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    Объявления

    Artificial Intelligence Bootcamp 44 projects Ivy League pro

    19-10-2018, 15:26 Bo0mB0om
    Книги журналы
    Artificial Intelligence Bootcamp 44 projects Ivy League pro
    Artificial Intelligence Bootcamp 44 projects Ivy League pro
    .MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 6.32 GB
    Duration: 13.5 hours | Genre: eLearning | Language: English

    Be a Machine Learning, MatDescriptionlib, NumPy, and TensorFlow pro. Use AI for programming, business or science!


    What Will I Learn?

    Code for image recognition, handwriting recognition, data analysis, and create recurrent neural networks.

    Requirements

    Some experience with Python is needed. Statistics would be helpful but not required.

    Description

    My name is GP. I used AI to classify brain tumors. I have 11 publications on pubmed talking about that. I went to Cornell University and taught at Cornell, Amherst and UCSF. I worked at UCSF and NIH.

    AI and Data Science are taking over the world! Well sort of, and not exactly yet. This is the perfect time to hone you skills in AI, data analysis, and robotics, Artificial Intelligence has taken the world by storm as a major field of research and development. Python has surfaced as the dominant language in intelligence and machine learning programming because of its simplicity and flexibility, in addition to its great support for open source libraries and TensorFlow.

    This video course is built for those with a NO understanding of artificial intelligence or Calculus and linear Algebra. We will introduce you to advanced artificial intelligence projects and techniques that are valuable for engineering, biological research, chemical research, financial, business, social, analytic, marketing (KPI), and so many more industries. Knowing how to analyze data will optimize your time and your money. There is no field where having an understanding of AI will be a disadvantage. AI really is the future.

    We have many projects, such natural language processing , handwriting recognition, interpolation, compression, bayesian analysis, hyperplanes (and other linear algebra concepts). ALL THE CODE IS INCLUDED AND EASY TO EXECUTE. You can type along or just execute code in Jupyter if you are pressed for time and would like to have the satisfaction of having the course hold your hand.

    I use the AI I created in this course to trade stock. You can use AI to do whatever you want. These are the projects which we cover.

    For Data Science / Machine Learning / Artificial Intelligence

    1. Machine Learning
    2. Training Algorithm
    3. SciKit
    4. Data Preprocessing
    5. Dimesionality Reduction
    6. Hyperparemeter Optimization
    7. Ensemble Learning
    8. Sentiment Analysis
    9. Regression Analysis
    10.Cluster Analysis
    11. Artificial Neural Networks
    12. TensorFlow
    13. TensorFlow Workshop
    14. Convolutional Neural Networks
    15. Recurrent Neural Networks

    Traditional statistics and Machine Learning

    1. Descriptive Statistics
    2.Classical Inference Proportions
    3. Classical InferenceMeans
    4. Bayesian Analysis
    5. Bayesian Inference Proportions
    6. Bayesian Inference Means
    7. Correlations
    11. KNN
    12. Decision Tree
    13. Random Forests
    14. OLS
    15. Evaluating Linear Model
    16. Ridge Regression
    17. LASSO Regression
    18. Interpolation
    19. Perceptron Basic
    20. Training Neural Network
    21. Regression Neural Network
    22. Clustering
    23. Evaluating Cluster Model
    24. kMeans
    25. Hierarchal В-26. Spectral
    27. PCA
    28. SVD
    29. Low Dimensional

    Who is the target audience?

    Beginning to Pro Python Developers who want to get started using Machine Learning in a realistic way using numerical or image data sets.


    Artificial Intelligence Bootcamp 44 projects Ivy League pro
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