Wyckoff

[Wyckoff @Wykcoff101]

@doctor_rahmeh @RamizN04 Semite is a linguistic label, not a race. Where did you learn science? No wonder why you’re not practising medicine anymore!

[Wyckoff @Wykcoff101]

@JustMike_Crypto Focus on stocks, crypto is trash

[Wyckoff @Wykcoff101]

@volcrushed @Sleepysolcap The biggest bears are those that didn’t keep longs from the bottom. I’m still in all mine and won’t seek a dime

[Wyckoff @Wykcoff101]

@Lord_Sugar It’s passed not past. You’re fired!

[Wyckoff @Wykcoff101]

@Sleepysolcap Do you enjoy watching what married women do? It’s kinda creepy and pathetic

[Wyckoff @Wykcoff101]

@cyborg_reborn These people have the DNA of someone who existed 1400 years ago? Haha

[Wyckoff @Wykcoff101]

@CryptoMichNL You were buying and promoting alt coins whilst people made millions buying memory stocks, real businesses not Ponzi schemes.

[TrendSpider @TrendSpider]

$AMZN Surely this can't go lower... right? Right?

Asking for a friend

[Wyckoff @Wykcoff101]

@jasonpizzino Fartcoin top?

[Leaders 𝕏 Junction @LeadersJunction]

How to start a speech so everyone listens (FBI method)‼️‼️

[Wyckoff @Wykcoff101]

@TraderDaink Haha good scam

[Wyckoff @Wykcoff101]

@Invest_N_Learn This is about to rip. Wycoff style

[Francis Ngannou @francis_ngannou]

The Simpsons always know

[Md Riyazuddin @riyazmd774]

Are you passionate to become Data Analyst?

Here is the Roadmap with FREE resources ⚡ 📊

𝟭 - 𝗘𝘅𝗰𝗲𝗹: Start with Excel, Analyzing Data in Excel empowers you to understand data through detailed visual summaries, trends, and patterns.

- 𝗘𝘅𝗰𝗲𝗹 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲:
https://t.co/pxBAILYl6v

𝟮 - (𝗶) 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲: Choose 'Python' or ' R ', any one language for your journey, Python may be the ideal choice if you want to transition to machine learning.

- 𝗣𝘆𝘁𝗵𝗼𝗻 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: https://t.co/HbUkdU8prQ

(𝗶𝗶) 𝗥 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: If you're passionate about the statistical computation and data visualization aspects of data analysis, R could be a good fit for you.

- '𝗥' 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: https://t.co/zVoMye0vbM

𝟯 - 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: Learn both SQL & No SQL databases

- MySQL Resources: https://t.co/AuGf68ETNM

- Mongo DB: https://t.co/gaGJ4DpRf4

𝟰- 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 & 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Master the concepts of Descriptive Statistics and Inferential Statistics

- 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: https://t.co/VWjtntZu6a

𝟱 - 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀: Learn Tableau or Power BI
- [Power BI] Resource: https://t.co/n5VtvZJSFX

- [Tableau] Resource: https://t.co/Q9cVjjrhQ7

Moreover, here is the quarter-wise roadmap to become a Data Scientist in 2023: https://t.co/vpifwBZrgS

That's a wrap!

If you found this helpful.

Follow me @riyazmd774 for more free courses like these.

Feel free to #share your thoughts about this #roadmap and /or #Repost the post

#freecourses #google
#data #analayst #roadmap #datascience

[Santiago @svpino]

AI/ML will dominate the next few decades.

I learned Machine Learning and my life changed forever.

I now teach a program called "Building Machine Learning Systems."

It's live. It's hard-core.

These are all of the topics we will cover over 2 intense weeks:

• Data > models
• Sampling strategies
• Weak supervision
• Active learning
• Data leakage
• Imputation
• Standardization
• Encoding
• Training pipeline
• Inference pipeline
• Deployment pipeline
• Data parallelism
• Model parallelism
• Imbalance data
• Dealing with rare events
• Reproducibility
• Experiment tracking
• Good models versus useful models
• Framing evaluation metrics
• Backtesting
• Model fairness
• Model robustness
• Model versioning
• Latency, throughput, and costs
• On-demand inference
• Batch inference
• Quantization
• Knowledge distillation
• Serving predictions
• Multi-model endpoints
• Problems in production
• Data distribution shifts
• Unintended feedback loops
• Catastrophic predictions
• Covariate shift
• Concept drift
• Monitoring
• Continual learning
• Retraining data and frequency
• Staless training
• Stateful training
• Testing in production
• A/B testing
• Shadow deployments
• Canary releases
• Interleaving experiments
• Multi-armed bandits
• 3 steps to approach a problem
• 10 tips for selecting the best model
• 8 steps to evaluate models
• 3 steps to perform error analysis
• 3 strategies to keep your model working
• 4 steps to implement continual learning

My guarantee is simple: you'll learn more than you've ever done before.

• Cohort #8 starts on Monday.
• Cohort #9 starts on December 4th.
• Cohort #10 starts on January 8th.

Join the community here: https://t.co/bVxEA9mVQ1.

You pay once, and you get lifetime access to every program and session we run. No recurrent fees. Every day, you get more value, and your membership becomes more valuable.

(We are now bringing experts to run individual sessions. We have a session about Transformers next week.)

If you have any questions, let me know.

[Madni Aghadi @hey_madni]

PowerPoint is not enough.

ChatGPT can make your slides better.

Here's how to make presentations in minutes:

[ Bookmark to use later 🧵 ]

[Michael Wu @michaelwu00]

@crazyclipsonly Is that the trend at gas station?

[Altcoin Daily @AltcoinDaily]

Today JPMorgan Chase banned bitcoin & #crypto transactions for all UK clients. Possibly more banks to follow.

But remember, Jamie Dimon, CEO of Chase, isn't selling. Jamie Dimon is most likely buying. And Chase is probably buying too.

Remember what happened back in 2017 👇

[Health & Men's Care @Noblemasculin1]

12 Must Read Books Before 2024:

1.

[Kirk Borne @KirkDBorne]

The 9 most important plots in #DataScience in a single frame!

Source for #infographic: https://t.co/PlAMTVvGdW

#DataViz #DataScientists #DataStorytelling