13 Data Science New Year’s Resolutions for 2018
To start off the new year in style, DataCamp gathered some New Year's Resolutions from people within the data science industry: from those who are still on their way to becoming a data scientist to those who are already data science professionals.
Kirk Borne, Principal Data Scientist and Executive Advisor at Booz Allen Hamilton
My New Year's resolution is to create more in-depth data science content (blogs, podcasts, and book chapters) covering all of my favorite data topics, to promote greater data literacy for all.
Adolfo Álvarez Pinto, Data Scientist and Team leader at Analyx
I am not good in making such goals because the life always take me through unexpected paths (you know, I am a Chilean living in Poland), but if we leave a big room for surprises, I basically expect three things regarding data science: to learn something new, to contribute to others' data science paths, and to share experiences with the community.
For learning, I would like to improve my databases knowledge and how to incorporate them efficiently into my daily work with R. (I expect to see many new SQL courses in DataCamp!). Another area where I cannot wait to improve is how to escalate statistical algorithms to Big Data and learn more about frameworks such as H2O and Spark.
For contributing, my closest goal is to develop a series of workshops about data preparation for my colleagues at Analyx, and I expect to open them to the rest of the world as soon as possible. There are also many blog posts ideas that are waiting for 2018 to be finally written!
And at last, I think one of the best ways to keep your mind open and get new skills is just talk to and share experiences with other members of the Data Science community! And there is no better place for that than local meetings and international conferences. On my list for 2018 are the European R Users Meeting (eRum 2018) in May, the Statistical Methods for Big Data (SMBD 2018) in June, and the Annual meeting of Polish R Community (WhyR 2018) in July. I hope to meet you at one of them!
Rhaydrick Sandokhan, Data Science Enthusiast and Aspiring Data Scientist
2017 was rough: I wasn't doing what I love to do, but you must pay your bills, right? So, in November I quit my job, packed my bags and decided to move to Portugal, leaving Brazil behind.
In my previous job, I was struggling to move into Data Science path. I was learning Python and R simultaneously -a bad choice by the way-, reading a lot about the field mostly the theoretical part and getting in touch with the community, mostly asking for tips, advice and trying to find mentor or something.
Anyway, for 2018, I already made some plans that I intend to pursue, so here we are:
- Focus in developing even more my programming skills with Python. In addition, I'll learn more about Object-Oriented Programming (OOP);
- Improve my mathematics and statistics to understand better some concepts and algorithms;
- Understand and build my machine learning skills;
- Engage, discover and socialize with the community;
- Share my knowledge and help others, I guess by blogging (lol);
- Participate in data science competitions, such as Kaggle;
- Start and finish the Data Science with Python career track from DataCamp; &
- (The last one but not least important) Getting a job as data scientist.
I know that will be a great journey. It will be hard, but it will be worth all effort. Like my grandpa used to said, “I’m ready for fight and fate”!
Happy new year for you all.
Hugo Bowne-Anderson, Data Scientist at DataCamp
In 2018, my New Year's resolution is to explore the wilds of data science, the ins and outs of how it works on the ground and how it impacts individuals and society. In essence, to discover how data science impacts all of us and the world around us. I want to understand data science not as only a set of concrete principles, methodologies, technologies and techniques, but as a practice and discipline that's occurring and evolving in a multitude of diverse industries and areas of research, from automated medical diagnosis and self-driving cars to recommendation systems and climate change. For this reason, later this month, I'll be launching a podcast called DataFramed for DataCamp. Each episode will feature a conversation between a different data scientist and myself, in which we'll explore what types of questions and challenges Data Science can (and can't!) solve.
Alexis Perrier, Data Science Consultant
My focus in 2018 will be on the political impact of AI on our society.
Machine learning algorithms have nasty side effects from enforcing bias in daily decisions, weakening our democracies with mass manipulations strategies and enabling a surveillance society that the totalitarian regimes of the 20th century could only have dreamed of.
