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دانشگاه اهل بیت (ع) و گروه آموزشی صنعتی رهسا برگزار می‌کند:

"دوره جامع Machine Learning"

👤 مدرس:
مهندس نگار حسینی
فعال حوزه رباتیک
(مقام چهارم لیگ خودروی خودران روبوکاپ ۲۰۲۳)

این دوره پیش‌نیاز ندارد!

🗒سرفصل‌های دوره:
○ Python Crash Course
○ Data Analysis (numpy-pandas)
○ Data Visualization (matplotlib-seaborn and pandas)
○ Linear Regression
○ K Nearest Neighbors
○ Decision Trees & Random Forests
○ Support Vector Machine (SVM)
○ K Means Clustering

🗓 تاریخ و ساعت برگزاری کلاس:
• آغاز دوره از ۱۵ مرداد ماه
• یکشنبه‌ها و چهارشنبه‌ها از ساعت ۱۶ الی ۱۹

🔷️ به همراه ارائه مدرک رسمی و معتبر دو زبانه

🔶️ هزینه ثبت نام:
ثبت نام به صورت آزاد: ۴٧۵ هزار تومان
ثبت نام مخصوص دانشجویان دانشگاه اهل بیت (ع) و دانشگاه علم و صنعت ایران: ۴۵٠ هزار تومان
ثبت نام به صورت گروهی: ۴٣۵ هزار تومان

🔵 لینک ثبت‌نام دوره:
https://evnd.co/wRhjP

⭕️ برای اطلاعات بیشتر به آیدی زیر پیام دهید:
@rahsa_admin

لینک کانال تلگرامی:
🔷️ https://www.group-telegram.com/AIOT_School

🔹️ https://www.group-telegram.com/Machinelearning_rahsa



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دانشگاه اهل بیت (ع) و گروه آموزشی صنعتی رهسا برگزار می‌کند:

"دوره جامع Machine Learning"

👤 مدرس:
مهندس نگار حسینی
فعال حوزه رباتیک
(مقام چهارم لیگ خودروی خودران روبوکاپ ۲۰۲۳)

این دوره پیش‌نیاز ندارد!

🗒سرفصل‌های دوره:
○ Python Crash Course
○ Data Analysis (numpy-pandas)
○ Data Visualization (matplotlib-seaborn and pandas)
○ Linear Regression
○ K Nearest Neighbors
○ Decision Trees & Random Forests
○ Support Vector Machine (SVM)
○ K Means Clustering

🗓 تاریخ و ساعت برگزاری کلاس:
• آغاز دوره از ۱۵ مرداد ماه
• یکشنبه‌ها و چهارشنبه‌ها از ساعت ۱۶ الی ۱۹

🔷️ به همراه ارائه مدرک رسمی و معتبر دو زبانه

🔶️ هزینه ثبت نام:
ثبت نام به صورت آزاد: ۴٧۵ هزار تومان
ثبت نام مخصوص دانشجویان دانشگاه اهل بیت (ع) و دانشگاه علم و صنعت ایران: ۴۵٠ هزار تومان
ثبت نام به صورت گروهی: ۴٣۵ هزار تومان

🔵 لینک ثبت‌نام دوره:
https://evnd.co/wRhjP

⭕️ برای اطلاعات بیشتر به آیدی زیر پیام دهید:
@rahsa_admin

لینک کانال تلگرامی:
🔷️ https://www.group-telegram.com/AIOT_School

🔹️ https://www.group-telegram.com/Machinelearning_rahsa

BY vision-dustry




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Additionally, investors are often instructed to deposit monies into personal bank accounts of individuals who claim to represent a legitimate entity, and/or into an unrelated corporate account. To lend credence and to lure unsuspecting victims, perpetrators usually claim that their entity and/or the investment schemes are approved by financial authorities. Pavel Durov, a billionaire who embraces an all-black wardrobe and is often compared to the character Neo from "the Matrix," funds Telegram through his personal wealth and debt financing. And despite being one of the world's most popular tech companies, Telegram reportedly has only about 30 employees who defer to Durov for most major decisions about the platform. Telegram has gained a reputation as the “secure” communications app in the post-Soviet states, but whenever you make choices about your digital security, it’s important to start by asking yourself, “What exactly am I securing? And who am I securing it from?” These questions should inform your decisions about whether you are using the right tool or platform for your digital security needs. Telegram is certainly not the most secure messaging app on the market right now. Its security model requires users to place a great deal of trust in Telegram’s ability to protect user data. For some users, this may be good enough for now. For others, it may be wiser to move to a different platform for certain kinds of high-risk communications. One thing that Telegram now offers to all users is the ability to “disappear” messages or set remote deletion deadlines. That enables users to have much more control over how long people can access what you’re sending them. Given that Russian law enforcement officials are reportedly (via Insider) stopping people in the street and demanding to read their text messages, this could be vital to protect individuals from reprisals. The S&P 500 fell 1.3% to 4,204.36, and the Dow Jones Industrial Average was down 0.7% to 32,943.33. The Dow posted a fifth straight weekly loss — its longest losing streak since 2019. The Nasdaq Composite tumbled 2.2% to 12,843.81. Though all three indexes opened in the green, stocks took a turn after a new report showed U.S. consumer sentiment deteriorated more than expected in early March as consumers' inflation expectations soared to the highest since 1981.
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