mp4 [FTUForum.com] [UDEMY] Deep Learning Plunge into Deep Learning [FTU]
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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 252.01 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 123.89 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 113.73 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 104.41 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 88.13 MB
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11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4 99.03 MB
12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4 107.16 MB
12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4 148 MB
12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 91.1 MB
12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4 140.68 MB
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10_-_Artificial_Neural_Networks/22_-_Perceptron_-_How_it_works.mp4 57.64 MB
06_-_Support_Vector_Machines/15_-_Support_Vector_Machines_Introduced.mp4 67.69 MB
04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4 68.76 MB
08_-_Association_Detection/18_-_Association_Rules_Learning.mp4 71.87 MB
03_-_Classification_-_A_form_of_supervised_learning/07_-_Bias_Variance_Trade-off.mp4 73.82 MB
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Get Bonus Downloads Here.url 183 B
~Get Your Files Here !/1 - Setting Up Your Analysis Environment/1 - Install Python and Jupyter Notebook.html 214 B
~Get Your Files Here !/1 - Setting Up Your Analysis Environment/1 - Mac.pdf 1.52 MB
~Get Your Files Here !/1 - Setting Up Your Analysis Environment/1 - Windows.pdf 929.75 KB
~Get Your Files Here !/1 - Setting Up Your Analysis Environment/2 - Setting up ChatGPT and GPT 4.mp4 6.87 MB
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11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4 99.03 MB
12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4 107.16 MB
12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4 148 MB
12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 91.1 MB
12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4 140.68 MB
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0. Websites you may like/[CourseClub.Me].url 122 B
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01 - Getting Started/001 Overview.pdf 476.76 KB
01 - Getting Started/001 What is Algorithmic Trading Course Overview.mp4 38.26 MB
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Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/018 Analyzing the Paper.mp4 279.17 MB
Visit Coursedrive.org.url 124 B
Modern Reinforcement Learning- Deep Q Learning in PyTorch/ReadMe.txt 220 B
Modern Reinforcement Learning- Deep Q Learning in PyTorch/Visit Coursedrive.org.url 124 B
Modern Reinforcement Learning- Deep Q Learning in PyTorch/01 Introduction/001 What You Will Learn In This Course.en.srt 7.12 KB
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Lesson 7 Encoder–Decoder Networks, Attention, Transformers, and Neural Machine Translation/003. 7.2 Programming Example Neural Machine Translation with TensorFlow.mp4 108.81 MB
Lesson 1 Deep Learning Introduction/001. Topics.mp4 1.17 MB
Lesson 1 Deep Learning Introduction/002. 1.1 Deep Learning and Its History.mp4 17.56 MB
Lesson 1 Deep Learning Introduction/003. 1.2 Prerequisites.mp4 15.83 MB
Lesson 2 Neural Network Fundamentals I/001. Topics.mp4 6.05 MB
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Get Bonus Downloads Here.url 182 B
~Get Your Files Here !/1 - Introduction.mp4 9.7 MB
~Get Your Files Here !/10 - Assigning Values.mp4 21.11 MB
~Get Your Files Here !/11 - Value Membership Deleting and Filtering.mp4 15.57 MB
~Get Your Files Here !/12 - Nested Dict and Transposition.mp4 23.48 MB
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01. Part 1 Introduction/01_01-Introduction to Scalable Machine Learning.mp4 50.32 MB
01. Part 1 Introduction/01_02-Some Machine Learning Background.mp4 55.9 MB
01. Part 1 Introduction/01_03-Algorithms for Large Scale Learning.mp4 90.49 MB
02. Part 2 Hadoop And Friends/02_01-Overview of Hadoop and Current Big Data Systems.mp4 62.08 MB
03. Part 3 Programming for Data Flow Systems/03_01-How Programming for Data Flow Differs.mp4 72.64 MB
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06.Neural Network Components in ENCOG for .NET/08.Demo - XOR problem with ENCOG 3 in C#.wmv 12.35 MB
09.Case Studies (Classification and Regression Task)/10.Demo - Case Study 1 - Evaluate Network.wmv 9.17 MB
09.Case Studies (Classification and Regression Task)/15.Demo - Case Study 2 - Normalize.wmv 7.6 MB
03.Machine Learning Tasks/02.Classification.wmv 7.57 MB
04.Introduction to Neural Networks/11.Model Training.wmv 6.82 MB
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02. Introducing Machine Learning/02_02-Separate training data from test data.mp4 15.49 MB
05. Performing Supervised Learning Tasks/05_06-Identify data clusters.mp4 8.46 MB
05. Performing Supervised Learning Tasks/05_01-Calculate the logistic sigmoid function for a data set.mp4 7.21 MB
04. Determining Functions that Generate Data/04_02-Find a time series that fits given data.mp4 6.67 MB
05. Performing Supervised Learning Tasks/05_05-Measure predictor function performance.mp4 6.6 MB
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Bayes Classifier (19) - Machine Learning 10-715 Fall 2015-jVjecjAuF-Y.mp4 205.23 MB
Big data and scalability (21) - Machine Learning 10-715 Fall 2015-ax_Oao-IPDk.mp4 1.1 GB
Clustering (5) - Machine Learning 10-715 Fall 2015-mXXk77sSWAs.mkv 1.35 GB
Clustering (6) - Machine Learning 10-715 Fall 2015-0yYh4HKNymo.mp4 1002.41 MB
Conditional Random Fields and Exponential Families (17) - Machine Learning 10-715 Fall 2015-Yq_CLto7IWY.mp4 12.25 GB
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4. Conteúdo complementar/3. Prática Passo a passo de um algoritmo não supervisionado (K-Means) - Parte 2.mp4 62.78 MB
4. Conteúdo complementar/4. Prática Passo a passo de um algoritmo supervisionado (Linear Regression).mp4 61.42 MB
3. Criando o modelo/6. Prática Feature e Model selection.mp4 45.25 MB
1. Planejando o trabalho/8. Prática One hot encoding e dicas sobre transformações.mp4 44.25 MB
1. Planejando o trabalho/1. Introdução.mp4 44.02 MB
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