Machine Learning courses

1795 Courses

Coursera

AWS Certified AI Practitioner

Welcome to the transformative journey that is the AWS Certified AI Practitioner Course! In today's rapidly changing AI landscape, having a firm grasp of AI concepts is critical, but knowing how to implement these concepts on AWS is where the challenge—and opportunity—lies. If you've ever felt overwhelmed by the complexities of integrating AI into A.

Coursera

Introduction to AI

Discover the fundamental concepts behind artificial intelligence (AI) and machine learning in this introductory course. Explore the various types of AI, examine ethical considerations, and delve into the key machine learning models that power modern AI systems. Whether your goal is to work directly with AI, strengthen your software development skil.

Coursera

AWS Skill Builder

Quiz - Generative AI Fundamentals

This course was developed by members of AWS Training & Certification India. The content is intended to complement our standard training curriculum and augment your AWS learning journey. As artificial intelligence continues to reshape our digital landscape, understanding the basics of generative AI has become essential for professionals across all.

AWS Skill Builder

[RETIRING] Exam Prep Standard Course: AWS Certified AI Practitioner (AIF-C01)

This course includes the following:In this course, you will do the following: 1. Understand the knowledge tested by the AWS Certified AI Practitioner (AIF-C01) exam.2. Evaluate your gaps in knowledge of the exam topics.This course is intended for individuals who meet the following requirements:1. Have up to 6 months of exposure to AI and ML t.

AWS Skill Builder

Coursera

AI Strategy for Business Leaders with ChatGPT, ML & DL

Unlock the power of AI to transform your business strategy. This course equips business leaders with the knowledge to harness AI, ChatGPT, machine learning (ML), and deep learning (DL) for competitive advantage. You'll gain a solid foundation in AI fundamentals, debunk common myths, and explore real-world applications shaping industries today. You'.

Coursera

Certificate in Data Science

Gain in-demand knowledge and specialized skills in the cutting-edge world of technology. Explore data to discover insights and make important predictions. This certificate is perfect for working professionals who want a strong foundation in data science or hope to pursue a degree in the future.The Certificate in Data Science is a 21-credit program.

Coursera

Artificial Intelligence in Finance and Wealth Management

This 3-course specialization offers a comprehensive exploration of Artificial Intelligence (AI) and Machine Learning in financial planning and wealth management. Course one, "Machine Learning and Human Learning," examines the differences between machine and human learning, including supervised and unsupervised machine learning, and explores practic.

Coursera

Bachelor of Science in Computer Science (BCS) Online Degree

Expand your knowledge by learning about innovative software, computer programming and technology to give you a critical advantage in a popular industry. Become fluent in current programming languages like Java and Python, explore database management, and dive into the latest concepts in AI and machine learning. This degree is perfect for working p.

Data Wrangling with Python

Master data wrangling with Python in hands-on, self-paced course and live instructor support. Learn how to make messy data usable.

AI and Machine Learning

Master AI and machine learning with instructor support. This hands-on course teaches you to build ML pipelines, analyze data and drive innovation.

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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:

Voice assistant Alisa. This system, without human help, will always find the answer to any question of interest, turn on music, answer the call and much more.

Selecting relevant advertising in browsers is not an easy process for a person, but it is quick for a computer. The system will analyze the viewing data and select what a particular user will like. The same system is used on various marketplaces - products that a person viewed or purchased are offered.

Chatbots in various dialogues. For example, many banks use bots to solve customer problems. It's convenient and fast.

Data security: Machine learning models can identify data security vulnerabilities before they become breaches. By analyzing past experiences, machine learning models can predict future high-risk actions so that risk can be mitigated proactively.

Finance: Banks, trading brokers and fintech firms use machine learning algorithms to automate trading and provide financial advisory services to investors. Bank of America uses chatbot Erica to automate customer support.

Healthcare: Machine learning is used to analyze massive medical data sets to speed up the discovery of treatments and cures, improve patient outcomes, and automate routine processes to prevent human errors. For example, IBM Watson uses data mining to provide doctors with data they can use to personalize patient care.

Fraud detection: AI is used in the finance and banking sector to autonomously analyze large numbers of transactions to identify fraudulent activities in real time. Technology services company Capgemini says fraud detection systems using machine learning and analytics reduce fraud investigation time by 70% and increase detection accuracy by 90% .

Retail: AI researchers and developers are using machine learning algorithms to develop AI recommendation engines that make relevant product suggestions based on shoppers' past choices, as well as historical, geographic and demographic data.

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:

Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

Average knowledge of statistics and probability.

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.

Understanding Calculus.

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!