download скачать Free download скачать : Machine Learning, Deep Learning + AWS Sagemaker
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:5.83 GB

Files Included :

1 - Introduction.mp4 (41.8 MB)
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2 - How to tackle this course.mp4 (48.85 MB)
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3 - Installations and sign ups.mp4 (42.79 MB)
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4 - Jupyter Notebooks.mp4 (8.71 MB)
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120 - Introduction.mp4 (2.23 MB)
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121 - Pytorch TensorDataset.mp4 (12.4 MB)
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122 - Pytorch Dataset and DataLoaders.mp4 (35.35 MB)
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123 - Deep Learning with PyTorch nnSequential models.mp4 (11.04 MB)
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124 - Deep Learning with Pytorch Loss functions.mp4 (52.44 MB)
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125 - Deep Learning with Pytorch Stochastic Gradient Descent.mp4 (79.46 MB)
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126 - Deep Learning with Pytorch Optimizers.mp4 (10.19 MB)
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127 - Pytorch Model API.mp4 (33.24 MB)
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128 - Pytorch in GPUs.mp4 (4.97 MB)
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129 - Deep Learning Intro to Pytorch Lightning.mp4 (52.37 MB)
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131 - Transfer Learning Introduction.mp4 (4.46 MB)
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132 - Kaggle problem description.mp4 (9.19 MB)
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133 - PyTorch datasets Torchvision.mp4 (14.72 MB)
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134 - PyTorch transfer learning with ResNet.mp4 (15.43 MB)
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135 - PyTorch Lightning Model.mp4 (9.42 MB)
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136 - PyTorch Lightning Trainer Model evaluation.mp4 (50.24 MB)
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137 - Deep Learning for Cassava Leaf Classification.mp4 (4.14 MB)
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138 - Cassava Leaf Dataset.mp4 (15.28 MB)
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139 - Data Augmentation with Torchvision Transforms.mp4 (56.52 MB)
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140 - Train vs Test Augmentations DataLoader parameters.mp4 (7.73 MB)
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141 - Deep Learning Transfer Learning Model with ResNet.mp4 (8.01 MB)
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142 - Setting up PyTorch Lightning for training.mp4 (8.36 MB)
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143 - Cross Entropy Loss for Imbalanced Classes.mp4 (8.5 MB)
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144 - PyTorch Test dataset setup and evaluation.mp4 (7.1 MB)
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145 - WandB for logging experiments.mp4 (21.51 MB)
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147 - Introduction.mp4 (25.31 MB)
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148 - Coco Dataset Augmentations for Segmentation with Torchvision.mp4 (18.9 MB)
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149 - Unet Architecture overview.mp4 (14.7 MB)
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150 - PyTorch Model Architecture.mp4 (13.55 MB)
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151 - PyTorch Hooks.mp4 (24.69 MB)
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152 - PyTorch Hooks Step through with breakpoints.mp4 (67.56 MB)
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153 - PyTorch Weighted CrossEntropy Loss.mp4 (65.19 MB)
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154 - Weights and Biases Logging images.mp4 (15.83 MB)
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155 - Semantic Segmentation training with PyTorch Lightning.mp4 (130.17 MB)
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157 - Introduction to Transformers.mp4 (3.41 MB)
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158 - The illustrated Transformer blogpost by Jay Alammar.mp4 (23.59 MB)
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159 - Encoder Transformer Models The Maths.mp4 (28.66 MB)
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160 - BERT.mp4 (8.14 MB)
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161 - Kaggle Multi.mp4 (6.82 MB)
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162 - Tokenizers and data prep for BERT models.mp4 (29.06 MB)
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163 - Distilbert Smaller BERT model.mp4 (48.78 MB)
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164 - Pytorch Lightning DistilBERT for classification.mp4 (102.68 MB)
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165 - Introduction and Terminology.mp4 (18.13 MB)
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166 - Bayesian Learning Distributions.mp4 (35.95 MB)
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167 - Bayes rule for population mean estimation.mp4 (50.16 MB)
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168 - Bayesian learning Population estimation pymc3 way.mp4 (70.57 MB)
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169 - Coin Toss Example with Pymc3.mp4 (70.71 MB)
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170 - Data Setup for Bayesian Linear Regression.mp4 (17.11 MB)
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171 - Bayesian Linear Regression with pymc3.mp4 (60.07 MB)
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172 - Bayesian Rolling Regression.mp4 (14.84 MB)
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173 - Bayesian Rolling regression.mp4 (54.76 MB)
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174 - Bayesian Rolling Regression.mp4 (30.34 MB)
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175 - Variational Bayes Intro.mp4 (8.64 MB)
