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Machine Learning courses

1770 Courses

California Institute of Technology XuetangX

AI TIME ACL 预讲会

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California Institute of Technology XuetangX

AI TIME PhD ICLR专场六

Delve into the forefront of artificial intelligence and machine learning research during the AI TIME PhD ICLR专场六 session. This expertly curated event brings together leading minds in academia and industry to explore and discuss cutting-edge topics, all delivered in Mandarin. Attendees will gain valuable insights into recent advancements in ne.
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California Institute of Technology XuetangX

人工智能原理

人工智能是全球知名大学计算机专业的核心课程之一，也是国际上顶尖高校和研究机构的关键研究领域。该领域研究如何通过计算机软硬件实现Agent的感知、决策和智能行为，涵盖的理论基础包括搜索、推理、规划和学习，其应用范围涉及计算机视觉、图像分析、模式识别、专家系统、自动规划、智能搜索、计算机博弈、智能控制、机器人技术、自然语言处理、社交网络、数据挖掘和虚拟.
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California Institute of Technology XuetangX

计算机是如何实现智能的

Join a captivating Chinese language lecture by Tsinghua University, delving into how computers achieve intelligence. This course uncovers the foundational concepts of artificial intelligence and computer intelligence, highlighting the processes of information processing, decision making, and the simulation of human cognitive functions. Learn.
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California Institute of Technology Udemy

The Complete Intro to Machine Learning

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California Institute of Technology Udemy

Complete Python and Machine Learning in Financial Analysis

Udemy offers an extensive course titled "Complete Python and Machine Learning in Financial Analysis" that combines practical use of Python with advanced Machine Learning and Deep Learning methods tailored for financial analytics. This course is structured with step-by-step coding instructions alongside all required codes, enhancing your skills i.
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California Institute of Technology Udemy

AWS SageMaker Practical for Beginners | Build 6 Projects

Embark on your machine learning journey with our beginner-friendly course on AWS SageMaker, designed to equip you with hands-on experience in building real-world projects. This comprehensive Udemy course covers essential algorithms such as Linear Learner, XGBoost, and PCA, alongside Image Classification techniques. Dive deep into the world of.
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California Institute of Technology Udemy

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

Join our comprehensive course on Udemy to master Decision Trees and Ensembling techniques using Python. Delve into the world of machine learning and data analysis as you learn to implement Bagging, Random Forest, Gradient Boosting Machine (GBM), AdaBoost, and XGBoost efficiently. Perfect for data enthusiasts aiming to enhance their skills in.
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California Institute of Technology Udemy

Complete Machine Learning & Data Science with Python| ML A-Z

Embark on a comprehensive journey into the world of Machine Learning and Data Science with Python. This course offers in-depth knowledge of tools like Numpy, Pandas, Matplotlib, Seaborn, and Scipy. Through this course, offered by Udemy, participants will gain practical insights into supervised and unsupervised machine learning techniques, along.
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California Institute of Technology Udemy

Machine Learning: Master the Fundamentals

Discover the essentials of machine learning with Udemy's comprehensive course, "Machine Learning: Master the Fundamentals." This online course guides you through the intricacies of Python programming, Natural Language Processing (NLP), and Deep Learning techniques. Whether you're a beginner or looking to upgrade your skills, this course provi.
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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!