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Machine Learning courses

1336 Courses

California Institute of Technology Coursera

How Google does Machine Learning en Español

Cómo Google hace Machine Learning en Español ¿Cuáles son las prácticas recomendadas para implementar el aprendizaje automático en Google Cloud? ¿Qué es Vertex AI y cómo se puede utilizar la plataforma para crear, entrenar e implementar rápidamente modelos de aprendizaje automático de AutoML sin escribir una sola línea de código? Google consider.
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provider Coursera
pricing Free Online Course (Audit)
duration 15 hours
sessions On-Demand
California Institute of Technology Udemy

16+ Saat Python ile Veri Bilimi ve Makine Öğrenmesi

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provider Udemy
pricing Paid Course
duration 16 hours
sessions On-Demand
California Institute of Technology Udemy

Machine Learning Komplettkurs mit Python [2024 Edition]

Title: Machine Learning Komplettkurs mit Python [2024 Edition] Description: Meistere maschinelles Lernen: Eigenständige Implementierung der Algorithmen von sklearn und TensorFlow keras. University: Udemy Categories: Artificial Intelligence Courses, Python Courses, Machine Learning Courses, Reinforcement Learning Courses
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provider Udemy
pricing Paid Course
duration 13 hours 34 minutes
sessions On-Demand
California Institute of Technology Delft University of Technology

AI in Architectural Design

AI in Architectural Design Are you navigating through the maze of AI discussions in everyday conversations? Do you feel overwhelmed and find it challenging to keep up with the constant flow of AI news? Or perhaps you are enthusiastic about AI and its transformative power in design practices. This course will shed light on the science behind the.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 2-4 hours a week
sessions On-Demand
California Institute of Technology DataCamp

Data Science for Business

Data Science for Business Learn about data science for managers and businesses and how to use data to strengthen your organization. What is data science and how can you use it to enhance your organization? This course will teach you about the skills you need on your data team and how to structure that team to meet your organization's unique ne.
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provider DataCamp
pricing Free Trial Available
duration 2 hours
sessions On-Demand
California Institute of Technology OpenClassrooms

Utilisez des modèles supervisés non linéaires

Dans le cours Entraînez un modèle prédictif linéaire, vous avez appris à construire des modèles linéaires de classification binaire ou multi-classe et de régression. Mais ceux-ci peuvent ne pas être adaptés à la nature de vos données. Dans ce cours, vous apprendrez à entraîner des modèles supervisés non-linéaires sur vos données. Vous comprendre.
provider OpenClassrooms
pricing Free Online Course
duration 12 hours
sessions On-Demand
California Institute of Technology

Applied Deep Learning Capstone Project

Applied Deep Learning Capstone Project Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable, and digital credential that profiles the knowledge and skills acquired in this course. Enroll to learn more, complete the course, and claim your badge! In this capstone project, you'll use a De.
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California Institute of Technology University of Queensland

Teaching Impacts of Technology: Data Collection, Use, and Privacy

Teaching Impacts of Technology: Data Collection, Use, and Privacy In this course, you'll delve into the influence of constant data collection and big data analysis on daily life. Discover the fine balance between using and safeguarding your data, and consider its potential future benefits. The journey includes paired teaching sections that exami.
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California Institute of Technology Skillshare

Artificial Intelligence for Beginners: Tools to Learn Machine Learning

Artificial Intelligence for Beginners: Tools to Learn Machine Learning What really is “artificial intelligence”? “Machine learning”? Let’s cut through the meaningless buzzwords, and talk the real talk. This class covers must-know topics for AI product managers, ML practitioners, and anyone in between that’s curious about these emerging fields. We.
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provider Skillshare
pricing Free Trial Available
duration 1 hour 5 minutes
sessions On-Demand
California Institute of Technology Stanford University

Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud

University: Stanford University Provider: YouTube Categories: Machine Learning Courses, Reinforcement Learning Courses, Federated Learning Courses This course aims to teach learners about distributed perception and learning between robots and the cloud. The learning outcomes include understanding the key challenges of cloud robotics, distribu.
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provider YouTube
pricing Free Online Course
duration 47 minutes
sessions On-Demand

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!