Author Zach Brittle, a certified Gottman therapist, informs us that “Rituals also help ensure that your relationship is unique.” He posits that some couples might question the value of this but that making an agreement to uphold a ritual can inject fun into your marriage even if one or both partners don’t really feel in the mood to connect due to their busy schedules.
One of the main things I have learned about marriage is to make it a priority and to focus more on my husband’s attributes rather than his flaws. Additionally, I am convinced that making a commitment to love each other in spite of our differences is crucial to long-lasting love. Another important principle that has helped strengthen my marriage is put some rituals in place that are non-sexual but keep the passion between us alive.
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a tripod at this level of zoom, but the iPhone 12 Pro Max has an extra image stabilization capability called “sensor-shift image stabilization,” which lets the image processor float on an x-y axis to reduce whatever shake you introduce while holding the phone. With that in mind, I simply put my elbows on my chest, spread my feet apart, took one deep breath, and snapped the shot.They mix languages with tools, and in the worst cases with soft skills — saying your ‘4.5 stars’ at Leadership isn’t helpful. As a strong believer in a growth mentality, claiming to max out a skill (especially a harder to quantify and harder to master soft skill) feels very presumptuous.
If you’re looking for a new data science position, take some time and go through the points in this article. It’s fine if you can’t check off all of these marks, but the more you can, the better. Hopefully, these tips will help you stand out from the crowd and pass the CV screen with flying colors.
For years, I marveled at couples who appeared to connect on a deep level while I struggled to save my second marriage from the brink of divorce. In hindsight, my husband and I lost the spark and emotional closeness needed to sustain a healthy marriage due to lack of attention. However, when I turned to the experts, I was able to reconnect with my husband and regain the love we had early on — -before ghosts from our past relationships cast a dark shadow over our marriage.
Visually appealing CVs of Data Scientists, details blurred. Note the vertical split used in both examples to differentiate experience, skills, achievements and publications. In both cases, a short summary paragraph helps describe their background and desires. Used with permission from owners.
Is there something you’ve worked on that you can share on GitHub? Any Kaggle competition or side-project can be very helpful, and enables looking at concise code, types of preprocessing, feature engineering, EDA, choice of algorithm and countless other issues that need to be addressed in a real-life project. Add a link to your GitHub and Kaggle account for interviewers to dive into your code. If you don’t have much experience, there’s a good chance you’ll be asked about one or more of these projects. In some interviews I had, the candidate didn’t remember much about the project and we couldn’t develop a conversation regarding the choices they made and the reason behind them. Be sure you brush up on the work you did or keep it out of the CV. Similarly, make sure you present your best work and you’ve put enough time and effort into it. It’s better to have 2–3 high-quality projects than 8–10 medium (or lower) quality.
Type of algorithms — structured/classic ML vs Deep Learning. Some candidates have only worked with Deep Learning, including on structured data that could have been better suited with tree-based models. While there’s no problem per se with being an expert at DL, limiting your toolset can limit your solution. As Maslow said: “If the only tool you have is a hammer, you tend to see every problem as a nail.” At Riskified we deal with structured, domain-driven, feature-engineered data which is best dealt with various forms of boosting trees. Having someone whose entire CV points back to DL is an issue.
ML Domain — this is usually relevant in two domains that require much expertise — computer vision
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