Sign in Sign up

Machine Learning courses

1795 Courses

course image
California Institute of Technology Indian Institute of Technology Guwahati

Clinical Decision Support Systems - CDSS 4

Title: Clinical Decision Support Systems - CDSS Description: Dive deep into the intricacies of Clinical Decision Support Systems (CDSS) powered by machine learning with this comprehensive course. Explore the critical need for external validation, calibration analysis, and thorough assessment of bias and fairness in machine learning systems used in.
provider Coursera
sessions On-Demand
course image
California Institute of Technology Coursera

Unsupervised Learning, Recommenders, Reinforcement Learning

Embark on your journey into the transformative world of AI with the Machine Learning Specialization, a comprehensive online program developed through a pioneering collaboration between DeepLearning.AI and Stanford Online. Dive into the third course of this foundational series, where you will: Explore the realm of unsupervised learning, mastering t.
provider Coursera
sessions On-Demand
California Institute of Technology edX

Deep Learning Essentials

Delve into the world of Deep Learning with a comprehensive online course brought to you by IVADO, Mila, and Université de Montréal. Understand the core principles of Deep Learning, explore the types of problems it can solve, and get acquainted with its fundamental concepts and methods. This course is a collaborative effort between the academic and.
provider edX
sessions On-Demand
course image
California Institute of Technology Udemy

Data Science: NLP and Sentimental Analysis in R

Title: Data Science: NLP and Sentimental Analysis in R Description: Dive deep into the world of Data Science with our comprehensive course on Natural Language Processing (NLP) and Sentiment Analysis, using the script of the beloved show "The Big Bang Theory" as a case study. This course, offered on Udemy, is meticulously designed for learners to ma.
provider Udemy
sessions On-Demand
course image
California Institute of Technology Pluralsight

Implement Image Captioning with Recurrent Neural Networks

Unlock the power of machine learning with our comprehensive course on "Implementing Image Captioning with Recurrent Neural Networks," brought to you by Pluralsight. Dive into the fascinating world of image captioning models and gain hands-on experience in building and training these models using the cutting-edge TensorFlow framework. This course is.
provider Pluralsight
sessions On-Demand
course image
California Institute of Technology Pluralsight

Computer Vision Fundamentals with Google Cloud

Explore the realm of computer vision and machine learning with the "Computer Vision Fundamentals with Google Cloud" course, offered through Pluralsight. This course delves into various computer vision applications and presents a comprehensive overview of machine learning strategies designed to tackle these scenarios. Participants will learn how to.
provider Pluralsight
sessions On-Demand
course image
California Institute of Technology Pluralsight

Build an Object Detection Model with Python

Discover the power of object detection and its vast applications from home to industrial settings with our comprehensive course, "Build an Object Detection Model with Python". Offered by Pluralsight, this course dives deep into the realm of artificial intelligence, specifically focusing on machine learning, computer vision, and object detection. Wh.
provider Pluralsight
sessions On-Demand
course image
California Institute of Technology Pluralsight

Data Literacy Essentials: Conversation AI

Discover the world of Conversation AI and empower your understanding with the "Data Literacy Essentials: Conversation AI" course. Perfect for beginners and seasoned professionals alike, this comprehensive course dives into the functionalities and real-world applications of Conversation AI. Explore the intricacies of Google's DialogFlow, a leading c.
provider Pluralsight
sessions On-Demand
course image
California Institute of Technology LinkedIn Learning

Advanced NLP with Python for Machine Learning

Advanced NLP with Python for Machine Learning | LinkedIn Learning Embark on a journey to deepen your natural language processing (NLP) capabilities with the Advanced NLP with Python for Machine Learning course available on LinkedIn Learning. This course is meticulously designed for individuals eager to explore beyond the basics of NLP and gain ex.
provider LinkedIn Learning
sessions On-Demand
course image
California Institute of Technology Coursera

Identifying Bias in Mortgage Data using Cloud AI Platform and the What-if Tool

Discover the intricacies of detecting bias within mortgage data by engaging in a self-directed lab offered through Coursera. This unique learning experience, set within the Google Cloud console, provides an in-depth exploration of employing the What-if Tool to unveil potential biases in a model crafted from mortgage loan application data. As part o.
provider Coursera
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!