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AI Sciences
United States
Registrace 7. 10. 2018
AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere.
We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.
We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience.
We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.
We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience.
Geometric Transformations in Computer Vision A Comprehensive Guide
Course link: aicourse.thinkific.com/courses/fundamentals-of-computer-vision
In this comprehensive guide, we dive deep into the world of geometric transformations in computer vision. Explore how spatial transformations, such as translation, rotation, scaling, and more, are used to manipulate images and improve computer vision models. Whether you’re a beginner or a seasoned professional, this video will equip you with the knowledge to master these essential techniques. With hands-on examples and clear explanations, you'll gain a strong foundation in spatial transformations and their applications in real-world computer vision tasks.
✅ Stay Connected to Us.
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👉 LinkedIn: www.linkedin.com/company/ai-sciences
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✅ For Business Inquires: contact@aisciences.io
=============================
✅ Important Python Projects:
👉 Get a look at our course on data science and AI here:
bit.ly/3thtoUJ
✅ Recommended Playlists:
👉 Artificial Intelligence
czcams.com/play/PLVgEzPHodXi0tO_iLwoZcEXiFPekTZlyj.html
👉 Machine Learning
czcams.com/play/PLVgEzPHodXi01AWPo06GOsM-ba_e1PJ1l.html
✅ Other Videos You Might Be Interested In Watching:
👉 Simplest Password Cracker Using Python | Tips and Tricks | Most Easy czcams.com/video/EmwmbahsM_E/video.html
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👉 Question Answering Bot | AI Based | with Hugging Face Transformers | Python
czcams.com/video/s4rV6Wyp23A/video.html
=============================
✅ About AI Sciences.
AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere.
We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.
We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience.
🔔 Subscribe To our Channel For More Content of Data Science, Machine Learning, and AI: www.youtube.com/@AISciencesLearn
=================================
#predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners
Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research.
Copyright Notice: This video and my CZcams channel contain dialog, music, and images that are the property of AI Sciences. You are authorized to share the video link and channel and embed this video in your website or others as long as a link back to my CZcams Channel is provided.
© AI Sciences
In this comprehensive guide, we dive deep into the world of geometric transformations in computer vision. Explore how spatial transformations, such as translation, rotation, scaling, and more, are used to manipulate images and improve computer vision models. Whether you’re a beginner or a seasoned professional, this video will equip you with the knowledge to master these essential techniques. With hands-on examples and clear explanations, you'll gain a strong foundation in spatial transformations and their applications in real-world computer vision tasks.
✅ Stay Connected to Us.
👉 Twitter: AISciencesLearn
👉 Facebook: AISciencesLearn
👉 LinkedIn: www.linkedin.com/company/ai-sciences
👉 Website: www.aisciences.io
✅ For Business Inquires: contact@aisciences.io
=============================
✅ Important Python Projects:
👉 Get a look at our course on data science and AI here:
bit.ly/3thtoUJ
✅ Recommended Playlists:
👉 Artificial Intelligence
czcams.com/play/PLVgEzPHodXi0tO_iLwoZcEXiFPekTZlyj.html
👉 Machine Learning
czcams.com/play/PLVgEzPHodXi01AWPo06GOsM-ba_e1PJ1l.html
✅ Other Videos You Might Be Interested In Watching:
👉 Simplest Password Cracker Using Python | Tips and Tricks | Most Easy czcams.com/video/EmwmbahsM_E/video.html
👉 Build Facebook's Wav2Vec2 Model For Speech To Text Application | Easy Python Tutorial
czcams.com/video/t_qDAqUfqhY/video.html
👉 Fake Currency Detection Using Logistic Regression Model | Python | Tutorial For Beginners
czcams.com/video/dJO69JzldmQ/video.html
👉 Question Answering Bot | AI Based | with Hugging Face Transformers | Python
czcams.com/video/s4rV6Wyp23A/video.html
=============================
✅ About AI Sciences.
AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere.
We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars.
We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience.
🔔 Subscribe To our Channel For More Content of Data Science, Machine Learning, and AI: www.youtube.com/@AISciencesLearn
=================================
#predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners
Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research.
Copyright Notice: This video and my CZcams channel contain dialog, music, and images that are the property of AI Sciences. You are authorized to share the video link and channel and embed this video in your website or others as long as a link back to my CZcams Channel is provided.
© AI Sciences
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this is a qr code
Is there any base paper for stress level detection
Yes I hvv
Hi this code not working on New Outlook app can you send me any other approach that works on New Outlook app
Thanks a lot for your question. it will work you need to allow the permission. After that it will work in your new outlook app.
