ØMagnet

Coursera - IBM AI Engineering Professional Certificate

Torrent Hash :
cc1d1caed2529160d7edcac3052482c8129af356
Content Size :
1.11 GB
Date :
2021-11-27
Short Magnet :
Short Magnet
https://0mag.top/!A1lYZE QR code
Files ( 1000+ )size
02 Scalable Machine Learning on Big Data using Apache Spark/01_week-1-introduction/01_course-introduction/02_what-is-big-data.mp449.11 MB
02 Scalable Machine Learning on Big Data using Apache Spark/03_week-3-introduction-to-apache-sparkml/01_introduction-to-apache-sparkml/02_introduction-to-sparkml.mp447.95 MB
01 Machine Learning with Python/06_final-project/01_final-project/02_optional-sharing-notebooks-on-watson-studio.mp422.31 MB
01 Machine Learning with Python/03_classification/03_logistic-regression/02_logistic-regression-vs-linear-regression.mp421.73 MB
01 Machine Learning with Python/03_classification/03_logistic-regression/03_logistic-regression-training.mp420.91 MB
05 Building Deep Learning Models with TensorFlow/02_supervised-learning-models/01_convolutional-neural-networks/03_convolutional-neural-networks-cnns-architecture.mp420.08 MB
02 Scalable Machine Learning on Big Data using Apache Spark/01_week-1-introduction/01_course-introduction/01_introduction-to-apache-spark-for-machine-learning-on-bigdata.mp419.96 MB
01 Machine Learning with Python/02_regression/01_linear-regression/05_multiple-linear-regression.mp419.87 MB
01 Machine Learning with Python/02_regression/01_linear-regression/02_simple-linear-regression.mp418.41 MB
04 Deep Neural Networks with PyTorch/01_tensor-and-datasets/02_1-1-tensors-1d/01_1-1-tensors-1d.mp417.76 MB
01 Machine Learning with Python/03_classification/02_decision-trees/02_building-decision-trees.mp415.63 MB
02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/02_data-visualization-of-big-data/04_pca.mp414.82 MB
01 Machine Learning with Python/04_clustering/01_k-means-clustering/02_intro-to-k-means.mp414.77 MB
01 Machine Learning with Python/01_introduction-to-machine-learning/01_what-is-machine-leaning/02_introduction-to-machine-learning.mp414.02 MB
04 Deep Neural Networks with PyTorch/05_logistic-regression-for-classification/04_5-3-logistic-regressioncross-entropy-loss/01_logistic-regression-cross-entropy-loss.mp413.92 MB
01 Machine Learning with Python/03_classification/01_k-nearest-neighbours/02_k-nearest-neighbours.mp413.4 MB
04 Deep Neural Networks with PyTorch/07_shallow-neural-networks/01_7-1-neural-networks-in-one-dimension/01_whats-a-neural-network.mp413.21 MB
01 Machine Learning with Python/02_regression/01_linear-regression/03_model-evaluation-in-regression-models.mp413.18 MB
04 Deep Neural Networks with PyTorch/01_tensor-and-datasets/03_1-2-two-dimensional-tensors/01_1-2-two-dimensional-tensors.mp413.13 MB
01 Machine Learning with Python/03_classification/04_support-vector-machine/01_support-vector-machine.mp412.6 MB
05 Building Deep Learning Models with TensorFlow/01_introduction/03_neural-networks-deep-learning-and-tensorflow/04_deep-neural-networks.mp412.57 MB
02 Introduction to Deep Learning & Neural Networks with Keras/02_artificial-neural-networks/01_training-a-neural-network/02_backpropagation.mp412.54 MB
01 Machine Learning with Python/04_clustering/01_k-means-clustering/01_intro-to-clustering.mp412.48 MB
01 Machine Learning with Python/03_classification/03_logistic-regression/01_intro-to-logistic-regression.mp411.87 MB
04 Deep Neural Networks with PyTorch/02_linear-regression/01_2-1-linear-regression-in-1d-prediction/01_2-1-linear-regression-prediction.mp411.66 MB
