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.
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.
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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'
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.
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
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.
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 🙏
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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 RU-vid, 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
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.
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?
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