Browse Torrents

Latest Forums Topics

KARAOKE ENTHUSIAST CHAT latest post by Ninieblhz

Service Socks5 Cheap - Check Socks5 latest post by Shopsocks

Service Seller Socks5 Good latest post by vnsocks5

Site Donations latest post by philsbbs

mp3 new releases 2023 week 46 [GloDLS] latest post by phatty69er

JAKMAN Application latest post by Prom3th3uS

Latest sunflys and zoom latest post by krazydave_thedj

New member latest post by BJtheDJ

Sunflys + latest zoom latest post by BJtheDJ

MP3 NEW RELEASES 2024 WEEK 40 - [GloDLS] latest post by Hippy

Friends

Angie Torrents
Friendly Site

Get Into Way
Friendly site

Free Courses Online
Friendly site

KaranPC
Friendly site

OneHack
Friendly site

IGGGames
Friendly site

Detalhes do Torrent Para "Udemy - Projects in Machine Learning Beginner To Professional"

Udemy - Projects in Machine Learning Beginner To Professional

To download this torrent, you need a BitTorrent client: Vuze or BTGuard

baixar esse torrent
Download using Magnet Link

Saúde:

Sementes: 28
Leechers: 9
Concluído: 117
Última verificado: 10-07-2019 19:41:05

pontos Uploader Reputação : 1052

Thanks By

Write a Review for the Uploader:	0	Say Thanks with one good review:

Share on Facebook

Details

Nome:	Udemy - Projects in Machine Learning Beginner To Professional
Description: If you’ve ever wanted Jetsons to be real, well we aren’t that far off from a future like that. If you’ve ever chatted with automated robots, then you’ve definitely interacted with machine learning. From self-driving cars to AI bots, machine learning is slowly spreading it’s reach and making our devices smarter.
Video YouTube:
Categoria:	Tutorials
Idioma:	English
Total Size:	4.24 GB
Informações Hash:	BC126D4DA14AFAD1384B47BC4F0F34868930D5D3
Adicionado por:	fclab16
Data adicionada:	2018-10-28 18:38:42
Torrent Status:	Torrent Verified

Ratings:

Not Yet Rated (Log in to rate it)

Tracker:
http://0d.kebhana.mx:443/announce

Este Torrent também tem trackers de backup

URL	Semeadores	Leechers	Concluído
http://0d.kebhana.mx:443/announce	0	0	0
udp://tw.opentracker.ga:36920/announce	0	0	0
udp://temp1.opentracker.gq:6969/announce	0	0	0
udp://temp2.opentracker.gq:6969/announce	0	0	0
udp://tracker.torrent.eu.org:451/announce	3	1	20
http://torrent.nwps.ws:80/announce	0	0	0
udp://explodie.org:6969/announce	4	1	50
https://opentracker.xyz:443/announce	3	1	0
https://t.quic.ws:443/announce	3	1	0
https://tracker.fastdownload.xyz:443/announce	3	1	0
udp://tracker.opentrackr.org:1337/announce	3	1	26
udp://ipv4.tracker.harry.lu:80/announce	2	1	0
udp://tracker.coppersurfer.tk:6969/announce	4	1	9
udp://tracker.justseed.it:1337/announce	0	0	0
udp://open.demonii.si:1337/announce	3	1	12

Lista de arquivos:

