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1.Introduction/02.What you should know before watching this course.mp4 46.32 MB
1.Introduction/01.Welcome.mp4 43.31 MB
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7.6. Scaling and Takeoffs - Tools for the Estimator/22.Length and area takeoffs.mp4 35.73 MB
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3.2. First-Class Functions/09.Passing functions as arguments.mp4 16.42 MB
3.2. First-Class Functions/08.Defining functions like variables.mp4 14.88 MB
3.2. First-Class Functions/10.Returning functions.mp4 13.75 MB
4.3. Array Functions/13.Mapping example.mp4 10.91 MB
4.3. Array Functions/17.Reducing example.mp4 10.22 MB
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01.Learning To Program Part 2- Introduction to Python/02.Why Python.wmv 1.93 MB
01.Learning To Program Part 2- Introduction to Python/03.Installing Python.wmv 16.18 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
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002_testing_and_why_its_used.mp4 12.74 MB
003_understanding_tdd_versus_bdd.mp4 11 MB
004_investigating_our_toolshed.mp4 3.28 MB
005_introducing_jasmine.mp4 10.6 MB
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00-2 Greetings 2.mp4 33.94 MB
21-1 先生に怒られました (He was scolded by his teacher.).mp4 30.81 MB
19-4 これにしてよかった (I am glad that I took this.).mp4 26.68 MB
05-4 写真を撮りましょう (Let's take pictures.).mp4 26.27 MB
16-5 その服が着られるといいですね (I hope you can wear the clothes.).mp4 25.5 MB
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03-Reconnaissance/02.Introduction.and.setup.for.Snyk.mp4 10.8 MB
03-Reconnaissance/04.Introduction.to.AppSensor.mp4 8.67 MB
01-Welcome/01.Ethical.JavaScript.hacking.mp4 7.7 MB
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01. LISP Formatting/01_01 - History.mp4 2.74 MB
01. LISP Formatting/01_02 - Visual LISP IDE.mp4 4 MB
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Volume_1_-_From_the_Beginning/01_-_Cripple_Creek.avi 77.01 MB
Volume_1_-_From_the_Beginning/04_-_Wayfaring_Stranger.avi 70.07 MB
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03.Manifold and Deep Learning for High-Dimensional Data/0304.Manifold Learning in Practice – Part 2.mp4 78.52 MB
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01.Advanced Clustering Methods Selecting the Best Algorithm/0104.Agglomerative Clustering Finding Natural Hierarchies – Part 1.mp4 49.17 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0105.Agglomerative Clustering Finding Natural Hierarchies –Part 2.mp4 44.16 MB
02.Topic Modeling Semantic Content Recommendations/0202.Topic Modeling Overview – Part 2.mp4 43.39 MB
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