Discover and read the best of Twitter Threads about #TensorFlow
Most recents (24)
Roadmap to becoming Data Analyst in three months absolutely free. No need to pay a penny for this.
I have mentioned a roadmap with free resources.
A thread🧵👇
I have mentioned a roadmap with free resources.
A thread🧵👇
1. First Month Foundations of Data Analysis
A. Corey Schafer - Python Tutorials for Beginners:
B. StatQuest with Josh Starmer - Statistics Fundamentals:
C. Ken Jee - Data Analysis with Python
A. Corey Schafer - Python Tutorials for Beginners:
B. StatQuest with Josh Starmer - Statistics Fundamentals:
C. Ken Jee - Data Analysis with Python
2. Second Month - Advanced Data Analysis Techniques
A. Sentdex - Machine Learning with Python
B. StatQuest with Josh Starmer - Machine Learning Fundamentals
C. Brandon Foltz - Business Analytics
A. Sentdex - Machine Learning with Python
B. StatQuest with Josh Starmer - Machine Learning Fundamentals
C. Brandon Foltz - Business Analytics
Python project ideas for beginners with source code
A thread 🧵👇
A thread 🧵👇
Python for data science beginners roadmap
A thread 🧵👇
A thread 🧵👇
1. Python Basics
Codecademy's Python Course (codecademy.com/learn/learn-py…)
Python for Everybody Course (py4e.com)
Codecademy's Python Course (codecademy.com/learn/learn-py…)
Python for Everybody Course (py4e.com)
2. Data Analysis Libraries
NumPy User Guide (numpy.org/doc/stable/use…)
Pandas User Guide (pandas.pydata.org/docs/user_guid…)
Matplotlib Tutorials (matplotlib.org/stable/tutoria…)
NumPy User Guide (numpy.org/doc/stable/use…)
Pandas User Guide (pandas.pydata.org/docs/user_guid…)
Matplotlib Tutorials (matplotlib.org/stable/tutoria…)
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#MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow
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E olha que demaaaaaais! Vou trazer o Head de Machine learning para a Web do @Google falar lá no canal 🤯🥳
➳ já marca na agenda ai: bit.ly/live-ml-for-we…
🧵/1
#machinelearning #criatividade #ai #javascript #tensorflowjs #tensorflow #chromedevelopers #google
➳ já marca na agenda ai: bit.ly/live-ml-for-we…
🧵/1
#machinelearning #criatividade #ai #javascript #tensorflowjs #tensorflow #chromedevelopers #google
Quem participou da #SemanaJSExpert, viu mágicas para rodar reconhecimento de gestos, objetos e mais direto do navegador
Mas, eu sou só alguem curioso tentando exercitar a minha criatividade
Já o @jason_mayes é do time responsável pelo @TensorFlow js no Google
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Mas, eu sou só alguem curioso tentando exercitar a minha criatividade
Já o @jason_mayes é do time responsável pelo @TensorFlow js no Google
/2
Ele fez um super treinamento no canal da @googledevs sobre Machine Learning para Web e eu pessoalmente aprendi muita coisa por lá!
O nosso encontro vai acontecer no dia 10/03 às 15:30 (horário de Brasília), vem que a parada vai ser inédita!
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O nosso encontro vai acontecer no dia 10/03 às 15:30 (horário de Brasília), vem que a parada vai ser inédita!
/3
¿Quieres introducirte en la #programacion 💻 y en la #IA con cursos GRATIS de #Google? ¡En este HILO 🧵te dejaré 5⃣ recursos 🔝 para que puedas introducirte de forma gratuita en estos ámbitos la #IngenieriaInformatica! 🔥🔥🔥⬇️⬇️⬇️
learndigital.withgoogle.com/activate/cours… Con este curso de 1⃣h, puedes familiarizarte con los principios básicos de la #programacion. Más que recomendable. #tecnologia #it #software
learndigital.withgoogle.com/activate/cours… En este curso de 4⃣0⃣h aprenderás las bases del #desarrolloweb moderno, es decir, #HTML y #CSS. La base para ser programador #frontend 💻
Artificial Intelligence is the hottest technology in 2023. Most tech companies are making new investments in AI which has created new career opportunities not just in machine learning but in MLOps as well. This thread is on career opportunities in #MLOps. RT to spread the word.👇
What is MLOps?
