Abstract: Kirill is one of the creators of the Machine Learning A-Z course which has over 26,000 students: www.udemy.com/machinelearning - in this session he will break down the complexities of Machine Learning for beginners. He will describe the intuition behind three select algorithms (Naive Bayes, Support Vector Machine and Thompson Sampling - although these may change), showcase some coding libraries both in R and Python and then demonstrate the practical real-world applications of each algorithm. The goal is for listeners to walk away with an intuitive understanding of three ML algorithms, a good overview of how they could use them in their work and an inspired passion for exploring Machine Learning further.
Bio: Kirill Eremenko is a lifestyle entrepreneur with 3 years of experience in the space of education and 7 years of experience in Data Science. With 20+ online courses and over 100,000 students world-wide, Kirill is passionate about delivering high-quality accessible education to every human on this planet. Kirill is the founder and CEO of SuperDataScience, an online educational portal for Data Scientists. The company’s mission is to “Make The Complex Simple” with the vision of becoming the biggest learning portal for Data Science enthusiasts. The platform features dozens of analytics courses ranging from tool- based courses such as R Programming, Python, Tableau to over-arching courses like Machine Learning A- Z and intro to Data Science. Kirill is also the host of the SuperDataScience Podcast on iTunes which brings listeners the most inspiring Data Scientists, Analysts and other professionals who leverage the power of Data from around the World to help viewers build successful careers in Data Science.