Data Scientist’s Role in Emerging AI
Do you want to know what the industry expects from a Modern Data Scientist? To keep your job as a Data Scientist, what skills do you need to add to your repertoire? If you seek that job of a Modern Data Scientist, what do you need to learn? Watch, Enjoy and Gain Knowledge!
Data Scientist v/s Machine Learning Engineer
With thousands of job opportunities you see for a Data Scientist, you must have come across the term Machine Learning Engineer. What is the difference between the roles played by a ML Engineer and a Data Scientist? Are these roles distinct? What skills do you need? To understand, watch this video.
Hyper-Parameter Tuning using Optuna
Selecting the appropriate values for the algorithmic parameters is a daunting task. Many try to get the optimal values by trial-n-error. In this tutorial, I will show you how to fine-tune the algorithmic parameters for any classical machine learning algorithm using Optuna framework.
ML for Breast Cancer Tumor Diagnosis
Medical datasets are typically small, primarily because of the patient's consent and privacy. They usually contain many dependent features. Building highly predictive ML models on such datasets is an enormous challenge for Data Scientists. Learn EDA techniques to reduce the features count.
Object Detection and Tracking
Have you ever wondered how to track, say, a celebrity or a politician in a real-time video? The real-time tracking of a specified subject is much more complex than a simple object detection and tracking. This tutorial shows an implementation based on the research paper by Nicolai Wojke, et al.
Do you want to mask out your face or a celebrity’s image in a picture? Learn image segmentation technique in this tutorial that will allow you to mask any object with a color of your choice and masking transparency. Do this for a still image, a captured video or even a live video stream.
Super Fast Real Time Object Detection, Segmentation and Tracking
Interested in knowing how an autonomous car detects and tracks objects in its path in actual time? This tutorial will show the use of one such machine learning model that performs real time object detection at super fast speeds.
Link Prediction using Similarity Measures
Link predictions in social networks using similarity measures gives better results. In this tutorial, you will learn the application of several popular similarity measures applied to a network you developed in the first two parts of this series.
Random Forest - An Efficient Python Implementation
The Random Forest algorithm is considered one of the best algorithms for classification. Do you wish to learn an in-depth efficient implementation of this algorithm in Python? Understand bagging, entropy, information gain and all that you want to know in Random Forest implementation.
AutoML using H2O
Do you want to show your skills in machine learning model development? And do not understand the implementation of a plethora of ML algorithms available in the industry? The H2O framework provides a simple way to select the best performing algorithm on your dataset and even design a DNN.
Link Prediction Using Node2Vec
Ever wondered how Facebook suggests ‘people you may know’ and how Amazon recommends ‘people who bought this also bought?’ We use a trained machine learning model on a humongous dataset for such tasks. Read this article to understand the basics of link predictions in social network analysis.
BERT Based Q&A System
Want a quick answer to your question on a text passage that you do not have enough time to read? A BERT based QnA model published by Hugging Face will do the trick. This tutorial provides a trivial interface for entering a passage, and the trained model provides answers to any of your questions.
An In-depth Guide to Social Network Analysis
Ever wondered how Facebook suggests “People you may know” so accurately? Want to implement a similar feature for your company’s network? Want a suggestion on CTC for a recruit at your company’s Cupertino location? Learn fully the social network Analysis and Predictions in this three-part series.
Career In Machine Learning
With plethora of online educational institutions offering career courses in Machine Learning, one gets easily confused. Dr. Sarang has more than 35 years of academic and industry experience, briefing you on the different fields of ML, and helping you choose the right learning path.