🎓 #Google propose plusieurs cours officiels, 𝒈𝒓𝒂𝒕𝒖𝒊𝒕𝒔 et 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗲́𝘀. 🔥

💻 Tous sont liés au monde numérique, digital et technologique.

#Marketing, #Sécurité, #Apps...

Profitez-en

💻 Tous sont liés au monde numérique, digital et technologique.

#Marketing, #Sécurité, #Apps...

Profitez-en

Formation sur le marketing digital

Ce cours offert, 𝙖𝙫𝙚𝙘 𝙘𝙚𝙧𝙩𝙞𝙛𝙞𝙘𝙖𝙩𝙞𝙤𝙣 de l'@iab (Interactive Advertising Bureau), permet de maîtriser les principes de base du #marketing numérique.

learndigital.withgoogle.com/ateliersnumeri…

Ce cours offert, 𝙖𝙫𝙚𝙘 𝙘𝙚𝙧𝙩𝙞𝙛𝙞𝙘𝙖𝙩𝙞𝙤𝙣 de l'@iab (Interactive Advertising Bureau), permet de maîtriser les principes de base du #marketing numérique.

learndigital.withgoogle.com/ateliersnumeri…

🎼 Gestion et croissance sur #Youtube

Cours avec 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗬𝗼𝘂𝘁𝘂𝗯𝗲 pour les partenaires permettant de gérer de la musique, des entreprises, des médias et des partenaires d'identification du contenu sur YouTube

skillshop.exceedlms.com/student/catalo…

Cours avec 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗬𝗼𝘂𝘁𝘂𝗯𝗲 pour les partenaires permettant de gérer de la musique, des entreprises, des médias et des partenaires d'identification du contenu sur YouTube

skillshop.exceedlms.com/student/catalo…

A thread on AUC Score (Area under the ROC Curve) Interpretation in #DataScience #MachineLearning

1/16

#DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Math #Data #DataAnalytics #pythoncode #AI #ArtificialIntelligence #TensorFlow #PyTorch #Pandas

1/16

#DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Math #Data #DataAnalytics #pythoncode #AI #ArtificialIntelligence #TensorFlow #PyTorch #Pandas

2/16

"roc_auc_score" is defined as the area under the ROC curve, which is the curve having False Positive Rate on the x-axis and True Positive Rate on the y-axis at all classification thresholds.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python

"roc_auc_score" is defined as the area under the ROC curve, which is the curve having False Positive Rate on the x-axis and True Positive Rate on the y-axis at all classification thresholds.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python

3/16

AUC ranges in value from 0 to 1.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Math #Data #DataAnalytics #pythoncode #AI #ArtificialIntelligence #TensorFlow #PyTorch #Pandas #Stat #dataviz #learning

AUC ranges in value from 0 to 1.

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Math #Data #DataAnalytics #pythoncode #AI #ArtificialIntelligence #TensorFlow #PyTorch #Pandas #Stat #dataviz #learning

17 visuals that will make you think.

#BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysOfCode

1.

#BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysOfCode

1.

The evolution of data processing frameworks.

Knowing how these frameworks have evolved can help you understand the typical problems that arise, and how they're addressed.

As the Internet grew, Google invented new data processing methods.

🧵

#GCP #google @google @googlecloud

Knowing how these frameworks have evolved can help you understand the typical problems that arise, and how they're addressed.

As the Internet grew, Google invented new data processing methods.

🧵

#GCP #google @google @googlecloud

In 2002, Google created GFS, or the Google File System to handle sharding and storing petabytes of data at scale.

GFS is a foundation for cloud storage, and also for what would become BitQuery managed storage.

🧵

#GCP #google @google @googlecloud

GFS is a foundation for cloud storage, and also for what would become BitQuery managed storage.

