Google Doubles Down On Spammers With #TensorFlow. #BigData #Analytics #MachineLearning #DataScience #AI #NLProc #IoT #IIoT #PyTorch #Python #RStats #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #TransferLearning
π http://bit.ly/2U4ZSAf
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
π£ @AI_Python_arXiv
π http://bit.ly/2U4ZSAf
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
π£ @AI_Python_arXiv
If youβre learning #datascience or #analytics, then really take the time to understand the art of making the complex simple.
No matter where you go, the data that you use for your:
- visualizations
- machine learning
- statistical analysis
- presentations
All boils down to how well you can communicate the results.
So build the habit on documentation, storytelling, and simplifying your thoughts on papers.
Spend that extra time to articulate your thoughts and think deeply on how you want to present your data.
Because thatβs a skill that will always be needed in any place you go.
And not only will you thank yourself for doing this in the future, but your team will love you for making it so simple for them. π
Also, who doesnβt love a simple and meaningful story.
#machinelearning #storytelling #communication
β΄οΈ @AI_Python_EN
No matter where you go, the data that you use for your:
- visualizations
- machine learning
- statistical analysis
- presentations
All boils down to how well you can communicate the results.
So build the habit on documentation, storytelling, and simplifying your thoughts on papers.
Spend that extra time to articulate your thoughts and think deeply on how you want to present your data.
Because thatβs a skill that will always be needed in any place you go.
And not only will you thank yourself for doing this in the future, but your team will love you for making it so simple for them. π
Also, who doesnβt love a simple and meaningful story.
#machinelearning #storytelling #communication
β΄οΈ @AI_Python_EN
Rust: Programming Language Cheat Sheet.
#BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #Rust #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #Linux #Programming
http://bit.ly/2HEVJzl
β΄οΈ @AI_Python_EN
#BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #Rust #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #Linux #Programming
http://bit.ly/2HEVJzl
β΄οΈ @AI_Python_EN
This guide gives a complete understanding about various #machinelearning algorithms along with R & Python #codes to run them. These #algorithms can be applied to any data problem:
Linear Regression,
Logistic Regression,
Decision Tree,
SVM,
Naive Bayes,
kNN,
K-Means,
#Random Forest.
If you are keen to master machine learning, start right away.
Link : bit.ly/2CpWIjH
#machinelearning #deeplearning #python #coding #linkedin #decisiontrees #logisticregression #linearregression #forest #analytics #randomization #computervision
β΄οΈ @AI_Python_EN
Linear Regression,
Logistic Regression,
Decision Tree,
SVM,
Naive Bayes,
kNN,
K-Means,
#Random Forest.
If you are keen to master machine learning, start right away.
Link : bit.ly/2CpWIjH
#machinelearning #deeplearning #python #coding #linkedin #decisiontrees #logisticregression #linearregression #forest #analytics #randomization #computervision
β΄οΈ @AI_Python_EN
image_2019-03-20_04-26-00.png
843.4 KB
A Brief History of Data Science (Pre-2010, i.e. prior to rise of deep learning & popular usage of the term "data science")
#
Note: Modified original version of infographic to add 3 seminal developments in the history of Artificial Intelligence:
- 1943: Artificial neuron model (McCulloch & Pitts)
- 1950: Turing Test (Alan Turing)
- 1956: Dartmouth Conference (McCarthy, Minsky, Shannon)
#datascience #statistics #analytics #machinelearning #bigdata #artificialintelligence #innovation #technology #history #ai #datamining #informatics #infographics #informationtechnology #computerscience #dataanalysis #deeplearning #neuroscience #mathematics #science
π£ @AI_Python_Arxiv
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
#
Note: Modified original version of infographic to add 3 seminal developments in the history of Artificial Intelligence:
- 1943: Artificial neuron model (McCulloch & Pitts)
- 1950: Turing Test (Alan Turing)
- 1956: Dartmouth Conference (McCarthy, Minsky, Shannon)
#datascience #statistics #analytics #machinelearning #bigdata #artificialintelligence #innovation #technology #history #ai #datamining #informatics #infographics #informationtechnology #computerscience #dataanalysis #deeplearning #neuroscience #mathematics #science
π£ @AI_Python_Arxiv
β΄οΈ @AI_Python_EN
βοΈ @AI_Python
"AI Needs Better Data, Not Just More Data"
> https://lnkd.in/gR5E7Re
#AI #ArtificialIntelligence #MI #MachineIntelligence
#ML #MachineLearning #DataScience #Analytics
#Data #BigData #IoT #4IR #DataPedigree
#Veracity #Trust #DataQuality #BetterData
β΄οΈ @AI_Python_EN
> https://lnkd.in/gR5E7Re
#AI #ArtificialIntelligence #MI #MachineIntelligence
#ML #MachineLearning #DataScience #Analytics
#Data #BigData #IoT #4IR #DataPedigree
#Veracity #Trust #DataQuality #BetterData
β΄οΈ @AI_Python_EN
How This Researcher Is Using #DeepLearning To Shut Down Trolls And Fake Reviews. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #GoLang #Serverless #DataScientist #Linux
π https://bit.ly/2U2J5BX
β΄οΈ @AI_Python_EN
π https://bit.ly/2U2J5BX
β΄οΈ @AI_Python_EN
What are the best resources to learn major libraries for #DataScience in #Python. Here is my updated full list.
Will recommend to use Jupyter-Spyder environment to practice all these.
