Kunal Joshi

Discover how data augmentation improves generalization and robustness of machine learning models by enhancing the size and diversity of datasets with transformations like rotation, translation, scaling or adding noise. With larger datasets, machine learning models become more resilient to overfitting, more robust to changes in the real world and training processes more cost-effective. Read this article to know more about the different data augmentation techniques for various data types and how to strike a balance between variability and dataset integrity. Boost your machine learning algorithms' performance by building more accurate and robust models with data augmentation.

Snowflake is disrupting the data warehousing industry and taking market share from legacy incumbents like IBM and Oracle. With a comprehensive end-to-end platform and significant growth potential, it's an attractive option for long-term investors.

Learn how machine learning-based prediction models can improve outcomes for patients with acute kidney injury in the ICU. These models identify at-risk patients and improve clinical decision-making.

Leading universities in the US have partnered with edX to offer a 10-week Machine Learning (ML) and Artificial Intelligence (AI) MicroBootCamp program. Designed for tech professionals seeking core skills in AI and ML, the project-based curriculum covers topics such as neural networks and natural language processing. Enrolment is open now for July 2023 cohorts on edX.org. Python proficiency and expertise in mathematics, including multivariable calculus and statistics, are expected, while the program fee is $3,499. EdX has also released five ChatGPT open courses to aid the development of prompt engineering skills in AI.

Discover how machine learning is empowering designers to create personalized experiences, automate A/B testing, generate countless design options and make informed decisions for their designs. Read on!