What helped me get a data science job that fits my ambitions? [part 2]

What helped me get a data science job that fits my ambitions? [part 2]

Around ambitions, challenges, learning
Many of the aspiring data scientists wonder how to take the path and get the job as a data scientist. Fortunately,  nowadays, you don't have to start a costly bootcamp or a university degree to become a data scientist because there are many resources available, and a lot of them are free and accessible to everyone. In the first part of this post, I shared the resources that helped me land my Data Scientist job. However, without a strategy, it's harder to achieve it. I personally joined a community that helped me know my purpose, shape my dream career and define my goals and action steps. It's Classy Career Girl. It was my main resource for time management tools and organizing myself. I also was inspired by some other recommended techniques like…
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What helped me get a data science job that fits my ambitions – part 1: resources

What helped me get a data science job that fits my ambitions – part 1: resources

Around ambitions, challenges, learning
Almost 2 years ago, I took the decision to quit my job as a software engineer and to start looking for a job in the machine learning field. Right away after quitting my job, I wrote an article in my blog Up to my new Tech challenges and from there the journey started. In this article, I'm happy to share how I landed the job I dreamt of. Yeah, I got it! I've been working as a Data Scientist for Remerge, in Berlin,  for one year. Choose the right courses First off, it's important to assimilate core concepts and techniques in machine learning / Data Science, so I started on some main courses online: Machine Learning Specialization, university of Washington, Coursera: This specialization, taught by two Amazon Professors, is a good…
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Data Natives Berlin 2017: my talk “Building a Recommender System using Collaborative Filtering”

Data Natives Berlin 2017: my talk “Building a Recommender System using Collaborative Filtering”

My activities
I was invited as a speaker in Data Natives 2017 to give a talk on tech trends track and I chose to speak about Recommender Systems because it's a topic that fascinates me. It's a topic that's changing the way we shop clothes, order food, purchase books and more! Behind those systems, there is a big whole stuff being done by machine learning algorithms, analyzing your behavior from your clicks, views, likes, purchases, social network, localization! One of those famous recommender systems is the one of Amazon.com. When you find sentences like "Recommended for you, Sarah" or "Frequently bought together" or "Customers who bought this item also bought.." you are actually coming across outcomes of these machine learning algorithms. I know, it seems like... But it's not! and you can do…
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Data Natives 2017 / Berlin / 15-16-17 November

Data Natives 2017 / Berlin / 15-16-17 November

Non classé
Did you hear about Data Natives Conference happening in just one week? If not, it's just time! You still can join! If you are curious about data-driven technologies and trends, if you are thinking about being a data scientist or a machine learning engineer, if you want to connect with people passionate about big data and data science, if you want all that but don't know how to do, how to start and what specific topic among the BIG machine learning landscape may interest you then data natives is the right place for where to start! Last year, I had that feeling that I really want to make a step towards machine learning.. because I, just like you, was impressed by the evolution of the world these last years thanks…
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From OpenCV and Tesseract to exploring recent research results in Computer Vision [Challenge 2]

From OpenCV and Tesseract to exploring recent research results in Computer Vision [Challenge 2]

challenges, Computer Vision, Deep Learning, learning, Technology
I've been away for a while... Actually, I didn't notice as the time was going on.. even though I felt like I've been running all days since my last article :D .. I was all in a new dimension of machine learning..one that is so huge and with many many possible doors to knock! -What is it that you called "new dimension"? Okay, let me tell you. If you followed my previous post about OpenCV and Tesseract, you may already know that I've been working on a computer vision project, involving Object Character Recognition (OCR) for texts in a natural scene image - By the way, I really like the problem that I'm trying to solve, that's why I accepted working on the project despite the fact that I don't have a previous…
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Applied text classification on Email Spam Filtering [part 1]

Applied text classification on Email Spam Filtering [part 1]

My activities, projects, Technology
Since last few months, I've started working on online Machine Learning Specialization provided by the University of Washington. The first course was about ML foundations, the second about Linear Regression, and the third course on which  I'm currently on track is about Classification. I liked the courses almost in every aspect as they teach ML algorithms implementation from Scratch. That was my goal when I decided to discover the field in more depth. But, honestly, I was feeling that there is a gap somehow because many questions were left without answers along the way. Then, after reading about how to start with Machine Learning, I found that most articles emphasized the importance of combining courses with practical projects in order to apply what's learned and better assimilate it.. and it's so true!…
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Starting with OpenCV and Tesseract OCR on visual studio 2017 [Challenge 1]

Starting with OpenCV and Tesseract OCR on visual studio 2017 [Challenge 1]

challenges, Computer Vision, learning, projects
I have recently started working on a Freelance project where I need to use text scene recognition based on OpenCV and Tesseract as libraries. I was so motivated to hit the Wolrd of computer vision combined with machine learning and experience developing applications in the field, so I welcomed challenges that come with! Here I'll be talking about the first challenge and how I tackled it. found myself with multiple new things to prepare in order to start coding, without mentioning that it's been a long time before when I last coded with C++ (back to my university time)! At first, I was asked to use OpenCV 3.0 and Tesseract 3.02 in order to run the project's part which is already available. So I installed OpenCV 3.0 and Tesseract 3.02…
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Contributing to CS community..starting with Dzone!

Contributing to CS community..starting with Dzone!

My activities
When I took the decision to follow my passion and to choose the career that fits me better, I've started a journey that is different, a journey which requires a lot of effort in order to stand from the crowd. Along the way, as I like to be involved in a community, to support and be supported, I've been thinking about launching a lot of initiatives. However, there was one constraint: each of these ideas that came to my mind required much time, which I couldn't ensure at that time as I had a full plan with other priorities. One day, I told myself why not sharing the knowledge I gain while I'm learning? As I read a lot of articles, if I summarize the best links about learning something…
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J On the Beach 2017

J On the Beach 2017

My activities, Technology
This time I made it to Malaga, Spain! I attended J on the Beach 2017 conference, a Big Data event targeting developers and DevOps communities. It was held over 3 days. The first day was about workshops. In the morning session, I participated in "Building Microservices on DS/OS" ensured by Jorg  Schad where I got an idea about containers, Mesos, Clusters. It was a little bit difficult for me as all of them were new. [embed]https://twitter.com/MestiriSarah/status/864746342404456449[/embed] The Afternoon session was  "Hands on Elastic Stack 5.3". The presenters Pablo Musa and David Pilato were very helpful and I liked so much combining discovering these tools with practice, as I believe that the best way to motivate people about learning something, is by showing results! I discovered how it's possible with Elasticsearch to get…
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A glimpse into AI potential between today and tomorrow (part 1)

A glimpse into AI potential between today and tomorrow (part 1)

My activities, Technology
April 23rd, I was honored to be invited by GDG Monastir (Tunisia) as a speaker in Google Next 2017 extended event. My talk was about Artificial intelligence and following is the written version of the idea I wanted to communicate. I bet that when you think/hear about Artificial Intelligence many thoughts pop to your mind! Big Data, IBM Watson, Alexa, Google self-driving car, NAO, Turing, Google Cloud, but what’s Artificial Intelligence? Is it a brain that can outperform human’s brain? How does AI impact our everyday life? What are the technologies behind AI? What's AI? Back to 1950, when Alan Turing, a computer science pioneer, started thinking about “What if machines learn?”. He invented Turing Test in the aim of making an intelligent machine. The test was an adaptation of…
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