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Machine Learning courses

1336 Courses

California Institute of Technology Udemy

Complete Data Science Training with Python for Data Analysis

Complete Data Science Training with Python for Data Analysis | Udemy Join the Complete Data Science Training with Python for Data Analysis. This course is designed for beginners and offers an introduction to the world of data science. You will learn the essential techniques and methods of data analysis using Python. Discover how to utilize popul.
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provider Udemy
pricing Paid Course
duration 12 hours 56 minutes
sessions On-Demand
California Institute of Technology Udemy

AWS SageMaker Practical for Beginners | Build 6 Projects

AWS SageMaker Practical for Beginners | Build 6 Projects Master AWS SageMaker Algorithms including Linear Learner, XGBoost, PCA, and Image Classification while learning SageMaker Studio and AutoML with this beginner-friendly course. Build 6 hands-on projects to solidify your understanding and skills. Provided by Udemy. Categories: Machi.
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provider Udemy
pricing Paid Course
duration 16 hours 14 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Communicating Expectations to the Business

Communicating Expectations to the Business In this course, Communicating Expectations to the Business, you will gain foundational knowledge essential for managing stakeholders' expectations regarding data science, machine learning, and augmented intelligence solutions. First, you will learn what is required for a successful data science solution..
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provider Pluralsight
pricing Free Trial Available
sessions On-Demand
California Institute of Technology Udemy

Complete Python and Machine Learning in Financial Analysis

Complete Python and Machine Learning in Financial Analysis Explore the integration of Python, Machine Learning, and Deep Learning in Financial Analysis through detailed, step-by-step coding guides. This course, offered by Udemy and designed in partnership with a university, covers essential Python programming skills and advanced techniques in Ma.
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provider Udemy
pricing Paid Course
duration 20 hours 17 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Designing and Implementing Solutions Using Google Machine Learning APIs

Designing and Implementing Solutions Using Google Machine Learning APIs Most organizations wish to harness the power of machine learning (ML) to improve their products, but they may not always have the expertise available in-house. This course shows you how to harness the power of ML for use cases using API calls. The Google Cloud Platfo.
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provider Pluralsight
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology Pluralsight

Extracting and Transforming Data in SSIS

Extracting and Transforming Data in SSIS SSIS is an ETL (Extract, Transform, and Load) tool from Microsoft. In this course, you'll learn how to install and configure SSIS, and develop ETL packages with it. Data engineering is the backbone of advanced analytics, business intelligence, and machine learning activities. It is one of the most exciti.
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provider Pluralsight
pricing Free Trial Available
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

The Complete iOS11 Swift4 Development Course - Build 28 Apps

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provider Udemy
pricing Paid Course
duration 43 hours
sessions On-Demand
California Institute of Technology LinkedIn Learning

Data Science on Google Cloud Platform: Predictive Analytics

Enhance your data science skills by learning how to leverage Google Cloud Platform for predictive analytics. This comprehensive course, offered by LinkedIn Learning, guides you through the process of training and deploying machine learning models on GCP. Ideal for those looking to deepen their expertise in machine learning, predictive analytics.
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provider LinkedIn Learning
pricing Free Trial Available
sessions On-Demand
California Institute of Technology Udemy

5 Real-Time Use Cases using Machine Learning

Learn Machine Learning and Deep Learning with 5 Real World projects
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provider Udemy
pricing Paid Course
duration 4 hours 12 minutes
sessions On-Demand
California Institute of Technology Udemy

Decision Trees, Random Forests & Gradient Boosting in R

Predictive models with machine learning wit Rstudio´s ROCR, XGBoost, rparty. Bonus: Neural Networks for Credit Scoring
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provider Udemy
pricing Paid Course
duration 5 hours 57 minutes
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!