Udemy - Projects in Machine Learning Beginner To Professional

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名前:	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.
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カテゴリ:	Tutorials
言語:	English
合計サイズ:	4.24 GB
情報のハッシュ:	BC126D4DA14AFAD1384B47BC4F0F34868930D5D3
を追加することによって:	fclab16
追加日:	2018-10-28 18:38:42
トレントステータス:	Torrent Verified

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ファイルリスト:

ファイル	サイズ
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

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Udemy - Projects in Machine Learning Beginner To Professional