Arquivo	Tamanho
1. An Introduction to Machine Learning/1. Introduction.mp4	1.71 MB
1. An Introduction to Machine Learning/1. Introduction.srt	1.63 kB
1. An Introduction to Machine Learning/2. What is Machine Learning.mp4	29.19 MB
1. An Introduction to Machine Learning/2. What is Machine Learning.srt	15.77 kB
1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4	53.05 MB
1. An Introduction to Machine Learning/3. Types and Applications of ML.srt	34.78 kB
1. An Introduction to Machine Learning/4. AI vs ML.mp4	22.88 MB
1. An Introduction to Machine Learning/4. AI vs ML.srt	12.52 kB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4	35.79 MB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt	23.34 kB
1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html	65.00 B
1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf	64.52 kB
1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html	53.00 B
1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf	61.74 kB
10. Project 5 Object Recognition/1. Intro.mp4	7.21 MB
10. Project 5 Object Recognition/1. Intro.srt	1.66 kB
10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip	219.04 kB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4	180.54 MB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt	32.63 kB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4	205.60 MB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt	30.70 kB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4	170.79 MB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt	25.32 kB
11. Project 6 Image Super Resolution/1. Intro.mp4	9.56 MB
11. Project 6 Image Super Resolution/1. Intro.srt	1.51 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip	9.41 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4	258.79 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt	44.26 kB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4	357.57 MB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt	55.11 kB
12. Project 7 Text Classification/1. Intro.mp4	5.00 MB
12. Project 7 Text Classification/1. Intro.srt	1.39 kB
12. Project 7 Text Classification/1.1 Text Classification.zip.zip	55.36 kB
12. Project 7 Text Classification/2. Feature Engineering.mp4	375.39 MB
12. Project 7 Text Classification/2. Feature Engineering.srt	56.48 kB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4	204.23 MB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt	32.28 kB
13. Project 8 - KMeans/1. Intro.mp4	11.21 MB
13. Project 8 - KMeans/1. Intro.srt	1.58 kB
13. Project 8 - KMeans/1.1 KMeans.zip.zip	189.11 kB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4	230.86 MB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt	45.96 kB
13. Project 8 - KMeans/3. Evaluation and Visualization.mp4	209.48 MB
13. Project 8 - KMeans/3. Evaluation and Visualization.srt	34.79 kB
14. Project 9 PCA/1. Intro.mp4	3.69 MB
14. Project 9 PCA/1. Intro.srt	1.30 kB
14. Project 9 PCA/1.1 PCA.zip.zip	219.64 kB
14. Project 9 PCA/2. The Elbow Method.mp4	114.20 MB
14. Project 9 PCA/2. The Elbow Method.srt	29.11 kB
14. Project 9 PCA/3. PCA Compression and Visualization.mp4	185.00 MB
14. Project 9 PCA/3. PCA Compression and Visualization.srt	36.13 kB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4	25.47 MB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt	18.30 kB
2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html	53.00 B
2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf	75.28 kB
2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4	34.14 MB
2. Supervised Learning - part 1/2. Linear Methods for Classification.srt	21.99 kB
2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4	27.01 MB
2. Supervised Learning - part 1/3. Linear Methods for Regression.srt	14.73 kB
2. Supervised Learning - part 1/4. Support Vector Machines.mp4	35.79 MB
2. Supervised Learning - part 1/4. Support Vector Machines.srt	20.46 kB
2. Supervised Learning - part 1/5. Basis Expansions.mp4	21.32 MB
2. Supervised Learning - part 1/5. Basis Expansions.srt	14.06 kB
2. Supervised Learning - part 1/6. Model Selection Procedures.mp4	26.93 MB
2. Supervised Learning - part 1/6. Model Selection Procedures.srt	17.05 kB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4	31.01 MB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt	18.94 kB
2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip	167.22 kB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4	36.22 MB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt	17.81 kB
2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html	65.00 B
2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf	52.97 kB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4	31.78 MB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt	15.81 kB
