Path Deep Learning Literacy Practical Application (2022)

994.79 MB | 00:11:05 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Course Overview.mp4 (2.15 MB)
1 Welcome!.mp4 (2.06 MB)
2 The Power of Deep Learning.mp4 (4.2 MB)
3 What Is Deep Learning.mp4 (9.29 MB)
4 Advantages.mp4 (4.36 MB)
5 Disadvantages.mp4 (4.34 MB)
6 Case Study - Diagnostic Image Analysis.mp4 (8.51 MB)
1 Module Overview.mp4 (825.9 KB)
2 Introduction to Healthcare Data.mp4 (9.71 MB)
3 Medical Coding.mp4 (6.02 MB)
4 Document and Text Analysis.mp4 (6.54 MB)
5 Image Analysis.mp4 (9.25 MB)
6 Device Data.mp4 (8.25 MB)
7 Case study - Automated Medical Coding.mp4 (8.67 MB)
1 Module Overview.mp4 (567.44 KB)
2 Decision Support vs Decision Making.mp4 (5.24 MB)
3 Interpretability.mp4 (4.82 MB)
4 Bias.mp4 (4.88 MB)
5 Peer Review.mp4 (6.69 MB)
6 Case study - Sepsis Algorithm.mp4 (5.26 MB)
7 Course Summary.mp4 (618.51 KB)
1 Course Overview.mp4 (3.46 MB)
1 Overview.mp4 (2.27 MB)
9 Summary.mp4 (1.72 MB)
1 Course Overview.mp4 (2.2 MB)
3 Understanding CNN and RNN.mp4 (4.08 MB)
5 Summary.mp4 (607.24 KB)
1 Challenges of RNN.mp4 (3.4 MB)
2 Overview of LSTM and GRU.mp4 (2.37 MB)
3 Factors Impacting a Stock.mp4 (1.74 MB)
7 Summary.mp4 (627.12 KB)
1 Parameters Impacting the Stock Price of Tesla.mp4 (3.59 MB)
2 LSTM Advantages.mp4 (997.16 KB)
3 Challenges for Wider Acceptance of AI in Finance.mp4 (2.62 MB)
4 Demo - Training Stacked LSTM Model.mp4 (6.5 MB)
6 Summary.mp4 (440.48 KB)
1 Course Overview.mp4 (2.93 MB)
1 Use Case - Customer Segmentation.mp4 (8.08 MB)
2 Use Case - Inventory Management.mp4 (4.82 MB)
3 Use Case - Product Image Classification.mp4 (4.03 MB)
4 Use Case - Price Optimization.mp4 (4.71 MB)
5 Data Collection.mp4 (6.39 MB)
6 Current Trends.mp4 (5.56 MB)
1 Framing the Problem.mp4 (6.49 MB)
2 Implementation.mp4 (4.87 MB)
3 Results.mp4 (4.75 MB)
4 Tips for Success.mp4 (3.13 MB)
1 Framing the Problem.mp4 (3.83 MB)
2 Implementation.mp4 (13.23 MB)
3 Results.mp4 (9.05 MB)
4 Tips for Success.mp4 (3.36 MB)
1 Summary.mp4 (6.32 MB)
1 Course Overview.mp4 (4.12 MB)
10 Summary.mp4 (1.75 MB)
1 Course Overview.mp4 (2.97 MB)
1 Overview.mp4 (1.8 MB)
2 Introduction to Neural Networks.mp4 (9.77 MB)
3 Natural Language Text as Sequential Data.mp4 (5.12 MB)
4 Recurrent Neural Networks (RNNs).mp4 (11.72 MB)
5 Long Short-term Memory Networks (LSTMs).mp4 (10.55 MB)
6 Networks Architectures Using LSTMs.mp4 (8.7 MB)
7 Natural Language Generation Using LSTMs.mp4 (5.76 MB)
8 Summary.mp4 (1.7 MB)
1 Overview.mp4 (1.63 MB)
2 Explore Enron Email Dataset.mp4 (5.65 MB)
