For you aspiring data professionals and data science enthusiasts, I have some bad news. The democratization of data science and machine learning (ML) has meant that if you want to start a career in these fields, there are no excuses. There are so many resources out there that anyone (in principle) can now learn data science and ML.
I also have good news though, we want to show you how! So we have put together an amazing series of ML talks (see below) that will walk you through the process and (hopefully) take much of the mystery out of it. Here is a description of our webinar series from our Linkedin page, we will follow this up with introductory machine learning articles leading up to the event as well as recordings from the webinars.
Have you ever dreamt of becoming a data science rockstar and launching a career in Silicon Valley? We can help lead you down the fastest pathway and can’t wait to share it with you.
Our all-inclusive program will be spread over 14 days with 10 Speakers with career tips from the experts. Everything on our program is absolutely free.
Register to the first edition of our well-packed ML marathon right now right here.
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 that constructed by Neuron.AI. 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!
Block 1: Career Prospects
9/27/2021 Machine Learning in a Nutshell by Soham Sharma
9/28/2021 How to take up data career.
Block 2: Actionable AutoML Tools
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