Machine Learning with scikit-learn and Tensorflow
Where to Watch Machine Learning with scikit-learn and Tensorflow
33.
Build an Image Retrieval System Using Embeddings
2018-03-28
In this video, we will see how can we build an image search engine with deep learning?
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 33 Now
32.
Pretrained ImageNet Embeddings and Image Search Engines
2018-03-28
In this video, we will see what the landscape of image embeddings is and transfer learning networks.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 32 Now
31.
Applying Word2Vec for Analogy Completion
2018-03-28
In this video, we will see how can we apply Word2Vec to complete analogies.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 31 Now
30.
Understanding Word2Vec, Representation Learning, and Embeddings
2018-03-28
In this video, we will see what is Word2Vec and how does it work.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 30 Now
29.
Build a Cryptocurrency Prediction Bot with RNNs
2018-03-28
In this video, we will see how can we build a cryptocurrency price prediction model.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 29 Now
28.
Better Tweet Sentiment Classification with RNNs
2018-03-28
In this video, we will see how can we apply RNN's to classify twitter sentiment.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 28 Now
27.
Working with Long-Short Term Memory Networks (LSTMs)
2018-03-28
In this video, we will see how LSTMs improve upon RNN's.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 27 Now
26.
Understanding Recurrent Neural Networks
2018-03-28
In this video, we will see how Recurrent Neural Networks work.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 26 Now
25.
Image Segmentation with CNNs and TensorFlow
2018-03-28
In this video, we will see how can we segment a photo using Convolutional Neural Networks.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 25 Now
24.
Semantic Image Segmentation Explained
2018-03-28
In this video, we will see how can Convolutional Neural Networks perform image segmentation.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 24 Now
23.
Building a Flower Species Classifier with CNN's with TensorFlow + Keras
2018-03-28
In this video, we will see how can we classify flower species with a Convolutional Neural Network.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 23 Now
22.
Deep Neural Networks and Convolutional Neural Networks
2018-03-28
In this video, we will see how do Convolutional Neural Networks (CNNs) work.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 22 Now
21.
LDA for Natural Language Topic Discovery
2018-03-28
Make use of LDA on a dataset of news articles to learn a topic model and predict topics for articles.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 21 Now
20.
Working with Latent Dirichlet Allocation (LDA)
2018-03-28
How can we learn about text data without labels? How can we discover topics within text and across different document sources?
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 20 Now
19.
Building a Tweet-Bot with N-Gram Features
2018-03-28
How can I generate realistic tweets with machine learning?
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 19 Now
18.
Tweet Classification with Bag of Words Features
2018-03-28
How can I take text data from Twitter and learn a machine learning classifier to detect sentiment?
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 18 Now
17.
Essential Feature Extraction - Bag of Words and N-Grams
2018-03-28
What is the best way to represent text data for machine learning? How can we capture context? What is a language model?
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 17 Now
16.
Using PCA to Compress Images
2018-03-28
Use PCA to learn a compressed representation for images.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 16 Now
15.
Dimensionality Reduction with Principal Component Analysis
2018-03-28
How can we learn the important features of data without labeled date? Dimensionality reduction and PCA.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 15 Now
14.
Unsupervised Clustering of Patients with K-Means Clustering
2018-03-28
Use K-means clustering on a real dataset of diabetes patients to discover sub-groups among populations.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 14 Now
13.
K-Means Clustering Explained
2018-03-28
How can we learn categories of data when labels are not provided? Use K-Means clustering.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 13 Now
12.
Introduction to Unsupervised Learning
2018-03-28
This video provides a broad overview of the topics in unsupervised learning theory and techniques.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 12 Now
11.
Credit Card Fraud Detection with Random Forests
2018-03-28
Learn how to detect credit card fraud with Random Forests.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 11 Now
10.
Exploring Random Forest Methods
2018-03-28
Explore what are Random Forests and understand how they work.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 10 Now
9.
Wine Classification with Decision Trees
2018-03-28
Discuss how to classify wine with decision trees and understand our model.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 9 Now
8.
Working with Decision Trees
2018-03-28
Understand what are Decision Trees and what objective do we optimize.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 8 Now
7.
Classification of Movie Genres with SVMs
2018-03-28
Explain how to deal with non-linear data, handle multi-label classification, and how to classify movie genres with SVMs.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 7 Now
6.
Understanding Support Vector Machines
2018-03-28
Learn how to handle classification tasks and how SVMs work?
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 6 Now
5.
Building a Full Ad Ranking System
2018-03-28
Learn how to build a full Ad Ranking system.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 5 Now
4.
Ad Ranking Using Clickthrough Rates and User Demographics
2018-03-28
Predict Ad Clickthrough Rate with the help of Linear Regression.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 4 Now
3.
Estimating the Price of Housing
2018-03-28
Use Linear Regression and scikit-learn to estimate the price of housing.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 3 Now
2.
Understanding Linear Regression
2018-03-28
Understand what Linear regression is all about.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 2 Now
1.
The Course Overview
2018-03-28
This video gives an overview of the entire course.
Watch Machine Learning with scikit-learn and Tensorflow Season 1 Episode 1 Now
Machine Learning with scikit-learn and Tensorflow is a series categorized as a new series. Spanning 1 seasons with a total of 33 episodes, the show debuted on 2018. The series has earned a no reviews from both critics and viewers. The IMDb score stands at undefined.
How to Watch Machine Learning with scikit-learn and Tensorflow
How can I watch Machine Learning with scikit-learn and Tensorflow online? Machine Learning with scikit-learn and Tensorflow is available on Packt Publishing with seasons and full episodes. You can also watch Machine Learning with scikit-learn and Tensorflow on demand at Amazon online.
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