Viva La Data Revolution: Introduction to Tools & Algorithms in Data Science & Machine Learning                        
                    
                            VIRTUAL PREDICTIVE BUSINESS ANALYTICS, FORECASTING & PLANNING CONFERENCE                        
                    
                Viva La Data Revolution: Introduction to Tools & Algorithms in Data Science & Machine Learning            
            You will learn:
- How machine learning works and its applications
- Practical tips to start using machine learning models
- Machine Learning algorithms, including Decision Trees, K-Means, K-Nearest Neighbors, Linear Regression, and Naïve Bayes, and how and when to use them
- The terminology, uses, and conceptual methodology of many of the most common data science tools
- A variety of resources to start or continue developing a machine learning skillset
 
                            
                                Wes Womer, CPIM                            
                            
                                Director of Financial Planning & Analysis                            
                            
                                P1 Dental Partners                            
                        Wes Womer, CPIM, is the Director of Financial Planning & Analysis for P1 Dental Partners. Though Finance is his first love, he spent 5 years as a Demand Planning Manager at Stanley Black & Decker during which time he joined APICS and became a CPIM. Since S&OP and Finance (and almost everything else) aims to incorporate big data and machine learning, he recently earned a Master of Science in Data Science from Indiana University.
 
                                                                             
                                                                             
                                                                             
                                                                             
                                                                             
                                                                             
                                                                             
  