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Machine Learning courses

1795 Courses

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California Institute of Technology edX

IBM Applied AI Developer

The IBM Applied AI Developer Professional Certificate provides essential skills for aspiring AI developers, perfectly aligning with the 92% of companies planning to boost their AI investments over the coming years (McKinsey). This course equips you with the expertise to create AI-driven applications, virtual assistants, and chatbots, all within a s.
provider edX
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California Institute of Technology edX

Foundations of AI

In today's fast-paced world, 71% of executives are eager to hire candidates with AI skills, making it crucial to stay informed about the evolving landscape of artificial intelligence. This IBM Professional Certificate is crafted to provide a robust understanding of AI's core principles and practical applications within just 9 weeks. Ideal for profe.
provider edX
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California Institute of Technology Tecnológico de Monterrey

Inteligencia Artificial aplicada a los negocios

Descubre cómo la inteligencia artificial transforma el mundo empresarial. Domina herramientas de Aprendizaje Máquina y aplícalas para decisiones exitosas, manteniendo las buenas prácticas y ética digital. En la era digital, tecnología como redes sociales e internet de las cosas impulsan avances que optimizan el uso humano de las computadoras. Nego.
provider edX
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California Institute of Technology Tecnológico de Monterrey

Inteligencia Artificial y Robótica

La robótica y la inteligencia artificial son esenciales para el éxito empresarial en diversas industrias. La automatización industrial representa una realidad actual. Según el Foro Económico Mundial, roles como Especialistas en Aprendizaje de Máquina, Científicos de Datos y Expertos en Inteligencia Artificial, con competencias en Big Data y cien.
provider edX
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California Institute of Technology Universidad Carlos iii de Madrid

Text Analytics with Python

Discover the essentials of text analytics and natural language processing (NLP) through this comprehensive Text Analytics with Python course. This program offers a blend of practical and theoretical insights into the world of computational linguistics and cognitive science. You'll gain hands-on experience in Python, mastering the creation of pipeli.
provider edX
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California Institute of Technology Harvard University

Tiny Machine Learning (TinyML)

Join the transformative Professional Certificate program in Tiny Machine Learning (TinyML) offered by Harvard University and Google TensorFlow. Dive into the emerging field of TinyML, exploring its real-world applications and future potential. TinyML revolutionizes machine learning by applying it to small devices and embedded systems, navigating t.
provider edX
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California Institute of Technology Indian Institute of Technology Roorkee

Fintech: The Future of Finance

Fintech: The Future of Finance The financial industry is rapidly evolving with the integration of technology. To keep pace, finance professionals need to equip themselves with tech-savvy skills. Organizations increasingly recognize the critical role of technologies like AI, machine learning, distributed ledgers, and algorithmic trading in shapin.
provider edX
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California Institute of Technology edX

Foundations of AI

Explore the transformative world of Artificial Intelligence (AI), now an integral part of every industry and everyday life. This program, designed for individuals with little to no background in AI, computer science, or data science, aims to build a foundational understanding of AI's impact on organizations and society, enhancing career prospects..
provider edX
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California Institute of Technology Harvard University

Python for Data Science and Machine Learning

Are you considering a career in data science and machine learning but unsure where to begin? As demand grows for experts in machine learning (ML) and artificial intelligence (AI), the field presents abundant career opportunities. The increased accessibility of machine learning tools means companies are quickly embracing these technologies, boo.
provider edX
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California Institute of Technology Harvard University

Data Science and Machine Learning

Are you interested in pursuing a career in data science and machine learning but unsure of where to begin? The demand for professionals skilled in machine learning (ML) and artificial intelligence (AI) is surging, driven by the evolving data science landscape. As machine learning tools become more accessible, companies are increasingly adopting the.
provider edX

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!