Introduce yourself to the deeplearning.ai community - Tell us why you want to break into AI!
I'll start! My name is Andrea, and I'm from San Mateo, California. I'm a Marketing Specialist at deeplearning.ai, and I'm committed to helping make a world-class AI education accessible to people around the globe so that we can all benefit from an AI-powered future. I love hearing how deep learners are breaking into AI, especially if they come from unconventional backgrounds. Looking forward to getting to e-meet you all and helping each other learn deep learning!
My name is Paul Mielke and I came to Deep Learning through Prof Ng's amazing Coursera courses. My academic background is in math, but I've spent an entire career in software engineering and engineering management in Silicon Valley. My first exposure to Machine Learning was taking Prof Ng's original Stanford Machine Learning course on Coursera back in 2014. It seemed like the perfect intersection of math and software and I was hooked. They invited me to become a TA for that course and I've been doing that pretty much ever since. When the new Deep Learning Series was introduced on Coursera in summer 2017, they invited the mentors from the classic ML series to be mentors for DL as well. In the early days, we were frantically taking the courses to stay ahead of all the questions pouring in from the other students. It has been a great experience to get exposed to all the new material and developments since the original ML course.
I should say that I have no experience actually applying ML and DL to real world problems and haven't tried any Kaggle contests or the like. I look forward to participating here as a DL Ambassador. For the moment, my goal is to help with the education aspect of this whole endeavor both in terms of helping to influence the content and mechanics of the various courses and by helping other students learn the material through forum interactions and discussions.
I look forward to meeting all of you on the forums!
Hey everyone, I'm Chris Morrow, I'm a Sr. PM-T at Amazon in Seattle. Sometimes I feel like I didn't get the message growing up; my dad is a UX engineer, my sister is an SDE, and my brother is a Mechanical Engineer. I majored in International Affairs, spent 10 years as a U.S Army Officer, and recently graduated business school. I've been fascinated with Machine/Deep Learning since a Generative Adversarial Network (GAN) demo while interning at Microsoft. Since that demo, I've been convinced Deep Learning is the combustion engine of our time. It's an exciting time to be part of this field and I look forward to meeting everyone!
Hi, I’m Wolfgang and I´m from Munich in Germany. I am 52, married with two children and two step children and for the last half a year, I have been working as an AI programmer. Before that, I was a journalist (for almost 30 years). Like many others I have no data science background and almost everything I know about AI I learnt in the courses and specialization of Andrew Ng on Coursera. It’ s great fun and I am very grateful that I got the opportunity to change my profession. I love the amazing possibilities and challenges of deeplearning projects and I am very happy to help others to find their way into that field.
I am an IT engineer from India working currently as a data scientist in a US-based firm. I started my AI journey along-with my full-time job as a Business Consultant. I'm currently working with a US-based company as a Data scientist. I have worked with big clients and helped them in making decisions for their businesses like, how much inventory should be made available each day in each store, what are the features of their products (mobile, laptop) that customers disliked and needs to be improved upon, predict the sales of new products on their online stores.
My name is Thomas, and I live in Washington state. I have an undergraduate degree in Mechanical Engineering followed by graduate degrees in Ocean Engineering. I have worked for 24 years as a marine consultant/researcher doing marine climatology statistics, and modeling & simulation of the dynamic behavior of ships and other offshore systems. My first brush with AI was thru Peter Norvig's and Sebastian Thrun's first MOOC, "Introduction to Artificial intelligence", back in 2011. Then this year, I completed the Deep Learning Specialization here on deeplearning.ai, and mentored the Convolutional Neural Networks course. It was a wonderful learning experience, and like Paul Mielke said in the earlier post, I find Machine Learning to be the perfect confluence of Mathematics, Computer Science and coding for me! Currently, I am exploring opportunities to work in AI.
Hi all - I'm Jan from Germany and I've binge watched all online courses from Andrew. I currently work as a Data Scientist for a Volkswagen owned company in Berlin. We're working in the realm of self-driving cars and try to support as many processes as possible with ML. We're currently working with Deep Learning on an image processing task, the EU GDPR regulation got half of Europe on its heels. Very happy to be part of this community and to continue to give back! Special thanks @Andrea Lim for inviting and @Kian for creating the great course content! 🙂
Hey everyone ! I'm Sylvain, from France. I am currently a PhD candidate in applied mathematics for MRI, but this will soon change and I'm looking forward working more in the AI community.
I began with ML while during the last year of my engineering school. I knew I had the mathematical background to understand the concepts but I wanted to see how powerful these tools were, and I wasn’t disappointed, the amount of problems you can solve with them is infinite and the field is moving fast, which shows its appeal. After having played with classical DL algorithms I wanted to see what DL was.
