ML has become a fundamental part of the 21st century; from Netflix recommendations to fraud detection, ML is ever- present in our daily lives. At its roots, ML effectively applies statistics and pattern recognition, we will use these ideas to help solve a range of modern-day problems. C is a very fast language to execute your code and is extensively used when your final "models" are being deployed. If you want to run a program, with a lot of array calculation then C should be your weapon of choice. This course will start off with a broad overview of ML and the varying methods associated with it.
When the machine learning renaissance started in 2013 – thanks to the development of new graphic processing units accelerating data processing by over 100 times – Frans Cronje and Daniel Schwartzkopff started positioning themselves to fill the gap in the South African market. "Daniel and I met while doing our undergrad studies at the University of Cape Town and collectively came up with the idea to start an artificial intelligence (AI) company," says Frans Cronje, the managing director of DataProphet. "At the time there was hardly any competition in the field and skills were scarce, as you could not even study machine learning here." They initially offered machine learning consultancy services to retail, manufacturing and finance companies and from there catapulted into the products market when they started DataProphet in 2015. "We were relatively new to the game.
Reinforcement learning (RL) is hot! It allows programmers to create software agents that learn to take optimal actions to maximize reward, through trying out different strategies in a given environment. This course will take you through all the core concepts in Reinforcement Learning, transforming a theoretical subject into tangible Python coding exercises with the help of OpenAI Gym. The videos will first guide you through the gym environment, solving the CartPole-v0 toy robotics problem, before moving on to coding up and solving a multi-armed bandit problem in Python. As the course ramps up, it shows you how to use dynamic programming and TensorFlow-based neural networks to solve GridWorld, another OpenAI Gym challenge.
You are a data scientist. Every day, you stare at reams of data trying to apply the latest and brightest of models to uncover new insights, but there seems to be an endless supply of obstacles. Your colleagues depend on you to monetize your firm's data - and the clock is ticking. Troubleshooting Python Machine Learning is the answer. We have systematically researched common ML problems documented online around data wrangling, debugging models such as Random Forests and SVMs, and visualizing tricky results.
Unlike Amazon, and many other product and service providers, insurance companies have fewer opportunities to interact with customers, and those opportunities are less rewarding. Their chatbot, Maya, sells inexpensive homeowners' and renters' insurance, and their claims bot, AI Jim, makes Amazon Prime's same-day delivery look slow -- it recently settled a simple claim in three seconds. For example, by reviewing data from closed claims, machine learning algorithms can identify both straightforward claims for automatic processing and complex claims that are more likely to require human intervention. Tractable, a U.K.-based AI technology company, is putting machine learning to use in an interesting way.