AI Contents Archive

Learn about the new #Python Data #Analytics book by @wesmckinn here: https://t.co/1ZFlGCaFec ———— #abdsc #DataScience #MachineLearning #BigData #AI #DataScientists #100DaysOfCode #Numpy #Pandas #Jupyter #DataWrangling ——— The book: https://t.co/ZvAuOKeG6J https://t.co/P8XEBdMKam

Gartner: Top Strategic Technology Trends for 2022 #MachineLearning #AI #Python #DataScience #BigData #DeepLearning #IoT #100DaysOfCode #5G #robots #tech #ArtificialIntelligence #NLP #cloud #4IR #cybersecurity https://t.co/A1fFxDZ1oV

Highlights of the annual World #Robot Conference in Beijing by @euronewsnext #AI #ArtificialIntelligence #MI #Robotics #Engineering #Innovation #FutureOfWork #Tech #Technology cc: @terenceleungsf @wil_bielert @ronald_vanloon https://t.co/E4n0iqMaur

(1/5) During our #NLLB AMA, researchers were asked about language-specific challenges faced. ❓: Were there any specific challenges the team faced out of the languages chosen (i.e. from different scripts)? 🧵’d below. https://t.co/W3Np1ipWp1

Attention mechanism in #DeepLearning, Explained #KDnuggets https://t.co/yi7BAUGm8M

Automated ⁠ ⁠#MachineLearning with #Azure Cloud Services: https://t.co/wa2uCBcHA8 ————— #DeepLearning #AI #DataScience #DataMining #AnomalyDetection #DataScientists #BigData #Cloud #100DaysOfCode #Python #AutoML https://t.co/WgorvZaNdj

What Are The Differences Between Econometrics, Statistics, And #MachineLearning? by @yudapearl @Quora Learn more: https://t.co/ZPntUBb4Li #AI #BigData #ArtificialIntelligence #ML #MI #DataScience #Robotics #DL #Tech cc: @randal_olson @bernardmarr https://t.co/lS60X8Uk0W

Ransomware Attacks are on the Rise #DataSecurity #Privacy #100DaysOfCode #Cloud #Security #MachineLearning #Phishing #Ransomware #Cybersecurity #CyberAttacks #DataProtection #CyberDefense #Infosec https://t.co/F4xC3KcMTM https://t.co/iQXI2INsVy

9 #Free Harvard Courses to Learn #DataScience in 2022 #KDnuggets https://t.co/l5A5A6Hb46

(5/5) Read the full #NLLB convo with more answers from researchers @shruti_bhosale, Angela Fan, Jean Maillard, @melbayad, and Philipp Koehn. 👉 https://t.co/2vP2iJgnRx

😲Why #DataMonetization is a Waste for Most Companies — The Growing Importance of the #AI Innovation Office: https://t.co/jkWIVpH36J by @schmarzo —— #abdsc #BigData #Analytics #DataScience #MachineLearning #DataLeadership #DataStrategy —— 🌟+See this book: https://t.co/EOF1BV2hGe https://t.co/zHNSih1tNF

#ArtificialIntelligence Is Creating A Fake World - What Does That Mean For Humans? by @BernardMarr @Forbes Learn more: https://t.co/tDPTaqZGWo #AI #IoT #BigData #MachineLearning #ML #MI #DataScience #Robotics #5G cc: @spirosmargaris @mikequindazzi @alvinfoo https://t.co/CwIcdo82p2

Top Cyber Security Qualifications to Help Advance Your #DataSecurity #Privacy #100DaysOfCode #Cloud #Security #MachineLearning #Phishing #Ransomware #Cybersecurity #CyberAttacks #DataProtection #Malware #Hacked #Infosec https://t.co/fUddQrH2EV https://t.co/Ra589RubZN

What if? Causal inference through counterfactual reasoning in PyMC - PyMC Labs https://t.co/DywbPeZBUt https://t.co/QCXaUzFgyB

(4/5) ↩️ (cont’d): Also, languages that weren’t clearly defined (e.g. no tenses) required inference.