Dave Maclean

CEO and Founder Packt. Every company is, or soon will be a tech company.

[Dave Maclean @davemaclean]

@miguelamigot Congratulations

[Shyam Varan Nath @shyamvaran]

While at #MWC / #MWC23, wondering what does a role like #5G #Architect do?
Mastering 5G Network Design, Implementation, and Operation: Your complete guide to understanding, designing, deploying, and managing 5G Networks
https://t.co/MTSLgmTcHi

[Packt Publishing @PacktPublishing]

Hurry, there are just over 24 hours until we call time on our $5 sale 🔔

When it’s over, it’s over. So stock up on your eBooks and video courses for the year while you still can: https://t.co/sQe4YXmbXM

#packtfivedollarsale

[Dave Maclean @davemaclean]

@SoVeryBritish FA Cupped

[Packt Publishing @PacktPublishing]

Our $5 sale is officially back! 🙌

You can now get any of our eBooks or video courses for just $5. That includes our new releases, certification guides, and bestsellers.

Dig into our library and start learning for less: https://t.co/YFLsWnJnWK

#packtfivedollarsale

[Jeremy Walker @iHiD]

We've created "Pause for Menopause" for #WorldMenopauseDay. Take a watch of our intro video below and check out more of our meaningful, team-based Experiences at https://t.co/0p0kkYdb3y - see how Kaido can help make your company a better place to work 🎉

[Nadeem Shabir 💫 @kiyanwang]

I’ve seen first hand just how important a difference @theSchoolOfCode has made in transforming so many peoples lives!

[Kirk Borne @KirkDBorne]

500+ pages!
🌟🌟
“The @Kaggle Book: Data analysis and #MachineLearning for competitive #DataScience” at https://t.co/GtJYB75eDm by @tng_konrad and @LucaMassaron via @PacktPublishing
————
#BigData #DataScientists #AI #DeepLearning #Kaggle #Coding #100DaysOfCode

[Packt Publishing @PacktPublishing]

Hyperparameter Tuning with Python curates numerous hyperparameter tuning methods for #Python, one of the most popular coding languages for #machinelearning.

Feel free to refer to the author Louis Owen's blog to find out more about the book: https://t.co/yLL9VGGgIk

[Dave Maclean @davemaclean]

Liberalism and its Discontents by @FukuyamaFrancis is the beautifully constructed and written summary state of evolution of individual and collective today, and reintegration of extremes

[Dave Maclean @davemaclean]

@holland_tom can you get @FukuyamaFrancis on to talk about origins of the state and politics esp role christianity breaking kin based order?

[lamis chebbi @LamisChebbi]

📘Finally received my copy ! how it feels great to see my name on the cover. Here’s a Reel from one of my favorite places in my hometown 🇹🇳 sending lots of love your way.

Get your copy here : https://t.co/5nk3Z8iG4U @PacktAuthors #rxjs #angular

[Packt Publishing @PacktPublishing]

How do you drive company-wide productivity?

Join Yas Poptani, CTO at Packt on Wednesday 27th July at 10am BST as he shares his vision for company-wide productivity & discusses his journey rolling out ClickUp & driving adoption across the organisation. https://t.co/fs4vydkpHt

[Dave Maclean @davemaclean]

@collision @tylercowen Democracy

[Kirk Borne @KirkDBorne]

[*NEW BOOK*] 500+ pages!
🌟🌟
“The @Kaggle Book: Data analysis and #MachineLearning for competitive #DataScience” at https://t.co/GtJYB74GNO by @tng_konrad and @LucaMassaron @PacktPub @PacktAuthors
—————
#BigData #DataScientists #AI #DeepLearning #Kaggle #Coding #100DaysOfCode

[Kaggle @kaggle]

🎉🎉🎉 @tng_konrad & @lucamassaron on releasing your new book, The Kaggle Book! It aggregates their experience & shares everything needed to make the most of the platform–incl competition analysis, sample code, end-to-end pipelines and 31 GM interviews: https://t.co/oniFHXp93F

[Dave Maclean @davemaclean]

@flupton Any more on the tiramisu? Emperor of Deserts

[School of Code @theSchoolOfCode]

We're so excited to welcome you to our biggest Demo Day yet where over 180 ready-to-work software developers will be graduating from our free, intensive Bootcamp!🚀
Be prepared to have your socks blown off!🧦🔥
Get your tickets here: https://t.co/zhB9T95JfH

[elvis @omarsar0]

New machine learning book I'll be reading this month. Very interested in the PyTorch and graph neural network chapters.