MANNING | Machine Learning For Mere Mortals [Video] [FCO]

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MANNING | Machine Learning For Mere Mortals [Video] [FCO]

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MANNING | Machine Learning For Mere Mortals [Video] [FCO]
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0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url
URL
409.6 B
1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url
URL
307.2 B
3. (FTUApps.com) Download Cracked Developers Applications For Free.url
URL
204.8 B
How you can help our Group!.txt
TXT
204.8 B
U01M01 The basics.mp4
MP4
34.7 MB
U01M02 Machine Learning versus Artificial Intelligence.mp4
MP4
33 MB
U01M03 Supervised learning.mp4
MP4
43.1 MB
U01M04 Unsupervised learning.mp4
MP4
16.2 MB
U01M05 Reinforcement learning.mp4
MP4
28.4 MB
U01M06 A quick math refresher.mp4
MP4
11 MB
U01M07 Slope of a line.mp4
MP4
45.1 MB
U01M08 Scalars, vectors, and tensors.mp4
MP4
26.5 MB
U01M09 Matrices and matrix arithmetic.mp4
MP4
13.4 MB
U01M10 Set up your computing environment.mp4
MP4
1.8 MB
U01M11 Install Python tools.mp4
MP4
11.2 MB
U01M12 Create virtualenv environment.mp4
MP4
5.9 MB
U01M13 Install Tensorflow.mp4
MP4
18.3 MB
U01M14 The projects.mp4
MP4
10.1 MB
U02M01 Supervised learning.mp4
MP4
22.3 MB
U02M02 Trend lines.mp4
MP4
4.6 MB
U02M03 Cost functions.mp4
MP4
3.8 MB
U02M04 Minimizing cost functions.mp4
MP4
8.8 MB
U02M05 Visualizing data.mp4
MP4
35 MB
U02M06 Using linear regression to predict values.mp4
MP4
22.8 MB
U02M07 More complicated functions.mp4
MP4
1.7 MB
U02M08 Working with matrices.mp4
MP4
4.6 MB
U02M09 Letting Tensorflow do the hard work.mp4
MP4
14.2 MB
U03M01 More supervised learning.mp4
MP4
4.7 MB
U03M02 What are features_.mp4
MP4
5.6 MB
U03M03 What makes a good feature_.mp4
MP4
15.5 MB
U03M04 Decision trees.mp4
MP4
10.6 MB
U03M05 K-nearest neighbor.mp4
MP4
9.9 MB
U03M06 Linear classification.mp4
MP4
7.9 MB
U03M07 Making it work in Tensorflow.mp4
MP4
21.2 MB
U03M08 Creating a spam filter.mp4
MP4
13.7 MB
U03M09 Tools and data for email classification.mp4
MP4
36 MB
U03M10 Classifying emails.mp4
MP4
9.2 MB
U04M01 How clustering works.mp4
MP4
82.1 MB
U04M02 Clustering algorithms.mp4
MP4
56.8 MB
U04M03 Introducing k-means.mp4
MP4
56.9 MB
U04M06 Assigning Points to a Centroid in K-means).mp4
MP4
34.3 MB
U05M01 What are neural networks, and how do they work.mp4
MP4
68.7 MB
U05M02 The Tensorflow Playground interface.mp4
MP4
14 MB
U05M03 Adding nodes to use multiple models in the TensorFlow Playground.mp4
MP4
12.8 MB
U05M04 What hidden layers are, and how to use them with TensorFlow Playground.mp4
MP4
43.9 MB
U05M05 What is the activation function in a neural network_.mp4
MP4
35.8 MB
U06M01 Using Neural Networks.mp4
MP4
56.6 MB
U06M02 How encoding non-numeric data works.mp4
MP4
64.8 MB
U06M03 One hot encoding.mp4
MP4
84.5 MB
U06M04 How image recognition relates to a neural network.mp4
MP4
95.1 MB
U07M01 Encoding and Representation.mp4
MP4
21.3 MB
U07M02 Numeric representation of data.mp4
MP4
40.6 MB
U07M03 Text representation of data.mp4
MP4
31.8 MB
U07M04 Representation of image data.mp4
MP4
34.1 MB
U07M05 Representation of audio data.mp4
MP4
28.4 MB
U07M06 Analytics, stock prices, and other time series data.mp4
MP4
43.6 MB
U07M07 Preparing data_ finding the data set.mp4
MP4
31.3 MB
U07M08 Preparing data_ Features engineering.mp4
MP4
61.4 MB
U07M09 Principal Component Analysis_ The mathematical way to determine features.mp4
MP4
23.1 MB
U07M10 Feature selection.mp4
MP4
34.5 MB
U07M11 Geometry of the data space and the curse of dimensionality.mp4
MP4
58.6 MB
U08M01 The difference between an algorithm and a model.mp4
MP4
50.3 MB
U08M02 Chaining together models.mp4
MP4
146.6 MB
U09M01 Improving performance in machine learning routines.mp4
MP4
89.8 MB
U09M02 Using parallelization.mp4
MP4
57.3 MB
U09M03 Outliers.mp4
MP4
204.6 MB
U09M05 What should we do with outliers_.mp4
MP4
119.1 MB
U09M06 Robustness and noise.mp4
MP4
40.3 MB
U09M07 Overfitting.mp4
MP4
104.2 MB
U09M08 Regularization.mp4
MP4
272.5 MB

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