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Machine Learning courses

1795 Courses

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California Institute of Technology edX

Recommender Systems: Behind the Screen

Delve into the world of Recommender Systems: Behind the Screen, a comprehensive course meticulously designed by IVADO and HEC Montréal. This enlightening education journey, hosted in Montreal, offers a deep dive into the methodologies and practices behind recommender systems. These systems play a pivotal role in shaping personalized online experien.
provider edX
sessions On-Demand
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California Institute of Technology Coursera  Professional Certificate

IBM Data Engineering

Launch your career in the thriving field of data engineering with IBM's comprehensive program offered through Coursera. This professional certificate program equips you with essential skills, including Python, SQL, databases, and more, to ensure you're job-ready in under five months. Data engineering involves creating systems for collecting, proces.
provider Coursera  Professional Certificate
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California Institute of Technology Coursera

Getting Started with SAS Programming

Embark on your SAS programming journey with our comprehensive course designed for beginners! This course, offered through Coursera and pivotal for anyone aiming to delve into data science, machine learning, and artificial intelligence, serves as the foundation for mastering SAS programming. Perfect for beginners, it requires no prior experience wit.
provider Coursera
sessions On-Demand
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California Institute of Technology University of California, Berkeley

Análise de Dados para Workforce Management

Descubra como transformar o gerenciamento de talentos em sua empresa com o curso "Análise de Dados para Workforce Management," oferecido pela University of California, Berkeley em colaboração com a Coursera Specialization. Em uma era definida pelo Big Data e Inteligência Artificial, onde a geração de dados ocorre em uma escala sem precedentes, ente.
provider Coursera  Specialization
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California Institute of Technology University of California, Berkeley

Machine Learning Aplicado ao Marketing

Title: Machine Learning Applied to Marketing Description: In the marketing realm, significant strides have been made in data management and customer information collection, evolving from manual, rigid processes to applications that are just a tap away. This evolution not only boosts revenue but also enhances customer experience. Key tech giants suc.
provider Coursera  Specialization
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California Institute of Technology Coursera  Professional Certificate

DeepLearning.AI TensorFlow Developer

Embark on a transformative journey with the DeepLearning.AI TensorFlow Developer Professional Certificate program, a comprehensive pathway designed for those eager to master TensorFlow, the leading open-source framework in deep learning today. Offered in collaboration with Coursera, this certificate program equips you with applied machine learning.
provider Coursera  Professional Certificate
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California Institute of Technology University of Urbino

Introduction to Medical Software

Explore the World of Medical Software: A Comprehensive Course Delve into the intricate realm of medical software with this expansive course offered by the University of Urbino on Coursera. Designed for third- or fourth-year undergraduates majoring in computer science, biomedical engineering, and closely related fields, as well as junior software en.
provider Coursera
sessions On-Demand
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California Institute of Technology Dartmouth College

Foundations of Data Science

Explore the fascinating world of Data Science with the comprehensive course "Foundations of Data Science," offered by Dartmouth College on edX. This course delves into the intricate relationship between Data Science, artificial intelligence (AI), and its crucial components, including statistical learning (SL), machine learning (ML), and deep learni.
provider edX
sessions On-Demand
California Institute of Technology Swayam

Foundation of Cloud IoT Edge ML

About the Course: Dive into the revolution of computing models with the "Foundation of Cloud IoT Edge ML" course. This transformative learning journey is tailored to unravel the complexities of Internet of Things (IoT), cloud computing, machine learning (ML), and embedded technologies, which are amalgamating to form the groundbreaking Edge Computin.
provider Swayam
sessions 18th Feb, 2024
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California Institute of Technology ESSEC Business School

Data Analytics Foundations for Accountancy II

Welcome to the "Data Analytics Foundations for Accountancy II" course, offered by ESSEC Business School on Coursera. This course is designed to enhance your learning in the realms of Machine Learning, Anomaly Detection, Data Analysis, and Ensemble Learning, pivotal in the modern accountancy landscape. As your instructor, I am thrilled to embark on.
provider Coursera
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!