Machine Learning courses

1733 Courses

edX

Google Cloud Computing Foundations

Google Cloud Computing Foundations is designed for individuals with little to no prior experience in cloud computing. This comprehensive program offers an introduction to fundamental concepts in cloud basics, big data, and machine learning, alongside insights into Google's role in this ecosystem. Upon completion of this course series, particip.

Tecnológico de Monterrey

Inteligencia Artificial y Robótica

La robótica y la inteligencia artificial son factores clave para el éxito y permanencia en el mercado de las diferentes industrias, haciendo de la automatización industrial una realidad. Según el Foro Económico Mundial, roles como Especialistas en Aprendizaje de Máquina, Científicos de Datos o Expertos en Inteligencia Artificial, que demandan ha.

Tecnológico de Monterrey

Inteligencia Artificial aplicada a los negocios

Inteligencia Artificial Aplicada a los Negocios | Tecnológico de Monterrey | edX En este curso aprenderás a identificar elementos clave de la inteligencia artificial que han tenido un impacto significativo en los negocios. Explora nuevas herramientas en aprendizaje máquina y cómo aplicarlas para tomar decisiones acertadas dentro de tu empresa, ten.

Udemy

AI & LLM Engineering Mastery: GenAI, RAG Complete Guide

Embark on a comprehensive journey into the world of AI and LLM Engineering with Udemy's expert-led course, "AI & LLM Engineering Mastery: GenAI, RAG Complete Guide." This course covers everything from the basics to advanced engineering techniques, including fine-tuning of AI models, exploration of retrieval-augmented generation (RAG), and the in.

edX

FinTech for Finance and Business Leaders

FinTech for Finance and Business Leaders | edX Explore how FinTech offers innovative opportunities in various sectors from financial services to healthcare. This program is tailored for finance professionals eager to harness the potential of technologies like artificial intelligence and machine learning. Grasp how these innovations can transform.

edX

Fundamentals of Google AI for Web Based Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are transforming our everyday lives and work environments. This program introduces you to these groundbreaking technologies and equips you with practical AI skills. As ML grows rapidly, understanding its workings, benefits, and societal impacts becomes essential. This program clarifies.

edX

Generative AI for Data Scientists

Are you eager to elevate your data science skills with generative AI? Tailored for data scientists, analysts, architects, engineers, and data enthusiasts, this program equips you with the essential knowledge to integrate gen AI into your work efficiently. Start by building a strong foundation in generative AI's real-world applications. Underst.

edX

Fundamentos de Inteligencia Artificial

El mundo de la Inteligencia Artificial (IA) ya no es ciencia ficción. La IA está penetrando rápidamente todas las industrias e impactando cada aspecto de nuestra vida diaria. Ya seas un profesional, un ejecutivo, un emprendedor o un estudiante, comprender la IA y su impacto en nuestra sociedad es crucial y transformará tu carrera. Este progra.

Harvard University

Learning Python for Data Science

Data science is an ever-evolving field, constantly innovating with new technologies and algorithms. To thrive, you need to learn cutting-edge languages like Python. Harvard University, in collaboration with edX, offers a Professional Certificate in Learning Python for Data Science, focusing on practical applications. This program, comprising thr.

Universidad Carlos iii de Madrid

Text Analytics with Python

Text Analytics with Python | Universidad Carlos III de Madrid Delve into the essential techniques of text analytics and natural language processing (NLP) with Python. This comprehensive certificate program, "Text Analytics with Python," provided by Universidad Carlos III de Madrid via edX, emphasizes both practical and scientific approaches. On.

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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!