I took the DL specialization for two reasons :
- I know Kian for quite a long time and he was searching for people to beta test the course. He helped me when we had to study for econ 101 and other stuff, so I had to help him back !
- I was working as an intern at NYU's center for data science about a MRI problem, that we decided to solve using classical optimization strategies. It took us four months to wrap it up and I still had two more months to work on this problem, and decided that it could be a good idea to use DL to try and solve this problem. DL can match so many frameworks, after the course I decided to train some network on synthetic data I could generate and try to see if those DL approaches would work. It worked pretty well and I had a lot of fun playing with different kinds of networks to see their accuracy
The DL course helped me to handle properly the tools that I would need, the examples were great and of course the way the course was taught really was incredible.
Hi everybody, I am Andreia from Portugal and I am glad to be a part of this group of deep learners of deep learning 🙂
My background is in business administration but have been moving towards tech, learning coding and other tech related topics for some time now - heavily using platforms such as Coursera to support me in this journey.
I started doing the AI specialization because I heard many people talking about AI and its implications but felt that most didn't really know what they were talking about. If it is true the extent of its impact then think that almost everybody should have some notions about what is under the hood.
I'm all in for helping bring this topic to the largest number of people!
Hope to learn a lot with you all and contribute to the creation of a healthy and thriving AI community!
My name is Nelson, and I'm currently an Analyst at BlackRock and I'm also participating in Georgia Tech's Online Computer Science Master's Program. I'm very interested in topics around machine learning and general analytics. I really try to enjoy topics that try to understand and model human behavior - and thus I really like aspects related to game theory as well (which also is very related to RL which is my current, recent fascination). I'm definitely very open to learning more about the AI space, as well as ML. Beyond my master's coursework, I enjoy Coursera and Safari courses such as the Deep Learning and Machine Learning courses that were created by Andrew Ng.
In the near future, I'm trying to really contextualize how ML/AI can actually help create economic value, so I'm trying to explore industry problems that are more low-hanging fruits that can benefit more directly. Some cool things I've done where I've applied algorithms is when I worked as a consultant for WorldQuant where I generated and backtested trading strategies, and when I built a mixed-integer linear programming solution at Microsoft for their cloud infrastructure team. Still trying to find cool problems to solve! 🙂
Hi all of you, my name is Abderrahim El Bouziady from Morroco, I m currently a PhD student in Mohamed V University and a Researcher in MAScIR laboratory. I had a master degree in CS 2 years ago from the UCA in Marrakesh. I spent 2 years of my PhD working on Machine Learning and Computer Vision techniques and how to use them to build Intelligent Transport Systems for traffic management and other AI applications. Pr Adrew Ng AI courses in Coursera inpired me and helped me a lot in my PhD. I m really proud of being a member in deeplearning.ai community.
Greetings! I’m Atul Acharya, from Mountain View in the heart of SF Bay area, and I’m super excited to be an ambassador for DeepLearning.ai.
I’m a holistic product manager, an AI/ML practitioner, and curious about all things. My focus has been on bringing innovative products to market. My background is a combination of software architecture and engineering in mobile, communications and distributed systems; and business administration, primarily on innovation management. More recently, I have also advised the Government of India on AI Strategy, where I was invited to speak on building AI capacity for India. I continue to advise startups on their ML problems, and I enjoy tinkering on my own ML projects.
I’m a lifelong learner, and a big fan of both online and offline learning. My focus is in *applied* AI / machine learning / deep learning and robotics. As such, I enjoy computer vision, autonomous systems, some areas of natural language processing.
My journey with machine learning started a long time ago, taking Andrew Ng’s original Machine Learning course on Coursera in 2012/2013. At that time, there were limited products and applications that used ML. However, my interest grew stronger as several high profile research areas emerged (e.g. ImageNet, Google Street View, Google language translation, etc). Following my curiosity led me to re-take Andrew’s ML course, and since about 2015 I have dedicated a significant time and effort on my education, both at work and outside of regular work.
When Andrew launched DeepLearning.ai in summer 2017, I jumped at it and completed the first three courses in 3-4 weeks. I completed the DL Specialization shortly. Within a short time frame, I completed several other specializations including the Machine Learning specialization (by U. of Washington) on Coursera; the AI Nanodegree (on Udacity) ; the Self Driving Car Nanodegree (on Udacity); Berkeley’s Data Science courses (on EdX), Fast.ai, and a few more.
As you can guess, I am excited about learning. I continue my journey - and am currently diving deep in reinforcement learning and robotics. I’m happy to advise learners of all ages on their own journey of learning machine learning.
As a lifelong learner, I’m excited to see the unveiling of a new chapter from DeepLearning.ai!