We need to build antibodies and some of the projects I plan to work on in 2018 involve learning how to fool face recognition systems with adversarial strategies, spawn viral memes with bots in foreign languages and learning how to build non biased models. On the more technical side, I'm really fascinated by advances in Natural Language Processing such as word embeddings. There is an untapped potential of applications that I'm very excited to explore.
Simba Khadder, CEO of triton.cloud
2018 is the year of application. 2017 was an exciting time. The breakthroughs of that year in GANs, transfer learning, and self-training have moved the propelled the industry closer to generic ML solutions. My New Years resolution is to take these new approaches and apply them to solve real world problems for our users. I want to provide value through these breakthroughs.
Lorna Maria Aine, Data Science Fellow
2018 is undoubtedly going to be a great year for the data science community. I plan to write more technical content to help data science newbies understand concepts. I will be running a fun "build something with data science " blog with articles for newbies and constant learners.
Also, I plan to take a shot at giving my first conference talk about data science and all the fun parts of it that I have explored.
I am out here to fuse my knowledge of data science and passion for developer communities to make the most of 2018.
Tony Kuo, editor of DataInPoint, the popular data science Medium publication in Chinese
For those who spent countless efforts learning programming, statistics models, and mining algorithms, you may feel tired or frustrated sometimes because there is still a long way to go to become a unicorn data scientist. But you are not alone, just keep moving forward and learning from the world's leading data scientists at DataCamp for an amazing 2018!
Alex Castrounis, Founder and President at InnoArchiTech, VP Advanced Analytics at Rocket Wagon
I’m very excited about 2018 in terms of my involvement in data science and ongoing professional development!
I’m really interested in developing my technical expertise in reinforcement learning, transfer learning, and deep learning, including current and future applications. Additionally, I plan on doing more research and reading of academic papers in order to keep up with new and rapidly changing AI algorithms, tools, and techniques.
As an educator of data science and related fields, I’m planning to teach more classes (both in-person and online), write a book on AI, write more articles, promote and help generate interest in data science careers, and begin exploring vlogging and podcasting as additional forms of knowledge and expertise sharing.
Matthew Mayo, Editor and Data Scientist at KDnuggets
My personal resolutions include better organizing my time in order to be able to focus more on reading current papers and implementing new ideas not directly related to work -- some form of which is likely on everyone's resolutions list! I hope to delve into writing about some of these new ideas as well.
As far as KDnuggets goes, we plan to continually bring the most relevant and helpful machine learning, data science, and analytics information to our constantly-growing reader base in 2018 and beyond.
Gregory Piatetsky-Shapiro, Data Scientist, Analytics/Data Mining/Data Science Expert and KDnuggets President
KDnuggets will be covering the exciting developments in AI, Big Data, Data Science, and Machine Learning, and bringing a few interesting stories each day to our 500,000+ readers.
Here are some important topics and predictions for 2018
- GDPR becomes enforceable on May 25, 2018, will have a major effect on Data Science, with requirements that include the right to explanation and prevention of bias and discrimination.
- Google DeepMind team will follow up on the amazing results of AlphaGo Zero and Alpha Zero and achieve another superhuman performance on a task which only recently people thought it was impossible to do by a computer.
- We will see more self-driving car (and truck) progress and initial kinks resolved
- The AI bubble will continue but we will see signs of shake-out and consolidation
Jo-fai (Joe) Chow, Data Scientist & Community Manager at H2O.ai
- Build better tools to automate data analysis pipeline.
- Encourage/promote diversity in data science industry. :)
Karlijn Willems, Data Science Journalist at DataCamp
Just like last year, I plan on making 2018 a year where I create and collaborate with data science professionals to publish lots of blog posts and tutorials that cover a diversity of topics so that they can help and motivate those who are learning data science.
What's your data science New Year's resolution? Let us know on Twitter!