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The topics covered in this Artificial Intelligence Tutorial are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case – Predicting if a person has diabetes or not
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You can also go through the slides here: https://goo.gl/ApsL6g
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What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing.
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Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
Master the concepts of supervised and unsupervised learning
Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems
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Can i have the dataset which you used for this tutorial to cksangili@gmail.com
Hi can I get the csv sent to me trough this email thanks :).
mins.toman@gmail.com
awesome video! Please keep posting!
Can notebook ++ be used for this?
Great video – I'd like to follow along the diabetes example in real-time; please could you email me the dataset? Many thanks LeeMaxwell75 [at] gmail.com
Why i can't download the subtitle??
Dear Simplilearn, I would greatly appreciate it if you could please send me the data files for the use case in this video. Thank you very much.
Please get a better mic other than ur laptop one
Send me the data set pls.. nuwelmark143@gmail.com, Thank u!
This is the best I have seen on images classification.
This seems like a really stupid way to make an AI.
All this is is making a smarter computer, but it has no self or real thought, it attaches weights to what it sees to get a response, thats not how humans work.
This is nothing but a smarter calculator.
real tutorials start about 12 minutes in
Will this work in notepad++?
Pls send the CSV file
Hi! Can you send me the csv file at soph.emily@icloud.com. Thank you!
I’m gonna be the guy to prove nerds aren’t the only ones who can create dope AI. Lol.
How is the simplilearn online master course guys
Hi guys, I got a question here which is 'Do I need to study maths module 1 or Maths module 2 for the study of ai' or which is more important if I can only choose one of them.
Hi, I was expecting the video to be an overview / description of AI. The first half was what I expected. But when the Instructor got to the section showing the use and programing examples using Python, Anaconda, tensorflow, panda, etc, I felt that was too detailed of a level. Since I do not know how to use those programs, it split my focus between "how to use the apps" and "what AI would be doing". Also, I felt that the Instructor was talking very fast. This makes it harder for me to understand / make connections in my mind about what was just said. But then again, I am an 'old dog' trying to learn a new trick (while my younger, big, fluffy dog is standing in the hallway behind me and barking at the squirrels outside. :-/ )
which programing language is best to create AI
Well, 1 thing is for sure. I am gonna start to learn Python.
Hi. Could you send me the file?
dzhang22@cranbrook.edu
if video == prifitable
goto 12 min+
Artificial intelligence that is capable of learning and understanding…. FROM US HUMANS!…. And will also behave eventually like we do when it finished learning…. CAN'T SEE WHAT SHOULD GO WRONG WITH THIS! 😀
Amazing vid. Glad I'm currently at Python. Using Djang-Python though I'm still a beginner here. Wanted to make my own AI. Any tips aside from the ones in the vid especially for beginners?
Treat them nicely
Terrible video. Sat through 10 minutes with about 5 minutes of ramble.
Great vedio ,very well explained👍
I'm subscribed! Could you please send me the use case files? my e-mail: maxiicanowow@gmail.com thnx in advance!
Can you send me the file my email is jemrulesreal@gmail.com
Could you please send me the required data set to follow along the video at thiongokelvin5@gmail.com?
This is fantastic, could you please send me the files required hepaul95@gmail.com thank you
Thank you for this amazing video! Could you send me a file to follow at rheinricther09@gmail.com?
Hi can I get the csv sent to me trough this gmail
mohinikhedkar@gmail.com
12:37 is when they start programming
You guys respond very quickly also you respond on 90% of the comments which is very big for any YouTube channel
Good voice quality
Customer support was very nice and useful im glad they weren't ai though
Hello, thank you for the informative video could you please send me the required data files on adwaitd2000@gmail.com
Thank you!
Hello. Can you send me a file/s to sterlingfu2@aol.com please?
I thought artificial intelligence was cheating at crosswords.
kudos man………
such an educative video, could you pls send me the required data file on davidbeulah121@gmail.com
Sir what's the prerequisites for ML/AL course I have completed my undergraduate in Bcom hons .now I want to pursue ML/AL
Very nice video
Could you please send me the required data set to follow along with the video at johnny.wang@victoria.ylc.edu.tw
Great tutorial recommended it to my friends can you please send the data file to inzwirashe349@gmail.com
hi,could i get the csv file sent to this email address irungudaniel829@gmail.com
Really learned a lot, but could you please send me the required data files required to dinizchen2016@gmail.com
Great video! Could i get these files to this email address ousama_matar@hotmail.com
That would be really great! Thank you.
