Online Training ZERO to HERO Python 3 FULL STACK MASTERCLASS 45 AI projects by Udemy

Get yourself trained on ZERO to HERO with this Online Training ZERO to HERO Python 3 FULL STACK MASTERCLASS 45 AI projects.

Online Training ZERO to HERO Python 3 FULL STACK MASTERCLASS 45 AI projects

My name is GP. IusedAI to classify brain tumors. Ihave 11 publications on Pubmed talking about that. Iwent to Cornell and taught at UCSF, NIH, Cornell University and Amherst College.We are offering LIVEHELPM-F 9-5 and also outside those hours whenonline.This course will be continually updated and we answer all questions. We will continue updating content based on both user demand and changes in machinelearning 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 frontendHTML 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 insmall steps, so that no one step seems difficult.Of course,there are lots of steps, so the knowledge builds fast, but itson a very strong foundation.This is the definitely the most advanced yet simple Python fullstack courseonline. 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 FULLSTACKPython 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 willteach you HTML, CSS, Bootstrap, Javascript, jQuery andPython 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 Analysis 9. 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. Hierarchal 26. Spectral 27. PCA 28. SVD 29. Low DimensionalYou will get lifetime access to over 180 lectures plus corresponding Notebooks for the lectures!This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you’ll get your money back.Learn Python and AI in the easiest possible way, so you can advance your career quickly and easily. Who 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.

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Investing in yourself through Learning

As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.

And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.

Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.