Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn

Показать описание

This Machine Learning tutorial video is ideal for beginners to learn Machine Learning from scratch. By the end of this tutorial video, you will learn why Machine Learning is so important in our lives, what is Machine Learning, the various types of Machine Learning (Supervised, Unsupervised and Reinforcement learning), .

This Machine Learning tutorial will cover the following topics:
1. Life without Machine Learning ( 01:06 )
2. Life with Machine Learning ( 02:29 )
3. What is Machine Learning ( 04:35 )
4. Machine Learning Process ( 05:27 )
5. Types of Machine Learning ( 06:14 )
6. Supervised Vs Unsupervised ( 09:32 )
7. The right Machine Learning solutions ( 10:35 )
8. Machine Learning Algorithms ( 13:33 )
9. Use case - Predicting the price of a house using Linear Regression ( 23:24 )

What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse

- - - - - - - -

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Learn More At:

- - - - - - -

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Рекомендации по теме

Комментарии

Machine Learning is the Future and yours can begin today. Comment below with you email to get our latest Machine Learning Career Guide. Let your journey begin.

Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you.

Thanks for watching the video. Cheers!

SimplilearnOfficial

Wow, I was wanting this type of video only, in which I could revise all the basics of Machine Learning!
Thank you so much for uploading this

muskanbhagat

Thank you simplylearn for explaining Machine learning in the most precise and ambient manner. I have been wanting to learn machine learning since a long back and today i scouted for your video. this seriously helped me learn The basics of machine Learning. Once again Thank you so much

shripatiacharya

Hey, this video really made me catch my understanding of what is machine learning is... I referred to ton's of different video's I am able to understand kind of, but not meaningfully, but this video gave me the complete meaning of machine learning to understand deep practically.

solomonrajkumar

In the supervised learning with labeled data input, it means the model will only know how to predict which fruit it is? (based on the fruit example) - If you give it a vegetable it will fail? and thus when it isn't really learning until you update your model again to tell it these are vegetables. Is that correct?

Motivos

Absolutely awesome,
Thanks for the video, would be great to see next implementation of any ML algorithm .

roshanr.khamkar

Hello, how are you?
From my point of view the video is very good and quite didactic.
However, if you want to reach an even wider audience, considering that in most developing countries education is precarious and a significant part of the potential audience does not speak English, I suggest:
1. To associate the subtitles, even if in English, as this would allow those who do not master the language to provide the translation of the entire text or parts of them not well understood precisely by the lack of mastery;
2. That the narrator speaks in a more leisurely way, as this would also benefit the audience that has not yet mastered the language.
Thanks for the attention, thanks for the video and I wish all success to the Simplilearn team!

eduardomartins

I must thank SL team for the video
. Absolute helpful for a layaman to understand. I have queries regarding the course. let me know how shall I contact

somritamaity

i must say the way you explained this topic, i m impressed thank you . simplilearn is really simple

msdl

Nice tutorial.. Kindly upload more related to implementation demo of supervised and unsupervised learning.

poojamishra

Thank you so much! This was very informative, and very well explained. :)

sonianaidu

Brilliant presenatation. Never seen such an incredible clarity
. Is it possible to get a copy your presentation slides. Many thanks. Its a briilaint video and I want to preset it to my staff .

sunnyj

Good Video. I could understand which algorithm Ineed to use for our solution. That is explained in this video easily. Super..

dhamodharansubramaniam

if the error value, in the end, is 25 then what this means how much the house cost?

arsalanriaz

Thanks one more time for the richful tutorial and the explanations provided.

I did the exercise consisting to predict the prices of the house from th 'boston housing' dataset. It works as explained in the video. I just have few questions concerning the training, test and prediction. Indeed, what guide the right choice of the train/test_size and random_state values? In my code I changed the test_size value to 0.5 and the random_state to 7, I got a nice prediction for arrays [3] & [5] but not for array[9] for example! And when I compute the mean squared value, I get 33.36. Can such a value be acceptable? Thank you again for all.

AutoCarNation

Thank you so much, sir, I understood very well, Good teaching method.

crazypetskiduniya

Great video, this is really helpful
Thank you!!

naila

Great video thank you ! One question : In the Mail filtering first example of the Naive Bayes theorem, what event does A refers to ? Thanks.

snooze

What are the data points required for trading? KNN seems to be limited by two data points. X and Y axis and you need to give large data samples?
Decision tree requires you rewrite the code altogether? I'm asking this as my signal comes from a 3rd party indicator that runs on mql. But I think linear regression is a more direct computation since data extract is from an indicator from mql.

davidaw

Awesome video. I'm studying Data Science, but I didn't get to the part where we learn about Machine Learning. The curiosity made me watch this and it is really clarifying

arthur-nero

Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn

Python Machine Learning Tutorial (Data Science)

Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2024 | Simplilearn

Machine Learning Tutorial Part - 1 | Machine Learning Tutorial For Beginners Part - 1 | Simplilearn

Machine Learning Full Course - Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka

Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn

Machine Learning Explained in 100 Seconds

Einführung in Machine Learning, Machine Learning Tutorial #1

Reinforcement Learning Course - Full Machine Learning Tutorial

Build a Udemy Course Recommendation System | Machine Learning & AI Project

Machine Learning Tutorial Python -1: What is Machine Learning?

What is Machine Learning? | Machine Learning Basics | Machine Learning Tutorial | Edureka

Build your first machine learning model in Python

Machine Learning Algorithms | Machine Learning Tutorial | Data Science Training | Edureka

Supervised vs Unsupervised vs Reinforcement Learning | Machine Learning Tutorial | Simplilearn

Machine Learning Full Course | Learn Machine Learning | Machine Learning Tutorial | Simplilearn

11. Introduction to Machine Learning

Machine Learning: Tutorial prático usando apenas o navegador (é sensacional!!!)

Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algorithms | Simplilearn

All Machine Learning Models Explained in 5 Minutes | Types of ML Models Basics

Machine Learning Crash Course-2 Hours | Learn Machine Learning | Machine Learning Tutorial | Edureka

Machine Learning Course for Beginners

Machine Learning Tutorial | Learn Machine Learning | Intellipaat

Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn

Real-World Python Machine Learning Tutorial w/ Scikit Learn (sklearn basics, NLP, classifiers, etc)