As companies generate and collect vast amounts of customer data, managing these large datasets and the numerous machine-learning models they create will get increasingly complex. MLOps is sometimes referred to as #AIOps as well.
As companies generate and collect vast amounts of customer data, managing these large datasets and the numerous machine-learning models they create will get increasingly complex. MLOps is sometimes referred to as #AIOps as well.
MLOps is the systematic approach to managing the entire lifecycle of ML models and their deployment in a production environment. It combines principles and practices of software engineering and #DevOps to ensure efficient, reliable, and scalable management of ML models.
How to get started with machine learning: From 0 to Engineer.
(thread)
(thread)
1. Math - via @khanacademy
Use these resources (all links in the last tweet):
- Khan Academy - Multivariable Calculus
- Khan Academy - Differential Equations
- Khan Academy - Linear Algebra
- Khan Academy - Statistics Probability
Use these resources (all links in the last tweet):
- Khan Academy - Multivariable Calculus
- Khan Academy - Differential Equations
- Khan Academy - Linear Algebra
- Khan Academy - Statistics Probability
2. Learn Python - via @freeCodeCamp
- Learn Python: Full Course For Beginners
- Intermediate Python: Programming Course
- Learn Python: Full Course For Beginners
- Intermediate Python: Programming Course
Wanna build the next ChatGPT?
Here's a 6 month learning plan for AI large language models (LLMs) from scratch.
(thread)
Here's a 6 month learning plan for AI large language models (LLMs) from scratch.
(thread)
1. Familiarize yourself with basic machine learning concepts and Python programming.
Books:
1.1. Introduction to Machine Learning with Python by Andreas Müller and Sarah Guido
1.2. Python Machine Learning by @rasbt
Books:
1.1. Introduction to Machine Learning with Python by Andreas Müller and Sarah Guido
1.2. Python Machine Learning by @rasbt
2. Learn about natural language processing (NLP) and its applications.
Books:
2.1. Speech and Language Processing by Daniel Jurafsky and James H. Martin
2.2. Natural Language Processing with Python by Steven Bird, Ewan Klein, and Edward Loper
Books:
2.1. Speech and Language Processing by Daniel Jurafsky and James H. Martin
2.2. Natural Language Processing with Python by Steven Bird, Ewan Klein, and Edward Loper
Machine Learning is hard.
I felt like quitting whenever I get baffled by the amount of information to learn.
But I followed the path to learning from Math for ML.
Here are the 5 critical reasons why you should start with Math concepts for ML
THREAD🧵 ↓
I felt like quitting whenever I get baffled by the amount of information to learn.
But I followed the path to learning from Math for ML.
Here are the 5 critical reasons why you should start with Math concepts for ML
THREAD🧵 ↓
🤔 Why Math for ML:
**********************
📌 Machine learning algorithms rely on mathematical calculations to make predictions and decisions
**********************
📌 Machine learning algorithms rely on mathematical calculations to make predictions and decisions
📌 Many machine learning techniques, such as neural networks and deep learning, are based on linear algebra and calculus
👨💻 Data Analysis Roadmap with FREE resources 💸
#BigData #Analytics #DataScience #AI #MachineLearning #IoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #React #Serverless #DataScientist #Programming #100DaysofCode #DevOps #SQL #CyberSecurity #Flutter #PHP
