hợp sử dụng trí tuệ nhân tạo (AI), máy học (ML) và trí tuệ nhân tạo tạo sinh (AI tạo sinh) trong thực tế ở nhiều ngành khác nhau. Các lĩnh vực này bao gồm y tế, tài chính, tiếp thị, giải trí, v.v. Bạn cũng sẽ tìm hiểu về khả năng và hạn chế của AI, ML và AI tạo sinh, các kỹ thuật lựa chọn mô hình và.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Tiếng Việt)

Phát Triển Giải Pháp Trí Tuệ Nhân Tạo Tạo Sinh (Tiếng Việt) - AWS Skill Builder Trong khóa học này, bạn sẽ khám phá vòng đời của ứng dụng trí tuệ nhân tạo tạo sinh (AI tạo sinh), bao gồm: Xác định trường hợp sử dụng trong kinh doanh Chọn mô hình nền tảng (FM) Cải thiện hiệu suất của FM Đánh giá hiệu suất của FM Triển khai và tác động.
provider AWS Skill Builder
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California Institute of Technology CodeSignal

Implementing AI Algorithms from Scratch

Implementing AI Algorithms from Scratch: Master AI with CodeSignal Dive deep into the intricate universe of Artificial Intelligence with our specialized course designed to provide you a comprehensive understanding of classic machine learning algorithms. Taught by CodeSignal, this course will guide you through the process of imp.
provider CodeSignal
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California Institute of Technology Pluralsight

Optimize UX with AI-powered Analytics

Unlock the potential of artificial intelligence to enhance user experience with the course "Optimize UX with AI-powered Analytics." Specifically crafted for experienced product managers and designers, this course delves into the integration of AI insights within your existing workflows to draw out valuable insights often hidden in expansive dat.
provider Pluralsight
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California Institute of Technology Pluralsight

Model Evaluation with Amazon SageMaker

Model Evaluation with Amazon SageMaker Machine learning models play a critical role in AI solutions, requiring them to be highly performant and capable of generalizing new data. Evaluating these models is essential to ensure their effectiveness. This comprehensive course offers in-depth knowledge on assessing machine learning models utilizing Amazo.
provider Pluralsight
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California Institute of Technology Pluralsight

Data Show and Tell: Exploring Trends in AI Research

Discover invaluable insights into AI research with our course, "Data Show and Tell: Exploring Trends in AI Research." Delve into a unique project that harnesses the power of natural language processing (NLP) to reveal prevailing trends in AI research papers. With AI research evolving rapidly, staying informed about its trends is essential fo.
provider Pluralsight
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California Institute of Technology Coursera

Applied Data Analytics

Begin your journey with the Applied Data Analytics Specialization, designed for both beginners and professionals. This program equips you with essential skills in Python, SQL, and Power BI to analyze, visualize, and extract actionable insights. Explore key concepts like data visualization, SQL queries, predictive modeling, and building dashb.
provider Coursera
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California Institute of Technology Coursera

Inside BFSI: Structure, Challenges, and Technology

Inside BFSI: Structure, Challenges, and Technology Course Description: Dive deep into the Banking, Financial Services, and Insurance (BFSI) sector with our comprehensive course. Discover the latest technological advancements and trends driving the industry. Gain invaluable insights into market segmentation, key players, and the regulatory landsca.
provider Coursera
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California Institute of Technology University of Michigan

AI for Energy and Biomedical Applications

“AI for Energy and Biomedical Applications” is a transformative exploration into the revolutionary AI technologies reshaping energy systems and healthcare solutions. In the energy domain, AI is a game-changer in the generation, distribution, and management of energy resources, optimizing renewable energy production, enhancing efficiency, a.
provider Coursera
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California Institute of Technology University of Michigan

AI for Autonomous Vehicles and Robotics

Immerse yourself in the transformative world where artificial intelligence meets autonomy in the course: AI for Autonomous Vehicles and Robotics. Offered by the University of Michigan, this course on Coursera provides a comprehensive journey into how machine learning algorithms are redefining autonomous systems. Explore the depths of supervis.
provider Coursera

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!