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Machine Learning courses

1334 Courses

California Institute of Technology Coursera

What are GPTs and How can they work for my business?

What are GPTs and How can they work for my business? This course provides participants with a comprehensive understanding of how custom GPTs can be leveraged for strategic decision-making in business. It begins with an introduction to custom GPTs, explores their diverse applications in business, and delves into real-world examples of usi.
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California Institute of Technology Coursera

Introduction to Vertex AI Embeddings: Text and Multimodal

Introduction to Vertex AI Embeddings: Text and Multimodal Explore the comprehensive world of Vertex AI with our self-paced lab, Introduction to Vertex AI Embeddings: Text and Multimodal. Conducted through the Google Cloud console, this lab provides hands-on experience with the Vertex AI Embeddings API, catering to both Text and Multimodal (Image.
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California Institute of Technology Coursera

Intro to Context Caching with the Gemini API

Intro to Context Caching with the Gemini API Welcome to a self-paced lab designed for the Google Cloud console. This interactive session will guide you through leveraging the Gemini API context caching feature within Vertex AI. Enhance your AI and machine learning skills through practical implementation on Google Cloud..
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California Institute of Technology Coursera

Develop Code with Gemini in BigQuery

Develop Code with Gemini in BigQuery This self-paced lab, available on Coursera, guides you through the process of using Gemini code generation, explanation, and suggestions in BigQuery within the Google Cloud console.
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California Institute of Technology AWS Skill Builder

Responsible Artificial Intelligence Practices (Traditional Chinese)

負責任的人工智慧實踐 (繁體中文) 在本課程中，您將學習 AI 實踐。首先，將為您介紹什麼是負責任的 AI。您將學習如何定義負責任的 AI、瞭解負責任的 AI 嘗試克服之挑戰，以及探索負責任 AI 的核心維度。 然後，您將深入探索一些主題，瞭解開發負責任的 AI 系統。將為您介紹由 AWS 提供，以協助您使用負責任的 AI 之服務和工具。您也將瞭解在為 AI 系統選擇模型和準備資料時，.
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (Traditional Chinese)

開發生成式人工智慧解決方案 (繁體中文) 在本課程中，您將會探索生成式人工智慧 (生成式 AI) 應用程式生命週期，其中包括以下內容： 定義商業使用案例 選取基礎模型 (FM) 改善 FM 的效能 評估 FM 的效能 部署及其對業務目標的影響 本課程是生成式 AI 課程的入門，其中深入探討使用提示詞工程、檢索增強生成 (RAG) 和微調來自訂 FM 的相關概念。 課程等級：基礎.
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California Institute of Technology Coursera

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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California Institute of Technology Coursera

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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California Institute of Technology Coursera

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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California Institute of Technology Coursera

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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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!