Hi all, I'm Alison,
Originally from the UK now in the Bay Area, working with a tiny Startup building a question and answer AI service called Genie Squad. I'm very excited to be here. I've really enjoyed studying AI and Deep learning for the past few years. Andrew Ng’s courses are some of the best.
Hi, I'm Dan.
Thank you all so much for putting this on and for the Coursera courses and all the great things that are happening here.
Let's see how to tell about myself without getting boring. I'm 62. Darn. Blew it.
Ok. I have never been able to make up my mind what i was most interested in. As a kid I was told that the school was starting an orchestra and I was asked what instrument I wanted to play. Trombone looked challenging and intriguing, so Mom and Dad opened the Sears catalog, saw a trombone listed for $110, and ordered it. And I ended up bringing it everywhere including on vacation. When my parents wanted me to leave it home, I wanted to stay home. I played in honor bands and orchestras and planned to become a professional. Some people were made at me because I didn't become a professional.
I saw a unicycle. My grandparents all got together and bought me one when I was ten, and I learned to ride it the same day my little sister learned to ride her bike. So, I was a bit nerdy. Ok. Very nerdy. I had a pocket protector, slide rule at age 12, did cube roots on an abacus, wore plaid high water pants, and for a bit I had a bandaid holding my glasses together in the middle. And I was trying NOT to look the part.
How to fast forward this? I was in 4-H, raised and trained guide dogs, won in Photography, became an All-Star, performed in honor bands and orchestras and in 1974 left for college to major in music and religion. I changed from wanting to be a professional musician to a music minister. Then an acoustical engineer, studied architecture, electrical engineering, worked with computers, and finished my degree in Math with a Physics minor. But programmed computers.
I took a break from programming them to go into systems, then databases, then applications. And now after about 40 years, I'm pseudo-retired. I'm at home with my wife and son caring for my elderly father here in Fresno. And I am taking this time to bring my skills up-to-date.
And that brings me back to Artificial Intelligence. I say "back" because in my undergraduate studies, I studied an older form of Artificial Intelligence, which really is not Artificial Intelligence but symbolic math or Lisp and Prolog programming. Years later, I dabbled in Neural Nets and programming for stock and option investments in the 1990s with Trade Station and Option Station.
My daughter's boyfriend was into Machine Learning, and that encouraged me to take a peek. My commitment level was really low at first, but when I started seeing what it could do and what I could learn, I sort of went nuts. I completed Andrew's MATLAB based course with a perfect score and started taking the 5 Deep Learning courses. I finished the first with a 100% score and the second and third were around 99.2 and 96%, but I want to pull those up to 100 as well. Now I am on the 4th course for ConvNets, and it's pretty tough. I have a 90 on the first exam and totally blew the second one. I studied and pulled it up to an 80 and then to 100--the one with the ResNet and Inception net.
So my hope is to complete them all with 100% scores. I am also enrolled in Geoffrey Hinton's course for review with a slightly different perspective.
My goal is to master this area solidly, perhaps do a stint or stints or whatever is available with the Deep Learning bootcamp if possible, get into the Kaggle competitions and perhaps complete a specialization or two from UC San Diego and another with the Russian Kaggle guys, and perhaps Fast.ai just in case there is something more to pick up.
But my hope is to get really good so I can give back. And then when I am far enough down that path, I would like to dig into Quantum Computing if it seems it will be as promising as I think it might be as the technology comes to the forefront a little more.
Thank you once again for putting this on.
Daniel J. Dick
Proving an old dog can easily learn new tricks!
My name is Melvin, I'm 24 years old and currently a master student in computer science in Tübingen, Germany. In my first master semester last year I discovered my interest in machine learning and try to take as many university courses on this topic as possible. Since this can't ever be enough, I binged through Andrews Deep Learning Specialization in the current semester brake, finishing one week of videos and exercise almost every day.
When I was done I was really enthusiastic trying out alot of the things learnt and also diving deeper into generative models, i.e. text to image. Though that was mainly playing around, I'm still searching for an idea for a interesting heart project that I can implement from start to finish.
I'm currently not sure on how to go on after getting my master's degree, on one hand I would love to do more research and find a PhD program, on the other hand I want to apply my knowledge in some interesting real world applications as soon as possible. Unfortunatly I'm not located in Silicon Valley, where there more possibilities, but my area is actually doing alot in this direction recently. Cyber Valley is a project of the state of Baden-Württemberg, Max-Planck-Institute, Universities of Tübingen and Stuttgart and several industry partners trying to establish an environment for AI research down here.
I'm excited what the future will hold in this field, I'm sure it will be fascinating and since the Deep Learning courses where so great, I'm positive that this community here will have alot of interesting conversations.