Old Search System: Machine Learning with Jupyter Notebooks in Amazon



  • A to Z (NLP) Machine Learning Model building and Deployment

    Broknote

    A to Z (NLP) Machine Learning Model building and Deployment

    A to Z (NLP) Machine Learning Model building and DeploymentVideo: .mp4 (1280x720, 30 fps(r)) |...


    What you'll learn
    Developing the NLP Model for Sentiment analysis and Machine learning deployment on local server using flask and docker.
    Select the most efficient Machine Learning Model,Tune the hyper-parameters and selecting the best model using cross-validation technique
    A quick discussion from the basic in nutshell about DevOps tools like...

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  • Oreilly - Data Science and Machine Learning Series: Introduction to Cryptanalysis

    Coktum

    Oreilly - Data Science and Machine Learning Series: Introduction to Cryptanalysis

    Oreilly - Data Science and Machine Learning Series: Introduction to Cryptanalysis by Zacharias Voulgaris PhD...


    Learn all about cryptanalysis (also known as “hacking”) and its importance to data security and data privacy. Cryptanalysis exploits system vulnerabilities leading to a system which is more robust and less prone to real cyberattacks. We delve into the various encryption and decryption components and describe specific strategies for cryptanalysis...

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  • Machine Learning for Absolute Beginners - Level 2

    Broknote

    Machine Learning for Absolute Beginners - Level 2

    Machine Learning for Absolute Beginners - Level 2Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac,...


    What you'll learn
    Python for Data Science and Machine Learning Projects
    Learn to use the Pandas Data Science Library
    JupyterLab Development tool
    Develop Jupyter Notebooks
    Loading and Analysing Tabular Datasets
    Selecting, Filtering, and Cleaning Data
    Grouping, Sorting, and Exporting Data
    Requirements
    There are no specific prerequisites for starting this training as...

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  • Oreilly - Data Science and Machine Learning Series: Julia for Data Science, Revisited

    Coktum

    Oreilly - Data Science and Machine Learning Series: Julia for Data Science, Revisited

    Oreilly - Data Science and Machine Learning Series: Julia for Data Science, Revisited by Zacharias...


    Learn how Julia is used within data science today, including for Artificial Intelligence (AI) applications. See how Julia fits with existing programming paradigms and frameworks (such as Jupyter and Juno), understand why it is such a powerful and popular language for data science applications, and visit resources to learn more...

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  • Oreilly - Data Science and Machine Learning Series: Privacy Matters in Data Science

    Coktum

    Oreilly - Data Science and Machine Learning Series: Privacy Matters in Data Science

    Oreilly - Data Science and Machine Learning Series: Privacy Matters in Data Science by Zacharias...


    Learn all about data privacy and how it can make or break your data science project. See how artificial intelligence (AI) can impact privacy, both positively and negatively. Understand the connection with GDPR and explore the privacy techniques of encryption, anonymization, and PCA.Here is a link to all of Zacharias...

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  • Oreilly - Data Science and Machine Learning Series: AI Optimization Methods for Data Science

    Coktum

    Oreilly - Data Science and Machine Learning Series: AI Optimization Methods for Data Science

    Oreilly - Data Science and Machine Learning Series: AI Optimization Methods for Data Science by...


    This video covers the most popular Artificial Intelligence (AI) optimization methods for data science. There are five clips in this video series: Optimization Methods Overview. This first video in the series covers the rationale for optimization methods along with an overview to the main optimization tools, including deterministic, stochastic, and...

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  • Oreilly - Data Science and Machine Learning Series: Machine Learning for Data Science

    Coktum

    Oreilly - Data Science and Machine Learning Series: Machine Learning for Data Science

    Oreilly - Data Science and Machine Learning Series: Machine Learning for Data Science by Zacharias...


    What is machine learning and how can you apply it to data science projects? In this video we explain machine learning along with its variations (supervised learning, unsupervised learning, and heuristics), provide machine learning use cases, contrast machine learning with statistics, and discuss the various machine learning and AI tools...

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  • Oreilly - Data Science and Machine Learning Series: Evaluating Data Science Material (Data Science Series)

    Coktum

    Oreilly - Data Science and Machine Learning Series: Evaluating Data Science Material (Data Science Series)

    Oreilly - Data Science and Machine Learning Series: Evaluating Data Science Material (Data Science Series)...


    With all of the available data science material available to us, how do we determine which subset is truly valuable? This video will teach you how to find the diamonds in the data science haystack. Learn how to evaluate data science material. We will cover the criteria used to determine...

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  • Oreilly - Data Science and Machine Learning Series: Extreme Learning Machines (ELMs) within Artificial Intelligence (AI)

    Coktum

    Oreilly - Data Science and Machine Learning Series: Extreme Learning Machines (ELMs) within Artificial Intelligence (AI)

    Oreilly - Data Science and Machine Learning Series: Extreme Learning Machines (ELMs) within Artificial Intelligence...


    Learn all about the Extreme Learning Machine (ELM) Artificial Neural Network (ANN), and how you can best leverage it within Artificial Intelligence (AI) and data science projects including within regression, alternate feature generation, and classification. We cover the ELM architecture along with the ELM packages available in Julia and Python....

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  • Oreilly - Data Science and Machine Learning Series: The Business Aspect of Artificial Intelligence (AI) in Data Science

    Coktum

    Oreilly - Data Science and Machine Learning Series: The Business Aspect of Artificial Intelligence (AI) in Data Science

    Oreilly - Data Science and Machine Learning Series: The Business Aspect of Artificial Intelligence (AI)...


    How can our businesses best benefit from Artificial Intelligence (AI)? We cover the relevant technologies necessary to make the most out of AI, such as GPUs to enable deep learning networks, quantum computing, and the cloud. We explore which industries and applications benefit most from AI, such as finance and...

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  • Oreilly - Data Science and Machine Learning Series: Data Science Ensembles

    Coktum

    Oreilly - Data Science and Machine Learning Series: Data Science Ensembles

    Oreilly - Data Science and Machine Learning Series: Data Science Ensembles by Zacharias Voulgaris PhD...


    Learn about combining multiple data science models together to create an even more powerful model. Ensembles are a very powerful tool in data modeling, especially when it comes to raw performance. We cover an explanation of ensembles including the reasons the sum can be greater than the parts, the various...

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