04 Deep Neural Networks with PyTorch/05_logistic-regression-for-classification/01_5-0-linear-classier-and-logistic-regression/01_5-0-linear-classifiers.mp411.63 MB
04 Deep Neural Networks with PyTorch/04_multiple-input-output-linear-regression/01_4-1-multiple-linear-regression-prediction/01_multiple-linear-regression-prediction.mp411.13 MB
01 Machine Learning with Python/02_regression/02_non-linear-regression/01_non-linear-regression.mp411.08 MB
04 Deep Neural Networks with PyTorch/09_convolutional-neural-network/01_9-1-convolution/01_9-1-convolution.mp411.05 MB
01 Machine Learning with Python/04_clustering/03_density-based-clustering/01_dbscan.mp410.96 MB
05 Building Deep Learning Models with TensorFlow/01_introduction/03_neural-networks-deep-learning-and-tensorflow/01_introduction-to-tensorflow.mp410.58 MB
01 Machine Learning with Python/05_recommender-systems/01_content-based-recommendation-engines/03_collaborative-filtering.mp410.43 MB
04 Deep Neural Networks with PyTorch/08_deep-networks/04_8-4-gradient-descent-with-momentum/01_8-4-gradient-descent-with-momentum.mp410.36 MB
04 Deep Neural Networks with PyTorch/08_deep-networks/02_8-2-dropout/01_8-2-dropout.mp410.16 MB
04 Deep Neural Networks with PyTorch/07_shallow-neural-networks/05_7-5-backpropagation/01_7-5-backpropagation.mp49.95 MB
04 Deep Neural Networks with PyTorch/06_softmax-rergresstion/01_6-1-softmax-prediction/01_6-1-softmax.mp49.94 MB
01 Machine Learning with Python/03_classification/01_k-nearest-neighbours/03_evaluation-metrics-in-classification.mp49.9 MB
01 Machine Learning with Python/04_clustering/02_hierarchical-clustering/01_intro-to-hierarchical-clustering.mp49.9 MB
04 Deep Neural Networks with PyTorch/01_tensor-and-datasets/05_1-4-simple-dataset/01_1-3-simple-dataset.mp49.85 MB
04 Deep Neural Networks with PyTorch/08_deep-networks/05_8-5-batch-batch-normalization/01_batch-normalization.mp49.81 MB
04 Deep Neural Networks with PyTorch/03_linear-regression-pytorch-way/01_3-1-stochastic-gradient-descent-and-the-data-loader/01_stochastic-gradient-descentaddsub.mp49.55 MB
01 Machine Learning with Python/01_introduction-to-machine-learning/01_what-is-machine-leaning/04_supervised-vs-unsupervised.mp49.53 MB
04 Deep Neural Networks with PyTorch/08_deep-networks/03_8-3-neural-network-initialization-weights/01_8-3-neural-network-initialization-weights.mp49.38 MB
01 Machine Learning with Python/04_clustering/02_hierarchical-clustering/02_more-on-hierarchical-clustering.mp49.19 MB
02 Scalable Machine Learning on Big Data using Apache Spark/02_week-2-scaling-math-for-statistics-on-apache-spark/01_experience-parallel-programming-on-apache-spark/01_averages.mp49.16 MB
02 Scalable Machine Learning on Big Data using Apache Spark/01_week-1-introduction/02_understanding-how-apache-spark-works/04_functional-programming-basics.mp48.84 MB
01 Machine Learning with Python/01_introduction-to-machine-learning/01_what-is-machine-leaning/03_python-for-machine-learning.mp48.78 MB
02 Introduction to Deep Learning & Neural Networks with Keras/03_keras-and-deep-learning-libraries/02_regression-with-keras/01_regression-models-with-keras.mp48.76 MB
02 Scalable Machine Learning on Big Data using Apache Spark/03_week-3-introduction-to-apache-sparkml/01_introduction-to-apache-sparkml/03_extract-transform-load.mp48.7 MB
04 Deep Neural Networks with PyTorch/06_softmax-rergresstion/03_6-3-softmax-pytorch/01_softmax-pytorch.mp48.62 MB

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