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Machine Learning courses

1795 Courses

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California Institute of Technology LinkedIn Learning

AI The LinkedIn Way: A Conversation with Deepak Agarwal

Join us for an enlightening session titled "AI The LinkedIn Way: A Conversation with Deepak Agarwal." Dive into the intriguing world of artificial intelligence as Deepak Agarwal, the esteemed Vice President of AI at LinkedIn, shares his insights. This conversation will cover a variety of topics, including the pivotal role of AI at LinkedIn, invalua.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology Coursera

Recognizing Facials and Objects with Amazon Rekognition

Join our insightful two-hour project on Recognizing Faces and Objects with Amazon Rekognition, offered through Coursera. This course dives deep into the functionalities of Amazon Rekognition, a leading Artificial Intelligence service within AWS, acclaimed for its high accuracy and cost-efficiency in image analysis. Participants will gain hands-on e.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Deploy a Video indexing Application using Amazon Rekognition

Join our immersive one-hour project on Coursera to unravel the capabilities of Amazon Rekognition for video analysis. This hands-on project equips you with the knowledge to deploy a web application leveraging the AWS SDK. You'll dive deep into the process of uploading and indexing videos, enabling the detection of faces, objects, and labels within.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Introduction to AI and Machine Learning on Google Cloud

Embark on a transformative learning journey with the "Introduction to AI and Machine Learning on Google Cloud" course offered by Coursera. This comprehensive course is designed to illuminate the vast landscape of artificial intelligence (AI) and machine learning (ML) capabilities provided by Google Cloud. From foundational concepts to advanced AI s.
provider Coursera
sessions On-Demand
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California Institute of Technology ESSEC Business School

Machine Learning Algorithms with R in Business Analytics

Discover the transformative power of machine learning in the realm of business analytics with our comprehensive course, "Machine Learning Algorithms with R in Business Analytics", brought to you by ESSEC Business School on Coursera. Delve into the heart of business data to uncover patterns and actionable insights using advanced machine learning alg.
provider Coursera
sessions On-Demand
California Institute of Technology Indian Institute of Technology, Kharagpur

Machine Learning: Unsupervised Learning

The "Machine Learning: Unsupervised Learning" course, part of a three-course ensemble at Georgia Tech identified as CS7641, explores the intriguing world of unsupervised learning without offering Georgia Tech credit for participants.This intermediate course demystifies how platforms like Netflix predict your movie preferences or Amazon foresees you.
provider Udacity
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Google Cloud Video Intelligence API by Example

``` Join our comprehensive course on Google Cloud Video Intelligence API, available on LinkedIn Learning. This program is designed for individuals looking to dive into the functionalities of the Google Video Intelligence API, seamlessly integrating with Python to extract meaningful insights from video content. Whether you're a Python enthusiast, a.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology Coursera

Analyzing a Tennis Serve with the Video Intelligence API

Title: Analyzing a Tennis Serve with the Video Intelligence API Description: Dive into this self-paced lab, situated within the Google Cloud console, and uncover the techniques to analyze crucial components of a tennis serve leveraging the power of the Video Intelligence API. Kickstart your journey by viewing the brief introduction video upon which.
provider Coursera
sessions On-Demand
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California Institute of Technology FutureLearn

4.0 Shades of Digitalisation for the Chemical and Process Industries

Discover the transformative power of digital technologies for the chemical and process industries with an enlightening four-week course offered by the University of Padova, in collaboration with several prestigious Italian universities. This course, hosted on FutureLearn, delves into the heart of the fourth industrial revolution, shedding light on.
provider FutureLearn
sessions On-Demand
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California Institute of Technology FutureLearn

Introduction to Microsoft Azure AI Fundamentals

Embark on a transformative journey with our "Introduction to Microsoft Azure AI Fundamentals" course, meticulously crafted in collaboration with Microsoft. This comprehensive five-week online course is your pathway to mastering the fundamentals of artificial intelligence (AI), unlocking the potential to revolutionize applications, drive technologic.
provider FutureLearn
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!