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Machine Learning courses

1330 Courses

California Institute of Technology Coursera

Geliştiriciler İçin Sorumlu Yapay Zeka: Adalet ve Önyargı

Bu kursta, sorumlu yapay zeka kavramı ve yapay zeka ilkeleri tanıtılmaktadır. Kurs, adalet ve önyargıyı pratik şekilde tanımlama teknikleri ile yapay zeka/makine öğrenimi uygulamalarında önyargının azaltılması konularını ele almaktadır. Kurs boyunca, Google Cloud ürünleri ve açık kaynaklı araçları kullanarak sorumlu yapay zekayla ilgili en iy.
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California Institute of Technology Coursera

Büyük Dil Modellerine Giriş

Coursera tarafından sunulan "Büyük Dil Modellerine Giriş" adlı bu kurs, büyük dil modellerinin (BDM) ne olduğunu ve hangi alanlarda kullanılabileceğini anlamak için ideal bir başlangıçtır. Bu mikro öğrenme kursu, BDM'lerin performansını artırmak için nasıl istem ayarlaması yapabileceğinizin yanı sıra, Google'ın sunduğu araçlar ile kendi üretken.
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California Institute of Technology Coursera

Yorumlanabilirlik ve Şeffaflık

Bu kursta, yapay zekanın yorumlanabilirliği ve şeffaflığı konularında temel bilgiler sunulmaktadır. Kurs, geliştiriciler ve mühendisler için yapay zeka sistemlerinde şeffaflığın önemine odaklanmaktadır. Eğitim boyunca, veri ve yapay zeka modellerinde yorumlanabilirliğin ve şeffaflığın sağlanmasına yardımcı olacak pratik yöntemler ve araçlar tanı.
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California Institute of Technology Coursera

Dönüştürücü Modelleri ve BERT Modeli

Bu kurs, dönüştürücü mimarisi ve çift yönlü kodlayıcı temsilleri (BERT) modeline dair kapsamlı bir inceleme sunmaktadır. Öz dikkat mekanizması gibi dönüştürücünün ana bileşenlerini öğrenme fırsatı bulacak, BERT modelini oluşturmak ve bu modeli çeşitli görevlerde kullanmak için dönüştürücünün nasıl uygulandığını keşfedeceksiniz. Sınıflandırma,.
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California Institute of Technology Udemy

Deep Learning Python Project: CNN based Image Classification

Embark on a transformative journey into the world of deep learning with our comprehensive project on image classification using Convolutional Neural Networks (CNN). Designed for beginners, this course utilizes the CIFAR-10 dataset and provides detailed insights into building and training your own CNN models leveraging Python's powerful framewor.
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California Institute of Technology Udemy

【試験対策から本質の理解まで、知識をまとめて身に付けよう！】G検定対策講座

イベントタイトル：試験対策から本質の理解まで、知識をまとめて身に付けよう！G検定対策講座 概要：G検定は機械学習やディープラーニングの基礎を学ぶための重要な入口となる試験です。この講座では、受験対策として知識をまとめ、本質的な理解を深められるようにサポートします。 プラットフォーム：Udemy 関連カテゴリー：人工知能コース、機械学習コース、ディープラー.
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California Institute of Technology Udemy

はじめてのPythonプログラミング入門

はじめてのPythonプログラミング入門で、生成AIや機械学習、データサイエンス、そしてウェブ制作に役立つ基本的なプログラミングスキルを身につけましょう。Udemyが提供するこのコースでは、初心者から上級者まで幅広く対応し、最新の技術を用いた有用な知識を獲得できます。Pythonを活用して、あなたのアイデアを実現するための第一歩を踏み出してください。
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California Institute of Technology Coursera

Classification - Fundamentals & Practical Applications

Classification problems are a frequent challenge in data science. This course empowers you to understand and apply key algorithms to predict and enhance business decision-making. Suited for those aspiring to be data scientists or with a focus on analytics and business intelligence, this course provides a deep dive into classification problems,.
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California Institute of Technology XuetangX

Intelligent Control（智能控制）

The rise and in-depth research of artificial intelligence propel control theory toward simulating various intelligences. Concurrently, the automatic control of unmanned systems and intelligent products drives continuous development in intelligent control technology. This course serves as a professional core for students majoring in automation, c.
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California Institute of Technology Udemy

Amazon Bedrock, Amazon Q & AWS Generative AI [HANDS-ON]

Elevate your AI capabilities with a comprehensive course on Amazon Bedrock, Amazon Q, and AWS Generative AI. Perfect for beginners, this hands-on training requires no prior experience in AI or coding. Dive into practical learning with over eight use cases, exploring various AWS and AI technologies such as Agents, Knowledge Bases, Chatbots,.
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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!