🧵

#GCP #google @google @googlecloud

1- İlk flood'umuz gelsin

@Superalgos Nedir ⁉️

@Superalgos , kripto market araştırma ve ticaret otomasyonu platformudur. Platformun amacı, ticaret zekası üretmek ve bunun için gereken tüm önemli unsurlrı birbirlerine entegre etmektir.

#BTC #ETH #kriptoparalar #Crypto #superalgos

@Superalgos Nedir ⁉️

@Superalgos , kripto market araştırma ve ticaret otomasyonu platformudur. Platformun amacı, ticaret zekası üretmek ve bunun için gereken tüm önemli unsurlrı birbirlerine entegre etmektir.

#BTC #ETH #kriptoparalar #Crypto #superalgos

2- Bilgiden maksimum değeri çıkarmaya ve akıllı stratejiler oluşturmaya izin veren, her şeyi kapsayan bu entegrasyondur.

#superalgos, çoğunlukla sağlam, esnek ve güçlü araçlar arayan kullanıcılara yöneliktir. Geniş bir sistemdir.

#superalgos, çoğunlukla sağlam, esnek ve güçlü araçlar arayan kullanıcılara yöneliktir. Geniş bir sistemdir.

3- Size piyasada avantaj sağlayacak #ticaret #botları geliştirmek istiyorsanız, #Superalgos'un açığa çıkarabileceği gücü denemelisiniz. Ancak söylemeliyiz ki #Superalgos , hafta sonu ustalaşabileceğiniz basit bir plug-and-play bot değildir.

Are you looking to start with 𝐊𝐮𝐛𝐞𝐟𝐥𝐨𝐰 🌈? check this step by step installation guide for Windows by Ashish Patel 🧵👇🏼

github.com/ashishpatel26/…

#MLOps #ML #Kubernetes

github.com/ashishpatel26/…

#MLOps #ML #Kubernetes

Kubeflow is an open-source #MLOps tool that provides toolkits for the deployment of machine learning workflows on #Kubernetes 🚀. Supports core data science tools such as Jupyter notebooks, training ML models such as #TensorFlow, #PyTorch, #XGBoost, setting pipelines, etc

New book for Bayesian statistics with #Python! 📚📊🚀

The Bayesian Modeling and Computation in Python by

@aloctavodia, @canyon289, and @junpenglao provides an introduction to Bayesian statistics using core Python libraries for Bayesian 🧵 👇🏼

#bayesian #MachineLearning #stats

The Bayesian Modeling and Computation in Python by

@aloctavodia, @canyon289, and @junpenglao provides an introduction to Bayesian statistics using core Python libraries for Bayesian 🧵 👇🏼

#bayesian #MachineLearning #stats

The book covers the following four topics:

- Bayesian Inference concepts

- Bayesian regression methods for linear regressions, splines,

- Time series #forecasting

- Bayesian additive regression trees

- Approximate of Bayesian computation

- Bayesian Inference concepts

- Bayesian regression methods for linear regressions, splines,

- Time series #forecasting

- Bayesian additive regression trees

- Approximate of Bayesian computation

The book's authors are the contributors of PyMC3, ArviZ, Bambi, #TensorFlow Probability, and other #Python libraries:

PyMC3 - docs.pymc.io/en/v3/

Tensorflow Probability - tensorflow.org/probability

ArviZ - arviz-devs.github.io/arviz/

PyMC3 - docs.pymc.io/en/v3/

Tensorflow Probability - tensorflow.org/probability

ArviZ - arviz-devs.github.io/arviz/

*Neural networks for data science* lecture 8 is out!

And it's already the last lecture! 🙀

What lies beyond classical supervised learning? It turns out, _way_ too many subfields!

/n

And it's already the last lecture! 🙀

What lies beyond classical supervised learning? It turns out, _way_ too many subfields!

/n

Here is my overview of everything that can happen when we have > 1 "task": fine-tuning, pre-training, meta learning, continual learning...

