Machine Learning courses

1775 Courses

RNN Architecture and Sentiment Classification

Title: RNN Architecture and Sentiment Classification Description: Artificial Intelligence is revolutionizing data analysis. This course delves into Recurrent Neural Networks (RNNs), starting with basic memory models and advancing to deep RNN structures. You'll explore RNN models like ManyToMany, ManyToOne, and OneToMany through practical exerci.
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Introduction to RNN and DNN

Introduction to RNN and DNN Artificial Intelligence is transforming industries by enabling machines to learn from data and make intelligent decisions. This course offers an in-depth exploration of Recurrent Neural Networks (RNN) and Deep Neural Networks (DNN), two pivotal AI technologies. You’ll start with the basics of RNNs and.
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Keras Deep Learning & Generative Adversarial Networks (GAN)

Keras Deep Learning & Generative Adversarial Networks (GAN) This course is designed to take you on an in-depth journey through the world of deep learning and artificial intelligence. Beginning with an introduction to AI and machine learning concepts, you’ll build a solid foundation in neural networks and deep learning with the Keras framework. As.
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Chatbots

Chatbots The "Chatbots" course offers a comprehensive dive into the world of chatbots, equipping learners with the skills necessary to design, build, and optimize conversational interfaces. Explore the evolution of chatbot technology and grasp the fundamental mechanics that drive their functionality. Engage in hands-on projects using Amazon Lex.
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Securing AI and Advanced Topics

Securing AI and Advanced Topics In the course "Securing AI and Advanced Topics", learners will delve into the cutting-edge intersection of AI and cybersecurity, focusing on how advanced techniques can secure AI systems against emerging threats. Through a structured approach, you will explore practical applications, including fraud prevention usi.
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Training AI with Humans

In the course "Training AI with Humans," you'll explore the intersection of machine learning and human collaboration, focusing on enhancing AI performance through effective data annotation and crowdsourcing. You will gain a comprehensive understanding of machine learning principles and performance metrics while developing practical skills in us.
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Chatbots for Beginners: A Complete Guide to Build Chatbots

Chatbots for Beginners: A Complete Guide to Build Chatbots Embark on a journey to master chatbot development with this detailed course designed for beginners. Starting with an introduction to chatbots, you’ll learn their history, applications, and benefits. Understand the differences between rule-based and self-lear.
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Advanced Chatbots with Deep Learning and Python

Advanced Chatbots with Deep Learning and Python This course is designed to equip learners with the knowledge and skills required to develop advanced chatbots using deep learning and Python. The initial modules provide an overview of chatbots, their evolution, and the benefits of incorporating AI into chatbot development. Learners wil.
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Basics of Chatbots with Machine Learning & Python

Basics of Chatbots with Machine Learning & Python This course offers a thorough exploration of chatbots and their development using machine learning and Python. You’ll start with an introduction to chatbots, including their history and various applications across industries. The course then delves into the distinctions between chatbots, virtual.
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LangChain MasterClass: Build 15 LLM Apps with Python

LangChain MasterClass: Build 15 LLM Apps with Python Unlock the limitless potential of AI and language-based applications with our LangChain Masterclass. This comprehensive course takes you on a transformative journey through LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guided by industry experts. You'll engage in hands-on projects ranging fro.
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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!