Artificial Intelligence Bootcamp 44 projects Ivy League pro

 Buy Now
  

Price: 199.99$

My name is Gopal.  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 Tensor Flow. 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 Intelligence1. Machine Learning2. Training Algorithm 3. Sci Kit 4. Data Preprocessing 5. Dimesionality Reduction 6. Hyperparemeter Optimization 7. Ensemble Learning 8. Sentiment Analysis 9.  Regression Analysis10. Cluster Analysis11. Artificial Neural Networks 12. Tensor Flow 13. Tensor Flow Workshop 14. Convolutional Neural Networks 15. Recurrent Neural Networks Traditional statistics and Machine Learning1. Descriptive Statistics2. Classical Inference Proportions 3. Classical Inference Means4. Bayesian Analysis5. Bayesian Inference Proportions6. Bayesian Inference Means7. Correlations11. KNN12. Decision Tree 13. Random Forests 14. OLS 15. Evaluating Linear Model 16. Ridge Regression17.  LASSO Regression18. Interpolation 19. Perceptron Basic20.  Training Neural Network 21. Regression Neural Network 22. Clustering23. Evaluating Cluster Model24. k Means25. Hierarchal 26. Spectral 27. PCA 28. SVD 29. Low Dimensional