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176 - Variational Bayes Linear Classification.mp4 (44.3 MB)
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177 - Variational Bayesian Inference Result Analysis.mp4 (7.37 MB)
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178 - Minibatch Variational Bayes.mp4 (11.05 MB)
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179 - Deep Bayesian Networks.mp4 (7.27 MB)
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180 - Deep Bayesian Networks.mp4 (10.49 MB)
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181 - Intro.mp4 (2.52 MB)
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182 - Saving Models.mp4 (7.56 MB)
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183 - FastAPI intro.mp4 (11.64 MB)
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184 - FastAPI serving model.mp4 (29.27 MB)
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185 - Streamlit Intro.mp4 (5.95 MB)
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186 - Streamlit functions.mp4 (20.79 MB)
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187 - CLIP model.mp4 (18.74 MB)
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189 - Introduction and WARNING Must watch.mp4 (4.31 MB)
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190 - Setting up AWS.mp4 (15.21 MB)
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191 - awscli IAM setup.mp4 (16.95 MB)
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192 - AWS s3 introduction bash scriptting.mp4 (21.22 MB)
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193 - AWS IAM roles.mp4 (35.61 MB)
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194 - AWS Sagemaker.mp4 (10.93 MB)
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195 - Sagemaker Processing.mp4 (39.31 MB)
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196 - Sagemaker Training.mp4 (20 MB)
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197 - Sagemaker Training.mp4 (32.26 MB)
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198 - AWS Cloudwatch.mp4 (16.08 MB)
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199 - AWS Sagemaker inference model deployment.mp4 (35.84 MB)
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200 - AWS Sagemaker Inference.mp4 (37.37 MB)
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201 - AWS Sagemaker Inference.mp4 (14.46 MB)
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202 - AWS Billing.mp4 (10.13 MB)
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203 - Some advice on your journey.mp4 (13.56 MB)
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10 - Numpy functions.mp4 (62.44 MB)
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11 - Conditional statements.mp4 (12.6 MB)
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12 - For loops.mp4 (12.38 MB)
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13 - Dictionaries again.mp4 (6.17 MB)
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15 - Intro.mp4 (5.02 MB)
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16 - Pandas simple functions.mp4 (38.33 MB)
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17 - Pandas Subsetting.mp4 (22.05 MB)
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18 - Pandas loc and iloc.mp4 (41.82 MB)
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19 - Pandas loc and iloc 2.mp4 (13.84 MB)
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20 - Pandas map and apply.mp4 (31.43 MB)
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21 - Pandas groupby.mp4 (18.34 MB)
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24 - Line plot.mp4 (8.55 MB)
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25 - Plot multiple lines.mp4 (45.39 MB)
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26 - Histograms.mp4 (21.62 MB)
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27 - Scatter Plots.mp4 (18.6 MB)
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28 - Subplots.mp4 (15.31 MB)
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29 - Seaborn pair plots.mp4 (49.67 MB)
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6 - Intro.mp4 (2.89 MB)
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7 - Basic Data Structures.mp4 (21.89 MB)
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8 - Dictionaries.mp4 (18.79 MB)
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9 - Python functions methods.mp4 (27.58 MB)
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30 - Your reviews are important to me.mp4 (2.05 MB)
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32 - Gradient Descent.mp4 (43.4 MB)
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33 - Kmeans part 1.mp4 (78.37 MB)
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34 - Kmeans part 2.mp4 (63.19 MB)
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35 - Broadcasting.mp4 (27.13 MB)
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37 - Intro.mp4 (35.38 MB)
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38 - Linear Regresson Part 1.mp4 (90.54 MB)
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39 - Linear Regression Part 2.mp4 (71.55 MB)
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40 - Classification and Regression Trees.mp4 (19.98 MB)
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41 - CART part 2.mp4 (166.49 MB)
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42 - Random Forest theory.mp4 (4.82 MB)
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43 - Random Forest Code.mp4 (36.74 MB)
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44 - Gradient Boosted Machines.mp4 (67.61 MB)
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45 - Kaggle part 1.mp4 (6.75 MB)
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46 - Kaggle part 2.mp4 (11.13 MB)
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47 - Theory part 1.mp4 (13.54 MB)
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48 - Theory part 2 code.mp4 (27.28 MB)
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49 - Titanic dataset.mp4 (116.3 MB)
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50 - Sklearn classification prelude.mp4 (14.31 MB)
