To Improve and Stay up to date as a Data Scientist. Preceding this post I shared 8 Folks You Should Be Following On LinkedIn. As I reached the ending of the post I realized “Wait a minute… I have not made a single mention of a single lady!”
receding this post I shared 8 Folks You Should Be Following On LinkedIn_. A_s I reached the ending of the post I realized “Wait a minute… I have not made a single mention of a single lady!”
You’ll be surprised to know, considering you read my last article, that there are actually many women in the Data Science field doing phenomenal things that ought to be recognized. Before the Ladies team up and slash my throat, it’s important I make the disclaimer that I do genuinely follow many female leaders on LinkedIn — In-fact, I strategically planned to do 2 separate post!
Without further ado. Ladies and Gentlemen, you ought to be following these trail blazing females on LinkedIn.
Anything Data Visualization? Kate is the GOAT. She’s the founder of the DATAcated Academy which focuses on delivering training on data visualization best practices. Oh, did I mention she’s authored 4 books? Yeah!
I forgot to add, she does all this whilst balancing her parenting responsibilities. Look, I have a niece (that I’ve mentioned a few times) and when she’s round I literally have to stop my day job because she becomes the boss — Honestly, I don’t know how Kate does it but she does, hence it makes so much sense why she has over _100k _followers on LinkedIn.
_ P.S.__ Kate also does a LinkedIn Live video from time to time discussing Data Visualization. Long story short, just follow Kate!_
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
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