If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
On this course, you will learn how AI technology and AI processes can help businesses with both human and automated business planning and decision-making. As you learn the concepts of data sources, knowledge acquisition and types of machine learning algorithms, you will develop an understanding of the process of moving from data to knowledge. You will then explore how this process can be used to inform your professional decision-making and business planning.
So you want to learn Data Science with R? Good Decision! Because R programming has various statistical and graphical capabilities. R has a huge variety of libraries to perform statistical analysis. Some most powerful visualization packages in R are ggplot2, ggvis, googleVis, and rCharts. So if you are looking for the Best Online Courses for Data Science with R, then this article will help you.
Udacity is one of the most popular MOOC-based e-learning platforms in the world. Udacity has a wide range of machine learning and data science courses. Some are free and some are paid. But in this article, I am gonna discuss all the Udacity FREE Courses on Machine Learning and Data Science. For these courses, You don't need to pay a single buck.
Are you looking for Best Free Coursera Courses 2021? You can earn a Coursera Certificate with Coursera free courses by applying for Coursera scholarship and by doing Coursera paid courses. You are going to get a 7-day free trial on Coursera when you join and start your very first subscription to do a Coursera Specializations for free. If you do not cancel your free trial you will be automatically transferred to paid subscription on the 8th Day. You can continue your Coursera Classes either by using Coursera App on mobile or on any other devices. This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Learn and launch your career in Data Science with these best Coursera courses. A nine-course introduction to data science developed and taught by leading instructors. Develop programs to gather, clean, analyze, and visualize data. You will get new insights into your data. Learn to apply data science methods and techniques, and acquire analytical skills. This program is designed to take beginner learners to job readiness in about eight months. Design, develop and manage cloud solutions to drive business objectives. Learn to solve real business problems. Master Excel to add a highly valuable asset to your employability portfolio.
Artificial intelligence (AI) is here, and its benefits are seemingly limitless. There is a flip side though--there always is. AI experts, and those involved with AI, are concerned that if we do not proceed with caution, some of the strange things predicted in science-fiction movies such as 2001: A Space Odyssey may be more truth than fiction. Elon Musk told The New York Times that his experience with AI at Tesla allows him to say with confidence, "We're headed toward a situation where AI is vastly smarter than humans." He adds, "That doesn't mean everything goes to hell in five years. It just means that things get unstable or weird."
I've recently launched my online course about Supervised Machine Learning in Python. In this post, I'll explain to you 5 reasons it's worth joining it. In my experience as a Data Scientist and Physicist I've understood that, sometimes, practice is more important than theory. Data Science is a very practical discipline and a data scientist is like a craftsman working data just like wood. He needs to know how the wood responds to his tools, but his job is more practical than theoretical.
This is a more traditional course than the others on this list, so if you like structured learning, you will find this course better suited to you. In this course, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts, and terms like Machine learning, Deep learning, and Neural networks. You will also explore different issues and concerns surrounding AI, such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini-project. By the way, if you find Coursera courses and specialization useful then you should also join the Coursera Plus, a subscription plan from Coursera which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects.
A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start? The funny thing was that the path that I imagined was completely different from that one that I actually did when I was starting. I'm aware that we all learn in different ways. Some prefer videos, others are ok with just books and a lot of people need to pay for a course to feel more pressure. And that's ok, the important thing is to learn and enjoy it. So, talking from my own perspective and knowing how I learn better I designed this path if I had to start learning Data Science again.