Photo by Kelly Sikkema on UnsplashMusic recordings can come with a variety of instrumental tracks, such as lead vocals, piano, drums, bass, etc. Each track is called a stem and, for most people, isolating those stems comes quite naturally when they are listening to a song. For example, if you listen to Old Time Rock n Roll, you will hear the piano stem at the beginning, Bob … [Read more...] about Music Source Separation with Spleeter on Google Colab
Artificial Intelligence
Just enough pandas you need to know
23. Rows subset observatonsdata[data.Length > 10] #Extract rows that meet logical criteria.df.sample(frac=0.5) #Randomly select fraction of rows.df.sample(n=10) #Randomly select n rows.df.iloc[10:20] #Select rows by position.24. Count valuesWe can examine how many times a value occurs in the dataset.data["Type 2"].value_counts()25. Select rows and columns using … [Read more...] about Just enough pandas you need to know
I, Arc, am looking to fundraise $30k
Hello people, i am looking to crowdfund a total amount of $30k to support myself for the next 3 years, as I research, learn and build in my interest areas which revolves a lot around Artificial Intelligence among a few other things. One of my current final goals, is to build an Augmented Reality Glass, called Iris, that can replace everything that one does on a daily basis on a … [Read more...] about I, Arc, am looking to fundraise $30k
Why 0.9? Towards Better Momentum Strategies in Deep Learning.
Momentum is a widely-used strategy for accelerating the convergence of gradient-based optimization techniques. Momentum was designed to speed up learning in directions of low curvature, without becoming unstable in directions of high curvature. In deep learning, most practitioners set the value of momentum to 0.9 without attempting to further tune this hyperparameter (i.e., … [Read more...] about Why 0.9? Towards Better Momentum Strategies in Deep Learning.
Achieving human-level performance in QWOP using Reinforcement Learning and Imitation Learning
QWOP is a simple running game where the player controls a ragdoll’s lower body joints with 4 buttons. The game is surprisingly difficult and shows the complexity of human locomotion. Using machine learning techniques, I was able to train an AI bot to run like a human and achieve a finish time of 1m 8s, a top 10 speedrun. This article walks through the general approach as well … [Read more...] about Achieving human-level performance in QWOP using Reinforcement Learning and Imitation Learning
After the Pandemic, Health Care Will Still Be Broken: Artificial intelligence can help fix it.
THIS ARTICLE WAS ORIGINALLY PUBLISHED ON FOREIGN POLICY | FEBRUARY 16, 2021, 12:33 PMEven before the COVID-19 pandemic, health care services around the world were due for a digital transformation; with resources relatively scarce and diagnostics increasingly complicated, the sector needed new technology to allow doctors to provide the best possible care. The pandemic has kicked … [Read more...] about After the Pandemic, Health Care Will Still Be Broken: Artificial intelligence can help fix it.
Can We Predict Performance of an NLP Model without Actually Training or Testing it?
Recently, Natural Language Processing has attracted a lot of research interest which has resulted in a number of models, tasks, datasets, etc. for nuerous languages. This has lead to an explosion of experimental settings making it infeasible to collect high-quality test sets for each setting. Moreover, even for tasks where we do have a wide variety of test data( e.g. machine … [Read more...] about Can We Predict Performance of an NLP Model without Actually Training or Testing it?
Best Companies to Work for as a Data Scientist
Expand your horizons when job hunting for Data Science rolesPhoto by Jordan Whitfield on UnsplashAre you either a Data Scientist actively seeking a job, or are you switching careers to Data Science and wants to know what is out there? If so, this article will give you some insights on where to work as a Data Scientist beyond the traditional tech companies.Obviously, most data … [Read more...] about Best Companies to Work for as a Data Scientist
Stick to your priorities without becoming a robot: improve organizational focus in customer service
This is the fourth post in a series about improving human-bot relations in customer service. See my page to get caught up.Photo: meo via PexelsAbsent a bug in the system, software programs have a hard time getting distracted. An algorithm can repeat the same rote task millions of times without so much as a glance at the football scores. More than this, programs stick to their … [Read more...] about Stick to your priorities without becoming a robot: improve organizational focus in customer service
An Acclimation to AI
I don’t recall my college roommate ever mentioning the term “AI” or “artificial intelligence.” For the better part of two years of college, though, he talked about neural networks non-stop.For the past several years, almost every new or re-invented company we read about is an AI company. I’m not sure how that’s even possible, yet here we are.There is an emerging discussion … [Read more...] about An Acclimation to AI