Students and advanced learners can benefit from a Machine Learning tutorial. Its purpose is to get students up to speed quickly. It assumes that students are familiar with basic concepts of artificial intelligence, Python, Scikit–learn, NumPy, and Scikit. This tutorial assumes students are familiar with Python and other programming languages such as NumPy and Matplotlib. This tutorial can also be helpful for students interested in machine-learning but don’t have the time or resources to enroll in a college course.
Josh Gordon's tutorial
Josh Gordon's tutorial about machine learning is for you. The book is organized in logical stages and assumes that the reader already knows basic linux administration and Python. While it's not designed for absolute beginners or beginners, it's an excellent resource to programmers who are interested in Machine Learning. Listed below are some of the best resources to use for this book.
RStudio
The RStudio machine-learning tutorial will teach you how to create models and perform predictive analyses using R programming language. This course provides hands-on learning material that includes class notes, lectures, and quizzes. The course focuses exclusively on machine-learning techniques, including classification, regression, and derivatives. Through extensive case studies, the course will give you a hands-on introduction into R machine learning.
Iris Data, which has an overviewable attribute for each species, can help you get an idea about how to make a machinelearning algorithm. Numerical classes are another option for your target variable. You'll learn about a range of machine learning algorithms.
ML Crash course by Google
Google's Machine Learning Crash course offers a complete tutorial that covers the basics of ML. It includes videos lectures, real-world case studies and hands-on exercises. The 15-hour course includes over 40 exercises. The course teaches students how to create real-world ML systems and how to use TensorFlow's machine learning platform. The Crash Course includes a GPU notebook.
Google offers a free ML Crash course. This is a great place to start learning about ML. Short videos, interactive simulations and hands-on activities are all part of the course. Students will be able solving a variety ML issues using TensorFlow, Python. This course will provide an overview of machine learning principles and enable participants to create their own models and participate in Kaggle competitions.
FAQ
Is Alexa an artificial intelligence?
Yes. But not quite yet.
Amazon developed Alexa, which is a cloud-based voice and messaging service. It allows users to communicate with their devices via voice.
The technology behind Alexa was first released as part of the Echo smart speaker. However, since then, other companies have used similar technologies to create their own versions of Alexa.
These include Google Home as well as Apple's Siri and Microsoft Cortana.
AI: Why do we use it?
Artificial intelligence refers to computer science which deals with the simulation intelligent behavior for practical purposes such as robotics, natural-language processing, game play, and so forth.
AI is also known as machine learning. It is the study and application of algorithms to help machines learn, even if they are not programmed.
There are two main reasons why AI is used:
-
To make life easier.
-
To do things better than we could ever do ourselves.
A good example of this would be self-driving cars. AI can take the place of a driver.
What are some examples of AI applications?
AI is used in many fields, including finance and healthcare, manufacturing, transport, energy, education, law enforcement, defense, and government. Here are a few examples.
-
Finance - AI already helps banks detect fraud. AI can identify suspicious activity by scanning millions of transactions daily.
-
Healthcare - AI can be used to spot cancerous cells and diagnose diseases.
-
Manufacturing – Artificial Intelligence is used in factories for efficiency improvements and cost reductions.
-
Transportation - Self-driving vehicles have been successfully tested in California. They are currently being tested around the globe.
-
Utilities use AI to monitor patterns of power consumption.
-
Education - AI is being used for educational purposes. Students can, for example, interact with robots using their smartphones.
-
Government - Artificial Intelligence is used by governments to track criminals and terrorists as well as missing persons.
-
Law Enforcement – AI is being used in police investigations. Investigators have the ability to search thousands of hours of CCTV footage in databases.
-
Defense - AI is being used both offensively and defensively. In order to hack into enemy computer systems, AI systems could be used offensively. Defensively, AI can be used to protect military bases against cyber attacks.
How does AI impact the workplace
It will change how we work. We can automate repetitive tasks, which will free up employees to spend their time on more valuable activities.
It will help improve customer service as well as assist businesses in delivering better products.
This will enable us to predict future trends, and allow us to seize opportunities.
It will enable companies to gain a competitive disadvantage over their competitors.
Companies that fail AI adoption will be left behind.
Which AI technology do you believe will impact your job?
AI will eventually eliminate certain jobs. This includes jobs such as truck drivers, taxi drivers, cashiers, fast food workers, and even factory workers.
AI will create new jobs. This includes business analysts, project managers as well product designers and marketing specialists.
AI will make existing jobs much easier. This includes doctors, lawyers, accountants, teachers, nurses and engineers.
AI will make existing jobs more efficient. This includes agents and sales reps, as well customer support representatives and call center agents.
What is the most recent AI invention
The latest AI invention is called "Deep Learning." Deep learning is an artificial intelligent technique that uses neural networking (a type if machine learning) to perform tasks like speech recognition, image recognition and translation as well as natural language processing. Google was the first to develop it.
The most recent example of deep learning was when Google used it to create a computer program capable of writing its own code. This was accomplished using a neural network named "Google Brain," which was trained with a lot of data from YouTube videos.
This allowed the system to learn how to write programs for itself.
IBM announced in 2015 the creation of a computer program which could create music. Also, neural networks can be used to create music. These are known as NNFM, or "neural music networks".
Who invented AI?
Alan Turing
Turing was created in 1912. His mother was a nurse and his father was a minister. He was an excellent student at maths, but he fell apart after being rejected from Cambridge University. He learned chess after being rejected by Cambridge University. He won numerous tournaments. He worked as a codebreaker in Britain's Bletchley Park, where he cracked German codes.
1954 was his death.
John McCarthy
McCarthy was born on January 28, 1928. Before joining MIT, he studied maths at Princeton University. The LISP programming language was developed there. By 1957 he had created the foundations of modern AI.
He died in 2011.
Statistics
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
- In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
External Links
How To
How to build an AI program
To build a simple AI program, you'll need to know how to code. Many programming languages are available, but we recommend Python because it's easy to understand, and there are many free online resources like YouTube videos and courses.
Here's a brief tutorial on how you can set up a simple project called "Hello World".
To begin, you will need to open another file. For Windows, press Ctrl+N; for Macs, Command+N.
Type hello world in the box. Press Enter to save the file.
For the program to run, press F5
The program should display Hello World!
This is just the start. These tutorials can help you make more advanced programs.