#BigData #Analytics #DataScience #AI #MachineLearning #IoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #React #Serverless #DataScientist #Programming #100DaysofCode #DevOps #SQL #CyberSecurity #Flutter #PHP
1. Math and Statistics
Intro to Statistics - Udacity
🌐 bit.ly/3GMZe5n
Statistics - Udacity
🌐 bit.ly/3VKKzfB
Statistical Learning - Stanford University
🌐 bit.ly/3VqA5Sj
Intro to Statistics - Udacity
🌐 bit.ly/3GMZe5n
Statistics - Udacity
🌐 bit.ly/3VKKzfB
Statistical Learning - Stanford University
🌐 bit.ly/3VqA5Sj
2. Excel
Introduction to MS Excel - Simplilearn
🌐 bit.ly/3u1h1OJ
Microsoft Excel: Online Tutorial for Beginners - Chandoo
🌐 bit.ly/3XzUHJO
Microsoft Excel Tutorial for Beginners - Free Code Camp
🌐 bit.ly/3Vax74G
Introduction to MS Excel - Simplilearn
🌐 bit.ly/3u1h1OJ
Microsoft Excel: Online Tutorial for Beginners - Chandoo
🌐 bit.ly/3XzUHJO
Microsoft Excel Tutorial for Beginners - Free Code Camp
🌐 bit.ly/3Vax74G
E olha que louco! Hackeei um jogo feito em JavaScript para receber comandos via Web Socket do giroscópio meu celular e ainda brinquei com @TensorFlow Machine learning na parada 😬
/1 🧵
#tensorflow #javascript #duckhunt #hacking #creativeprogramming #100daysofcode
/1 🧵
#tensorflow #javascript #duckhunt #hacking #creativeprogramming #100daysofcode
Ah e não é só isso! Estou usando Machine Learning com @TensorFlow para entender quanto ocorre um gesto de “tiro” a partir dos meus sensores e enviar ao jogo.
/2
/2
Muuuuito doido não? Vamos ver até onde vou nessa brincadeira 😆
Agora é melhorar esse modelo do TensorFlow e dar uma tunada em performance 💚
/3
Agora é melhorar esse modelo do TensorFlow e dar uma tunada em performance 💚
/3
1/ I recently moved from leading @Google’s #TensorFlow, the World’s #1 AI platform, to #Chainlink. Just like AI, I believe Web3 is a deeply transformative technology.
I believe Developers will build a better world powered by cryptographic proof. Here’s why🧵
I believe Developers will build a better world powered by cryptographic proof. Here’s why🧵
2/ Until recently, we could only build centralized applications: every service, website, app, had to be centralized.
In this model, a central entity could unilaterally change the rules at any time, shut down its service, or be forced to do so.
In this model, a central entity could unilaterally change the rules at any time, shut down its service, or be forced to do so.
3/ As a consumer, you could be promised one thing, but have something totally different happen.
- Your trading app could stop working at the worst moment.
- Your funds that you thought were safe could suddenly disappear.
- Your data could be sold without your consent.
- Your trading app could stop working at the worst moment.
- Your funds that you thought were safe could suddenly disappear.
- Your data could be sold without your consent.
On #biocompute news, $TSLA Tesla AI day gave some technical details on how they do their training and video labelling. It seems $NVDA Nvidia GPUs are the norm, with a 14,000 HPC heavily optimised on the software side. #pytorch #AVX2 #CUDA #SMT #smol #CUDNN
None of this is for the purpose of #Bioinformatics applications, rather here it's for Full Self-Driving software, but the technical details show some choices for high-throughput #AI training that one could compare to the #ComputationalBiology #ComputeAcceleration world.
