artificial intelligence

The Best Machine Learning Tutorials

By David Jacobs 28 May, 2023 2 mins read

For students and experienced learners, a Machine Learning tutorial can be helpful. It is designed to quickly get students up to speed. It assumes that students are familiar with basic concepts of artificial intelligence, Python, Scikit–learn, NumPy, and Scikit. It assumes that students know Python and other programming languages like NumPy or Matplotlib. This tutorial is also useful for students who are interested in machine learning, but don't have time to attend college courses.

Josh Gordon's tutorial

Josh Gordon's tutorial will help you learn more about machine-learning. The book is laid out in logical steps. It assumes that you are familiar with basic Linux administration and Python. Although it is not intended for absolute beginners, it can be used as a great resource for programmers interested in Machine Learning. The best resources are listed below.

RStudio

The RStudio tutorial on machine learning will teach you how you can create models and do predictive analysis using R programming. This course provides hands-on learning material that includes class notes, lectures, and quizzes. The course focuses on the techniques of machine learning, such as linear regression, classification, and derivatives. Through the extensive case studies, you'll be able to get an in-depth introduction to R machinelearning.

Iris data can be used to get an idea of how to build a machine learning algorithm. It is a dataset that contains an overviewable attribute for each species. Numerical classes can be used for your target variable. You will also learn about a few other machine-learning algorithms.

Google's ML crash course

Google's Machine Learning Crash course covers all aspects of ML. This course includes video lectures, case studies from real life, and practice exercises. The course is 15 hours long and includes more than 40 exercises. Students will learn how to design real-world ML systems, while also using the TensorFlow machine learning platform. A free GPU notebook is also available in the Crash Course.

Google's free ML Crash Course is a great resource for learning about ML. This course includes short videos, interactive simulations, hands-on exercises, and more. Students will be able solving a variety ML issues using TensorFlow, Python. The course is designed to provide a basic understanding of the principles behind machine learning, while also enabling participants to create their own ML models and compete in Kaggle competitions.

FAQ

What industries use AI the most?

The automotive sector is among the first to adopt AI. BMW AG uses AI as a diagnostic tool for car problems; Ford Motor Company uses AI when developing self-driving cars; General Motors uses AI with its autonomous vehicle fleet.

Other AI industries are banking, insurance and healthcare.

Is Alexa an Ai?

The answer is yes. But not quite yet.

Alexa is a cloud-based voice service developed by Amazon. It allows users speak to interact with other devices.

The Echo smart speaker was the first to release Alexa's technology. However, similar technologies have been used by other companies to create their own version of Alexa.

These include Google Home and Microsoft's Cortana.

How does AI impact work?

It will change the way 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.

It will allow us future trends to be predicted and offer opportunities.

It will enable organizations to have a competitive advantage over other companies.

Companies that fail to adopt AI will fall behind.

AI is it good?

Both positive and negative aspects of AI can be seen. It allows us to accomplish things more quickly than ever before, which is a positive aspect. There is no need to spend hours creating programs to do things like spreadsheets and word processing. Instead, our computers can do these tasks for us.

People fear that AI may replace humans. Many believe robots will one day surpass their creators in intelligence. They may even take over jobs.

What are some examples AI apps?

AI is used in many fields, including finance and healthcare, manufacturing, transport, energy, education, law enforcement, defense, and government. These are just a handful of examples.

Finance - AI already helps banks detect fraud. AI can scan millions of transactions every day and flag suspicious activity.
Healthcare - AI can be used to spot cancerous cells and diagnose diseases.
Manufacturing - AI is used in factories to improve efficiency and reduce costs.
Transportation – Self-driving cars were successfully tested in California. They are currently being tested around the globe.
Energy - AI is being used by utilities to monitor power usage patterns.
Education - AI is being used for educational purposes. For example, students can interact with robots via 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 to assist police investigations. Databases containing thousands hours of CCTV footage are available for detectives to search.
Defense - AI is being used both offensively and defensively. Offensively, AI systems can be used to hack into enemy computers. Defensively, AI can be used to protect military bases against cyber attacks.

Where did AI get its start?

Artificial intelligence was created in 1950 by Alan Turing, who suggested a test for intelligent machines. He suggested that machines would be considered intelligent if they could fool people into believing they were speaking to another human.

John McCarthy wrote an essay called "Can Machines Thinking?". He later took up this idea. In 1956, McCarthy wrote an essay titled "Can Machines Think?" He described the difficulties faced by AI researchers and offered some solutions.

What is AI used today?

Artificial intelligence (AI), which is also known as natural language processing, artificial agents, neural networks, expert system, etc., is an umbrella term. It's also known as smart machines.

Alan Turing created the first computer program in 1950. He was interested in whether computers could think. He suggested an artificial intelligence test in "Computing Machinery and Intelligence," his paper. The test tests whether a computer program can have a conversation with an actual human.

In 1956, John McCarthy introduced the concept of artificial intelligence and coined the phrase "artificial intelligence" in his article "Artificial Intelligence."

There are many AI-based technologies available today. Some are easy to use and others more complicated. They range from voice recognition software to self-driving cars.

There are two main types of AI: rule-based AI and statistical AI. Rule-based uses logic in order to make decisions. For example, a bank balance would be calculated as follows: If it has $10 or more, withdraw $5. If it has less than $10, deposit $1. Statistic uses statistics to make decision. A weather forecast might use historical data to predict the future.

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)
The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (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 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)
More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)

How To

How to make Siri talk while charging

Siri can do many things, but one thing she cannot do is speak back to you. This is because your iPhone does not include a microphone. Bluetooth is the best method to get Siri to reply to you.

Here's how Siri can speak while charging.

Select "Speak when Locked" from the "When Using Assistive Hands." section.
To activate Siri, double press the home key twice.
Ask Siri to Speak.
Say, "Hey Siri."
Speak "OK"
Say, "Tell me something interesting."
Speak "I'm bored", "Play some music,"" Call my friend," "Remind us about," "Take a photo," "Set a timer,"," Check out," etc.
Speak "Done"
Say "Thanks" if you want to thank her.
If you have an iPhone X/XS or XS, take off the battery cover.
Replace the battery.
Reassemble the iPhone.
Connect the iPhone to iTunes
Sync the iPhone.
Set the "Use toggle" switch to On