#DataLoading and #DataManipulation
βοΈNumpy - https://bit.ly/1OLtuIF
βοΈScipy - https://bit.ly/2f3pitB
βοΈPandas - https://bit.ly/2qs1lAJ
#DataVisualization
βοΈMatplotlib https://bit.ly/2gxxViI
βοΈSeaborn https://bit.ly/2ABypQC
βοΈPlotly https://bit.ly/2uJwULB
βοΈBokeh https://bit.ly/2uOFbxQ
#ML #DL #ModelEvaluation
βοΈScikit-Learn - https://bit.ly/2uYFNkw
βοΈH20 - https://bit.ly/2M0hJnG
βοΈXgboost - https://bit.ly/2M3Vdut
βοΈTensorflow - https://bit.ly/2vfI5es
βοΈCaffe- https://bit.ly/2a05bgt
βοΈKeras - https://bit.ly/2vfDyZj
βοΈPytorch - https://bit.ly/2uXWY5U
βοΈTheano - https://bit.ly/2v3N805
#analytics #artificialintelligence #machinelearning
#recommend
β΄οΈ @AI_Python_EN
Will recommend to use Jupyter-Spyder environment to practice all these.
#DataLoading and #DataManipulation
βοΈNumpy - https://bit.ly/1OLtuIF
βοΈScipy - https://bit.ly/2f3pitB
βοΈPandas - https://bit.ly/2qs1lAJ
#DataVisualization
βοΈMatplotlib https://bit.ly/2gxxViI
βοΈSeaborn https://bit.ly/2ABypQC
βοΈPlotly https://bit.ly/2uJwULB
βοΈBokeh https://bit.ly/2uOFbxQ
#ML #DL #ModelEvaluation
βοΈScikit-Learn - https://bit.ly/2uYFNkw
βοΈH20 - https://bit.ly/2M0hJnG
βοΈXgboost - https://bit.ly/2M3Vdut
βοΈTensorflow - https://bit.ly/2vfI5es
βοΈCaffe- https://bit.ly/2a05bgt
βοΈKeras - https://bit.ly/2vfDyZj
βοΈPytorch - https://bit.ly/2uXWY5U
βοΈTheano - https://bit.ly/2v3N805
#analytics #artificialintelligence #machinelearning
#recommend
β΄οΈ @AI_Python_EN
Whether youβre a:
- data scientist
- data analyst
- data engineer
- statistician
- BI Specialist
- business analyst
- software engineer
- research scientist
- machine learning engineer
At the end of the day, youβre a problem solver.
#datascience #machinelearning #analytics
β΄οΈ @AI_Python_EN
- data scientist
- data analyst
- data engineer
- statistician
- BI Specialist
- business analyst
- software engineer
- research scientist
- machine learning engineer
At the end of the day, youβre a problem solver.
#datascience #machinelearning #analytics
β΄οΈ @AI_Python_EN
Machine Learning (ML) & Artificial Intelligence (AI): From Black Box to White Box Models in 4 Steps - Resources for Explainable AI & ML Model Interpretability.
βοΈSTEP 1 - ARTICLES
- (short) KDnuggets article: https://lnkd.in/eRyTXcQ
- (long) O'Reilly article: https://lnkd.in/ehMHYsr
βοΈSTEP 2 - BOOKS
- Interpretable Machine Learning: A Guide for Making Black Box Models Explainable (free e-book): https://lnkd.in/eUWfa5y
- An Introduction to Machine Learning Interpretability: An Applied Perspective on Fairness, Accountability, Transparency, and Explainable AI (free e-book): https://lnkd.in/dJm595N
βοΈSTEP 3 - COLLABORATE
- Join Explainable AI (XAI) Group: https://lnkd.in/dQjmhZQ
βοΈSTEP 4 - PRACTICE
- Hands-On Practice: Open-Source Tools & Tutorials for ML Interpretability (Python/R): https://lnkd.in/d5bXgV7
- Python Jupyter Notebooks: https://lnkd.in/dETegUH
#machinelearning #datascience #analytics #bigdata #statistics #artificialintelligence #ai #datamining #deeplearning #neuralnetworks #interpretability #science #research #technology #business #healthcare
β΄οΈ @AI_Python_EN
βοΈSTEP 1 - ARTICLES
- (short) KDnuggets article: https://lnkd.in/eRyTXcQ
- (long) O'Reilly article: https://lnkd.in/ehMHYsr
βοΈSTEP 2 - BOOKS
- Interpretable Machine Learning: A Guide for Making Black Box Models Explainable (free e-book): https://lnkd.in/eUWfa5y
- An Introduction to Machine Learning Interpretability: An Applied Perspective on Fairness, Accountability, Transparency, and Explainable AI (free e-book): https://lnkd.in/dJm595N
βοΈSTEP 3 - COLLABORATE
- Join Explainable AI (XAI) Group: https://lnkd.in/dQjmhZQ
βοΈSTEP 4 - PRACTICE
- Hands-On Practice: Open-Source Tools & Tutorials for ML Interpretability (Python/R): https://lnkd.in/d5bXgV7
- Python Jupyter Notebooks: https://lnkd.in/dETegUH
#machinelearning #datascience #analytics #bigdata #statistics #artificialintelligence #ai #datamining #deeplearning #neuralnetworks #interpretability #science #research #technology #business #healthcare
β΄οΈ @AI_Python_EN