The slides have my personal selection of material. 😎

/n

The slides have my personal selection of material. 😎

/n

The slides are here: sscardapane.it/assets/files/n…

All the material, as always, is here: sscardapane.it/teaching/nnds-…

/n

All the material, as always, is here: sscardapane.it/teaching/nnds-…

/n

GauGAN2 was announced today by #NVIDIA - Create Highly realistic Images as you type

A quick thread.

1/n

#Computervision #AI #ArtificialIntelligence #TensorFlow #PyTorch #DeepLearning #DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Mathematics

A quick thread.

1/n

#Computervision #AI #ArtificialIntelligence #TensorFlow #PyTorch #DeepLearning #DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Mathematics

2/n

GauGAN2 combines segmentation mapping, inpainting and text-to-image generation in a single model

#Computervision #AI #ArtificialIntelligence #TensorFlow #PyTorch #DeepLearning #DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Mathematics

GauGAN2 combines segmentation mapping, inpainting and text-to-image generation in a single model

#Computervision #AI #ArtificialIntelligence #TensorFlow #PyTorch #DeepLearning #DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Mathematics

3/n

Unlike GauGAN1 the GauGAN2 can translate natural language descriptions into landscape images. Typing a phrase like “sunset at a beach” generates the scene

#Computervision #AI #ArtificialIntelligence #TensorFlow #PyTorch #DeepLearning #DataScience #MachineLearning #Math

Unlike GauGAN1 the GauGAN2 can translate natural language descriptions into landscape images. Typing a phrase like “sunset at a beach” generates the scene

#Computervision #AI #ArtificialIntelligence #TensorFlow #PyTorch #DeepLearning #DataScience #MachineLearning #Math

A thread - All the basic #Matrix #Algebra you will need in #MachineLearning #DeepLearning

1/n

#DataScience #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Math #Data #DataAnalytics #pythoncode #AI #ArtificialIntelligence #TensorFlow #PyTorch #Pandas #Stat

1/n

#DataScience #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Math #Data #DataAnalytics #pythoncode #AI #ArtificialIntelligence #TensorFlow #PyTorch #Pandas #Stat

2/n

A matrix A is a rectangular array of scalars usually presented in the following form

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Math #Data #AI #TensorFlow #programming #DataAnalytics #ArtificialIntelligence #Mathematics

A matrix A is a rectangular array of scalars usually presented in the following form

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Math #Data #AI #TensorFlow #programming #DataAnalytics #ArtificialIntelligence #Mathematics

A thread on AUC Score Interpretation

1/16

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Math #Data #DataAnalytics #pythoncode #AI #ArtificialIntelligence #TensorFlow #PyTorch #Pandas #Stat #dataviz #learning

1/16

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Math #Data #DataAnalytics #pythoncode #AI #ArtificialIntelligence #TensorFlow #PyTorch #Pandas #Stat #dataviz #learning

2/16

roc_auc_score is defined as the area under the ROC curve, having False Positive Rate on the x-axis and True Positive Rate on the y-axis at all classification thresholds

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Math

roc_auc_score is defined as the area under the ROC curve, having False Positive Rate on the x-axis and True Positive Rate on the y-axis at all classification thresholds

#DataScience #MachineLearning #DeepLearning #100DaysOfMLCode #Python #DataScientist #Statistics #Math

What is p-value

#DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #DataAnalytics #pythoncode #AI #numpy #ArtificialIntelligence #PyTorch #TensorFlow #Pandas #programming #Math #Stat #dataviz

#DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #DataAnalytics #pythoncode #AI #numpy #ArtificialIntelligence #PyTorch #TensorFlow #Pandas #programming #Math #Stat #dataviz

A P-value is the probability of obtaining an effect at least as extreme as the one in your sample data, assuming the truth of the null hypothesis

#DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #DataAnalytics #AI #Math

#DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #DataAnalytics #AI #Math

P values address only one question:

How likely are your data, assuming a true null hypothesis ?

#DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #DataAnalytics #AI #Math #Stat #Python #learning #LearnToCode

How likely are your data, assuming a true null hypothesis ?

#DataScience #MachineLearning #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #DataAnalytics #AI #Math #Stat #Python #learning #LearnToCode

Pandas is a fast, powerful, flexible and open source data analysis and manipulation tool.

A Mega thread 🧵covering 10 amazing Pandas hacks and how to efficiently use it(with Code Implementation)👇🏻

#Python #DataScientist #Programming #MachineLearning #100DaysofCode #DataScience

A Mega thread 🧵covering 10 amazing Pandas hacks and how to efficiently use it(with Code Implementation)👇🏻

#Python #DataScientist #Programming #MachineLearning #100DaysofCode #DataScience

210 Machine Learning Projects (with Source Code) That You Can Build Today. A Thread 🧵medium.datadriveninvestor.com/210-machine-le…

#BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #CloudComputing #JS #DataScientist #Programming #Coding #100DaysofCode

#BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #CloudComputing #JS #DataScientist #Programming #Coding #100DaysofCode

Projects Alert : 140 Python Projects with Source Code

You don't have to go to a university or pay hefty tuition to learn ML when you can learn for FREE.

An extensive list of 100+ Most Valuable Github Repository for ML, beginner to advanced.

theinsaneapp.com/2021/09/best-g…

#Python #DataScientist #Programming #Machinelearning #100DaysofCode

An extensive list of 100+ Most Valuable Github Repository for ML, beginner to advanced.

theinsaneapp.com/2021/09/best-g…

#Python #DataScientist #Programming #Machinelearning #100DaysofCode

10 Amazing Advanced Python Constructs that you can use to write efficient and clean Code

A Thread 🧵👇🏻

#Python #TensorFlow #DataScientist #Programming #Coding #100DaysofCode #DataScience #AI #MachineLearning

A Thread 🧵👇🏻

#Python #TensorFlow #DataScientist #Programming #Coding #100DaysofCode #DataScience #AI #MachineLearning

1/ DefaultDict

In python, a dictionary is a container that holds key-value pairs. Keys must be unique, immutable objects. If you try to access or modify keys that don’t exist in the dictionary, it raise a KeyError & break up your code execution ( continued..)

In python, a dictionary is a container that holds key-value pairs. Keys must be unique, immutable objects. If you try to access or modify keys that don’t exist in the dictionary, it raise a KeyError & break up your code execution ( continued..)

2/ (Continued..)To tackle this issue,Python defaultdict type, a dictionary-like class is used.If you try to access or modify a missing key,then defaultdict will automatically create the key & generate a default value for it

A defaultdict will never raise a KeyError ( Continued..)

A defaultdict will never raise a KeyError ( Continued..)

The Chinese Social Credit Score System - In Theory & Practise:

This is a rare glimpse into the surveillance tech used in China to determine your human "parameters" via big data.

#OpenCV #AugmentedReality #AI #Tensorflow

github.com/opencv/opencv

This is a rare glimpse into the surveillance tech used in China to determine your human "parameters" via big data.

#OpenCV #AugmentedReality #AI #Tensorflow

github.com/opencv/opencv

Connected:

(1) Possible buyout of #ARM by #NVIDIA does have an effect on the #Bioinformatics field: many applications now are deployable on CPU/GPUs with #ARM and/or #NVIDIA chips on them. Some recent examples are:

(a) the Oxford @nanopore MinION Mk1c device, which originally was specced at Jetson TX2 ARM+Pascal GPU accelerators (ARM processor 6 cores, 256 Core GPU), 8 GB RAM (may have changed since then.