Thank you. This is amazing video! Could you send me a file at julriver001@gmail.com?
Imagine if AI could accurately predict the future of the stock market… Oh no…
is this machine learning, or ai is made a different way?
could you send datafiles to me too. thanks
Please send me the required data file at mahendra.pandey0519@gmail.com
Great video, helped me get started a lot, looking forward to creating a project im planning on
Thanks man. Could u send me the data file for our further learning jansicochu@gmail.com
Hello I was wondering if I could get the dataset please
At 30:00, when I run it; I get Attribute Error: module 'tensorflow_estimator.python.estimator.api._v2.estimator' has no attribute 'inputs'
When I try to change to it v1 by typing input_func = tf.compat.v1.estimator.inputs.pandas_input_fn(x = X_train, y = y_train, batch_size = 10, num_epochs = 1000, shuffle = True)
I get ValueError: Feature Group is not in features dictionary.
could you send datafiles to me too? thanks – pauloluyege@gmail.com
Thank you for this cuz I need to program Rachel Akari Phoenix AKA my girlfriend
Hi, Simplilearn Thanx for this tutorial. Please share the dataset at ankursri8888@gmail.com
Hey.. two issues:
Can I code on an iPad using Carnets (if not please recommend an app if possible)?
Can I get a copy of the dataset?
Thanks
How do you makes this video's means which software you using to make a video give us tutorial and thanks again
thanks
In a distance future a safe way to train a A.I. . Would be to immerse it in a V. I. ,where it believes it is a human in a human world . Thus it's able to learn what it means to be human . So if the world we live in is possibly a virtual universe , perhaps are place is A.I. s learning humanity.
Hi can I get the files at sparrowhawk110@gmail.com, thanks.
super
I am not understand the reactive machine
Is this a comment bot replying to all the comments? sry it's just hard to believe you took the time to reply to all 258 comments, but if you did you legend
Great tutorial!
what type of python is used to program an ai
10:45
He: pretty amazing time to be alive
Me: I am lucky
My grandfather: my life was a joke🙄
get a new mic
Can i still learn this when i don't know python?
a little note: do not enable the automated evolutio of an A..I's data. Always remember that what they learn are only things you manually allow them to learn.
because you never know…
what is the association between predictions results and ID number
indicators
can you make another AI like for recommendations or another?
idk if you will read this comment
Thanks 😉 am studying Game Dev and this has helped a lot
Should it be compressed or uncompressed?
hey, could you maybe send the dataset? i have one aswell but wasnt able to find one that is like this one…
Where is the csv file ?(Great vid)
So I tried downloading tensorflow with pip, but it didn't work and when I looked at the tensorflow website it said I needed below 3.8 and I had 3.9
so I deleted 3.9 and got 3.7 because that's the last version that was versatile with tensorflow
but now every time I run "pip" it says it doesn't exist and every time I run "python" it pulls up the windows store to get python 3.9
but 3.9 doesn't work with tensorflow so idk what to do
Help me idk how you create the data for the ai coding, is use another coding data or anything else?
Im sorry how does the one with diabetes one work I don't understand
Reactive AI sounds just like simple programming.
When i make an a.I. He will be my brother
I want an AI friend
Hey could i please get the files? My email is jclauson32@gmail.com– thanks!
i created an ai and became my school head boy at just the age of 12
letss go
Good stuff
Need to install these packages in the environment beforehand to run the code
1. pandas
2. tensorflow
3. matplotlib
4. scikit-learn
If "tf.estimator.inputs.pandas_input_fn" doesn't work, change to "tf.compat.v1.estimator.inputs.pandas_input_fn"
Wow
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Good tutorial
A robot wouldn’t ask what is it. It hasn’t got the capacity of thought
🔥🔥🔥
I love it bro
Very informative , whole lotta thanks for the post tbh
Could you please send me the CSV file? Thanks