Recommender systems are such a game-changer for personalization. As an AI enthusiast, I'm fascinated by how they can analyze user behavior and preferences to deliver tailored recommendations.
Thanks a lot for your question. it based on the training. The models are trained on the basis of your search. It save your search and train the system according to this.
Can u pls tell me that ur prediction is for how many days/years? & where to look for it in the video?
Thanks a lot. Its for the remaining days of 2022. Moreover you can see at the end of the video or you can follow our website. The link is in the description of the video.
dataset???
colab.research.google.com/drive/1C8m2EYPpe0FsW3kL_OBB2ZqvBSSJYIRl?usp=sharing
Hello Instructor We're reaching out to discuss strategies to promote your Udemy course. With your expertise and the course's value, we see impactful ways to boost visibility and expand your audience. Best Regards
Hello, I hope this message finds you well. I would greatly appreciate a few minutes of your time for a constructive conversation regarding your Udemy course. If possible, would you be available for a quick call? Thank you in advance for considering my request.
the output is 'no stress' whatever the input is,what should I do to solve this
Thanks for your question. first you train the model again and then try .
sir can u please provide the dataset file
www.aisciences.academy/ytube-cfd57842885
Thanks, just what I needed
Thank you for your nice way of explaining keep it up and help people with more content 😊❤
can you give these 2 images
www.aisciences.academy/ytube-dbi54975789
That's actually an amazing video and project idea! Thanks for the effort your channel is really dope.
please share dataset link.
colab.research.google.com/drive/1C8m2EYPpe0FsW3kL_OBB2ZqvBSSJYIRl?usp=sharing
can i know what algorithm is used in these code?
Nuvvu kuda IIDT lo internship chesthunnava human stress level detection
Thanks a lot for your question. Yes navie based is used
box,lable,count = cv.detect_common_objects(image) output = draw_bbox(image,box,lable,count) plt.imshow(output) lable.count('cars') error Traceback (most recent call last) Cell In[24], line 4 1 # now we want to draw a bounding box (bbox) around the car and truck objects: 2 # common object detectors available in CVlib ----> 4 box,lable,count = cv.detect_common_objects(image) 5 output = draw_bbox(image,box,lable,count) 6 plt.imshow(output) File ~\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.12_qbz5n2kfra8p0\LocalCache\local-packages\Python312\site-packages\cvlib\object_detection.py:125, in detect_common_objects(image, confidence, nms_thresh, model, enable_gpu) 123 if initialize: 124 classes = populate_class_labels() --> 125 net = cv2.dnn.readNet(weights_file_abs_path, config_file_abs_path) 126 initialize = False 128 # enables opencv dnn module to use CUDA on Nvidia card instead of cpu error: OpenCV(4.10.0) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\darknet\darknet_io.cpp:705: error: (-215:Assertion failed) separator_index < line.size() in function 'cv::dnn::darknet::ReadDarknetFromCfgStream'
ai hai
Hello brother can you send me dataset
www.aisciences.academy/ytube-wfp58870991
Thanks good intro of the whole subject, just what I needed❤
Thanks bro, but what if I want to put some signatures i have created in outlook?, how can i show it in the mail
Thanks a lot for your question. The signature depend on the internal setting of the email. You have to put signature into your email then it will work.
👍👌
Thankyou sir
i create binance api key also gave it all permissions still goit api error
Thanks a lot for your question. Sometimes it happened. Again do the process. You can also send what’s it showing may be then we can help you.
evening after downloading the stress.csv file its showing no file found i useed the medium notepad
Thanks a lot for your question. The file is not downloaded correctly so that’s why it happened. Download the correct file and then use this file.
Hello sir how we can done this process under dataset
Thanks a lot for your question. we can do this under the dataset. Actually what you want to do can you more elaborate this.?