1/

Thread of the very best #YouTube channels and #Twitter accounts to follow for:

#AI/ #ML, #DeepLearning, #neural and all things #datascience

bit.ly/3g8pVDL

#AI #machinelearning @wiserin10 #datascience #bigdata #artificialintelligence

Thread of the very best #YouTube channels and #Twitter accounts to follow for:

#AI/ #ML, #DeepLearning, #neural and all things #datascience

bit.ly/3g8pVDL

#AI #machinelearning @wiserin10 #datascience #bigdata #artificialintelligence

2/

@Analyticsindiam

Analytics India Magazine includes discussions on news, tips for the data ecosystem and a deep dive into #AI/#ML, #deeplearning and #neural networks

#YouTube subscriber count: 38k

@Analyticsindiam

Analytics India Magazine includes discussions on news, tips for the data ecosystem and a deep dive into #AI/#ML, #deeplearning and #neural networks

#YouTube subscriber count: 38k

3/

@Krishnaik06

Krish Naik is co-founder of iNeuron.ai and specialises in #machinelearning, #deeplearning, and computer vision. Krish’s #YouTube channel is a deep dive into all things #AI/#ML, perfect for beginners

YouTube subscriber count: 421k

@Krishnaik06

Krish Naik is co-founder of iNeuron.ai and specialises in #machinelearning, #deeplearning, and computer vision. Krish’s #YouTube channel is a deep dive into all things #AI/#ML, perfect for beginners

YouTube subscriber count: 421k

Hugging Face Transformers

Building transformer architecture remains an incredible challenge.

Hugging Face Transformers is one of the most popular and advanced frameworks for Transformer architectures.

⬇️1/3

Building transformer architecture remains an incredible challenge.

Hugging Face Transformers is one of the most popular and advanced frameworks for Transformer architectures.

⬇️1/3

Hugging Face Transformers provides

- implementations of 100s of pre-trained transformer models

- APIs to quickly download and use

- implementations for both #PyTorch and #TensorFlow

2/3

- implementations of 100s of pre-trained transformer models

- APIs to quickly download and use

- implementations for both #PyTorch and #TensorFlow

2/3

This is a thread from Edge#111 – our series about transformers.

Keep learning every day. Subscribe to our Twitter @TheSequenceAI.

3/3

Keep learning every day. Subscribe to our Twitter @TheSequenceAI.

3/3

Incoming Tweet Storm ⛈

I'm so happy to announce my #TensorFlowJS book with @OReillyMedia

The book is geared towards #JavaScript devs looking to learn #AI / #ML

1/5

amzn.to/3dR3vpY

I'm so happy to announce my #TensorFlowJS book with @OReillyMedia

The book is geared towards #JavaScript devs looking to learn #AI / #ML

1/5

amzn.to/3dR3vpY

It's been a complete pleasure to work with #OReillyMedia

They are professionals, but they let me keep my personality which I feel is critical to all the #CodeNewbie folk in #tech.

2/5

They are professionals, but they let me keep my personality which I feel is critical to all the #CodeNewbie folk in #tech.

2/5

I've learned a lot from the #DEVCommunity.

@TensorFlow is a new way of thinking for most #JSdevs. So each chapter opens with a quote and ends with a challenge.

I found it was important to get your hands dirty as early as possible to make the content engaging and fun 🎉🎉

3/5

@TensorFlow is a new way of thinking for most #JSdevs. So each chapter opens with a quote and ends with a challenge.

I found it was important to get your hands dirty as early as possible to make the content engaging and fun 🎉🎉

3/5

Day 14 #31DaysofML

🤔 How to pick the right #GoogleCloud #MachineLearning tool for your application?

Answer these questions

❓ What's your teams ML expertise?

❓ How much control/abstraction do you need?

❓ Would you like to handle the infrastructure components?

🧵 👇

🤔 How to pick the right #GoogleCloud #MachineLearning tool for your application?

Answer these questions

❓ What's your teams ML expertise?

❓ How much control/abstraction do you need?

❓ Would you like to handle the infrastructure components?

🧵 👇

@SRobTweets created this pyramid to explain the idea.

As you move up the pyramid, less ML expertise is required, and you also don’t need to worry as much about the infrastructure behind your model.

