Machine Learning courses

1770 Courses

Udemy

GenAI Fundamentals for UX Designers + Researchers

Elevate your skills in UX design by understanding how to leverage Generative AI (GenAI) for superior user interfaces and product innovation. This comprehensive course on Udemy dives into the core components that will prepare you to lead AI-driven projects effectively. Designed for UX designers and researchers, the course also covers ethic.

Udemy

Complete AWS Certified AI Practitioner – AIF-C01 [NEW]

Complete AWS Certified AI Practitioner – AIF-C01 [NEW] Embark on the ultimate learning journey with the "Complete AWS Certified AI Practitioner – AIF-C01" course. Designed to ensure you pass the exam with flying colors, this course offers a full practice exam for thorough exam readiness. Gain practical, hands-on experience in Artificial Intel.

Udemy

Data Lake Fundamentals

Discover the world of data lakes and learn how to leverage them for cutting-edge data analytics, artificial intelligence, and machine learning. Join Udemy's Data Lake Fundamentals course to explore the critical elements of big data management, data governance, and security. This course is tailored for those looking to enhance their knowledge.

Udemy

The Complete Salesforce Certified AI Associate Exam Course

Embark on your journey to mastering Salesforce AI with our expertly designed course tailored to equip you for the Salesforce Certified AI Associate Exam. This comprehensive program covers all essential areas to ensure you attain the first AI Certification from Salesforce successfully. Discover the integration of AI in business intelligence and.

Udemy

Google Bard: Using Google Bard Effectively (Quick Overview)

Google Bard: Using Google Bard Effectively (Quick Overview) Explore the transformative capabilities of Google Bard, a cutting-edge AI tool designed to significantly enhance your productivity and efficiency. This quick overview course offered by Udemy provides essential insights to harness the full potential of Google Bard, making it an invalu.

Udemy

ChatGPT for Financial Professionals

Udemy

Generative AI For Managers and Leaders

Generative AI For Managers and Leaders | Udemy Course Elevate your leadership skills by delving into the world of Generative AI with our specialized Udemy course designed for managers and leaders. Gain valuable insights on integrating AI into your business processes, addressing the inherent challenges of Generative AI, and managing.

Udemy

Generative AI for Leaders & Business Professionals

Udemy Course: Generative AI for Leaders & Business Professionals Elevate your business acumen with the 'Generative AI for Leaders & Business Professionals' course. Offered by Udemy, this program is tailored for leaders aiming to harness the power of modern AI technologies. Equip yourself with cutting-edge knowledge in artificial intelligence,.

Udemy

NVIDIA-Certified Associate - Generative AI LLMs (NCA-GENL)

Udemy Elevate your expertise in Generative AI with the NVIDIA-Certified Associate program. This specialized course prepares you for the NCA-GENL exam, focusing on key areas such as Python, Machine Learning, Deep Learning, Neural Networks, and more. Discover the potential of Generative AI, master Prompt Engineering, and explore the nuances of.

Udemy

ChatGPT Generative AI For Business Leaders | Gen AI Primer

Embark on a transformative journey with our ChatGPT Generative AI For Business Leaders course. Specially designed for forward-thinking business leaders, this course equips you with the knowledge to leverage Generative AI effectively. Within a concise 2-hour session, delve into the foundational concepts of AI, focusing on practical business a.

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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!