Collaborating Authors

Free Online Resources To Get Hands-On Deep Learning


With deep learning gaining its momentum in fields like self-driving cars, object detection, voice assistants and text generation, to name a few, the demand for deep learning experts in organisations has also significantly increased. As a matter of fact, big tech companies like Facebook, Google, Apple as well as Microsoft have started investing heavily on deep learning projects which, in turn, increase the number of deep learning open jobs in the market. Having said that, deep learning is one of the complex subsets of machine learning and envelops several layers of components which cannot be grasped in a day. Hence, despite the high demand, there is indeed a gap in deep learning talent for organisations. Not only does it come with prerequisites of linear algebra and calculus knowledge but also enough interest to pursue a complicated subject like deep learning.

Pyspark MLlib


Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. In the previous sections, we discussed about RDD, Dataframes, and Pyspark concepts.

Beginning Machine Learning: The "Hello World" of Tensor Flow


Editor's Note: This article originally appeared on and is being republished under the guidelines of the Creative Commons Attribution 3.0 License (more legal details at the end of the article). This tutorial is intended for readers who are new to both machine learning and TensorFlow. If you already know what MNIST is, and what softmax (multinomial logistic) regression is, you might prefer this faster paced tutorial. Be sure to install TensorFlow before starting either tutorial. When one learns how to program, there's a tradition that the first thing you do is print "Hello World."

A Full-Length Machine Learning Course in Python for Free


One of the most popular Machine-Leaning course is Andrew Ng's machine learning course in Coursera offered by Stanford University. I tried a few other machine learning courses before but I thought he is the best to break the concepts into pieces make them very understandable. But I think, there is just only one problem. That is, all the assignments and instructions are in Matlab. I am a Python user and did not want to learn Matlab.

How to Learn Machine Learning in 10 Days


I would probably spend the time on simple (yet useful) algorithms that are representative of these fields (and maybe save reinforcement learning for later).