To lear more watch this video 👉

#31DaysofML 2/10

As you move up the pyramid, less ML expertise is required, and you also don’t need to worry as much about the infrastructure behind your model.

To lear more watch this video 👉

#31DaysofML 2/10

@SRobTweets If you’re using Open source ML frameworks (#TensorFlow) to build the models, you get the flexibility of moving your workloads across different development & deployment environments. But, you need to manage all the infrastructure yourself for training & serving

#31DaysofML 3/10

#31DaysofML 3/10

Encouraging! #AppleM1 Silicon (MBA) smokes my 2017 MBP15" i7 on #rstats #tidverse tidymodels hotel example, random forests (last fit 100 trees). Experimental arm-R build = extra speedup. Thanks @fxcoudert for gfortran build & @juliasilge @topepos + team for the nice API + DOC.

And it’s wonderful to see that essential R packages are working on the M1 platform.

Another implication might be that 4 cores are a good default for parallel processing with this configuration. The original tidymodels example would select 8 cores here. tidymodels.org/start/case-stu…

Want to become a Data Scientist? Here are some great resources that you should watch in order;Statistics & Linear Algebra Not Included 🧵

#100DaysOfCode #100DaysOfMLCode #DataScience #AI #MachineLearning #ArtificialIntelligence #ML #Coding #Coders #PyTorch #Tensorflow #Developer

#100DaysOfCode #100DaysOfMLCode #DataScience #AI #MachineLearning #ArtificialIntelligence #ML #Coding #Coders #PyTorch #Tensorflow #Developer

Part 1 of Microsoft's Intro to Python Series:

Gets you up and running in python and introduces you to the basics of setting up your development environment.

youtube.com/playlist?list=…

Gets you up and running in python and introduces you to the basics of setting up your development environment.

youtube.com/playlist?list=…

Continuation of the series above.

youtube.com/playlist?list=…

youtube.com/playlist?list=…

#DSFthegreatindoors presents

Workshop - Text Classification by Transfer learning with Deep Transformers - Depop @depop

A talk by Oduwa Edo-Osagie @odieED, Data Scientist, Depop

#TextMining

#NLP

#AI

#DataScience

#MachineLearning

#DataEngineering

@DataIdols

#DSFthegreatindoors

ND

Workshop - Text Classification by Transfer learning with Deep Transformers - Depop @depop

A talk by Oduwa Edo-Osagie @odieED, Data Scientist, Depop

#TextMining

#NLP

#AI

#DataScience

#MachineLearning

#DataEngineering

@DataIdols

#DSFthegreatindoors

ND

About the talk

Workshop - Text Classification by Transfer learning with Deep Transformers - Depop @depop

A talk by Oduwa Edo-Osagie @odieED, Data Scientist, Depop

#TextMining

#NLP

#AI

#DataScience

#MachineLearning

#DataEngineering

@DataIdols

#DSFthegreatindoors

ND

Workshop - Text Classification by Transfer learning with Deep Transformers - Depop @depop

A talk by Oduwa Edo-Osagie @odieED, Data Scientist, Depop

#TextMining

#NLP

#AI

#DataScience

#MachineLearning

#DataEngineering

@DataIdols

#DSFthegreatindoors

ND

What is #TransferLearning?

Text Classification by #TransferLearning with #DeepTransformers @depop

A talk by Oduwa Edo-Osagie @odieED, Snr Data Scientist, @depop

#TextMining

#NLP

#AI #CNN

#DataScience

#MachineLearning

#DataEngineering

@DataIdols

#DSFthegreatindoors

ND

Text Classification by #TransferLearning with #DeepTransformers @depop

A talk by Oduwa Edo-Osagie @odieED, Snr Data Scientist, @depop

#TextMining

#NLP

#AI #CNN

#DataScience

#MachineLearning

#DataEngineering

@DataIdols

#DSFthegreatindoors

ND