We have conducted some research online that we found out the major obstacles and challenges to work as data scientist or to switch a career to be the data scientist?
#Don’t know where to start or where to learn?
#No Network to find a job or company you like?
#No past experience working as the data scientist? Even you know how to write the algorithm?
Looking for new challenging jobs? Just enjoy algorithm or mathematics? Want to start your own startup? Have a special problem, want to look for the solution? Or just to have a better job with more money?
It is like running a startup, it takes a lot of energy, time, dedication, motivation, discipline, sometimes even amount of money. You can learn all the best deep learning courses from those famous professors and experts all over the world, however, when it comes to soft skill, you need a mentor to help you, if he/she has even extensive networks, that is even better.
Andrew Ng is one of the best instructor and teacher I have ever heard and seen, he is perfect articulated, patient, and full of passion to teach as well. I personally took a couple of his classes online at Standford. (the course was really simple enough for anyone who is determined to start!
Btw, I sucked at Linear Algebra during high school 🙁
If you like more entertaining ones, the Youtube star: Siraj Raval also has Youtube channel and Udemy courses online to follow and learn, his goal is to use machine learning to build anything you can be dreamed of. After enough time for studying and online learning, it is always great to apply to the topic you are especially interested.
Don’t forget the traditional way, reading a book: The Bible of the deep learning which was written by Ian Goodfellow and Yoshua Bengio and Aaron Courville.
Certainly, if you like more personal touch, we offer Deep Learning Bootcampin January in Berlin with the topic of NLP, time series forecasting, and computer vision. Our instructors are from IBM and the famous research institute Max Planck Institute. Romeo Kienzler, he also has Youtube channel and is one of the most successful Deep Learning instructor in Europe.
This is one of the most common questions for beginners. We can have one more article to go deeper into that in the future. For now, choose a language that you are the most familiar with or the simplest for you. If you are completely new, then choose in between the data handling capabilities, advancements in tool, career chance, deep learning support. From my personal experience, I was consulting a machine learning startup with one Python scientist, one R scientist, every time when I had problem with data, I asked Python scientist to write me a quick code to fix my problem while R could not really deal in a such an easy way. Python becomes love of my life for now.
Warning: do not just take deep learning and NLP courses, but forget math is the real foundation. Take also some linear algebra courses also or at least linear algebra.
Don’t waste too much energy and time on it, especially a lot of them come with free alcohols…Check the topic before you attend also attendees, are they your target audiences or not really? Or sign up some recruiting event, there will be tons of recruiters and HR managers from companies. (We are launching our First Recruiting Day focused on the data team recruitment in March 2018)
P.S. M.I.E is currently re-branding to Beyond Machine, our mission to connect and boost AI ecosystem through connecting and training. We will launch series events in 2018, following with Deep Learning Bootcamp, Data Analytics Workshop, Recruitment Day, Self-Driving Workshop, Machine Learning Week. Furthermore, we will launch also outside of Berlin and bring more corporation and partnership exchange in and outside of Germany. If you are interested in any kind of sponsorship, partnership, just simply drop us a line.
WHY SHOULD YOU COME?
2. We are the world FIRST OPEN AIR MACHINE INTELLIGENCE SUMMIT, we had two last evening summits in rooftop bars in Berlin and Paris and this summer will be held in a Biergarten. We know boring conference rooms kill creativity.
3. We can awesome speakers confirmed to talk on the stage.
5. We also offer workshops session hosted by IBM Watson Chief Data Scientist, Romeo Kienzler, he is also instructor at Coursera.
6. We are INTERNATIONAL, we are the first media&community from Berlin expanding outside of Berlin and had speakers from London, Paris, NYC, Amsterdam. Zurich…
More info, please visit our website.
7. Early bird tickets are going to be out soon! Hurry up before the end of May.
Beyond Machine (rebranded from M.I.E) was spawned from Lele and Irene constant frustration during the founding of their AI startups. In the end of 2015, they both left their jobs at rising mobile ad tech and product companies. Lele first started SoCrowd and pivoted to Deckard after 3 months. Irene wanted to tackle the challenges of visual recognition.
It quickly became apparent that there was a need for a more developed community an outlet for media around Machine Intelligence. After running a fruitful and inspiring Evening Summit, they decided to take Beyond Machine. to the next level, founding a media company.focus on the training, re-education, and networking in the field of AI and innovative technology. Irene decided to leave FindEssence, the first company she co-founded and push forward the growth of Beyond Machine.
Beyond Machine’s mission: To connect people in AI industry globally, bringing profound and engaging content and to start a conversation about job substitution issues.
The blurb of M.I.E Summit 2017:
M.I.E. Summit Berlin 2017 is the World’s first open-space machine intelligence summit, which will be held on the 20th of June 2017.
This event will give you the opportunity to learn, discuss and network with your peers in the MI field. Backdropped in one of Berlin’s most vibrant and artistic locations, break free from traditional conference rooms and share a drink in a typical Berliner Biergarten.
The M.I.E Summit Berlin 2017 will provide you with two in-depth event tracks (keynotes, workshops, and panels) as well as over 25 leading speakers and unparalleled networking opportunities.