Machine Learning courses

1334 Courses

Udemy

Comprehensive AI & Machine Learning Bootcamp

Embark on a transformative journey with the Comprehensive AI & Machine Learning Bootcamp. Designed meticulously by Udemy, this program takes learners from HTML basics to mastering advanced Python. Perfect for those passionate about Artificial Intelligence, the curriculum encompasses a wide range of topics including TensorFlow, Data Science, Jav.

Udemy

The Data Science Course: Complete Data Science Bootcamp 2024

Discover a complete training path in Data Science with the Data Science Bootcamp 2024 offered by Udemy. This extensive course covers essential topics from basic mathematics and statistics to advanced concepts in Python programming, machine learning, and deep learning. Whether you're starting your journey in data science or looking to.

Udemy

OpenAI & ChatGPT API's: Expert Fine-tuning for Developers

Join the "OpenAI & ChatGPT API's: Expert Fine-tuning for Developers" course to delve into the fascinating world of AI language models. Offered by Udemy, this program guides developers through the advanced techniques of fine-tuning the ChatGPT API, ensuring optimal performance in integrating AI into business applications. Enhance your skills i.

Udemy

Deep Learning with TensorFlow 2.0

Advance your technical skills with our specialised course on Deep Learning with TensorFlow 2.0. This course offers a comprehensive guide to building sophisticated deep learning algorithms, immersing you in the world of neural networks. Learn from Udemy's seasoned instructors through hands-on projects and real-world business case applications..

Udemy

Inteligência Artificial e Machine Learning: O Guia Completo

Descubra como iniciar sua jornada no mundo da Inteligência Artificial e Machine Learning com este guia abrangente. Se você quer estudar IA e não sabe por onde começar, este curso oferecido pela Udemy é sua solução completa. Ganhe expertise teórica e prática e impulsione sua carreira em tecnologia. Explore tópicos fundamentais e avançado.

Udemy

Data Science Real World Projects in Python

Udemy offers a comprehensive course, "Data Science Real World Projects in Python," designed for aspiring Data Scientists and ML Engineers. Dive into practical projects across AI, ML, NLP, and Time Series Analysis to gain hands-on experience and enhance your resume. Explore various Data Science methodologies and techniques through systematically.

Udemy

Python For Beginners - Python Bootcamp - Python Programming

Udemy

QC101 Quantum Computing & Intro to Quantum Machine Learning

QC101 Quantum Computing & Intro to Quantum Machine Learning Embark on a comprehensive journey into the realm of quantum technologies with the QC101 course, designed to introduce you to the fundamental math concepts driving Quantum Computing, Cryptography, and Quantum Machine Learning. Enhance your coding prowess using Python, Q#, and Qiskit,.

Udemy

Data Science Real-World Case Studies - Hands On Python

Enhance your data science skills by working on practical projects in the fields of Artificial Intelligence, Machine Learning, Natural Language Processing, and Time Series analysis. This hands-on course, provided by Udemy, empowers you with the expertise required to embark on a career as a Data Scientist or Machine Learning Engineer. Perfect fo.

XuetangX

Introduction to Artificial Intelligence

This course offers a comprehensive introduction to the fundamental concepts, history, and algorithms of Artificial Intelligence. Participants will gain insights into key AI terminologies such as data processing, machine learning, deep learning, and neural networks. Additionally, the course covers practical AI applications in areas like classifi.

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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!