3 Extract Plaintext Messages from Raw Email Data.mp4 (8.63 MB)
4 Clean the Email Dataset.mp4 (11.95 MB)
5 Functions to Preprocess the Dataset.mp4 (15.67 MB)
6 Preprocess the Email Dataset.mp4 (10.34 MB)
7 Summary.mp4 (1.04 MB)
1 Overview.mp4 (1.62 MB)
6 Build and Train the Model.mp4 (9.7 MB)
8 Summary.mp4 (1.89 MB)
1 Course Overview.mp4 (3.13 MB)
1 Overview.mp4 (6.5 MB)
5 Summary.mp4 (1.31 MB)
1 Module and Project Overview.mp4 (12.67 MB)
6 Summary.mp4 (1.09 MB)
1 Overview.mp4 (1.48 MB)
8 Summary.mp4 (1.02 MB)
1 Overview.mp4 (1.36 MB)
5 Summary.mp4 (4.18 MB)
1 Course Overview.mp4 (2.76 MB)
1 Why Should We Process Text.mp4 (5.32 MB)
2 Demo - Introducing Globomantics Case Study.mp4 (1.51 MB)
3 Getting the Best out of This Course.mp4 (3.82 MB)
4 Version Check.mp4 (3.2 MB)
5 Outline of the Course.mp4 (2.08 MB)
1 How to Represent Words.mp4 (4.8 MB)
2 First Embedding - One Hot Encoding.mp4 (3.87 MB)
3 Demo - Using OHE.mp4 (31.95 MB)
4 Demo - Analyzing Sentiment with OHE.mp4 (22.41 MB)
6 Demo - Training a CBOW Embedding.mp4 (40.39 MB)
8 What Comes Next.mp4 (3.18 MB)
1 Why Would We Fine Tune Existing Models.mp4 (3.59 MB)
2 Demo - Fine Tuning Glove and FastText.mp4 (64.48 MB)
3 Demo - Making Word Clusters.mp4 (20.4 MB)
4 Demo - Debiase Word Embeddings.mp4 (38.47 MB)
5 Key Takeaways and Tips.mp4 (1.65 MB)
6 Where to Go Next.mp4 (4.04 MB)
1 Course Overview.mp4 (3.1 MB)
3 Content-based Filtering.mp4 (7.02 MB)
4 Collaborative Filtering.mp4 (3.1 MB)
6 Module Summary.mp4 (1.38 MB)
1 Module Overview.mp4 (1.55 MB)
7 Module Summary.mp4 (1.02 MB)
1 Module Overview.mp4 (1.19 MB)
5 Module Summary and Feedback.mp4 (1.43 MB)
1 Course Overview.mp4 (2.6 MB)
1 Building a Foundation.mp4 (9.22 MB)
2 Building up Your Dataset.mp4 (7.3 MB)
3 Demo - Bringing It into Practice.mp4 (29.91 MB)
4 Finalizing Your Dataset.mp4 (606.92 KB)
1 Detector Models, Frameworks, and Libraries.mp4 (12.41 MB)
2 DataFormats and Computing.mp4 (6.01 MB)
3 General Object Detection Script Setup.mp4 (6.25 MB)
4 Training a Model - Scripted and PaaS.mp4 (23.29 MB)
5 Evaluating a Detector.mp4 (3.19 MB)
1 Deployment and MLOps.mp4 (14.21 MB)
2 Drift, Retaining, and Model Store.mp4 (19.13 MB)
3 Inferencing.mp4 (2.37 MB)
4 Summary.mp4 (679.86 KB)
1 Course Overview.mp4 (3.26 MB)
7 Module Summary.mp4 (1.54 MB)
01 Module Overview.mp4 (1.53 MB)
02 STL Decomposition.mp4 (2.89 MB)
10 Module Summary.mp4 (1.88 MB)
1 Module Overview.mp4 (1.03 MB)
3 How to Deal with Anomalies.mp4 (2.58 MB)
4 Module Summary and Feedback.mp4 (1.35 MB)]
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