Designed to help understand the fundamentals of DS & Algorithms really well. A must have for programming interviews.

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

On stage at TechCrunch Disrupt last month, Udacity founder Sebastian Thrun announced that the online education company would be building its own autonomous car as part of its self-driving car nanodegree program. To get there, Udacity has created a series of challenges to leverage the power of community to build the safest car possible -- meaning anyone and everyone is welcome to become a part of the open-sourced project. Challenge one was all about building a 3D model for a camera mount, but challenge two has brought deep learning into the mix. In the latest challenge, participants have been tasked with using driving data to predict steering angles. Initially, Udacity released 40GB of data to help at-home tinkerers build competitive models without access to the type of driving data that Tesla of Google would have.

Not everyone needs to learn how to program the robots, but we'll all need to get comfortable working with algorithms and bots as well as people. Will they be friends or foes? And what can individuals do to position themselves for success in this brave new world? I just read an incredible statistic in a Harvard Business Review article: "By 2020, the US economy is expected to create 55 million job openings; and 24 million of these will be entirely new positions. One could argue the items on that list have always been valuable career currency, but it's only now -- in the face of competition from AI technologies -- that they're getting their full due.

You don't want to miss this opportunity in learning practical knowledge in Tech. If you ever wanted to understand the space of Bots or build them yourself, then take my course "How to Build Chat Bots: From Beginner to Expert". I designed it in a practical way so that when you finish the content you can immediately put it into use. Bots are the next big trend according to media journals, silicon valley companies, and web developers. The barrier of entry to build a bot is low enough, but the amount of traction you can get is enormous.

Artificial Intelligence (AI) is fast becoming a buzzword in the technology industry. If you are following up technology news, you will get to read eye catching AI news almost every day. Large companies are realising that they will be at a loss if they remain behind in acquiring competence in AI. Prominent technology companies like Google, Facebook, Microsoft and IBM are investing billions of dollars in developing AI teams and technologies. Venture capitalists are investing in a number of start-ups promising to make AI products.

You can now apply for the November Term of Udacity's Self-Driving Car Engineer Nanodegree! (udacity.com) Has anyone here heard back about the October term yet? I think emails were going to be sent out today. I'd also like to know... plus, you win the handle of the year award LOLz

Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.

This team has decades of practical experience in working with Java and with billions of rows of data. If you are an analyst or a data scientist, you're used to having multiple systems for working with data. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code. Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease.

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.