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Machine Learning courses

1795 Courses

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California Institute of Technology Udemy

Machine Learning (ML) Bootcamp: Python, TensorFlow, Colab,..

Machine Learning (ML) Bootcamp: Python, TensorFlow, Colab, and More Presented by Udemy - Dive into the essentials of machine learning with our comprehensive bootcamp. This course is designed to help you master the core areas critical to ML expertise: the fundamentals of Mathematics, advanced Methods, and practical Machine applications. Perfect for.
provider Udemy
sessions On-Demand
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California Institute of Technology Coursera  Professional Certificate

IBM Machine Learning

Embark on a transformative journey towards a Machine Learning career with IBM's Professional Certificate program offered through Coursera. Designed to make you job-ready in less than three months, this comprehensive program equips you with essential skills in AI and Machine Learning. Understand the complexity of algorithms and statistical models th.
provider Coursera  Professional Certificate
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California Institute of Technology A Cloud Guru

Google Certified Professional Data Engineer

Welcome to the Google Certified Professional Data Engineer course, brought to you by A Cloud Guru! This comprehensive training is tailored to those aspiring to specialize in the fields of data management, analytics, machine learning, and artificial intelligence, particularly within the Google ecosystem. Our course is designed to not only prepare yo.
provider A Cloud Guru
sessions On-Demand
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California Institute of Technology DataCamp

Understanding Machine Learning

Title: Understanding Machine Learning Description: Dive into the world of machine learning without the complexity of coding. Curious about the buzz around machine elegance learning and its capabilities? This beginner-friendly course requires no prior coding experience and offers hands-on exercises to demystify the jargon associated with this transf.
provider DataCamp
sessions On-Demand
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California Institute of Technology DataCamp

Introduction to Deep Learning in Python

Title: Introduction to Deep Learning in Python Description: Embark on your journey through the dynamic field of deep learning in this comprehensive course. You'll start by understanding the core principles of neural networks, and gradually move onto building your own deep learning models utilizing Keras 2.0, the newest version of the powerful libra.
provider DataCamp
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Applied Machine Learning: Foundations

Event Title: Applied Machine Learning: Foundations Description: Unlock the power of machine learning and generate impactful insights across various industries. This comprehensive course provided by LinkedIn Learning equips you with the essential skills to solve a wide array of machine learning challenges. From mastering Python coding to advanced te.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology Udemy

Complete Machine Learning with R Studio - ML for 2024

Title: Complete Machine Learning with R Studio - ML for 2024 Description: Master machine learning using R Studio with our comprehensive course. Dive into key ML methods including Linear and Logistic Regression, Decision Trees, XGBoost, SVM, and various other ML models. Perfect for those proficient in the R programming language, this course offers a.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Linear Regression and Logistic Regression using R Studio

Linear Regression and Logistic Regression using R Studio Embark on a journey into the essentials of Linear Regression and Logistic Regression through our comprehensive course designed for beginners. Offered through Udemy, this course aims to clarify the distinctions between Regression and Classification techniques. Covering a broad spectrum of to.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

ML for Business Managers: Build Regression model in R Studio

ML for Business Managers: Build Regression Model in R Studio Unlock your potential in Machine Learning and Econometrics with our comprehensive course titled 'ML for Business Managers: Build Regression Model in R Studio'. This course, brought to you by Udemy, focuses on both Simple and Multiple Regression techniques essential for predictive analytic.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Machine Learning & Deep Learning in Python & R

Machine Learning & Deep Learning in Python & R Delve into the realms of Machine Learning and Deep Learning with this comprehensive course provided by Udemy. Master essential techniques such as Regression, Decision Trees, Support Vector Machines (SVM), Neural Networks, Convolutional Neural Networks (CNN), and Time Series Forecasting using both Pytho.
provider Udemy
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!