Machine Learning Made Simple

Registration Link - https://bit.ly/3Aios5K 14 Days. 10 Speakers. All-Inclusive Program. Career Tips. Free of Charge. Have you ever dreamt of becoming a data science rockstar and launching a career in Silicon Valley? We know the fastest pathway and can’t wait to share it with you. 💁 ⚡ Register to the first edition of our well-packed ML marathon right now. During the 14 days of comprehensive online webinars you will: 📌 find out insider tips from the leading experts about how to quickly start a successful data science career in Silicon Valley; 📌 level up your theoretical knowledge and learn breakthrough approaches to the creation of turnkey ML solutions without coding; 📌 boost your practical skills and master the ways to solve real-world challenges with ML; 📌 discover how to create TinyML models and embed them into the edge devices; 📌 get an overview of the current industry landscape, latest ML trends, and tools. 🎁 All participants will have a chance to take part in a special competition by Neuton.AI. Build a predictive model with a preassigned dataset and compare its accuracy with Neuton’s model. The creator of the most accurate model will be awarded with a free 3-month premium subscription to the Neuton.AI Platform. Duration: 1.5 hours daily Time: 7:00 PM IST - 8:30 PM IST (+5.30 GMT) Join our marathon today to skyrocket your data science career tomorrow! 🚀 Program: Block 1: Career Prospects 👨‍💻 9/27/2021 Machine Learning in a Nutshell by Soham Sharma Bringing Silicon Valley to Student by bridging gap between colleges and real-world by Gurumurthy Yeleswarapu, Siliconvalley4u 9/28/2021 How to take up data career. Your Ticket to the BIG Data Science World: Enter the Largest International Community of DS and business experts, AI Guild by Dr. Chris Armbruster Block 2: Actionable AutoML Tools 🛠️ 9/29/2021 Master Data Science without a Single Line of Code, Leveraging Neuton.AI [Live Demo Included] by Alex Miller & Danil Zherebtsov Block 3: Theory & Practice 💻 9/30/2021 The Fundamentals of Linear Regression (Theory) by Pallab Nath 10/1/2021 The Fundamentals of Linear Regression (Practice) by Pallab Nath 10/2/2021 Introduction to Support Vector Machines (Theory) by Dr. Promit Ray 10/3/2021 Introduction to Support Vector Machines (Practice) by Dr. Promit Ray 10/4/2021 The Art of Logistic Regression (Theory) by Namita Konnur 10/5/2021 The Art of Logistic Regression (Practice) by Namita Konnur 10/6/2021 KNN | Tips and Tricks (Theory) by Vivek Nair 10/7/2021 KNN | Tips and Tricks (Practice) by Vivek Nair 10/8/2021 In-Depth: Decision Tree + Random Forest (Theory) by Suram Saraswati Anugna 10/9/2021 In-Depth: Decision Tree + Random Forest (Practice) by Suram Saraswati Anugna Block 4: Industry Trends 💡 10/10/2021 TinyML: AI Intelligence for Edge Devices [Case Included] by Danil Zherebtsov