Category: datascience

Math for Programmers

Math for Programmers = Previous post    Tags: Book, Manning, Mathematics, Programming Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50. Sponsored Post. Math is an essential tool for programmers, playing an integral …


10 Adventurous Data Science-Based TV Shows You Should Watch Next

What’s your Favorite Data Science-Based TV-Shows? Picture this – a humanoid approaches you in a dimly-lit street with the stars blinking above. It’s a cool, breezy evening but the humanoid has all your attention – it’s approaching you with a glint in its eye. How do you respond? Will you stand your ground and greet …


AI Papers to Read in 2020

AI Papers to Read in 2020 = Previous post    Tags: AI, Attention, Convolutional Neural Networks, Data Science, GANs, Neural Networks, Reformer, Research Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science. comments By Ygor Rebouças Serpa, developing explainable AI tools for the healthcare industry Photo by Alfons …


6 Common Mistakes in Data Science and How To Avoid Them

6 Common Mistakes in Data Science and How To Avoid Them = Previous post    Tags: Advice, Data Quality, Data Science, Hyperparameter, Mistakes, Overfitting As a novice or seasoned Data Scientist, your work depends on the data, which is rarely perfect. Properly handling the typical issues with data quality and completeness is crucial, and we …


Let’s Be Honest: We’re Drowning in Data

Let’s Be Honest: We’re Drowning in Data = Previous post    Tags: Big Data, Data Analytics, Data Science The fields of Big Data, Data Analytics/Science, and Data Integration need to face a new truth: We are drowning in data, more and more so every second of every day. comments By Jonathan Martini, CTO at PixelTItan …


Seven Reasons to Take This Course Before You Go Hands-On with Machine Learning

Seven Reasons to Take This Course Before You Go Hands-On with Machine Learning = Previous post Next post =>    Tags: Course, Coursera, Machine Learning, Online Education Eric Siegel’s new course series on Coursera, Machine Learning for Everyone, is for any learner who wishes to participate in the business deployment of machine learning. This end-to-end, …


Top KDnuggets tweets, Sep 02-08: Training alone is never enough to generate effective supervised machine learning models

Top KDnuggets tweets, Sep 02-08: Training alone is never enough to generate effective supervised machine learning models = Previous post    Tags: Top tweets Also: Tensorbook, a #DeepLearning laptop; 5 Concepts Every #dataScientist Should Know: Multicollinearity, encoding, sampling, error, and storytelling; Top 20 #Python AI and #MachineLearning #OpenSource Projects; How To Decide What Data Skills …


Busted! 11 Data Science Myths You Should Avoid at All Costs

It’s Data Science Myth-Busting Time! Transitions into data science are tough, even scary! And it is not because you need to learn maths, statistics, and programming. You need to do that, but you also need to battle out the myths you hear from people around you and find your own path through them! I had …


Free From MIT: Intro to Computer Science and Programming in Python

Free From MIT: Intro to Computer Science and Programming in Python = Previous post    Tags: Computer Science, Courses, MIT, Programming, Python This free introductory computer science and programming course is available via MIT’s Open Courseware platform. It’s a great resource for mastering the fundamentals of one of data science’s major requirements. By Matthew Mayo, …


8 AI/Machine Learning Projects To Make Your Portfolio Stand Out

8 AI/Machine Learning Projects To Make Your Portfolio Stand Out = Previous post    Tags: AI, Career, Face Recognition, Machine Learning, Music, Natural Language Generation, Portfolio, Sentiment Analysis, Text Summarization If you are just starting down a path toward a career in Data Science, or you are already a seasoned practitioner, then keeping active to …