3. Unsupervised Learning/2. Association Rules.mp4	28.50 MB
3. Unsupervised Learning/2. Association Rules.srt	18.71 kB
3. Unsupervised Learning/3. Cluster Analysis.mp4	27.95 MB
3. Unsupervised Learning/3. Cluster Analysis.srt	17.86 kB
3. Unsupervised Learning/4. Reinforcement Learning.mp4	20.96 MB
3. Unsupervised Learning/4. Reinforcement Learning.srt	22.35 kB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4	21.95 MB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt	19.77 kB
3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip	92.48 kB
3. Unsupervised Learning/6. Quiz- Questions- Section 3.html	65.00 B
3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf	29.80 kB
3. Unsupervised Learning/7. Quiz- Answers - Section 3.html	53.00 B
3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf	41.25 kB
4. Neural Networks/1. Introduction to Neural Networks.mp4	22.71 MB
4. Neural Networks/1. Introduction to Neural Networks.srt	17.55 kB
4. Neural Networks/2. The Perceptron.mp4	17.12 MB
4. Neural Networks/2. The Perceptron.srt	13.35 kB
4. Neural Networks/3. The Backpropagation Algorithm.mp4	22.64 MB
4. Neural Networks/3. The Backpropagation Algorithm.srt	16.14 kB
4. Neural Networks/4. Training Procedures.mp4	24.04 MB
4. Neural Networks/4. Training Procedures.srt	18.74 kB
4. Neural Networks/5. Convolutional Neural Networks.mp4	32.04 MB
4. Neural Networks/5. Convolutional Neural Networks.srt	21.82 kB
5. Real World Machine Learning/1. Introduction to Real World ML.mp4	25.58 MB
5. Real World Machine Learning/1. Introduction to Real World ML.srt	16.38 kB
5. Real World Machine Learning/2. Choosing an Algorithm.mp4	19.14 MB
5. Real World Machine Learning/2. Choosing an Algorithm.srt	13.28 kB
5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4	19.79 MB
5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt	14.47 kB
5. Real World Machine Learning/4. Common Software for ML.mp4	31.33 MB
5. Real World Machine Learning/4. Common Software for ML.srt	15.09 kB
5. Real World Machine Learning/5. Quiz- Questions- Section 5.html	65.00 B
5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf	35.22 kB
5. Real World Machine Learning/6. Quiz- Answers - Section 5.html	53.00 B
5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf	47.20 kB
6. Warmup Project/1. Setting up OpenAI Gym.mp4	30.12 MB
6. Warmup Project/1. Setting up OpenAI Gym.srt	17.17 kB
6. Warmup Project/1.1 Final Project.zip.zip	47.02 kB
6. Warmup Project/2. Building and Training the Network Part 1.mp4	36.02 MB
6. Warmup Project/2. Building and Training the Network Part 1.srt	20.35 kB
6. Warmup Project/3. Building and Training the Network Part 2.mp4	63.34 MB
6. Warmup Project/3. Building and Training the Network Part 2.srt	26.95 kB
7. Project 1Board Game Review Prediction/1. Intro.mp4	7.55 MB
7. Project 1Board Game Review Prediction/1. Intro.srt	2.02 kB
7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions.zip.zip	128.63 kB
7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4	17.73 MB
7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt	12.67 kB
7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4	35.50 MB
7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt	20.37 kB
7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4	35.82 MB
7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt	16.81 kB
8. Project 2 Credit Card Fraud Detection/1. Intro.mp4	7.57 MB
8. Project 2 Credit Card Fraud Detection/1. Intro.srt	2.80 kB
8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection.zip.zip	237.75 kB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4	37.57 MB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt	26.52 kB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4	48.91 MB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt	24.93 kB
9. Project 4 Intro to Natural Language Processing/1. Intro.mp4	16.95 MB
9. Project 4 Intro to Natural Language Processing/1. Intro.srt	1.66 kB
9. Project 4 Intro to Natural Language Processing/1.1 Intro to Natural Language Processing.zip.zip	64.95 kB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4	198.34 MB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt	30.14 kB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4	323.06 MB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt	37.42 kB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4	216.93 MB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt	29.66 kB
[FreeCourseLab.com].url	126.00 B

Comments
Nenhum comentário postado ainda

filmes

TV

softwares / APPS

MUSIC

Jogos

livros

ANIME

Mobile Apps / Jogos

VIDEO

FOTOS

Pacotes de TV / Filme

Udemy - Projects in Machine Learning Beginner To Professional