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Combining AI and biology could solve drug discovery's biggest problems

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Daphne Koller is best known as the cofounder of Coursera, the open database for online learning that launched in 2012. But before her work on Coursera, she was doing something much different. In 2000, Koller started working on applying machine learning to biomedical data sets to understand gene activity across cancer types. She put that work on hold to nurture Coursera, which took many more years than she initially thought it would. She didn't return to biology until 2016 when she joined Alphabet's life science research and development arm Calico.


Top 8 Free Math Courses For Aspiring Data Scientists

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Proficiency in mathematics is essential for aspirants to get started with their data science journey. A strong foundation in mathematics will help beginners to not only learn existing and new machine learning techniques easily but also differentiate themselves from others in the competitive market. Here are top courses on mathematics that aspiring data scientists must take into account while devising their learning strategy. The five-week-long course on Coursera can be the starting point for learners as linear algebra has a wide range of applications in data science practices. Linear algebra is essential when you start learning machine learning techniques right from the basics to advanced approaches.


Future of Robotics: How robotics helps in E-Learning during this COVID-19

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We can't hang out somewhere nice, it's been so long since we last met our friends or families who are stuck overseas and we can't hope for a major change or revolution because the future is that uncertain and this uncertainty just grows every day. It's miserable and sad to see the current state people are in, but kudos to the people who are fighting with their or their loved ones' lives every day, struggling in these trying times, and to the front liners in the health sector who are trying their best to put every possible effort to provide and save the lives of the masses.


Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

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Deep Learning Prerequisites: The Numpy Stack in Python (V2+), Preview this course The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence BESTSELLER Created by Lazy Programmer Inc.  English [Auto-generated] Free Coupon Dicount Online Courses Udemy


Introduction to AI, Machine Learning and Python basics

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Free Coupon Discount Preview this course Introduction to AI, Machine Learning and Python basics, Learn to understand Artificial Intelligence and Machine Learning algorithms, and learn the basics of Python Programming


The State of AI - MIT Technology Review

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Dr. Andrew Ng is a globally recognized leader in artificial intelligence. He was until recently chief scientist at Baidu, where he led the company's approximately 1,300-person AI group and was responsible for driving its global AI strategy and infrastructure. He was also the founding lead of the Google Brain team. In addition, Dr. Ng is co-chairman and cofounder of Coursera, the world's leading MOOC (massive open online course) platform, and an adjunct professor of computer science at Stanford University. He has authored or coauthored over 100 research papers in machine learning, robotics, and related fields.




An honest reaction to Andrew Ng's AI for medicine specialization

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Sometime ago, the world's most affable and recognizable AI leader, Andrew Ng launched a specialization called AI for medicine through his MOOC institution, deeplearning.ai. I have always been a big fan of Andrew Ng, and it was he who had introduced me to the world of machine learning through his grainy Youtube videos of Stanford lectures back in 2012. I was very excited that finally, Andrew Ng has finally turned his attention to the critical shortage of AI experts in the medical field . Truth be told, AI in the medical world has not seen as much progress as other domains like personalized advertisements, recommendations, autonomous driving etc. There are lot of complex issues like data privacy, small sample sizes etc. which I would prefer to discuss in depth in another post.


How to master Machine Learning during lockdown?

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Machine learning is one of the most intriguing applications of Artificial Intelligence. One can start from scratch and learn it by mastering, Python, Anaconda, Jupyter, scikit-learn, NumPy, Matplotlib, and OpenCV.