sir pls provide the csv file , its not there in github repo
www.aisciences.academy/ytube-wfp58870991
dataset not available mam
www.aisciences.academy/ytube-sld59538774
Cell In[19], line 2 1 sentiments = SentimentIntensityAnalyzer() ----> 2 data["Positive"] = [sentiments.polarity_scores(i)["pos"] for i in data["verified_reviews"]] 3 data["Negative"] = [sentiments.polarity_scores(i)["neg"] for i in data["verified_reviews"]] 4 data["Neutral"] = [sentiments.polarity_scores(i)["neu"] for i in data["verified_reviews"]] Cell In[19], line 2, in <listcomp>(.0) 1 sentiments = SentimentIntensityAnalyzer() ----> 2 data["Positive"] = [sentiments.polarity_scores(i)["pos"] for i in data["verified_reviews"]] 3 data["Negative"] = [sentiments.polarity_scores(i)["neg"] for i in data["verified_reviews"]] 4 data["Neutral"] = [sentiments.polarity_scores(i)["neu"] for i in data["verified_reviews"]] File /opt/anaconda3/lib/python3.11/site-packages/nltk/sentiment/vader.py:366, in SentimentIntensityAnalyzer.polarity_scores(self, text) 355 """ 356 Return a float for sentiment strength based on the input text. 357 Positive values are positive valence, negative value are negative (...) 363 matched as if it was a normal word in the sentence. 364 """ how to resolve this sir? pls reply
the output is no stress every time
Thanks a lot for your question. it's may be due to your model is not trained well.
Thanks for this code. But, I am having two problems with Outlook, It is asking some one is trying to send an email on your behalf, allow or deny, and is expecting to press allow and I have to press send/receive option in outlook to send the email. How to solve these problems?
Thanks a lot for your question. it's the request generated by this code. you can use this. because when it take permission then it will automate your email system. other wise it is enable because you did not give him permission to do this.
Great video, where can we download the dataset from?
www.aisciences.academy/ytube-cfd57842885
Great job!
Can I build this system for my own dataset?
Thanks a lot for your question. yes you can make your own.
@@AISciencesLearn failed🥹
@@AISciencesLearn I tried but wer is 100% even if model make 7200 steps
Why are pending transactions slow with AI available?
Thanks a lot. they are not slow. they just need to process the data. so thats why
"Collaberative" 😂
What is the purpose of performing this action through Python code when Outlook does it all for you? Where is the value or benefit of doing it this way? Thank you 🙏
Thanks a lot. yes they allow. and secondly the benefit of this is that it will automate the system.
@@AISciencesLearn automate what? I don't see automation in this example. Thank you.
@AISciencesLearn I don't know if you might be available for a brief call I'm reaching out to discuss an exciting business opportunity to enhance your Udemy course. The goal is to increase the visibility of your course, attract a broader audience, and cultivate positive reviews. @ YAGI TEAM WW I'll be looking forward to your response Thanks
Good job Adnan, you explained it in a very simple way.
Does this work for Linux systems/Users?
Thanks a lot for your question. yes this work but according to system requirement a few changes will be required .
Sir i am confused with "data1.csv"
Thanks a lot. The data1.csv file is that file which is used as dataset.
How can i get the dataset, can you send the dataset you used?
www.aisciences.academy/ytube-cer58328456
I am a final year student at Jamhuriya University of Science and Technology, currently engaged in a pivotal final project that aims to develop an Automatic Speech Recognition (ASR) system for Somali using wav2vec 2.0. As I delve deeper into the realms of machine learning and deep learning, I find myself in need of expert guidance and mentorship. I recently came across your work on CZcams, and I am greatly impressed by your expertise in ASR systems. I believe your insights could be crucial to the success of my project. I am eager to learn from your team and am hopeful that there could be an opportunity for collaboration. Could we possibly schedule a time to discuss this in further detail? I appreciate your consideration and look forward to the possibility of working together. Best regards, Mohamed Abdiaziz
The title of this video is misleading, it doesn't perform face recognition but face detection
Thanks a lot for your concern. Face detection and face recognition are broader terms. They are not misleading as we mention that face recognition uses few-shot learning AI.
the link to the code is a retarded fishing link lol
hello sir, i'm not getting the proper output instead my output is displayed as <unk>Z<unk>Z<unk> .... please help sir what shall I do?
Thanks a lot for your question. you are using the same audio file ?. Use the same audio file and then try this. Thank you
Hello! in the below part of the code, I am having an InvalidParameterError feature = data["Genres"].tolist() tfidf = text.TfidfVectorizer(input=feature,stop_words="english") tfidf_matrix = tfidf.fit_transform(feature) similarity = cosine_similarity(tfidf_matrix) InvalidParameterError: The 'input' parameter of TfidfVectorizer must be a str among {'content', 'filename', 'file'}. Got ['Reality TV'. (...) How can I resolve it?
Thanks a lot for your question. you got this error because your input parameters is not a str. Change your input into str then try this.
@Dataset Please
www.aisciences.academy/ytube-rfp56161918
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can we use random forest to predict foreign exchange rate?
Thanks a lot for your question. yes you can use the random forest but may be it will not perform better.
@@AISciencesLearn and what is the reason why you didn't scale the data.