CG数据库 >> Zero To Hero Python 3 Full Stack Masterclass 45 Ai Projects

.MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + .VTT | Duration: 30 hours | Size: 14.9 GBHTML To Artificial Intelligence Deep Learning bootcamp Cornell University course w/Machine Learning! New for 2018!Requirementshave a PC or mac.

Must have desire to learn programming.

HD monitor is preferred.

DescriptionMy name is GP.

I used AI to classify brain tumors.

I have 11 publications on Pubmed talking about that.

I went to Cornell and taught at UCSF, NIH, Cornell University and Amherst College.

We are offering LIVE HELP M-F 9-5 and also outside those hours when online.

This course will be continually updated and we answer all questions. We will continue updating content based on both user demand and changes in machine learning and AI. If you have taken a previous bootcamp but still are struggling, this course will fill in the holes and have you applying Python on lots of different projects. You will learn faster byThis is the only fullstack course that teaches you everything from basic frontend HTML to Python 3, Machine learning, Tensor Flow, and Artificial Intelligence / Recurrent Neural Networks!This is a large course, but it is still easy! The secret to this course is that to learn rapidly, we present information in small steps, so that no one step seems difficult.

Of course, there are lots of steps, so the knowledge builds fast, but its on a very strong foundation.

This is the definitely the most advanced yet simple Python fullstack course online.

There is no other course ANYWHERE that goes as far into Data Science and Machine learning/ Artificial Intelligence as a stand alone topic, let alone with a FULLSTACK Python course preceding the data science.

We can literally take someone with no programming experience and have them doing AI programs in about 2 weeks (or faster if they study daily).

Whether you have never programmed before, already know basic syntax, or want to finally advance your skillset, this course is for you! In this course we will teach you HTML, CSS, Bootstrap, Javascript, jQuery and Python 3.

With over 170 lectures and more than 30 hours of video this course is extremely comprehensiveWe cover a wide variety of topics, including:HTMLCSSBootstrap (to make responsive websites fast!)Javascript (to interact with users)jQuery (to further interact with users using clicks and mouseovers)Installing PythonRunning Python CodeStringsExternal ModulesObject Oriented ProgrammingInheritancePolymorphismListsDictionariesTuplesSetsNumber Data TypesPrint FormattingFunctionsScopeargs/kwargsBuilt-in FunctionsDebugging and Error HandlingModulesFile I/OAdvanced MethodsDecorators/ Advanced Decoratorsand much more!For Data Science / Machine Learning / Artificial Intelligence1. Machine Learning2. Training Algorithm3. SciKit4. Data Preprocessing5. Dimesionality Reduction6. Hyperparemeter Optimization7. Ensemble Learning8. Sentiment Analysis9. Regression Analysis10.Cluster Analysis11. Artificial Neural Networks12. TensorFlow13. TensorFlow Workshop14. Convolutional Neural Networks15. Recurrent Neural NetworksTraditional statistics and Machine Learning1. Descriptive Statistics2.Classical Inference Proportions3. Classical InferenceMeans4. Bayesian Analysis5. Bayesian Inference Proportions6. Bayesian Inference Means7. Correlations11. KNN12. Decision Tree13. Random Forests14. OLS15. Evaluating Linear Model16. Ridge Regression17. LASSO Regression18. Interpolation19. Perceptron Basic20. Training Neural Network21. Regression Neural Network22. Clustering23. Evaluating Cluster Model24. kMeans25. Hierarchal26. Spectral27. PCA28. SVD29. Low DimensionalWho is the target audience?Beginners who have never programmed before.

People who took a programming bootcamp but are looking to apply that knowledge to build something other than very basic projects.

Intermediate Python programmers who want to understand Artificial Intelligence Programming.

Anyone who wants to learn fullstack in Python 3 and apply it to making AI immediately.

If you are a Python 3 Expert, you will still gain knowledge from the 45 projects.

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


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发布日期: 2018-10-12