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51 - Sklearn classification.mp4 (89.99 MB)
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52 - Dealing with missing values.mp4 (50.76 MB)
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54 - Intro.mp4 (11.41 MB)
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55 - Loss functions.mp4 (46.45 MB)
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56 - FB Prophet part 1.mp4 (78.03 MB)
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57 - FB Prophet part 2.mp4 (24.45 MB)
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58 - Theory behind FB Prophet.mp4 (16.86 MB)
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60 - Overfitting.mp4 (19.33 MB)
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61 - Cross Validation.mp4 (53.72 MB)
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62 - Stratified K Fold.mp4 (58.11 MB)
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63 - Area Under Curve AUC Part 1.mp4 (84.11 MB)
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64 - Area Under Curve AUC Part 2.mp4 (19.5 MB)
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65 - Principal Component Analysis PCA theory.mp4 (20.54 MB)
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66 - Fashion MNIST PCA.mp4 (102.09 MB)
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67 - K.mp4 (22.3 MB)
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68 - Other clustering methods.mp4 (48.05 MB)
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69 - DBSCAN theory.mp4 (13.21 MB)
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70 - Gaussian Mixture Models GMM theory.mp4 (19.99 MB)
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71 - Intro.mp4 (10.37 MB)
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72 - Stop words and Term Frequency.mp4 (10.7 MB)
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73 - Term Frequency.mp4 (6.05 MB)
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74 - Financial News Sentiment Classifier.mp4 (33.71 MB)
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75 - NLTK Stemming.mp4 (45.59 MB)
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76 - N.mp4 (13.79 MB)
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77 - Word feature importance.mp4 (12.41 MB)
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78 - Spacy intro.mp4 (33.22 MB)
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79 - Feature Extraction with Spacy using Pandas.mp4 (76.46 MB)
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80 - Classification Example.mp4 (24.1 MB)
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81 - Over.mp4 (32.84 MB)
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83 - Introduction.mp4 (8.35 MB)
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84 - MSE recap.mp4 (18.3 MB)
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85 - L2 Loss Ridge Regression intro.mp4 (10.04 MB)
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86 - Ridge regression L2 penalised regression.mp4 (46.97 MB)
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87 - S&P500 data preparation for L1 loss.mp4 (25.22 MB)
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88 - L1 Penalised Regression Lasso.mp4 (31.42 MB)
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89 - L1 L2 Penalty theory why it works.mp4 (23.22 MB)
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100 - Batch Norm Theory.mp4 (53.89 MB)
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90 - Intro.mp4 (632.61 KB)
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91 - DL theory part 1.mp4 (17.23 MB)
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92 - DL theory part 2.mp4 (22.8 MB)
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93 - Tensorflow Keras demo problem 1.mp4 (43.33 MB)
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94 - Activation functions.mp4 (15.37 MB)
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95 - First example with Relu.mp4 (32.62 MB)
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96 - MNIST and Softmax.mp4 (55.76 MB)
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97 - Deep Learning Input Normalisation.mp4 (10.35 MB)
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98 - Softmax theory.mp4 (58.32 MB)
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99 - Batch Norm.mp4 (17.04 MB)
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101 - Intro.mp4 (5.97 MB)
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102 - Fashion MNIST feed forward net for benchmarking.mp4 (19.66 MB)
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103 - Keras Conv2D layer.mp4 (44.46 MB)
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104 - Model fitting and discussion of results.mp4 (17.41 MB)
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105 - Dropout theory and code.mp4 (23.67 MB)
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106 - MaxPool and comparison to stride.mp4 (17.68 MB)
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107 - Cifar.mp4 (27.28 MB)
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108 - Nose Tip detection with CNNs.mp4 (68.69 MB)
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109 - Word2vec and Embeddings.mp4 (43.96 MB)
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110 - Kaggle Word2Vec.mp4 (27.79 MB)
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111 - Word2Vec keras Model API.mp4 (45.2 MB)
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112 - Recurrent Neural Nets.mp4 (19.06 MB)
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113 - Deep Learning.mp4 (90.97 MB)
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114 - Deep Learning.mp4 (5.03 MB)
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115 - Transfer Learning.mp4 (74.57 MB)
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116 - Sequence to Sequence Introduction Data Prep.mp4 (80.1 MB)
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117 - Sequence to Sequence model Keras Model API.mp4 (30.48 MB)
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118 - Sequence to Sequence models Prediction step.mp4 (104.69 MB)
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