Key learnings from the book “Bring your Human to work” by Erica Keswin

Key learnings from the book “Bring your Human to work” by Erica Keswin

books, learning, My activities
When I was looking for the first book to read as part of my one book per month goal in 2020, I came across "Bring your Human to work" and it caught my attention, read its summary and reviews, and I decided to buy it and I can say after finishing it, that I made a great choice. I loved going through its chapters, it's easy to read and it contains a "Human action plan" at the end of each chapter. It's about bringing the best of ourselves to work, and the best of our employees if we are entrepreneurs. At work, many times the human part is neglected, because often the focus is more on the business, but the research shows that when companies focus on their employees first…
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We deserve both: Motherhood and a career!

Non classé
After having my baby and when I had to decide how much parental leave I will take, I started googling: best tips for returning to work after maternity leave and so on. I found some advices, I tried to follow them and I wrote a return-to-work plan (per period and number of hours). Months passed, I made some new mom connections, and the first question we ask each other after common baby subjects is: when are you going back to work? How are going to deal with it? and from there the discussion continues with many raised concerns. It seemed a hard topic or decision because it's not easy to leave that teeny tiny baby of hers, in addition to, the big changes in her life, in her body, in her…
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Stepping into motherhood – before birth

Stepping into motherhood – before birth

Motherhood, pregnancy
This blog is a bit different from usual... it's not about tech, not about professional challenges.. but still, it's about learning and life challenges! A few months ago, I became the mother of a little boy. It came with very special moments of happiness and struggle. Being a mother turned out to be much more than I expected it to be and even though I was lucky to be in a country that supports parents, I found it hard to deal with the first few months. However, I prefer to start with my before birth experience, because I believe it's a very important phase with a lot of things that can be done to enjoy the pregnancy and to stay sane and safe emotionally and physically! Starting from the end:…
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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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