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محتوای ارائه شده توسط Introduction to Machine Learning. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Introduction to Machine Learning یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Supervised vs Unsupervised vs Reinforcement Learning

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When? This feed was archived on February 12, 2025 04:18 (6M ago). Last successful fetch was on December 08, 2021 22:00 (3+ y ago)

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What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 312485437 series 3236577
محتوای ارائه شده توسط Introduction to Machine Learning. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Introduction to Machine Learning یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In this session on Supervised vs Unsupervised vs Reinforcement learning, we’ll be discussing the types of machine learning and we’ll differentiate them based on a few key parameters. The following topics are covered in this session: 1. Introduction to Machine Learning 2. Types of Machine Learning 3. Supervised vs Unsupervised vs Reinforcement learning
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39 قسمت

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بایگانی مجموعه ها ("فیدهای غیر فعال" status)

When? This feed was archived on February 12, 2025 04:18 (6M ago). Last successful fetch was on December 08, 2021 22:00 (3+ y ago)

Why? فیدهای غیر فعال status. سرورهای ما، برای یک دوره پایدار، قادر به بازیابی یک فید پادکست معتبر نبوده اند.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 312485437 series 3236577
محتوای ارائه شده توسط Introduction to Machine Learning. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Introduction to Machine Learning یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
In this session on Supervised vs Unsupervised vs Reinforcement learning, we’ll be discussing the types of machine learning and we’ll differentiate them based on a few key parameters. The following topics are covered in this session: 1. Introduction to Machine Learning 2. Types of Machine Learning 3. Supervised vs Unsupervised vs Reinforcement learning
  continue reading

39 قسمت

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This edureka Session will introduce you to the concepts of Data Science and how it is used to solve real-world problems. You will learn how Data Science works with an example on UBER. Data is everywhere, and its growing at an exponential rate. So, Data science is the process of using the data to find solutions / to predict outcomes of a problem statement. Below are the topics covered in this session: What is Data Science? How Data Science works? : Data Science at UBER Data Science Process Business Requirements Data Collection Data Cleaning Data Exploration and Analysis Data Modelling Data Validation Deployment and Optimization Data Science Applications Who is a Data Scientist? Data Scientist Job Trends Data Scientist Skills…
 
In this session on Supervised vs Unsupervised vs Reinforcement learning, we’ll be discussing the types of machine learning and we’ll differentiate them based on a few key parameters. The following topics are covered in this session: 1. Introduction to Machine Learning 2. Types of Machine Learning 3. Supervised vs Unsupervised vs Reinforcement learning…
 
This session talks about the differences and relationship between AI, Machine Learning and Deep Learning. Below are the topics covered in this AudioClip: 1. AI vs Machine Learning vs Deep Learning 2. What is Artificial Intelligence? 3. Example of Artificial Intelligence 4. What is Machine Learning? 5. Example of Machine Learning 6. What is Deep Learning? 7. Example of Deep Learning 8. Machine Learning vs Deep Learning…
 
This Edureka Session on "How to become a Machine Learning Engineer" covers all the basic aspects of becoming a certified Machine Learning Engineer. It establishes the concepts like roles, responsibilities, skills, salaries and even trends to get you up to speed with Machine learning. #MachineLearning #Artificial_Intelligence #Salary #Trends…
 
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