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08 Recurrent Neural Networks and Language Models/Lecture 8 Recurrent Neural Networks and Language Models.mp4  745.6 MB
15 Coreference Resolution/Lecture 15 Coreference Resolution.mp4  741.09 MB
06 Dependency Parsing/Lecture 6 Dependency Parsing.mp4  721.55 MB

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0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url  377 B
0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url  328 B
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0. Websites you may like/3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url  163 B
0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url  239 B

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Get Bonus Downloads Here.url  182 B
~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4  126.7 MB
~Get Your Files Here !/1 - Introduction/2 - Before you start.mp4  65.85 MB
~Get Your Files Here !/1 - Introduction/3 - Setting up Google Colab.mp4  19.86 MB
~Get Your Files Here !/2 - Building Theoretical Concept/4 - Neurons Explained.mp4  66.63 MB

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F18 Lecture 12 - Loss functions and sequence prediction for RNNs-s4QBIBVsW18.mp4  204.71 MB
F18 Lecture 9 - Convolutional Neural Networks (Part 2)-H2B0TrpDW_M.mp4  197.84 MB
F18 Lecture 8 - Convolutional Neural Networks (Part 1)-rr1vJizA1qE.mp4  196.52 MB
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Part 02-Module 01-Lesson 06_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4  54.58 MB
Part 02-Module 01-Lesson 06_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4  50.21 MB
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01 Introduction and Outline/001 Welcome.mp4  8.25 MB
01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4  3.92 MB
01 Introduction and Outline/003 Where to get the code and data.mp4  3.58 MB
01 Introduction and Outline/004 How to succeed in this course.mp4  4.82 MB
02 Generative Modeling Review/005 What does it mean to Sample.mp4  8.45 MB

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03.Building a Clustering Model with Spark/0302.Implementing GMM in Apache Spark.mp4  31.52 MB
04.Dimensionality Reductions and Recommendation Engines/0403.Using Recommendation Engine to Get Top Recommendations.mp4  26.32 MB
01.Advanced Text Processing in Spark and Building a Classification Model/0104.Extracting Features from Data – Transforming Text into Vector of Numbers.mp4  22.71 MB
01.Advanced Text Processing in Spark and Building a Classification Model/0101.The Course Overview.mp4  19.2 MB
01.Advanced Text Processing in Spark and Building a Classification Model/0102.Analyzing Text Input Data.mp4  18.88 MB

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video/4 - Clustering Recommendations and Probability.mp4  484.86 MB
video/3 - Classifying Web Documents_ The Code.mp4  429.7 MB
video/2 - Classifying Web Documents_ The Theory.mp4  263.32 MB
video/1 - Introduction.mp4  182.93 MB
video/5 - Conclusion.mp4  103.09 MB

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4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4  291.33 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4  287.45 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4  251.83 MB
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4  244.16 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4  236.6 MB

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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4  227.6 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4  190.19 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4  176.13 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4  176.11 MB
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16 DataBricks and Spark/078 Zeppelin Notebooks on AWS Elastic MapReduce.mp4  67.19 MB
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16 DataBricks and Spark/075 Databricks Overview.mp4  62.44 MB
13 Model Evaluation/064 Spark - Model Evaluation - Regression Example.mp4  61.81 MB

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Part 02-Module 04-Lesson 02_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp4  48.38 MB
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Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.mp4  40.74 MB
Part 02-Module 04-Lesson 02_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp4  39.4 MB
Part 02-Module 03-Lesson 05_Monte Carlo Methods/03. MC Prediction State Values-0q2wSWyuBj8.mp4  33.39 MB

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17. Logistic Regression/4. Case Study.mp4  198.2 MB
7. Data Visualisation/2. Seaborn.mp4  184.74 MB
15. Model Selection Part1/4. Gridsearch Case study Part2.mp4  178.88 MB
7. Data Visualisation/1. Matplotlib.mp4  172.76 MB
2. Numpy/3. Numpy Operations Part2.mp4  169.97 MB

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08 Introduction to Deep Learning [Optional]/056 [Activity] Handwriting Recognition with Tensorflow part 1.mp4  181.85 MB
08 Introduction to Deep Learning [Optional]/052 [Activity] Playing with Tensorflow.mp4  145.4 MB
09 Deep Learning for Recommender Systems/070 [Activity] Recommendations with RBMs part 1.mp4  144.44 MB
08 Introduction to Deep Learning [Optional]/067 [Activity] Sentiment Analysis of Movie Reviews using RNNs and Keras.mp4  119.78 MB
10 Scaling it Up/087 DSSTNE in Action.mp4  116.66 MB

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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4  227.6 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4  190.18 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4  176.13 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4  176.12 MB
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004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.mp4  53.88 MB
001.Introduction/002. Experimental particle physics.mp4  52.59 MB
001.Introduction/003. Testing hypotheses experimentally.mp4  49.03 MB
001.Introduction/001. Introduction into the course.mp4  48.31 MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/017. Search for Dark Matter at Accelerator Experiment.mp4  47.09 MB

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