Machine Learning courses

1335 Courses

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.
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provider LinkedIn Learning
pricing Free Trial Available
duration 2-3 hours
sessions On-Demand

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.
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provider DataCamp
pricing Free Trial Available
duration 4 hours
sessions On-Demand

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.
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provider DataCamp
pricing Free Trial Available
duration 2 hours
sessions On-Demand

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.
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provider A Cloud Guru
pricing Free Trial Available
duration 13 hours
sessions On-Demand

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.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 43 weeks, 3 hours a week

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.
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provider Udemy
pricing Paid Course
duration 4-5 hours
sessions On-Demand

Complete A.I. & Machine Learning, Data Science Bootcamp

Complete A.I. & Machine Learning, Data Science Bootcamp Unlock the power of data and automation by joining our comprehensive online bootcamp on Data Science and Machine Learning. Master vital skills including Data Analysis, Artificial Intelligence, and Python programming. Explore sophisticated libraries and frameworks like TensorFlow and Pandas. Th.
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provider Udemy
pricing Paid Course
duration 1 day 19 hours 54 minutes
sessions On-Demand

Machine Learning | Natural Language Processing | Streamlit

Title: Machine Learning & Natural Language Processing with Streamlit Description: Dive deep into the realms of Machine Learning (ML) and Natural Language Processing (NLP) by learning to build and host your own NLP web application using Streamlit—offered by Udemy. Provider: Udemy Categories: Machine Learning Courses, Data Science Courses, Natural La.
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provider Udemy
pricing Paid Course
duration 5 hours 11 minutes
sessions On-Demand

Python & Machine Learning for Financial Analysis

Event Title: Python & Machine Learning for Financial Analysis Event Description: Dive into the essentials of Python programming and apply machine learning techniques to real-world financial problems. This course, provided by Udemy, equips participants with fundamental skills in Python, focusing on libraries like NumPy and pandas. Learn to harness t.
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provider Udemy
pricing Paid Course
duration 23 hours 2 minutes
sessions On-Demand

Machine Learning, Data Science and Generative AI with Python

Event Title: Machine Learning, Data iOSce and Generative AI with Python Description: Dive into the future of technology with our comprehensive workshop focusing on Machine Learning and Generative AI. This hands-on tutorial covers key concepts in data science, utilizing tools like Tensorflow, GPT, and OpenAI, alongside essential neural network train.
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provider Udemy
pricing Paid Course
duration 18 hours 19 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!