More at bit.ly/biocompute
Write SQL Query & Reply
#JavaScript #MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #NLP #bot #github #ML
#JavaScript #MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #NLP #bot #github #ML
Create table student_score(
student_id int,
student_name varchar2(100),
Math int,
Social int,
science int,
English int,
Hindi int);
student_id int,
student_name varchar2(100),
Math int,
Social int,
science int,
English int,
Hindi int);
insert into student_score values(1,'Ajay',80,90,78,66,95);
insert into student_score values(2,'Aman',95,97,82,77,96);
insert into student_score values(3,'Bijoy',82,90,78,66,95);
insert into student_score values(4,'Kumar',80,90,78,98,95);
insert into student_score values(2,'Aman',95,97,82,77,96);
insert into student_score values(3,'Bijoy',82,90,78,66,95);
insert into student_score values(4,'Kumar',80,90,78,98,95);
💥Check the #FutureOfWork Skills Outlook 2022
v/@TMI_Insights
#Innovation #Analytics #technology #Programming #coding #Digital #MachineLearning #Robotics #AI #Python #DataScience #Bigdata #cloud #RStats #Fintech #bot #IoT #TensorFlow #womenintech #100DaysOfCode #Flutter #twitme
v/@TMI_Insights
#Innovation #Analytics #technology #Programming #coding #Digital #MachineLearning #Robotics #AI #Python #DataScience #Bigdata #cloud #RStats #Fintech #bot #IoT #TensorFlow #womenintech #100DaysOfCode #Flutter #twitme
🎯What are the🔟Milestones of #AI❓
v/@DataFlairWS
#ArtificialIntelligence #MachineLearning
#DataScience #Bigdata #Analytics #Robotics #autonomous #Python #RStats #Fintech #IoT #TensorFlow #womenintech #Programming #coding #100DaysOfCode #Business #VR #Innovation #futureofwork
v/@DataFlairWS
#ArtificialIntelligence #MachineLearning
#DataScience #Bigdata #Analytics #Robotics #autonomous #Python #RStats #Fintech #IoT #TensorFlow #womenintech #Programming #coding #100DaysOfCode #Business #VR #Innovation #futureofwork
I want to go into Tech. I need a tech job.
Read this:
With a Tech certificate you can get a good job anywhere in the world.
But Tech Certificates are expensive.
Here are 10 FREE Tech Certifications you can take today.
Read this:
With a Tech certificate you can get a good job anywhere in the world.
But Tech Certificates are expensive.
Here are 10 FREE Tech Certifications you can take today.
1. Artificial Intelligence For Everyone
AI For Everyone is only for enginers especially those not in tech already.
With this certificate you are prepared to take on entry level jobs in any tech organisation.
It's a FREE on Coursera.com
AI For Everyone is only for enginers especially those not in tech already.
With this certificate you are prepared to take on entry level jobs in any tech organisation.
It's a FREE on Coursera.com
2. IBM Data Science Professional
This Certificate course helps you to pursue a career in data science to develop career-relevant skills and experience.
This course will provide you with the latest job-ready tools and skills.
This Certificate course helps you to pursue a career in data science to develop career-relevant skills and experience.
This course will provide you with the latest job-ready tools and skills.
Interested in learning more about #DataScience, #MachineLearning or #AI? I’ve got a few places and resources for medics to start with. Anyone can do it with enough time and effort! Soon enough you’ll be making your own neural networks
1/16. A thread 🧵.
1/16. A thread 🧵.
2/16. Everyone has their preferences with programming languages. However if you’re starting from scratch, I highly recommend #Python. It is easy to learn, has a wide variety of applications and you will find it is much easier to perform even the most basic of statistics.
3/16. It also gives you access to multiple libraries that are used heavily by the machine learning community such as #Keras, #TensorFlow and #PyTorch.
10 websites so good that you will regret not knowing them ( I bet ) :
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Hoy en día hay n-maneras de transformar y crear imágenes con algoritmos de #machinelearning; Uno de ésos es #deepdream creado por el ingeniero Alexander Mordvintsev de #Google; seguirlo aquí twitter.com/zzznah
Como el algoritmo es open source, se han creado infinidad de apps. Un sitio para jugar con las imágenes es deepdreamgenerator.com
Algunas de mis fotos transformadas usando #deepdreamgenerator, Stone Street, a partir de una foto mía de las calles de Amsterdam
Did you know how TensorFlow can run on a single mobile device as well as on an entire data center? Read this thread
1/n
#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data
1/n
#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data
2/n
Google has designed TensorFlow such that it is capable of dividing a large model graph whenever needed.
#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat #AI
Google has designed TensorFlow such that it is capable of dividing a large model graph whenever needed.
#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat #AI
3/n
It assigns special SEND and RECV nodes whenever a graph is divided between multiple devices (CPUs or GPUs).
#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat #AI
It assigns special SEND and RECV nodes whenever a graph is divided between multiple devices (CPUs or GPUs).
#TensorFlow #DataScience #DeepLearning #MachineLearning #ComputerVision #100DaysOfMLCode #Python #DataScientist #Statistics #programming #Data #Math #Stat #AI
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
